Trabajos ai engineer en LondonCrear alertas

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n Role Overview \n As the Head of Complaints, you will hold a pivotal leadership position reporting to the Director of Complaints, Fraud and Financial Crime. You will be at the heart of our mission to make consumer finance faster, cheaper, and friendlier. By championing the benefits of learning from complaint outcomes across the business, you will lead the strategic direction of our complaints department across multiple product lines. \n This is more than a management role; it is a mandate to build a high-performance environment that balances rigorous FCA regulatory compliance with the innovative, technology-driven agility of a leading fintech unicorn. You will be responsible for resolving complex issues, identifying systemic root causes, and fostering a culture of continuous learning and improvement to deliver exceptional customer outcomes. \n Key ResponsibilitiesStrategic Leadership & Team Development \n\n • \n Lead the Complaints Department: Set the strategic direction and objectives for the team, ensuring quality is maintained across all service lines. \n • \n Foster Growth Culture: Identify and develop future leaders through coaching and support, ensuring promotion is limited only by ability and ambition. \n • \n Drive Performance: Oversee a high-performance team with a relentless focus on productivity, efficiency, and consistency. \n • \n Stakeholder Management: Build and manage strategic partnerships across the business and champion the function at key meetings, including the Risk Committee. \n\n Operational Excellence & Innovation \n\n • \n Process Redesign: Continually review and optimise complaints processes to ensure they remain scalable and offer the best possible customer journey. \n • \n Root Cause Analysis (RCA): Lead all aspects of Root Cause and Remediation activity resulting from complaints to identify systemic failures and drive long-term business improvements. \n • \n Data-Driven Insights: Confidently interpret performance data and reporting to highlight areas for change and realise cost efficiencies. \n • \n Technology Integration: Leverage in-house technology, machine learning, and AI to automate heavy lifting and enhance resolution speed. \n\n Governance, Risk & Compliance \n\n • \n Regulatory Liaison: Act as the primary relationship holder with the Financial Ombudsman Service (FOS) and ensure all reporting to the FOS or the FCA meets DISP requirements. \n • \n Policy Ownership: Continuously redesign and re-engineer procedures to adapt to product growth and customer demand, ensuring full adherence to FCA regulations. \n • \n Conduct Risk: Proactively identify, monitor, and control conduct risk to prevent customer detriment. \n • \n Reporting: Take full responsibility for complaints data accuracy and reporting to the regulator and white-label partners. \n • \n Risk Mitigation: Ensure any identified risks are mitigated, actions are owned and delivered to plan, and drive accountability to promote a well-controlled function. \n\n Required Qualifications \n\n • \n Extensive Leadership Experience: Significant experience leading teams within the financial services sector. \n • \n Regulatory Expertise: Practical knowledge of FCA regulatory requirements and DISP rules. \n • \n Strategic Influence: Proven ability to manage and influence key influencers and decision-makers. \n • \n Communication Skills: Strong communication skills, both written and verbal. \n • \n Fast-Paced Delivery: A track record of prioritising and delivering in a fast-moving, high-growth environment. \n • \n Hands-on Approach: A self-starter who is willing to dive into the details of the team's work. \n\n Preferred Qualifications \n\n • \n Industry Specifics: Experience working in the motor industry or handling automotive finance complaints is highly desirable. \n • \n Fintech Background: Previous experience in a "unicorn" or rapidly scaling fintech environment. \n • \n Technical Literacy: Fluency in modern digital tools and an interest in AI-driven operational solutions. \n\n Interview Process \n 1) 30 minute call with a member of the Talent Team \n 2) 15 minute Cognitive Assessment \n 3) 45 minute Case Study Interview \n 4) 60 minute Onsite Interview with the Director of Complaints, Fraud and FinCrime \n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. \n dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. \n dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. \n We are seeking a Lead Engineer – Workplace Technology & Automation to act as an internal consultant across our function. This role will identify opportunities, shape solutions, and help teams implement practical improvements across workplace services, support processes, and platform operations. It is a hands-on, non-managerial position suited to someone with strong Microsoft-centric expertise and a consultative, pragmatic approach. \n Role and Responsibilities \n\n • \n Lead technical architecture reviews, risk assessments, and design decisions. \n • \n Create roadmaps, reference patterns, and reusable checklists to improve delivery quality. \n • \n Drive automation and AI adoption to reduce manual effort and enhance consistency. \n • \n Mature Copilot usage within the workplace environment, building custom agents and plugins for enterprise workflows. \n • \n Design and implement automation using scripting, APIs, and infrastructure-as-code. \n • \n Improve integration between Microsoft 365 and service platforms such as ServiceNow. \n • \n Act as an internal consultant, shaping ideas into workable solutions using agile practices. \n • \n Collaborate with vendors and partners to ensure delivery aligns with internal standards. \n\n Must-Have Skills \n\n • \n 10+ years of strong expertise across the Microsoft stack: Microsoft 365, Copilot, Intune, Entra ID. \n • \n Proven experience designing or delivering automation solutions in enterprise environments. \n • \n Hands-on experience using AI to improve operational processes and support services. \n • \n Proficiency in PowerShell, APIs, scripting, and infrastructure-as-code. \n • \n Experience in agile delivery environments (user stories, backlog-driven delivery). \n • \n Ability to shape roadmaps and turn opportunities into practical, scalable plans. \n • \n Strong stakeholder management and communication skills. \n • \n Prior experience as a senior individual contributor, specialist, or internal consultant. \n\n Good-to-Have Skills \n\n • \n Experience with ServiceNow integrations with Microsoft 365 or workplace services. \n • \n Background in improving service desk or support workflows through automation. \n • \n Experience establishing standards or operating models for AI/automation services. \n • \n Relevant certifications: TOGAF, ScrumMaster, Microsoft SC-300 / MD-102 / AZ-500. \n • \n Exposure to Mac/Linux management environments. \n\n What you can expect from us \n We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. \n You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. \n And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. \n Our approach to Flexible Working \n At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. \n We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. \n For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role. \n Ready for a challenge? \n Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday convenience. \n Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe \n About this role \n We're looking for an experienced Senior Data Engineer to join the Insights & Enablement team within Retail Media Tech at JET. This team sits at the heart of JET's retail media data platform, responsible for the infrastructure, pipelines, and data products that power how advertisers understand, optimise, and grow their campaigns on the JET platform. \n This is not a typical Senior Data Engineer role. You'll work across the full stack of modern data engineering ranging from event streaming and attribution pipelines to Gold Layer data marts and AI-powered tooling and you'll help shape the technical foundation that underpins our retail media platform at scale. You'll partner closely with data scientists, analytical engineers, product managers, and ML engineers to turn complex data challenges into reliable, scalable production systems. \n We're building a lot: a TopRank Sponsored Listings data platform on BigQuery and dbt, a semantic layer serving Tableau and Looker Studio, Snowplow-based event attribution infrastructure, and agentic AI tooling for Post-Campaign Analysis. You'll have the opportunity to work on all of it. \n Critically, this role operates in a highly cross-functional environment. You'll work alongside JET's central Data & Analytics organisation, Platform Engineering, and other technology teams aligning on shared infrastructure standards, contributing to joint working groups, and ensuring retail media data products integrate cleanly with the broader JET data ecosystem. \n As a senior member of the team, you'll do more than code you'll help define best practices, mentor engineers, and raise the technical bar across the team. \n These are some of the key components to the position: \n\n • Design and build scalable data pipelines and event streaming architectures across batch and near-real-time workloads, with a focus on reliability and data quality.\n, • Develop and maintain Gold Layer data marts in BigQuery using dbt Core, with a strong grasp of top-down/bottom-up data modelling methodologies (Kimball, OBT, or equivalent).\n, • Build and maintain Airflow-orchestrated ELT workflows across the retail media data platform, including attribution pipelines supporting campaign performance and incrementality measurement.\n, • Contribute to Retail Media event tracking infrastructure, schema governance, SLA/SLO monitoring, and data quality validation across the unified events pipeline.\n, • Support the development of a semantic layer (Cube.dev/Helix) bridging BigQuery Gold tables to downstream BI tooling.\n, • Begin to contribute to architecture discussions beyond your immediate team, identifying improvement points in individual components and the system as a whole, with a clear path to shaping platform-level decisions at Staff level.\n, • Embed DataOps best practices across the team: CI/CD, testing, observability, data drift monitoring, and incident response using tools like Grafana and Datadog.\n, • Collaborate with ML engineers and data scientists to productionise models and agentic tooling built on internal AI platforms, with hands-on use of AI-assisted development tools such as Claude.ai, OpenAI, GitHub Copilot, and Cursor as part of your everyday engineering workflow.\n, • Work cross-functionally with Data & Analytic\n, • s, Platform Engineering, and other JET technology teams, contributing to shared standards, joint initiatives, and platform-level decisions that affect the broader data estate.\n, • Mentor engineers within the team and contribute to technical documentation, decision-making frameworks, and engineering standards.\n\n What will you bring to the team? \n\n • \n Demonstrable senior-level experience building and delivering data engineering solutions, including distributed systems, event-driven architectures, and large-scale data processing (batch and streaming). \n • Strong Python skills and solid SQL across BigQuery or equivalent cloud data warehouses; familiarity with Scala or Java is a plus.\n, • Deep expertise in data pipeline design: batch vs. streaming, ETL/ELT, schema design, partitioning, and efficient storage patterns.\n, • Hands-on experience with dbt Core (or dbt Cloud) and Airflow for orchestration and transformation at scale.\n, • Solid grounding in data warehouse and data lake architecture, including dimensional modelling and layered architectures (Gold/Silver/Bronze or equivalent).\n, • Production experience with GCP (BigQuery, Dataflow, GCS) and AWS (S3, Iceberg, Kinesis, DynamoDB), you're comfortable operating across both clouds. \n, • Familiarity with OLAP and OLTP storage systems and an eagerness to build expertise in stream processing technologies such as Apache Flink, Kafka, or Spark. (Nice to have: ClickHouse.)\n, • Familiarity with observability tooling such as Grafana or Datadog, and a good instinct for keeping systems healthy and well-monitored.\n, • Active engagement with the evolving AI/ML tooling landscape — you integrate AI-assisted development tools (Claude.ai, OpenAI, GitHub Copilot, Cursor, or equivalent) into your daily workflow and are curious about how LLMs and agentic systems are reshaping how data products are built and operated.\n, • A track record of contributing to and shaping design decisions beyond your own work, through standards, technical documentation, or supporting the growth of colleagues.\n, • Comfortable working across a matrixed, cross-functional environment, able to operate effectively within shared platforms, align with central teams, and shape technical decisions beyond Insights & Enablement\n\n At JET, this is how we play \n Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. \n Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice. Every time a customer decides where to order, they're picking a side. \n At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again. \n Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition. \n Inclusion, Diversity & Belonging \n No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. \n What else is cooking? \n Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. \n Are you ready to take your seat? Apply now! \n #LI-NB2

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies. \n As a Lead Infrastructure Engineer at JPMorganChase within the Market Data team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise. \n The team is responsible for supporting, maintaining, and enhancing a number of critical market data platforms that service multiple lines of business across the firm. We are seeking an experienced individual with a proven history supporting the trading business and its market data needs in a production environment. \n Working pattern: This role involves working a shift pattern to cover core trading hours, and some weekend work will be required. The successful candidate will be a strong team player who can also operate with a high degree of autonomy, owning issues end-to-end with minimal supervision when needed. \n Job responsibilities \n\n • Applies technical expertise and problem-solving methodologies to projects of moderate scope and executes creative solutions for design, development, and technical troubleshooting for problems of moderate complexity\n, • Provide production support for critical market data platforms, ensuring stability, performance, and availability.\n, • Implement production changes and deliver timely resolution to production issues, including clear root-cause ownership and follow-through.\n, • Develop tools and automation to improve production support processes, monitoring, and overall stability of the market data infrastructure.\n, • Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.\n, • Drives a workstream or project consisting of one or more infrastructure engineering technologies and works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes\n, • Strongly considers upstream and downstream data and systems or technical implications and advises on mitigation actions\n, • Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.\n\n Required qualifications, capabilities, and skills \n\n • Formal training or certification on infrastructure engineering concepts and advanced applied experience in TREP / DACS. \n Deep knowledge of one or more areas of infrastructure engineering such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience or performance assessments\n • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.\n, • Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.\n, • Deep knowledge of one specific infrastructure technology and scripting languages\n, • Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds\n, • In-depth knowledge and hands-on experience of market data technologies (installation and support of) used by trading applications, including: \n LSEG RMDS and EEDs, DACS, Bloomberg BPIPE and MFA, Solace, Metafluent, ITRS Geneos\n • Data content and quality expertise - ability to validate if a price is correct; experienced in using tick history tools.\n, • Networking: IP (TCP/UDP/MCAST) and familiarity with switch/routing topologies\n, • Operating systems: Linux (RedHat) system administration\n\n Preferred Qualifications \n\n • Strong knowledge of market data feeds and trading content (previous experience with direct exchange connectivity is an advantage).\n, • Programming/scripting: Shell, Python, Perl, SQL, nice to have Javascript, C++ \n \n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with loveholidays to connect them with exceptional professionals for this role. \n Why Technology at loveholidays? \n At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. \n Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. \n Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology and adhere to our key technology principles that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. \n The impact you'll have: \n As a Principal Engineer in the Boost team, you'll be part of a group of principal engineers who champion technical excellence. The team acts as an enabling function, not a delivery arm. You will embed in other teams to help them improve and work faster. You will be hands-on, leading by example, and coaching others to drive technical excellence and innovation across the company. Your success will be measured by how you help others succeed. \n Your responsibilities include: \n\n • \n Own the team's functional KPIs, defining the measurable outcomes that show our impact. \n • \n Help mission teams deliver faster, safer solutions by solving complex problems and training others to do the same. \n • \n Champion AI adoption, applying it to both engineering processes and solutions. \n • \n Coach our engineers, guiding their growth. \n • \n Build tools to make the Boost team more effective and improve platform governance. \n\n We are looking for a candidate with strong front-end skills. You will work across the various tech systems within our platform and be confident in your ability to quickly learn new technologies. We value an agile mindset, and a proven track record of delivery with teams. \n For a better understanding of our work, refer to some of our blog posts: \n\n • \n How loveholidays is solving the technical excellence paradox \n • \n Your AI Hates Your Prompts (And So Do You) \n • \n Stop Chasing Ghost Errors: A Systematic Approach to Frontend Error Monitoring That Actually Works \n • \n Does website speed contribute to customers booking holidays online? \n • \n Creating a Zero Surprises Culture \n\n Or our open source contributions: \n\n • \n github.com/loveholidays/ripley \n • \n github.com/loveholidays/phrasebook \n • \n github.com/loveholidays/po-test \n • \n github.com/loveholidays/mcp-html-share \n\n As part of our tech culture, we continuously improve our time to deliver, reduce errors, and generally leave things better than we found them. \n Your day to day: \n You will: \n\n • \n Embed in mission teams to solve hard tech problems, coaching engineers hands-on to instill our core engineering principles. \n • \n Drive initiatives to apply AI to build better solutions and improve our engineering process. \n • \n Build tooling and processes to accelerate and enable our platform development. \n • \n Design and oversee impactful systems that run reliably at cloud scale. \n • \n Write and speak about our tech work to raise our engineering profile. \n\n Your skillset: \n\n • \n Experience with AI-powered feature development and leveraging AI tooling for software delivery, with enthusiasm for transforming how we build and deliver software. \n • \n Demonstrable history of working hands-on with engineering teams to solve complex technical challenges, building team capabilities and promoting sustainable practices. \n • \n Seasoned facilitator who excels at pairing with engineers, leading technical discussions, and helping teams navigate architectural decisions through practical, hands-on collaboration. \n • \n Ability to identify and scale successful technical patterns while connecting technical excellence to measurable business outcomes. \n • \n A track record of building and optimising scalable, high-performance websites. \n\n Perks of joining us: \n\n • \n Company pension contributions at 5%. \n • \n Individualised training budget for you to learn on the job and level yourself up. \n • \n Discounted holidays for you, your family and friends. \n • \n 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. \n • \n Ability to buy and sell annual leave. \n • \n Cycle to work scheme, season ticket loan and eye care vouchers. \n\n At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey. \n The interview journey: \n\n • \n 1st stage interview with a member of our Talent Team \n • \n Introduction to loveholidays Engineering with our VP of Engineering (60 mins) \n • \n Presentation/Case Study with our VP and CTO (60 mins) \n • \n Technical interview with 2 of our Principal or Heads of Engineering (60 mins) \n

hackajob is collaborating with Solirius Reply to connect them with exceptional professionals for this role. \n About Us: \n Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs. \n It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. \n We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. \n About You: \n You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values \n The Role: \n We are seeking a highly skilled Java Engineer with AI expertise to design, develop, and deploy intelligent, scalable applications. You will work at the intersection of backend engineering and artificial intelligence, building systems that integrate machine learning models, data pipelines, and cloud-native services. \n This role is ideal for someone passionate about clean architecture, performance optimization, and applying AI technologies to real-world business challenges. \n Requirements \n Key Responsibilities \n\n • Design, develop, and maintain high-performance Java-based applications\n, • Integrate AI/ML models into production-grade backend systems\n, • Build RESTful APIs and microservices using modern Java frameworks\n, • Collaborate with data scientists to deploy and scale machine learning solutions\n, • Optimise system performance, scalability, and security\n\n\n, • Implement CI/CD pipelines and ensure high code quality standards\n, • Work with cloud platforms to deploy AI-powered services\n, • Contribute to architecture decisions and technical roadmaps\n, • Design, develop, and maintain high-performance Java-based applications\n, • Integrate AI/ML models into production-grade backend systems\n, • Build RESTful APIs and microservices using modern Java frameworks\n, • Collaborate with data scientists to deploy and scale machine learning solutions\n, • Optimise system performance, scalability, and security\n, • Implement CI/CD pipelines and ensure high code quality standards\n\n\n, • Work with cloud platforms to deploy AI-powered services\n, • Contribute to architecture decisions and technical roadmaps\n\n Required Qualifications \n\n • Strong experience with Java 12+, Spring Boot, and microservices architecture\n, • Experience integrating AI/ML solutions into backend systems\n, • Understanding of REST APIs, distributed systems, and database design\n, • Familiarity with SQL and NoSQL databases\n, • Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure)\n, • Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes\n, • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries)\n, • Strong problem-solving and communication skills\n\n Preferred Qualifications \n\n • Experience with NLP, computer vision, or recommendation systems\n, • Familiarity with MLOps practices and model lifecycle management\n, • Knowledge of event-driven architectures (Kafka or similar)\n, • Experience with DevOps tooling and infrastructure as code\n, • Exposure to Generative AI and large language models\n\n Benefits \n What We Offer: \n\n • Competitive Salary\n, • Bonus Scheme\n, • Private Healthcare Insurance\n, • 25 Days Annual Leave + Bank Holidays\n, • Up to 10 days allocated for development training per year\n, • Enhanced Parental Leave\n, • Paid Fertility Leave (5 Days)\n, • Statutory & Contributory Pension\n, • EAP with Help@Hand\n, • Gym Membership Benefits\n, • Flexible Working\n, • Annual Away Days/Company Socials\n\n Equality & Diversity: \n Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. \n Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

hackajob is collaborating with loveholidays to connect them with exceptional professionals for this role. \n Why Technology at loveholidays? \n At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. \n Technology at loveholidays underpins our vision to become the global leader in packaged holidays. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. \n Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology and adhere to our key technology principles that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. \n About the team: \n Our lean and dedicated technical team of 5 currently includes the Senior Business IT Manager, two Senior System Administrators, and a System Administrator. You will be the third Senior System Administrator, playing a key role in supporting our 400 staff across the 5th and 6th floors of our Hammersmith HQ. The team also provides regular support to our Dusseldorf office (25 people) with occasional travel, and remotely supports our two outsourced call centres located in India and South Africa. \n The impact you’ll have: \n As a Senior System Administrator, reporting directly to the Senior Business IT Manager, you'll be responsible for the strategic and high-level operational support necessary to ensure the smooth, day-to-day running of all IT systems for every user across all regions. This role acts as a key escalation point for both internal and external stakeholders. \n Your day-to-day: \n\n • \n Support, and administrate a large-scale, multi-platform estate encompassing Google Workspace, Microsoft Azure, and Jamf Pro \n • \n Serve as the primary contact for network issues, collaborating with the broader senior team to resolve problems and conduct necessary network maintenance across different sites. \n • \n Lead large event meeting setup, support and general AV support/break-fix as needed and support 20 Google Meeting rooms. \n • \n Manage multiple queues of tickets using Freshservice within our SLA. \n • \n Manage and run weekly joiners and leavers, account creations and deactivations. \n • \n Support UK Office, Ireland Office and Dusseldorf office (Onsite and remote). \n • \n Completing technical projects in line with quarterly business key results. \n\n Your skillset: \n\n • \n 8+ years working experience as an IT Support Engineer or Administrator \n • \n Degree in a technical subject or industry standard certificates \n • \n Strong working knowledge of Google Workspace, Azure and JAMF \n • \n Strong working knowledge in networking \n • \n Strong working knowledge of managing Mac and Windows devices in an enterprise environment \n • \n Strong working knowledge of managing iOS and Android devices in an enterprise environment \n • \n Strong working knowledge of setting up AV and running large meetings \n\n Desirable: \n\n • \n Experience with Palo Alto, Aruba and Cisco \n • \n Managing AI tools in an enterprise environment, we use Gemini, ChatGPT and Claude \n • \n Experience with n8n in an enterprise environment \n\n The interview journey: \n\n • \n Interview with a Talent Partner - 30 mins \n • \n 1st Stage with Hiring Manager and Senior Team Member(s) - 45 mins \n • \n 2nd Stage - Case Study Presentation and Technical Interview - 1 hour \n • \n 3rd Stage - Key External Stakeholders - 1 hour \n\n Perks of joining us: \n\n • \n Company pension contributions at 5%. \n • \n Individualised training budget for you to learn on the job and level yourself up. \n • \n Discounted holidays for you, your family and friends. \n • \n 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. \n • \n Ability to buy and sell annual leave. \n • \n Cycle to work scheme, season ticket loan and eye care vouchers. \n\n At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Description \n We are seeking an experienced and motivated Lead Software Engineer - Athena to work on our Risk platform and Aggregation system. In this role, you will design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products. You will work at the intersection of technology and finance, delivering high-impact systems that enable critical risk management and profit & loss (P&L) analysis for our trading operations. \n Job Responsibilities \n\n • Build and maintain robust software solutions supporting rates trading activities.\n, • Collaborate closely with quantitative analysts, traders, risk managers, product managers, and other technology teams.\n, • Develop scalable, high-performance Python code to process large volumes of market data and perform complex financial calculations.\n, • Implement risk metrics, P&L attribution frameworks, and data pipelines connecting trading systems to downstream consumers.\n, • Participate in architectural decisions, code reviews, and technical design sessions to shape platform evolution across Rates and Equities.\n, • Gather requirements from business users and translate business needs into technical solutions; communicate technical constraints in business terms.\n, • Maintain and enhance existing and legacy applications when required.\n\n Required qualifications, capabilities, and skills \n\n • Minimum 10 years of hands-on Python development experience.\n, • Strong preference for candidates with a financial services background.\n, • Solid understanding of software engineering principles including object-oriented design, testing methodologies, and version control practices.\n, • Demonstrated ability to write clean, maintainable code and work effectively within large, complex codebases.\n, • Strong verbal and written communication skills with the ability to articulate technical concepts to both technical and non-technical stakeholders.\n, • Proven ability to gather requirements and collaborate across multiple teams and functions.\n, • Capability to translate business needs into technical solutions and explain technical constraints in business terms.\n, • Willingness to understand and work on legacy applications when required.\n\n Preferred qualifications, capabilities, and skills \n\n • Prior experience with financial risk stack platforms such as SecDB, Quartz, or Athena.\n, • Knowledge of rates products including Swaps, Securities, Options, and Repo.\n, • Familiarity with risk methodologies and P&L calculation frameworks.\n, • Experience with distributed systems and real-time data processing.\n, • Proficiency with relational and NoSQL databases.\n, • Experience with web technologies such as React.\n, • Knowledge of modern development practices including CI/CD pipelines and containerization.\n, • Exposure to quantitative finance concepts and market risk measures.\n, • Understanding of regulatory reporting requirements in financial services.\n, • Experience using agentic AI models/tools for rapid development (subject to enterprise authorization and secure usage expectations).\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with AND Digital to connect them with exceptional professionals for this role. \n Senior Software Engineer, 3 month contract \n We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. \n Since 2014, we’ve worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability. \n About you: \n\n • You care deeply about producing high-quality work that delivers real value\n, • You’re comfortable navigating ambiguity and solving complex problems collaboratively\n, • You bring strong expertise in your craft, alongside a willingness to keep learning\n, • You communicate clearly and build trust quickly with clients and teammates\n, • You’re pragmatic, adaptable and outcome-focused\n, • You value low-ego collaboration and enjoy working as part of multidisciplinary teams\n\n What you’ll bring to the table: \n\n • Design, implement, and maintain high-performance embedded and real-time software components in C++, including hardware abstraction layers, device drivers, and data acquisition pipelines\n, • Define and drive technical strategy, proactively identifying and mitigating cross-team dependencies and technical debt while setting the long-term vision for embedded architecture\n, • Act as a technical bridge, synthesising and communicating complex architectural decisions to non-technical stakeholders (including Product, Clinical, and Regulatory teams) to ensure alignment on project goals.\n, • Mentor and grow engineers, fostering a culture of technical excellence, code quality, and professional development within the broader software team\n, • Ensure software quality through code review, unit and integration testing, and strict adherence to the software development lifecycle under IEC 62304\n, • Collaborate with electronics and FPGA teams on hardware-software interfaces, supporting hardware bring-up, system integration, and complex debug\n, • Contribute to risk management and design documentation activities, including software hazard analysis and traceability in line with ISO 14971 and CoMind’s QMS\n, • Participate in design reviews, sprint planning, and cross-functional technical forums, contributing to a high-performance engineering culture\n, • AI is fundamental to our culture; lead the team in embracing AI tools to innovate and improve engineering efficiency\n\n AI Statement \n We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process. \n Equal Opportunities Statement \n Diversity and inclusion are hugely important to us, and we’re committed to providing equal opportunities for all. We’re actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. \n We want you to feel safe and empowered to let us know if you need any adjustments to be made to your application or interview process, so please speak to our recruitment team.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. \n As a Customer Engineer (CE), you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business issues. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues. You will drive the technical win and define the delivery and consumption plans. You will use your acumen and presentation skills to engage with technical and business leaders, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. \n You will focus on identifying, pursuing, and winning new business workloads and driving penetration within existing ones. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics and more. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio. \n Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. \n Minimum qualifications: \n\n • Bachelor's degree or equivalent practical experience.\n, • 10 years of experience with cloud native architecture in a customer-facing or support role.\n, • Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.\n, • Experience engaging with, or presenting to, technical stakeholders or executive leaders.\n, • Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.\n\n Preferred qualifications: \n\n • Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations, Security.\n, • Experience driving the entire business cycle (e.g., defining the delivery and consumption plan and transitioning it for execution).\n, • Experience building long-term technical strategies to uncover new workloads with customers.\n, • Experience migrating applications and services to cloud platforms.\n, • Experience with security concepts (e.g., encryption, identity management, access control, attack vectors, pen testing).\n\n Responsibilities: \n\n • Develop and own the technical account plan and strategy, participating in planning and supporting goal sales motions.\n, • Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.\n, • Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers. Continue to lead the technical engagement in the solution phase.\n, • Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.\n, • Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.\n

hackajob is collaborating with Sierra to connect them with exceptional professionals for this role. \n About us \n At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Tokyo, and Sydney. \n We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. \n Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n What You'll Do: \n As a Forward Deployed Infrastructure Engineer at Sierra, and a founding member of this function, you will own the end-to-end lifecycle of customer deployments, while helping define how Sierra’s AI platform is deployed and operated across enterprise environments. You'll work directly with enterprise customers to architect, deploy, upgrade, and manage Sierra's AI platform infrastructure — ensuring every deployment meets their security, compliance, and operational requirements. In addition, you’ll establish the standards, tooling, and processes that make deployments scalable and repeatable, and partner cross-functionally with Engineering, Product, Sales, and Customer Success. This role will define how Sierra scales some of its most complex customer engagements. \n\n • \n Own deployment architecture conversations and execution — designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning. \n • \n Manage the full infrastructure lifecycle for some of Sierra’s most critical customers: initial deployment, ongoing upgrades, scaling, and incident support. \n • \n Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable. \n • \n Partner with engineering teams to ensure Sierra's platform is deployable and operable across diverse customer requirements. \n • \n Work with customers' platform engineering, security, and DevOps teams to navigate their infrastructure constraints and compliance requirements. \n • \n Collaborate with Sales and Customer Success to scope infrastructure requirements during pre-sales and onboarding, translating customer needs into concrete deployment plans. \n\n What You'll Bring: \n\n • \n 4+ years of experience in infrastructure, DevOps, platform engineering, or solutions architecture roles — with significant time spent on customer-facing deployment work. \n • \n Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing). \n • \n Track record of managing deployments in customer-owned cloud environments, including navigating security reviews, compliance requirements, and change management processes. \n • \n Ability to navigate ambiguity with enterprise stakeholders — from platform engineers to CISOs — and turn infrastructure conversations into actionable deployment plans. \n • \n Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from the start, not as an afterthought. \n • \n Comfortable working in a fast-moving environment and collaborating across engineering, product, and go-to-market teams. \n • \n Degree in Computer Science or a related field, or equivalent professional experience. \n\n Even better... \n\n • \n Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. \n • \n Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. \n • \n Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar). \n • \n Experience with CI/CD pipeline design, deployment automation, or infrastructure self-service tooling for enterprise customers. \n\n Our values \n\n • \n Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. \n • \n Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. \n • \n Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. \n • \n Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. \n • \n Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. \n\n What we offer \n We want our benefits to reflect our values and offer the following to full-time employees: \n\n • \n Flexible (unlimited) paid time off \n • \n Medical, dental, and vision benefits for you and your family \n • \n Life insurance and disability benefits \n • \n Retirement plan dependent on country of employment \n • \n Parental leave \n • \n Fertility and family building benefits through Carrot \n • \n Lunch, as well as delicious snacks and coffee to keep you energized \n • \n Discretionary benefit stipend giving people the ability to spend where it matters most \n • \n Free alphorn lessons \n\n These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. \n Be you, with us \n We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us in shaping the future of AI at JPMorganChase, where you can make a real impact by building autonomous agents that solve critical challenges. We value your expertise and encourage you to pioneer new approaches, bridging theory and practice while collaborating with talented teams across the globe to help define how AI transforms the world's largest bank. Experience career growth, mentorship, and the excitement of building next-generation solutions. \n We're developing an AI platform and desktop application that helps users automate their document processing workflows at the world's biggest bank, already operating at hundreds of documents per second and doubling every three months, leveraging agentic systems that are powerful, truly generalizable, and scalable while maintaining security in a highly sensitive enterprise environment. \n As a Machine Learning Engineer in the Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, you will design and deliver production architectures for AI-powered products and services, working at the intersection of software engineering and scientific research to translate innovative ideas into scalable enterprise solutions. You will collaborate with cloud and SRE teams in a role that offers flexibility for individual contributors and optional management responsibilities, depending on your interests and experience. You will help shape the team culture and drive impactful change. \n Job Responsibilities: \n\n • Design and deliver enterprise-grade machine learning systems\n, • Collaborate with cloud and SRE teams to build robust production architectures\n, • Translate scientific research into scalable ML solutions\n, • Develop and deploy business-critical, data-intensive applications\n, • Implement distributed, multi-threaded, and scalable applications\n, • Build, test, and deploy automated pipelines for ML solutions\n, • Leverage foundational libraries and services for re-use across teams\n, • Apply best practices in software engineering and computer science\n, • Utilize MLOps tools for versioning, reproducibility, and observability\n, • Align ML problem definitions with business objectives\n, • Mentor and support team members, with optional management responsibilities\n\n Required Qualifications, Capabilities, and Skills: \n\n • Experience in machine learning engineering roles\n, • Degree in a quantitative discipline (Computer Science, Mathematics, Statistics)\n, • Proven ability to develop and deploy business-critical, data-intensive applications\n, • Extensive experience with AWS and Kubernetes\n, • Proficiency with lower-level libraries such as PyTorch and NumPy\n, • Hands-on experience implementing distributed, multi-threaded, and scalable applications\n, • Experience with automated building, testing, and deployment pipelines\n, • Familiarity with higher-level interfaces like Pydantic AI and Langraph\n, • Strong understanding of computer science fundamentals and development best practices\n, • Broad knowledge of MLOps tooling for versioning, reproducibility, and observability\n, • Ability to understand business objectives and align ML problem definitions\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience mentoring or leading teams\n, • Knowledge of agentic AI concepts\n, • Experience designing reusable libraries and services\n, • Interest in bridging scientific theory and enterprise-grade systems\n, • Passion for innovation and continuous learning\n\n Why Join Us? \n You will be part of a pioneering team that is transforming banking with AI. We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Simply Business to connect them with exceptional professionals for this role. \n Our story - continued commitment to doing the right thing \n \n 2005 seems like a long time ago. Simply Business – a small company with a big idea. To transform the way that other small businesses could get the insurance that they need. To reduce time, hassle and jargon wherever possible while introducing the simplicity, choice and value that small businesses are entitled to. To protect them from harm. To keep their livelihoods safe. And to do all this with the promise of positive service. Delivered by happy people, working flexibly, learning constantly. With a restlessly innovative spirit. Within a business committed to doing the right thing. All of the time. \n \n As we’ve grown, we’ve tried hard to keep true to this. To ourselves, to our 800 strong team and to the 3.5m customers that we’ve served so far. And as we move forward, as we enter a big new market, as we grow responsibly, as we improve our products, as we offer our customers more of what they need, of what they deserve, we’ll hold onto the focus of that small company with the big idea. Protecting and serving businesses across the UK and the US. From barbers to bakers, consultants to cleaners, they are the backbone of the economy. \n \n And we’ll continue to stand by them. Bit by bit helping their dreams grow, just like ours. \n \n Why do we need this role? \n \n As a Staff Data Scientist you will be part of a team that is bringing AI and Data Science into the forefront of SB. We are looking to unify our technical vision and are looking for an experienced, technical but pragmatic Staff Data Scientist to enable our wider team to deliver value, quickly. \n \n In this role, you will: \n \n\n • \n Work closely with cross-functional development teams to build, test and maximise the value of a suite of models ranging use cases from LLM’s to propensity, classification and regression models \n • \n Contribute to End to end development and deployment of ML and AI models \n • \n Prove and deliver real value \n • \n Have the opportunity to work with stakeholders in a high-pace, agile environment which encourages autonomy and growth. \n • \n Try and incredibly broad range of DS/AI techniques in a commercial environment \n\n \n Responsibilities include: \n \n\n • \n Researching, advising, building, deploying and testing models from day one \n • \n Work as a bridge between the data science and MLOps departments to continue bring understanding and best practice deployment techniques into the Data Science team \n • \n Hands on big project ownership \n • \n Everyday modelling and Data Science projects with a large, event based data set \n • \n Opportunity to help to codevelop our AI strategy and continued leverage of GenAI for real value \n\n \n \n What are we looking for: \n \n\n • \n 5+ years of experience as a Data Scientist/ML Engineer, working on classic ML and Data Science problems as well as Generative AI \n • \n Created multiple Data Science Products \n • \n Proven aptitude for working with experimenting tools - MLflow/DBX (A/B tests) \n • \n Proven deployment experience - MUST BE REALTIME \n • \n Extensive experience of Databricks/AWS/GCP for deployment \n • \n Strong Python experience \n\n \n \n The Benefits \n \n There’s all the serious (but important) stuff we call ‘core benefits” and a salary that reflects your experience, our pay policy and the market we’re in from your first day is a global approach. However, some of our “core benefits” differ from the UK to the US to keep us competitive. \n \n These range from life cover, a cash plan and a stakeholder pension in the UK to medical, dental, vision, and prescription drug coverage, short and long term disability, life insurance coverage and participation in 401(k) plan with a 3% employer match in the US. \n \n The Fun stuff! \n \n We are really proud of our culture at SB and that reflects in how our benefits roll. Flexible benefits and working, plenty of training to help you develop your career and loads of clubs to get involved in from trivia nights, guest speakers, and charity drives keep us all well connected. And, the great thing is being remote hasn’t stopped us one bit.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We're looking for a Lead Analytics Engineer to join our Analytics Experience team in London. \n Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world's first platform to offer true multi-currency banking. Your mission is to help us build better products, faster by making it easy for Wisers to get insights from data. \n At Wise, we have over 130 Analysts and more than 2,500 weekly active users of our Business Intelligence Tools. As a Lead Analytics Engineer, you'll be crucial in ensuring it's easy to find the right data quickly. \n Here's how you'll be contributing to the Analytics Engineering team: \n\n • \n Lead and Mentor: You will work closely with Analysts within one of Wise's squads, spending significant time mentoring them directly to establish best practices around infrastructure, monitoring, testing, and data modelling. \n • \n Strategic Roadmap: You will take ownership of defining and driving the data infrastructure roadmap for your assigned tribe, ensuring strategic alignment and efficient execution. \n • \n Core Data Sets: You will play a key role in building and maintaining core datasets, ensuring data quality and accessibility. \n • \n Tooling Evangelist: Become the go-to expert for new tooling like dbt & AI applications, leading its adoption and successful rollout across the organization. \n • \n Best Practices Driver: Strategically assess and implement data modelling best practices within your squad, elevating our data capabilities. \n\n Qualifications \n What do I need to bring to the role? \n\n • \n Technical Expertise: Advanced proficiency in SQL and Python is a must. \n • \n Data Pipelining & Modelling: Proven experience in building robust analytics pipelines and designing effective data models. \n • \n Orchestration Mastery: Hands-on experience using an orchestration tool like Airflow. \n • \n Project Leadership: Strong capabilities in project management and communication, with a track record of driving initiatives. \n • \n Impactful Storytelling: Excellent storytelling ability with data, translating complex insights into clear, actionable narratives. \n • \n Python Development: Demonstrated ability to build practical solutions using Python. \n • \n Stakeholder Empathy: You're able to build strong empathy for your stakeholders and internal customers, proactively identifying and solving their problems. \n • \n BI Tooling: A driver of best practices regarding Business Intelligence Tools like Looker or Superset. \n\n This is a Lead Analytics Engineer role. For more information on our Analytics Career Map and levelling structure, click here \n Additional Information \n Our Offer \n\n • \n Base salary: £85-125k gross / year base (based on experience & interview outcomes) \n • \n Restricted Stock Units (RSUs) \n • \n Numerous amount of best in class benefits \n • \n Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible \n • \n Paid annual holiday, sick days, parental leave and other leave opportunities \n • \n 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave \n\n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n Senior Vice President, Full-Stack Engineer Opportunities. \n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. \n We welcome you to apply! When applying to this general posting, our expert BNY Talent Acquisition Team may also review your resume for consideration across other open roles within the company. \n We’re seeking a future team member for the role of Senior Vice President, Full-Stack Engineer to join our team. This role is located in London. \n Role Overview: BNY is seeking a Senior Vice President, Software Engineering to lead high-impact teams. This role encompasses end-to-end delivery ownership, elevating engineering standards, nurturing talent, and collaborating closely with product and business stakeholders. The aim is to create secure, resilient, and scalable systems. This opportunity is ideal for a hands-on leader who excels in agile environments and transforms complex business challenges into elegant, dependable solutions. \n In this role, you’ll make an impact in the following ways: \n\n • Lead and develop inclusive, high performing engineering teams; set clear objectives, coach talent, and build succession plans while representing engineering in program reviews and governance forums.\n, • Own end to end delivery of mission critical software—from requirements and architecture to implementation, testing, deployment, observability, and reliability—while ensuring compliance and operational excellence.\n, • Raise engineering excellence and resilience: enforce best practices and automation across code, testing, microservices/APIs, performance, and infrastructure; champion secure by design (secure coding, logging/monitoring, incident playbooks, disaster recovery).\n, • Partner with product, design, and ops to turn outcomes into measurable technical plans, steer architecture modernization, integrations —aligned to BNY’s principles and pillars. \n \n\n To be successful in this role, we’re seeking the following: \n\n • Proven leadership of software engineering teams building distributed systems and microservices in agile environments such as Scrum or Kanban.\n, • Hands-on AI development using modern tools and IDEs (e.g., Windsurf) and familiarity with integrating AI into products.\n, • Strong expertise in Java (preferably Spring) and architectural patterns for scalable, observable, and testable systems.\n, • Proficiency in modern engineering practices including CI/CD (e.g., GitLab), automated testing (JUnit/Spock), code reviews, quality focused test-driven development, and DevOps culture.\n, • Hands-on experience with containers (Docker) and private cloud infrastructure, alongside familiarity with service telemetry tools (e.g., Splunk, AppDynamics).\n, • Track record of talent development including hiring, coaching, performance management, and building collaborative, learning-focused teams.\n, • Dedication to understanding the business domain and translating product strategy into architecture and delivery plans.\n, • Corporate Actions domain experience strongly preferred.\n, • Experience with JavaScript/TypeScript and Angular for full-stack development contexts preferred.\n, • Expertise in Spring Framework, software architecture, and API/platform design preferred.\n, • Background in financial services, risk and controls, and regulated environments preferred.\n\n At BNY, our culture speaks for itself, check out the latest BNY news at: \n BNY Newsroom \n BNY LinkedIn \n Here’s a few of our recent awards: \n\n • America’s Most Innovative Companies, Fortune, 2025\n, • World’s Most Admired Companies, Fortune 2025\n, • “Most Just Companies”, Just Capital and CNBC, 2025\n\n Our Benefits and Rewards: \n BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. \n BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. \n This is a talent pipeline posting and does not represent any one particular job opening. By applying to this pipeline requisition, your interest will be reviewed for multiple potential openings based upon your background and disclosed work preference.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About the role \n We’re looking for a seasoned, senior Data Engineer with a strong software engineering background to join our Scalable Growth team within the Global Product Tribe. \n In this role, you’ll report directly to the Scalable Growth Engineering Lead while embedding day-to-day with the Marketing Platform team. You will serve as the technical authority on data architecture, bridging the gap between platform engineering and analytics engineering. You’ll bring maturity, resilience, and scalability to our data infrastructure—building and shaping systems that handle high-volume streaming and batch data to fuel our global marketing engine. \n If you thrive in an environment where you can scope complex problem spaces, mentor engineers in data best practices, and directly impact how Wise attracts millions of customers globally, this is the role for you. \n How we work \n Scalable Growth is dedicated to building enabling technology that helps Wise acquire customers at the lowest possible cost. \n Within this space, the Marketing Platform team owns the data pipelines, internal tools, and integrations with third-party vendors (e.g., Meta, Google) that power our acquisition channels. As our dedicated data lead, you’ll work cross-functionally with engineers, product managers, digital analytics leads, and marketing stakeholders (Paid, Organic, CRM) to transform our marketing data infrastructure into a true platform product. \n What will you be working on? \n\n • \n Drive Data Architecture & Resilience: Audit, map out, and elevate our current data pipelines and streaming architectures. Establish best practices for monitoring, reliability, and scale across our data ecosystem (using Python, dbt, Airflow, Kafka, and Trino/Iceberg). \n • \n Build the Unified Customer View: Productionize PoCs into scalable Airflow/dbt data workflows to lay the groundwork for our Customer Data Platform (CDP) datasets. \n • \n Bridge Engineering & Analytics: Partner with analytics leads to define clear boundaries and standards for data ingestion, cleansing, and transformation—bringing a strong analytics engineering mindset (specifically via dbt) to raw data landing. \n • \n Own MarTech Infrastructure: Work alongside Engineering Leads to bring technology ownership of MarTech systems (e.g., Braze, HighTouch reverse ETL) in-house, building end-to-end solutions rather than isolated data plumbing. \n • \n Technical Scoping & Discovery: Take ownership of broad, ambiguous problem spaces. Uncover hidden challenges, propose robust architectural designs, and execute your own roadmap. \n • \n Coach & Mentor: Elevate the data capabilities of software engineers in the squad through code reviews, architectural guidance, and hands-on mentoring. \n\n Qualifications \n Qualifications \n What do you need? \n We are fully aware that it is uncommon for a candidate to have all skills required, and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more, we do want to hear from you! \n\n • \n Python & Big Data Expertise: Advanced proficiency in Python and proven experience architecting, deploying, and maintaining Big Data and streaming/batch pipelines (e.g., Kafka Streams, Event Streaming, Trino, Iceberg). \n • \n dbt & Airflow Proficiency: Hands-on experience using dbt for scalable data transformations and Airflow for workflow orchestration. \n • \n Data Architecture Mastery: A strong background in designing scalable, fault-tolerant data architectures, implementing data quality frameworks, and establishing production best practices. \n • \n Product & Discovery Mindset: Ability to take a vague problem statement, independently uncover the requirements, scope project milestones, and drive solutions end-to-end. \n • \n Cross-functional Stakeholder Management: Excellent communication skills with the ability to bridge tech, marketing, and analytics, turning marketing needs into crisp engineering roadmaps. \n\n Nice to Have: \n\n • \n Experience with MarTech tooling or reverse ETL setups (e.g., HighTouch, Braze, vendor API integrations). \n • \n Familiarity with modern AI/ML data integration practices. \n • \n Background in fintech or fast-scaling tech platform environments. \n\n Additional Information \n Additional Information \n Interested? Find out more: \n\n • \n Wise Tech Stack \n • \n Wise Engineering Blog \n • \n Engineering career map \n\n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role. \n Our Solutions & AI Lab practice are looking for an experienced Platform Engineering Manager to join the team. \n Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn them into actionable insights and better leverage them through the use of Machine Learning solutions directly embedded into businesses processes. We support clients across a number of industries and offer deep expertise in AI, ML, Cloud and Managed Solutions. \n What you will be doing \n\n • Focus on the hardening of environments and ensuring policies are planned and enforced\n, • Implement and advocate for security best practices in all aspects of the development and deployment lifecycle\n, • Ensure compliance with industry standards and manage risks associated with cloud deployments\n, • Prioritize modularity and the toolchain produced by the platform engineering team to support accelerators and automation\n, • Design, architect, develop, deploy, and evolve CI/CD systems to help our clients transition to cloud-based data analytics platforms (AWS, Azure, GCP) and leverage modern architecture patterns (e.g., APIs, events)\n, • Write and maintain Infrastructure as Code (IaC) and automate application deployment using industry-standard tools and services\n, • Scale the services and toolchain produced by the platform engineering team to support accelerators and automation of configuration improvements\n, • Build reusable, extensible, secure artifacts and drive Cloud and DevOps industry best practices on engineering teams\n, • Design and implement solutions that ensure high availability and disaster recovery\n, • Define and implement monitoring best practices and deploy health check agents\n, • Ensure logging best practices are defined and implemented\n, • Develop and process an alerting strategy to define severity and direct alerts appropriately\n, • Translate business requirements (both functional and non-functional) into a simplified solution, ensuring compliance with the organisations strategy, policies and standards\n, • Create high-level designs and architectures which deliver on the needs of the project\n, • Financial operations and cost optimisations of infrastructure and proposed architecture \n\n Your skills and experience \n\n • Experience in designing, architecting, and deploying CI/CD systems for modern data analytics platforms and modern web applications in the cloud\n, • Skilled in writing Infrastructure as Code (IaC) and automating application deployment using industry standard tools and services\n, • Hands on experience on designing, architecting and implementing security, High Availability, Disaster Recovery and monitoring aspects of cloud solutions.\n, • Competent in at least one popular programming language, such as Python or JavaScript\n, • 5+ years of experience in hands on delivery of devops, platform engineering, solution design, cloud architecture & development\n, • Understanding of how to architect modern solutions in the cloud that are robust and scalable, striving for simplicity and low maintenance\n, • Desire to support and help build internal development platforms and design systems to use as accelerators, using the developer teams as key stakeholders to drive and influence demand and prioritisation\n, • Ability to justify and define best practices and standards, influencing the software development lifecycle policy\n, • Experience of building robust modular CI/CD templates, that centralise and govern responsibility while always challenging raising the bar in quality for the development team\n, • Comfortable to be challenged by other architect/security teams and explain the merits of your proposal \n, • We expect applying candidates to hold or willing to obtain one of the below certifications or better: \n ▪ AWS Associate (Developer, Architect, SysOps) \n ▪ Azure Associate (Developer, Administration) \n ▪ GCP Associate (Cloud Engineer) \n ▪ Hashicorp: Terraform Associate\n

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to shape the future of electronic trading technology, where your expertise in C++ and hardware acceleration will make a global impact. You'll collaborate with talented engineers to deliver market-leading solutions that power high-speed trading across global markets. We value creativity, technical excellence, and a passion for continuous improvement. At JPMorganChase, you'll find opportunities for career growth, skill development, and meaningful contributions. Be part of a team that thrives on solving complex challenges and advancing industry standards. \n As an Ultra Low Latency C++ Lead Software Engineer at JPMorgan Chase in the Electronic Trading Technology team, you will design, build, and operate market gateway solutions with hardware FPGA acceleration. You will drive the software development lifecycle, focusing on stability, latency optimization, and continuous improvement. You'll partner with hardware engineering teams to integrate FPGA pipelines with our C++ software stack, ensuring high reliability and operational excellence. Your work will directly impact trading connectivity and risk management applications used by clients and internal businesses. You'll help foster a collaborative, innovative team culture. \n Job Responsibilities: \n\n • Execute creative software solutions across design, development, and troubleshooting.\n, • Design, develop, and test reliable, high-quality C++ code for trading connectivity and risk controls on Unix/Linux platforms.\n, • Implement end-to-end low latency client setups, including production rollout and post-release validation.\n, • Automate remediation for recurring issues to improve operational stability.\n, • Establish and execute test strategies for latency, throughput, and resiliency.\n, • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.\n, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.\n, • Lead the development of market access trading and risk management modules.\n, • Participate across the software development lifecycle of electronic trading services.\n, • Collaborate with Application Development, Business Analysts, and Operations teams.\n, • \n Integrate FPGA pipelines with C++ software for deterministic performance. \n\n Required Qualifications, Capabilities, and Skills: \n\n • Proficiency in modern C++ on Unix/Linux with strong multithreading and object-oriented design fundamentals.\n, • Hands-on experience in system design, application development, testing, and operational stability in production environments.\n, • Scripting skills (Python, Perl, Shell) for automating development, testing, and operational tasks.\n, • Advanced understanding of Agile methodologies, including CI/CD, resiliency, and security.\n, • Ability to review and debug code written by others.\n, • Knowledge of low-level TCP/IP and network stack behavior.\n, • Comfort working closely with infrastructure and networking teams.\n, • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.\n, • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices\n, • Bachelor's degree in Computer Science, Engineering, Mathematics, or related discipline.\n, • \n Excellent understanding of software-hardware interaction. \n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Demonstrated experience in low latency design and development using C/C++, including DMA, exchange connectivity, and pre-trade risk systems.\n, • Exposure to FPGA development for financial industry applications, including embedded software and kernel driver development for FPGAs and related systems.\n, • Proficiency with PCI Express, TCP/IP sockets, L1/L3 switches, and integrating C++, Verilog, and VHDL solutions in Linux environments.\n, • Experience implementing and certifying exchange connectivity using FIX, SBE, and native binary protocols, with a focus on low latency order entry, as well as creating and automating test strategies for functional and non-functional requirements in production-like environments.\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a Forward Deployed Engineer (FDE) in the Google Cloud Consulting organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. \n Minimum qualifications: \n\n • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n, • 5 years of experience with software development using Python or similar coding languages.\n, • Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).\n, • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.\n, • Experience leading technical discovery sessions with customers.\n, • Experience architecting AI systems on cloud platforms (e.g., GCP).\n\n Preferred qualifications: \n\n • Master’s degree or PhD in AI, Computer Science, or a related technical field.\n, • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).\n, • Experience in a post-sales or technical consulting delivery function.\n, • Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\n, • Ability to communicate in French, German or other European language (e.g., Spanish and Italian) fluently to support client relationship management in this region.\n, • Ability to travel regionally to engage with local stakeholders and customers.\n\n Responsibilities: \n\n • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).\n, • Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.\n, • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.\n, • Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.\n, • Co-build with pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.\n

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About the role: \n\n • Wise is one of the fastest-growing global financial platforms, and as we scale, so does the sophistication of the ML systems protecting every transaction. Our Risk ML team is building the model lifecycle platform that makes it possible to develop, deploy, and monitor ML models for financial crime detection - reliably, reproducibly, and at scale.\n, • We're looking for a Senior ML Platform Engineer to build this platform from the ground up. You'll design the infrastructure that turns model development from a bespoke, manual process into a scalable, standardised one - so our data and applied scientists can focus on improving detection rather than managing operations.\n\n This is a greenfield build with strong investment and direct engagement from Wise's senior leadership. \n How we work: \n\n • Risk ML sits within Wise’s FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop, and Risk Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible.\n, • You’ll work closely with data scientists, feature platform engineers (upstream infrastructure), and Wise's central ML platform team (shared foundations). We value engineers who build for adoption - internal platforms succeed when teams want to use them.\n\n What will you be working on? \n\n • Designing and building the declarative training pipeline - standardised, config-driven model training that any data scientist can use without writing deployment code\n, • Building model packaging and serving abstraction - a unified interface that handles multiple model types (classical ML, deep learning, emerging architectures) through a consistent API\n, • Implementing the model evaluation framework - standardised metrics, reproducible comparison, and automated validation gates\n, • Building model monitoring - drift detection, performance degradation alerts, automated retraining triggers, and full audit trails for regulatory compliance\n, • Owning the integration layer with Wise's central ML infrastructure - aligning on boundaries so FinCrime-specific lifecycle tooling builds cleanly on shared foundations\n, • Maximising data science productivity - your platform's success is measured by how much time shifts from operational maintenance to improving detection performance\n\n What do you need? \n\n • Experience building ML platform infrastructure in production - training pipelines, model serving, evaluation frameworks, or monitoring systems. Infrastructure that other teams depend on, not individual model work.\n, • Strong software engineering fundamentals - you build reliable, well-tested, maintainable systems. Python, Kotlin/Java, SQL.\n, • Experience with ML orchestration (Airflow, Kubeflow, or equivalent), model registries (MLflow or similar), and container-based deployment\n, • End-to-end understanding of the ML lifecycle - data ingestion through training, packaging, serving, and monitoring - and knowledge of where things break\n, • A product mindset for internal tooling - you think about data scientists as users and build for adoption, not just functionality\n\n Nice to Have: \n\n • Model serving at scale - latency optimisation, ONNX packaging, canary deployments for models\n, • Experience in FinCrime, fraud, AML, or regulated environments where audit trails and model governance are non-negotiable\n, • Experience with model monitoring and drift detection systems in production\n, • Track record of migrating teams from manual ML workflows to platform-based approaches\n\n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £111,000 - £145,000 + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. \n Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. \n Minimum qualifications: \n\n • Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.\n, • 10 years of experience in a customer-facing technical role (e.g., Customer Engineer, Solutions Architect, or Developer Advocate) within the cloud computing industry.\n, • Experience in at least one of the following: Cloud Platforms (e.g., GCP), AI for retail industry usecases, Gemini or related AI Technologies.\n\n Preferred qualifications: \n\n • 3 years of experience in a Technical Sales Engineering Role.\n, • 2 years of experience in the Retail Industry.\n, • Proven ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions.\n\n Responsibilities: \n\n • Manage the technical relationship with customers, including managing product and solution briefings, proof-of-concept work, and the coordination of additional technical resources.\n, • Work with the team to identify and qualify business opportunities, identify key customer technical objections, and develop a strategy to resolve technical blockers.\n, • Test and inspire customers and peers to solve difficult issues with ambitious and novel solutions leveraging a sophisticated set of technical competences.\n, • Recommend migration strategies, enterprise architectures, migration tools, and cloud infrastructure required to successfully implement a complete solution using best practices on Google Cloud.\n

hackajob is collaborating with Version 1 to connect them with exceptional professionals for this role. \n Company Description \n Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. \n We’re an award-winning employer reflecting how our employees are at the very heart of what we do: \n\n • UK & Ireland's premier AWS, Microsoft & Oracle partner \n, • 3300+ strong, €350/£300m revenue business \n, • 10+ years as a Great Place to Work in Ireland & UK \n, • Best Workplace for Women in the UK & Ireland by GPTW \n, • Best Workplace for Wellbeing in the UK by GPTW \n\n We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!. \n Job Description \n We are seeking an experienced Senior Java Engineer to join our UK Digital Data & Cloud Practice. Our Digital Practice is expanding rapidly and you will have the opportunity to achieve medium and long-term career goals. You will be working for one of our high-profile trading clients within the financial services domain, contributing hands-on to a Java-based development team supporting a high-volume message processing environment. \n The team is heavily Java-focused, operating within a client ecosystem that relies extensively on Kafka, Kubernetes/OpenShift, caching solutions, REST APIs, and high-throughput distributed systems. You will bring deep, practical experience in scaling systems that process millions of messages per day and strong problem-solving capability across complex backend challenges. \n Responsibilities \n Technical Delivery \n\n • Design, develop, and maintain high-quality backend components in Java, with a focus on performance and resilience.\n, • Contribute hands-on to complex features across messaging, caching, and distributed processing layers.\n, • Troubleshoot and resolve issues related to sequencing, recovery, message failures, and large-volume processing.\n, • Support releases, deployments, and production stability activities.\n, • Adhere to CI/CD pipelines, code quality standards, and operational readiness requirements.\n, • Apply performance, security, and resilience best practices, particularly around large-scale message handling.\n\n Collaboration \n\n • Work closely with the Technical Lead and peers to deliver against team objectives.\n, • Contribute to technical discussions, design reviews, and knowledge sharing within the team.\n, • Raise risks, blockers, and progress updates clearly within the team.\n\n Qualifications \n\n • Experience working on trading or financial platforms that process millions of messages per day, with strong awareness of non-functional requirements such as latency, resiliency, throughput optimisation, failover handling, and backpressure management.\n, • Experience designing and developing cloud-native applications with a microservices architecture running on Docker/OpenShift/Kubernetes.\n, • Strong application development skills in Java, SQL (SQL Server, Oracle, etc.) and messaging platforms such as Kafka and MQ.\n, • Experience with the Spring framework and Spring Boot technologies.\n, • Experience in Java REST API development and application security best practices (OAuth, JWT, etc.).\n, • Experience with build and source control tools: Gradle, Maven, Git/Bitbucket.\n, • Experience with caching services such as Redis.\n, • Awareness of AI coding assistants such as GitHub Copilot, Cursor, or Claude to accelerate development, generate boilerplate, and review code.\n, • Ability to apply AI tooling critically - validating, refactoring, and integrating AI-generated code rather than accepting output uncritically.\n, • Awareness of prompt engineering techniques relevant to software development workflows (code generation, test writing, documentation, debugging).\n, • Experience working in an Agile/Scrum environment.\n\n Additional Information \n Why Version 1? \n At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. \n\n • Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits \n, • Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme \n, • Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance \n, • Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme \n, • Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies \n, • Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat \n, • Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. \n, • Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. \n\n And many more exciting benefits… drop us a note to find out more. \n Version 1 is an equal opportunities employer. \n \n We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring. \n \n We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [recruiter email address] at Version 1. We will consider all requests carefully, respectfully and confidentially. \n Video links: \n https://www.youtube.com/watch?v=F_d3ELTH5zo

hackajob is collaborating with Atos to connect them with exceptional professionals for this role. \n About Atos Group \n Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. €8 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris. \n The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. \n About Our Gen AI Team \n Our Gen AI team brings together experienced engineers, diverse perspectives, and a flat team structure that enables visibility and impact from day one. With 40–50 professionals across the practice, we deliver some of the most exciting projects in the market — from nextgeneration fintech payment platforms to global insurance systems deployed across multiple countries. \n AI is an important part of our work, but this role is grounded in strong software engineering fundamentals. We are looking for senior engineers who enjoy architecture, system design, and endtoend delivery, with a genuine interest in modern technologies, including AI. \n The role requires Security Clearance or ability to get SC in short timescales. \n About the Role \n We are seeking a Senior Full Stack Engineer who is passionate about building high‑quality software and designing robust systems. You will work on complex, large‑scale solutions across multiple technology stacks, collaborating closely with clients and internal stakeholders. While you will help guide other engineers, this role is engineering‑led rather than people‑management‑focused. \n Where Purpose Meets Career \n Technology \n This is a true full stack role, offering exposure to a broad range of technologies and architectures. You will continuously upskill while working alongside highly talented engineers, selecting the most appropriate tools and languages for each challenge. \n Contribute to diverse and meaningful projects \n From automating government client systems and delivering large‑scale platform migrations, to applying AI to enhance our products — including next‑generation fintech payment platforms and global insurance systems deployed across multiple countries. \n Culture \n Our culture is built by people who genuinely love technology. We value curiosity, collaboration, and continuous learning, and we actively support innovation and knowledge sharing. \n Your Future Role \n As a Senior Full Stack Engineer, you will: \n\n • Design, build, and deploy scalable, high‑quality systems\n, • Translate business and client requirements into technical solutions\n, • Work directly with clients, moving quickly from concept to production\n, • Lead by example through hands‑on development\n, • Contribute to architectural decisions across multiple teams\n, • Support and mentor engineers while remaining deeply involved in delivery\n\n What You Bring \n\n • A proven track record in full stack development\n, • Experience designing systems and solutions independently\n, • Experience providing technical leadership while staying actively involved in hands‑on development is highly valued.\n\n Experience Required \n\n • Solid understanding of maintainable code, systems design and software architecture\n, • Experience working across multiple technology stacks\n, • Strong experience with library‑appropriate, strongly typed languages such as C++, Java, C#, Go or Rust, along with relevant front‑end frameworks\n, • High adaptability and the ability to learn new technologies quickly\n, • Interest in modern technologies such as new languages, AI, cloud platforms\n, • Strong communication skills and confidence working with clients and distributed teams\n\n \n Your Benefits, Your Way \n\n • \n 25 days annual leave, with the option to purchase additional days \n\n\n • \n Private Healthcare \n\n\n • \n Life Assurance \n\n\n • \n Income Protection \n\n\n • \n Pension contribution matched up to 10% \n\n\n • \n Flexible benefits, allowing you to tailor your package around wellbeing, family support, and more \n\n Selection Process \n\n • \n Recruiter introduction \n\n\n • \n Online test (approximately 35 minutes, completed in your own time) \n\n\n • \n Technical interview with the Head of Gen AI Practice \n\n\n • \n Live coding session with a future colleague \n\n (All interviews are conducted via MS Teams.) \n Recruiter Contact: \n\n • \n Please write directly to Mihaela Perelighin |mihaela-begiu.perelighin@atos.net \n\n Diversity, Equity & Inclusion \n Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. As a Disability Confident employer, we encourage applications from all applicants, especially, differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to making reasonable adjustments to the application and assessment process to accommodate your needs. \n We are also a care leaver-friendly employer. If you require additional support with your application, please contact our recruiter or send an email to our dedicated mailbox - UK-Recruitment-Support@atos.net \n Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. \n Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. \n Choose your future. Choose Atos.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to directly influence the future of technology at JPMorganChase. As a Senior Security Architect - SecOps and Vulnerability Management, you'll collaborate with top cybersecurity and engineering talent, solving complex challenges and enabling safe, secure innovation. Your passion for security and drive to make a real impact are valued here. Grow your skills in a dynamic environment designed for achievers. Help us build products that prioritize security from the start. \n Job Summary: \n As a Senior Security Architect - SecOps and Vulnerability Management in the Cybersecurity & Technology Controls team for International Consumer, you will proactively partner with technology and business colleagues to identify and address security issues. You will embed security culture, lead threat modeling, and drive architecture reviews to ensure our products are secure by design. Your role will be pivotal in managing emerging risks, influencing product strategy, and serving as the subject matter expert for the SecOps and Vulnerability Management strategy as well as embedding detection and response capabilities on a modern technology stack. You will collaborate globally, supporting audit, regulatory, and risk initiatives, with a focus on cloud computing and emerging technologies. \n Job Responsibilities: \n\n • Design, scale, and manage the enterprise SIEM architecture to provide centralized visibility and high-fidelity threat detection across all corporate and cloud infrastructure.\n, • Develop and influence advanced SIEM correlation rules, custom data parsers, and detection logic to significantly minimize alert fatigue for the SOC team.\n, • Architect the end-to-end SBOM lifecycle to continuously track, analyze, and mitigate open-source and third-party software supply chain risks.\n, • Design a risk-based vulnerability management platform that automatically prioritizes infrastructure and application flaws utilizing real-world exploit intelligence and asset criticality.\n, • Build and optimize SOAR playbooks to automate incident response workflows, accelerate threat containment, and streamline vulnerability ticketing.\n, • Provide senior technical escalation support during critical security incidents and drive post-incident root-cause analysis to continuously improve defensive controls.\n, • Cultivate a security-first culture across product, technology, and business teams by providing developer-friendly tooling, training, and reusable secure patterns that accelerate rather than hinder delivery.\n, • Act with urgency to manage emerging security issues, monitor risk indicators, and recommend resolutions. Serve as the escalation point for IT Risk and Cyber domains related to Cybersecurity Operations and Vulnerability Management.\n, • Partner with engineering leads, product owners, and vendors to ensure effective technology risk management, translating regulatory and policy requirements into actionable, engineer-friendly controls.\n, • Support audit, regulatory, and risk activities by providing evidence of control effectiveness and translating compliance requirements into automated, repeatable processes.\n, • Identify and address unfamiliar technology components, share best practices, and influence peers to drive continuous improvement in SecOps and Vulnerability Management maturity across the organization.\n, • Uses enterprise-authorized AI capabilities within the work environment to accelerate cybersecurity risk analysis and control assessment, validating outputs and handling data according to sensitivity and security requirements.\n, • Drives reuse-first adoption of AI-assisted security validation within SDLC/toolchain routines, improving control testing, remediation quality, and traceability/auditability in line with resiliency expectations.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Hands-on experience advising and influencing enterprise SIEM platforms (e.g., Microsoft Sentinel, Splunk, Chronicle/SecOps). Must be proficient in writing/reviewing advanced detection logic (KQL, SPL, or YARA rules).\n, • Deep execution knowledge of generating, managing, and analyzing Software Bills of Materials (SBOMs using frameworks like CycloneDX or SPDX) and integrating them with tools like Dependency-Track or Snyk to track open-source vulnerabilities.\n, • Advanced threat modeling experience (e.g., STRIDE-LM) for SIEM data flows, log ingestion pipelines, and vulnerability management platforms\n, • Experience architecting vulnerability programs using tools like Tenable, Qualys, or Wiz, specifically utilizing EPSS (Exploit Prediction Scoring System) alongside CVSS to determine patching prioritisation.\n, • Ability to design and influence automated response playbooks using SOAR platforms\n, • Practical experience creating reference architectures and patterns for engineering teams.\n, • Proven ability to design and deploy automated preventive and detective guardrails at scale.\n, • Ability to solve design and functionality problems independently.\n, • Strong written and verbal communication skills.\n, • Demonstrated success in influencing peers and stakeholders.\n, • Ability to evaluate and recommend emerging technologies for future state architecture.\n, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support cybersecurity architecture workflows with strong validation habits and awareness of data sensitivity.\n, • Ability to assess and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience deploying AI-native capabilities within Google SecOps, leveraging Gemini-powered intelligence and ML-based anomaly detection to enhance UEBA and accelerate SOC triage at scale.\n, • Experience partnering with Red/Purple Teams to simulate attacks and actively validate that SIEM rules fire as intended.\n, • The ability to identify thematic vulnerability trends and common denominators to drive highest-impact, lowest-effort Vulnerability remediation.\n, • Experience operating in regulated organizations with a 3LoD model.\n, • Willingness to challenge existing processes respectfully.\n, • Experience translating policy and regulatory requirements into control design for engineers and architects.\n, • Proven ability to upskill and learn modern technologies.\n, • Experience in financial services consumer businesses or Fintech organizations.\n\n #ICBCareers \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n As we continue to build upon the diversity of our team we are thrilled to have the opportunity to bring on board a Senior Kotlin engineer to a newly forming pod. This is an opportunity to bring new experience, perspective and capabilities to our design discussions, helping shape our approach to delivering elegant solutions to complex engineering challenges as we continue to grow. This is the team that put the Tech in FinTech, our current tech team is around 80 strong and have helped transform finance by building a next-generation lending platform, a next-gen credit card, and auto-finance product, and they’re at it again with brand new product launches this year. \n We're looking for an engineer with a depth of knowledge and recent hands-on Kotlin experience that enables them to not only deliver elegant, idiomatic solutions in Kotlin but also to contribute new knowledge and experience to our frequent collaborative design forums with stakeholders from every area of the business. \n There’s a lot to do, from building and integrating new API’s to help build out our new collections function to creating new internal tools and supporting our expansion of new products and supporting services in the US. \n We believe that software engineering is more than just code - it’s about people. We believe that the best teams are made of great people. That fundamentally great software engineering is about alignment, sharing what we know and being nice to each other. When we put all this together we make software engineering better by continually improving our capabilities as a team and making our working environment a happy and productive place. \n There is more to read about us and our Lendies in the engineering blog right here and if you’d like to check our reviews out on Glassdoor you can see these here. \n Our Tech Stack \n Backend \n\n • \n Kotlin 1.7.20 \n • \n AWS \n • \n GraphQL (it would be nice if you were familiar with this but it’s not a deal breaker) \n • \n Postgres \n • \n RabbitMQ \n • \n Docker \n • \n Kubernetes \n\n Frontend \n\n • \n React & React Native, TypeScript, MobX, Redux, Stylus and SASS \n\n Other \n\n • \n We build our Kotlin projects using Gradle and GitHub Actions, deploying to production as soon as we finish a feature \n • \n We use JUnit Jupiter, Kotest and TestContainers for automated testing \n\n What technical skills you’ll need to have \n\n • \n Strong commercial Kotlin experience \n • \n An ability to write simple, clean code \n • \n Experience and understanding of databases; relational databases are a must, NoSql would be nice too \n • \n Be able to quickly understand complex, financial business domains \n • \n Understand different software architectures rapidly \n • \n Understands abstraction and interpolation \n • \n Able to write comprehensive, automated tests at all levels of the pyramid \n • \n Understanding of the Kanban agile methodology; not a deal breaker if you don’t \n\n What kind of person you’ll need to be \n\n • \n Someone who can get along with others and build relationships \n • \n Someone who wants to continually learn, improve and collaborate \n • \n Someone who can solve problems on their own but also knows when to go to their peers for help \n • \n Someone who is a rational thinker and is aware of the ‘why’ behind the way they do things \n • \n Someone who is a pragmatist who can sensibly weigh the tradeoffs between code quality and delivery \n\n Interview process \n\n • \n A 30 minute introductory call with one of our engineers \n • \n A short coding exercise to complete in your own time \n • \n Onsite or Video Interview lasting 60-90 minutes, comprising of: \n \n • \n Introduction of the team and kind of work you could be doing daily \n • \n Discussion around the coding exercise you completed \n • \n Interactive architecture/design exercise \n • \n Tech project walkthrough \n • \n Cultural/behavioural questions to see if you’d be a good fit for Lendable \n • \n Questions you may have about the company, role, etc \n \n\n Check out our blog \n We also have an engineering blog where we have written in more detail how we work in the engineering team. \n Life at Lendable \n\n • \n The opportunity to scale up one of the world’s most successful fintech companies \n • \n Best-in-class compensation including equity \n • \n You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas \n • \n Our in-house chef prepares fresh, healthy lunch in the office every Tuesday-Thursday \n • \n Encouraged and sponsored personal and team growth through our training budget, 10% time for all engineers and active guilds \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That’s right, we’re big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that’s where you come in. \n At Kingfisher, our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation. \n We are open to flexible and agile working hours and locations. Therefore, we offer colleagues a blend of working from home and our offices. Talk to us about how we can best support you! \n We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data science algorithms, while building, leading, nurturing and retaining a high performing data science team working on banner as well as group priorities. \n\n • Lead the implementation of data science projects and data science approaches to support commercial goals \n, • Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working \n, • Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processes \n\n\n, • Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results \n, • Be a champion and role model for the application of data science across the Kingfisher group \n, • Support the data leadership team in developing a “data culture” and demonstrating the value of data in our decision making \n, • Lead our efforts to develop the data science (and broader customer analytics) “brand” at Kingfisher for both internal and external audiences\n\n\n, • Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products \n, • Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP) \n, • Excellent understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) \n, • Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) \n\n\n, • Strong software development skills (Python is the preferred language) \n, • Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow \n, • Strong management and leadership skills – previous experience managing a team \n, • Strong influencing, communication and stakeholder management skills \n\n Be Customer Focused – constantly improving our customers’ experience \n We listen to our customers and colleagues \n We innovate products and experiences to stay ahead \n Be Human – leading with purpose, humanity and care \n We do the right thing \n We invest in our people and build great teams \n Be Curious – thrive on learning, thinking beyond the obvious \n We focus externally, globally and build the long term \n We experiment and share our learnings \n Be Agile – building trust and empowering people to work with agility \n We act with pace, not perfection, role modelling 80/20 \n We take risks, fail fast and adapt quickly \n Be Inclusive – inspiring diverse teams to achieve together \n We celebrate difference as a strength \n We collaborate, breaking down silos \n Be Accountable – owning the plan, delivering results and growth \n We focus on performance outcomes \n We prioritise and simplify for others \n At Kingfisher, we value the perspectives that any new team members bring, and we want to hear from you. We encourage you to apply for one of our roles even if you do not feel you meet 100% of the requirements. \n In return, we offer an inclusive environment, where what you can achieve is limited only by your imagination! We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best self. \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-TB1

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Help shape the next wave of Applied AI innovation in Markets Operations by turning ideas into production-ready solutions. You will build practical AI capabilities that improve workflows, strengthen controls, and unlock productivity for teams across the organization. Working alongside engineers, AI specialists, and operations partners, you will bridge cutting-edge techniques with enterprise-grade systems. At JPMorganChase, you can grow your career through meaningful work, strong mentorship, and hands-on ownership. Join a team that values creativity, collaboration, and continuous learning. \n As an Applied AI Engineer in the applied AI team within Markets Operations, you will design, build, test, and deploy scalable AI services integrated with strategic systems and operational processes. You will collaborate with software engineers, AI and data science specialists, operations stakeholders, and business partners to improve operational workflows, controls, and the software development lifecycle. You will focus on hands-on engineering across Python services, APIs, data pipelines, infrastructure, monitoring, and production readiness. You will build domain knowledge across Markets Operations and translate real workflow pain points into durable solutions. You will contribute to a culture of innovation, collaboration, and engineering excellence. \n Job Responsibilities \n\n • Contribute to technology and architecture patterns that enable AI solutions across Markets Operations and software engineering use cases\n, • Build and enhance robust, scalable, reusable AI services and supporting infrastructure using modern technologies\n, • Collaborate with AI and data science specialists to design, develop, test, and deploy services integrated with strategic systems and operational processes\n, • Learn Markets Operations processes and apply that knowledge to develop practical solutions and integrations with banking operations systems\n, • Evaluate new AI infrastructure technologies and share findings to inform team technical decisions\n, • Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing\n, • Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability\n, • Partner with operations stakeholders to understand workflow pain points and translate them into practical technology solutions\n\n Required Qualifications, Capabilities, and Skills \n\n • Hold a Bachelor's or Master's degree in Computer Science, Software Engineering, a related field, or equivalent practical experience\n, • Demonstrate strong Python programming skills\n, • Design, develop, and integrate RESTful APIs, such as with FastAPI\n, • Build and support ETL and data pipeline engineering workflows\n, • Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines\n, • Design and integrate databases and data models\n, • Apply monitoring practices and understand controls and compliance concepts in production environments\n, • Communicate effectively in writing and verbally, explaining technical concepts to technical and non-technical audiences\n, • Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work\n\n Preferred Qualifications, Capabilities, and Skills \n\n • Apply AI and machine learning concepts with a strong interest in applied AI productization\n, • Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets, or enterprise technology\n, • Demonstrate familiarity with Markets Operations processes such as trade lifecycle, post-trade operations, reconciliations, controls, or exception management\n, • Use AWS and tools such as MLflow\n, • Develop front-end capabilities with React or modern front-end development\n, • Apply graph database modeling concepts\n\n Why Join Us? \n Your contributions will help redefine what's possible in financial services. You'll be part of a team that values creativity, collaboration, and continuous learning, empowering you to make a real impact and grow your career. \n #CIBAppliedAI \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. \n This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape how millions of customers and colleagues experience our products, services and decision making across our retail brands. \n You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools, processes and practices that accelerate the use of artificial intelligence across the organisation. \n Key Accountabilities / Responsibilities: \n\n • Develop machine learning models and support their deployment into production\n, • Write production quality code that is robust, efficient and maintainable\n, • Contribute to the implementation and improvement of pipelines, tooling and automation\n, • Apply good engineering standards and practices in model development\n, • Monitor performance and contribute to ongoing optimisation of models\n, • Work with colleagues to understand requirements and priorities\n, • Share knowledge, contribute ideas and support a collaborative team culture\n\n\n, • Good understanding of computer science fundamentals, including data structures, algorithms and software design\n, • Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning\n, • Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter\n, • Experience working with SQL and data pipelines to prepare and transform data for model training\n, • Understanding of model evaluation, monitoring and improving performance in a production environment\n, • Familiarity with tools and practices for deploying models, ideally including Git, CI workflows and containerisation\n, • Comfortable working with statistical concepts to interpret data and assess model performance\n, • Ability to work collaboratively, communicate clearly and deliver work to agreed outcome\n\n How We Work \n We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average within our Engineering team - 40% of your time involving in-person collaboration. \n We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements. \n What We Offer \n An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits. \n Diversity & Inclusion \n Our customers come from all walks of life - and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-TB1 #LI-HYBRID

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n We’re seeking a future team member for the role of Java Full Stack Engineer with AI-driven development exposure to join our Conventional Trust Platform team. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • \n Define and execute the enterprise Java full stack technology strategy, aligned with business transformation goals. \n • \n Champion AI driven development practices (e.g., AI-assisted coding, automated testing, remediation, and code quality). \n • \n Drive modernization initiatives including cloud migration, microservices, event-driven architectures, and API-led platforms. \n • \n Establish best practices for secure, scalable, and resilient application design. \n • \n Oversee end-to-end delivery of complex platforms across backend (Java) and frontend technologies. \n • \n Ensure high-quality engineering outcomes using CI/CD, automation, and DevSecOps practices. \n • \n Lead large-scale programs focused on velocity, reliability, and cost efficiency. \n • \n Drive backlog prioritization, technical debt reduction, and vulnerability remediation \n\n To be successful in this role, we’re seeking the following: \n\n • \n Senior full stack engineer with Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred \n • \n Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. \n • \n Strong hands-on experience with AI Development tools like Claude CLI, Windsurf \n • \n Solid understanding of the ML lifecycle; exposure to model risk or governance is a plus. \n • \n Strong Java development skills, including experience with multi-threaded and mission critical applications \n • \n Strong Exposure and knowledge of front end technologies such as React and Angular \n • \n Ability to solve ambiguous problems with scalable, innovative solutions. \n • \n Clear communicator who can influence cross-functional partners. \n • \n Excellent collaboration and communication skills, able to engage effectively with engineers, architects, and executives. \n\n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About the role: We are looking for an IC3 Machine Learning Engineer to join our Risk ML and Intelligence team. In this role, you will be key to enabling the building of our machine learning models by focusing on the label side, building the integrity layer for our label platform. \n Every machine learning model at Wise learns from two core components: features (user signals) and labels (historical tags for activity like money laundering or fraud). If our labels are inaccurate, our models learn the wrong behavior. You will be responsible for label side quality, label monitoring, statistical integrity, and designing robust audit processes to ensure our ML infrastructure learns from clean, reliable data. \n How we work: At Wise, we operate with autonomous, cross-functional teams that put the customer first. We believe strong engineers can learn and adapt across tech stacks, so our interview and pair programming evaluations are language-agnostic (focused on Python or Java), allowing you to solve complex technical problems in the environment you are most comfortable with. \n What will you be working on?: \n\n • \n Building, scaling, and maintaining the integrity layer of our label platform for Risk ML models. \n • \n Defining, implementing, and monitoring statistical fundamentals and key quality metrics for data and labels. \n • \n Designing automated audit processes to evaluate and monitor label quality over time. \n • \n Working end-to-end on machine learning model training, evaluation, and pipeline deployment. \n • \n Collaborating closely with cross-functional partners across Risk Intelligence, Data Engineering, and Product. \n\n Qualifications \n What do you need?: \n\n • \n Education: A degree in STEM (Computer Science, Mathematics, Statistics, Physics, Chemistry, Electrical Engineering, or a related quantitative field). \n • \n Statistical Integrity: Strong mathematical and statistical fundamentals with a proven track record of applying statistical analysis to complex data environments. \n • \n ML Lifecycle Expertise: Hands-on experience working across model training, evaluation, and deployment (utilizing frameworks around Machine Learning, AI, Neural Networks, or NLP). \n • \n Programming Skills: Strong proficiency in Python or Java for data scripting and production engineering, alongside advanced SQL capability. \n • \n Data Fundamentals: Solid hands-on experience building static data pipelines, conducting deep-dive data analysis, and using data visualization tools to understand statistical behavior. \n\n Nice to Have: \n\n • \n Proven success in competitive machine learning environments or platforms (e.g., Kaggle, KDD competitions, or Google Summer of Code / GSoC). \n • \n Experience with specialized ML architectures such as Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), or Transformers/LSTMs. \n • \n Familiarity with real-time streaming data pipelines (e.g., Kafka). \n • \n Domain experience within Fintech, E-commerce, or fast-scaling tech companies. \n\n Additional Information \n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £111,000 - £145,000 + stock equity grants (RSUs vesting over 4 years) + benefits. \n • \n Wise Benefits \n\n Interested in more than one role? If you're interested in multiple roles, please apply for just one—the one you're most excited about. If you submit multiple applications requiring the same assessment, we'll continue your recruitment journey using your first application, and any duplicate applications will be automatically closed. This helps ensure a fair and consistent interview process. If another role feels like a better fit, you can discuss this with your recruiter during the process. \n #LI-AB3 #LI-Hybrid \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We are looking for a Product Director to own and evolve the internal platform that powers Risk, Compliance, and Financial Operations at Wise. \n As money moves instantly across borders, bad actors move just as fast. The Mitigation Platform Squad is a 30-person, cross-functional organization (spanning three distinct teams) dedicated to building the next generation of our operational infrastructure. \n Your mission is to move our operations from manual review engines to AI-augmented, predictive workflows, ensuring we scale our customer base exponentially without scaling our operational headcount at the same rate. \n What You Will Build & Own: \n You will lead the overarching product strategy for how we collect customer risk data, route tasks, and handle complex financial crime investigations. Specifically, your squad focuses on three core pillars: \n\n • The 360° Customer Data Engine: Revolutionize how we collect, ingest, and synthesize customer information. You will build frameworks that aggregate complex data points into a unified, real-time risk profile, giving analysts instant context without the hunt.\n, • Intelligent Case Handling & Workflows: Own the end-to-end case management experience. You will build flexible, customizable workflow engines that empower operational teams to design, test, and deploy new compliance rules and investigation paths accelerating our time-to-market against new threat vectors.\n, • The AI & Automation Foundation: Set the architectural and product blueprint for augmenting human intelligence. You will integrate machine learning, LLMs, and smart automation into the daily workflow of analysts—from automated data summarization and predictive task routing to AI "copilots" that draft investigation summaries and highlight anomalies.\n\n Key Responsibilities \n\n • Lead a 30-Person Multi-Team Squad: Provide strategic vision, product coaching, and execution leadership to three cross-functional teams of engineers, designers, and analysts.\n, • Pioneer AI-Augmented Operations: Identify high-friction manual processes in KYC, EDD (Enhanced Due Diligence), and fraud investigation, partnering with Data Science to deploy automated decisioning and generative AI assistance.\n, • Unify the Operational Stack: Oversee the consolidation of fragmented tooling into a seamless, cohesive platform, standardizing core risk, quality assurance (QA), and workforce management (WFM) processes globally.\n, • Drive Cross-Functional Alignment: Act as the primary bridge between global product teams, compliance officers, and operational floor managers, ensuring platform improvements directly drop our cost of servicing.\n, • Operate as a Player-Coach: Seamlessly zoom out to set a 2-year platform vision, and zoom in to unblock technical architectural decisions or analyze operational workflow bottlenecks.\n\n Qualifications \n What We’re Looking For \n\n • Platform & Scale Experience: You have built and scaled complex platforms, internal operating systems, or B2B SaaS products supporting thousands of daily active users or millions of end-consumers. You understand the intricate architecture required for high-availability, low-latency workflows.\n, • AI & Automation Intuition: You don't need to be a machine learning engineer, but you know how to productize data science. You look at a manual operational workflow and immediately see how smart heuristics, predictive models, or LLM summarization can 10x human output.\n, • Proven People Leadership: You have experience hiring, onboarding, and mentoring Product Managers (both ICs and Leads). You know how to build a high-context, autonomous culture across multiple distributed sub-teams.\n, • Relentlessly Data-Driven: You self-serve with SQL/data tools to uncover operational bottlenecks, quantify friction, and measure the ROI of automation. You tell compelling stories with data to rally engineering and compliance around a shared metric.\n, • Consumer-Grade Mindset for Internal Tools: You reject the idea that internal operational tools should be clunky or slow. You care deeply about UX, design, and developer/analyst ergonomics.\n\n Additional Information \n We’re people without borders — without judgment or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in. Where and what you studied isn't important to us. If you’ve got great experience, the right skills for the role, and you’re great at articulating your thinking, we’d like to hear from you. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Lead Software Engineer - Proxy/SSE Network Security \n As a Lead Software Engineer at JPMorganChase within the Corporate Sector - Enterprise Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. \n Job responsibilities \n\n • Executes creative Network security software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\n, • Develops secure high-quality production code, and reviews and debugs code written by others\n, • Architect and implement Zero Trust Network Access (ZTNA) patterns for user-to-app and user-to-internet access, minimizing implicit trust and reducing lateral movement.\n, • Build and operate an Identity-Aware Proxy (IAP) / policy enforcement point for web and application access, enforcing identity, device, and context-based policy decisions.\n, • Implement or integrate Secure Gateway / Secure Web Gateway (SWG) capabilities (URL filtering, TLS inspection where approved, malware protection, sandboxing, egress controls, DNS security).\n, • Experience with other SaaS based Secure Gateway vendor e.g. Zscaler, Netskope, paloalto, Broadcom ProxySG etc\n, • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.\n, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.\n, • Good understanding of network infrastructure, network security concepts and application layer protocols (http/https) and vulnerability mitigation\n, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\n, • Own the US perimeter, proxy, and SSE/SASE engineering roadmap and execution, including intake, prioritization, dependency management, delivery governance, and stakeholder alignment across cybersecurity, network services, operations, and application and platform teams.\n, • Define and operationalize standards, reference architectures, and reusable engineering patterns for perimeter and egress controls, including forward proxy and secure web gateway patterns, access brokering and identity-aware access concepts where applicable, enterprise egress enforcement, segmentation and policy patterns, and design considerations such as TLS inspection and traffic steering, expressed at a pattern and control-integration level.\n, • Provide engineering leadership across edge and connectivity adjacencies that materially impact perimeter posture and service delivery, including Cisco and Arista edge environments, colocation and interconnect ecosystems (including Equinix Fabric), and cloud adjacency patterns including AWS Direct Connect and AWS PrivateLink, with awareness of multi-cloud interconnect considerations.\n, • Establish and run governance mechanisms that accelerate remediation while preserving strong controls, including backlog governance, exception handling, risk acceptance and closure workflows, traceability and auditability requirements, and reporting that ties delivery milestones to risk reduction and resilience outcomes.\n, • Drive operational excellence at scale for perimeter, proxy, and SSE services in the US, including incident, change, and problem management rigor, observability and resiliency validation practices, automation to improve repeatability and evidence quality, reduction of client and partner impact, and execution of Technology Lifecycle Management (TLM) and modernization outcomes tied to stability and risk reduction.\n\n Required qualifications, capabilities, and skills \n\n • 5+ years in network security / SASE/ SSE/ identity security / security engineering (or equivalent depth).\n, • Strong understanding of Zero Trust principles, policy-based access, segmentation, and secure egress.\n, • Hands-on experience with proxy/gateway architectures (forward proxy, reverse proxy, IAP patterns) and secure internet access controls.\n, • Deep knowledge of SAML, OIDC, OAuth 2.0 concepts, JWT (signing, verification, JWKs, rotation, scopes/claims, replay protection).\n, • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.\n, • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices\n, • Demonstrated experience delivering regional execution ownership in the US (or North America) for infrastructure and/or security platforms, including prioritization, cross-team coordination, and sustained accountability for operational and delivery outcomes.\n, • Experience supervising engineers and delivering cross-team remediation, modernization, and platform programs with clear scope, dependency management, delivery milestones, and measurable outcomes.\n, • Strong knowledge of network and perimeter security architecture and controls, including segmentation, routing and policy considerations, encryption and access control patterns, and defense-in-depth design principles.\n, • Experience designing, delivering, or operating proxy and/or SSE capabilities at enterprise scale, including the ability to translate security requirements into deployable patterns and operational guardrails.\n, • Strong experience translating security requirements into deployable edge and perimeter-adjacent connectivity patterns, including Cisco and Arista environments, and the ability to align engineering decisions to operational and control requirements.\n, • Working knowledge of interconnect and colocation connectivity models (including Equinix Fabric) and cloud adjacency patterns including AWS Direct Connect and AWS PrivateLink, with the ability to incorporate these into perimeter and egress designs without compromising stability or controls.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience integrating US delivery requirements and stakeholder needs into global standards, reference architectures, and governance models while maintaining a consistent global risk posture.\n, • Experience leading AI-threat-informed remediation programs, including adapting standards and engineering patterns to account for high-velocity reconnaissance, rapid technique iteration, and automation-driven exploitation attempts, without sacrificing control integrity or operational stability.\n, • Experience building enterprise-scale governance programs for security engineering, including controls-by-design, exception frameworks, audit-ready traceability, and measurable risk reduction reporting.\n, • Experience with large-scale operations for externally facing or security enforcement services, including observability strategy, resilience testing, incident response alignment, and reduction of repeat incidents and client-impacting events.\n, • Experience designing and operating hybrid edge architectures and cloud interconnect patterns across multiple cloud providers.\n, • Security certifications such as CISSP, CCSP, or comparable credentials.\n\n Employer Description \n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. \n We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans \n Organization Description \n Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you - and the products you deliver - will thrive. \n High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. \n With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. \n As a protocol IMS/Telephony/NAS Firmware Engineer in Pixel Testing Engineering, you'll focus on carrier feature development/customization/testing and performance enhancement of IMS/Telephony/NAS features, working closely with Pixel SW teams and chipset vendors. You'll be the PoC for Pixel, launch testing for carriers in the region, overseeing cellular feature/regression/certification functional and performance test execution, debugging, analyzing and working with IMS/NAS/AS teams for the resolution. \n You will also be actively working to develop AI driven automation not only for automating your own tasks but also in innovating and contributing to streamlining processes used by the team. \n The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. \n Minimum qualifications: \n\n • Bachelor's degree in Communication Engineering, Electrical Engineering, a related field, or equivalent practical experience.\n, • 5 years of experience with IMS protocols and 3GPP NAS.\n, • 5 years of experience with LTE or 5G NR.\n\n Preferred qualifications: \n\n • Experiences in Android/Modem software development/testing/engineering, problem resolving and troubleshooting.\n, • Experience with programming, scripting or engineering automation using AI.\n, • Experience and understanding of 3GPP LTE/NR Layer 3 NAS protocol standards.\n, • Familiarity with IMS protocol standards, VoLTE, VoNR, VoWifi.\n, • Strong communication and collaboration skills.\n\n Responsibilities: \n\n • Develop, customize and plan tests of Android/Modem software to meet customer and project requirements in IMS/Telephony domain/NAS. Think critically of end user mobile use cases to uncover issues during the test campaign by systematically adding scenarios to test coverage for increasing confidence on Pixel product.\n, • Analyze Android/Modem IMS, NAS and AS protocol functional and performance issues.\n, • Collaborate with cross-layer teams (Telephony/IMS/NAS/AS) and cross-organization teams (Android SW, TPM/TAM and HW) for intime prioritization and resolution of issue ensuing high quality Pixel Android/Modem SW.\n, • Use AI and automation as a primary vehicle to execute work and enhance productivity, innovate solutions for issue triage and other mundane task.\n, • Generate ideas, develop features, build SW/HW systems and/or improve engineering processes and automation to help product velocity and quality.\n

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to shape the future of data, analytics, and AI at JPMorganChase. As part of our Applied AI ML team, you will have the opportunity to work in dynamic squads focused on impactful products and projects. You'll collaborate with diverse teams, accelerate your career, and help deliver solutions that enhance our data management and governance capabilities. We value your technical expertise, solution-oriented mindset, and passion for innovation. Your contributions will directly influence how we maximize the value of data globally. \n As a Vice President, Applied AI ML Lead in the Firmwide Chief Data Office's Applied AI ML team, you will design and deliver AI solutions that advance our data governance and management capabilities. You will work closely with business lines, corporate functions, and engineering teams to identify opportunities and create impactful solutions. Your role will empower you to move between tribes and squads, leveraging your strengths and interests. You will help foster a collaborative, innovative culture focused on driving transformation through AI and machine learning. \n Job Responsibilities: \n\n • Design and develop AI/ML solutions for data management challenges\n, • Build prototypes to demonstrate value to stakeholders\n, • Collaborate with business lines and corporate functions to identify needs\n, • Partner with engineering and data science teams for solution delivery and integration\n, • Maintain comprehensive documentation of models, experiments, and processes\n, • Deliver written, visual, and oral presentations of modeling results to stakeholders\n, • Stay current with research in LLM, ML, and data science\n, • Identify and leverage emerging techniques to enhance solutions\n\n Required Qualifications, Capabilities, and Skills: \n\n • Formal training or certification in data and AI/ML concepts with expert applied experience\n, • Proven commercial experience developing in Python and manipulating large volumes of complex data using SQL\n, • Extensive experience as a data scientist, AI/ML engineer, or AI/ML researcher\n, • Demonstrated ability to solve complex problems with multiple constraints\n, • Ability to articulate business needs to technical leadership and technical issues to business leadership\n, • Proven ability to engage constructively and collaboratively with engineers, designers, and company leaders\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience using AI agents and copilots to enhance business processes or user experiences\n, • Experience with data management\n\n The Firmwide Chief Data Office is dedicated to maximizing the value and impact of data globally, with a strong focus on governance. Our teams accelerate JPMorganChase's data, analytics, and AI journey through strategy, impact optimization, privacy, governance, transformation, and talent development. \n Why Join Us? \n You will be part of a collaborative environment where your ideas and expertise drive real change. We offer opportunities to grow, move between teams, and work on projects that matter. Your work will help shape the future of data and AI at JPMorganChase. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n As a Senior Lead Software Engineer in Data Platforms within the Chief Data and Analytics Office, you will lead a squad of engineers focused on enhancing the firmwide data catalogue system, Fusion. You will help teams across the globe access data efficiently, applying your technical expertise and engineering mindset to deliver secure, scalable solutions. You'll be second in command within a wider team of 40, taking a high degree of ownership and responsibility. Your role will foster innovation, collaboration, and continuous improvement, positioning you for advancement to Executive Director. \n Job responsibilities \n\n • Lead a squad of engineers, providing technical guidance and fostering a collaborative team environment\n, • Drive the development and enhancement of the firmwide data catalogue system (Fusion) to enable global data access\n, • Apply strong problem-solving skills and an engineering firm mindset to deliver secure, high-quality solutions\n, • Take ownership of technical decisions, influencing product design and application functionality\n, • Serve as a subject matter expert in data platforms and related technologies\n, • Advocate for and implement firmwide frameworks, tools, and practices within the Software Development Life Cycle\n, • Promote adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed\n, • Encourage diversity, inclusion, and respect within the team culture\n, • Apply knowledge of automation tools and AI-assisted development capabilities to maximize value at scale\n, • Collaborate with stakeholders to deliver solutions aligned to business needs\n, • Support operational stability and continuous improvement across the platform\n\n Required qualifications, capabilities, and skills \n\n • Experience leading technical teams and managing stakeholders to deliver high-quality solutions\n, • Hands-on expertise in system design, application development, testing, and operational stability\n, • Advanced proficiency in one or more programming languages and technical disciplines (cloud, AI, ML, etc.)\n, • Ability to tackle design and functionality challenges independently\n, • Demonstrated experience with enterprise-authorized AI-assisted software development tools\n, • Strong understanding of responsible AI use, including data sensitivity and secure handling\n, • An Understanding or knowledge of data modelling concepts \n, • High degree of ownership and accountability in technical leadership\n, • Excellent problem-solving skills and engineering mindset\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience working with global data platforms or catalogue systems\n, • Familiarity with Fusion or similar data catalogue technologies\n, • Ambition to progress to Executive Director\n, • Internal experience within JPMorgan Chase is advantageous\n, • Experience running squads in agile environments\n, • Ability to coach and mentor engineers on compliant AI usage\n, • Exposure to large, diverse engineering team\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n Senior Associate, Full-Stack Engineer Opportunities. \n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. \n We welcome you to apply! When applying to this general posting, our expert BNY Talent Acquisition Team may also review your resume for consideration across other open roles within the company. \n We’re seeking a future team member for the role of Senior Associate, Full-Stack Engineer to join our team. This role is located in London. \n Role Overview: We’re seeking a Full Stack Developer to build secure, scalable, and resilient systems. You’ll work primarily on the backend while contributing to modern web frontends, owning delivery across the product lifecycle and collaborating closely with product and design partners. \n In this role, you’ll make an impact in the following ways: \n\n • Design, build, and maintain backend services, batches and APIs, contributing to UI components as needed.\n, • Own end-to-end delivery: implementation, testing, deployment, observability, and reliability.\n, • Write clean, well-tested code; participate in code reviews and continuous improvement.\n, • Collaborate with product, design, and operations to translate business needs into technical solutions.\n, • Enhance performance, security, and resiliency through best practices and automation (CI/CD).\n, • Foster a learning, inclusive team culture —aligned to BNY’s principles and pillars.\n\n To be successful in this role, we’re seeking the following: \n\n • Hands-on AI development using modern tools and IDEs (e.g., Windsurf).\n, • Solid understanding of programming concepts and microservices\n, • Proficiency in Java with Spring.\n, • Experience with CI/CD, automated testing (JUnit/Spock), and containers (Docker).\n, • Familiarity with microservices, observability/telemetry (e.g., Splunk, AppDynamics), and cloud deployments.\n, • Curiosity to understand the business domain and translate product strategy into technical solutions.\n, • Working knowledge of Groovy with Spock preferred.\n, • Working knowledge of JavaScript/TypeScript and Angular 15+ preferred.\n\n At BNY, our culture speaks for itself, check out the latest BNY news at: \n BNY Newsroom \n BNY LinkedIn \n Here’s a few of our recent awards: \n\n • America’s Most Innovative Companies, Fortune, 2025\n, • World’s Most Admired Companies, Fortune 2025\n, • “Most Just Companies”, Just Capital and CNBC, 2025\n\n Our Benefits and Rewards: \n BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. \n BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. \n This is a talent pipeline posting and does not represent any one particular job opening. By applying to this pipeline requisition, your interest will be reviewed for multiple potential openings based upon your background and disclosed work preference.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n We’re seeking a future team member for the role of Director, Full-Stack Engineer to join our team. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • Lead by example in system design, code quality and agile development to engineer scalable and \n, • performant solutions across the full software lifecycle\n, • Leverage AI to its full capability to accelerate innovation and solution delivery and promote a culture of \n, • AI lead development\n, • Collaborate in small cross functional agile teams of talented individuals comprising of skilled product \n, • managers, traders, sales teams and fellow technologists all of whom put the client at the heart of \n, • everything they do\n, • Drive continuous improvement within the team - we value relentless curiosity and a growth mindset\n, • Work with Product Managers to devise and deliver new innovative FX products\n, • \n Provide mentorship and guidance across the team, fostering professional growth and technical development \n\n To be successful in this role, we’re seeking the following: \n\n • Extensive years of experience in development\n, • Batchelor’s degree in Computer Science, Mathematics or a similar field \n, • Experience in building mission critical systems, ideally in financial institutions\n, • Ability to work well within a fast-paced environment \n, • A results driven personality \n, • A passion for changing the status quo, driving out of the box thinking. Ability to adapt and lead through \n, • Change\n, • Prior experience of Front office trading systems\n, • Low latency trading experience\n, • Co-location Infrastructure knowledge \n, • Experience working with high performance messaging systems\n, • Hands on development with FIX APIs\n\n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. \n As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. \n Job Responsibilities: \n\n • Architect, develop, and productionize autonomous and assistive AI agents to enhance operations.\n, • Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks.\n, • Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation.\n, • Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling.\n, • Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations.\n, • Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops.\n, • Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact.\n, • Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations.\n, • Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Advanced degree in Computer Science, Data Science, Machine Learning, or related field.\n, • Experience building and deploying agentic AI applications in production environments.\n, • Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.\n, • Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts.\n, • Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph.\n, • Knowledge of generative models including transformers, GANs, VAEs, and diffusion models.\n, • Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques.\n, • Familiarity with cloud platforms and containerization technologies.\n, • Strong problem-solving skills and ability to work independently and collaboratively.\n, • Effective communication skills for technical and non-technical audiences.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience in financial services, especially investment banking operations.\n, • Experience fine-tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation.\n, • Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites.\n, • Experience with distributed computing, data sharding, and performance optimization.\n, • Hands-on experience with AWS services related to AI deployment and workflow orchestration.\n\n Why Join Us? \n We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM \n J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n Senior Specialist, Full-Stack Engineer \n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. \n We’re seeking a future team member for the role of Senior Specialist, Full-Stack Engineer to build secure, scalable, and resilient systems. You’ll work primarily on the backend while contributing to modern web frontends, owning delivery across the product lifecycle and collaborating closely with product and design partners. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • \n Design, build, and maintain backend services, batches and APIs, contributing to UI components as needed. \n • \n Own end-to-end delivery: implementation, testing, deployment, observability, and reliability. \n • \n Write clean, well-tested code; participate in code reviews and continuous improvement. \n • \n Collaborate with product, design, and operations to translate business needs into technical solutions. \n • \n Enhance performance, security, and resiliency through best practices and automation (CI/CD). \n • \n Foster a learning, inclusive team culture —aligned to BNY’s principles and pillars. \n\n To be successful in this role, we’re seeking the following: \n\n • \n Hands-on AI development using modern tools and IDEs (e.g., Windsurf). \n • \n Solid understanding of programming concepts and microservices \n • \n Proficiency in Java with Spring. \n • \n Experience with CI/CD, automated testing (JUnit/Spock), and containers (Docker). \n • \n Familiarity with microservices, observability/telemetry (e.g., Splunk, AppDynamics), and cloud deployments. \n • \n Curiosity to understand the business domain and translate product strategy into technical solutions. \n\n How we work: \n\n • \n Agile (Scrum/Kanban) tailored by teams for flow and outcomes; full product lifecycle ownership (build, test, deploy, monitor, iterate); growth mindset with continuous learning and knowledge sharing. \n • \n Code: Java 17/21 (Spring, Maven), Groovy, JavaScript/TypeScript (Angular) \n • \n Testing: JUnit, Spock \n • \n Deployment: Private Cloud (VMs/containers) \n • \n Tooling: GitLab (git and CI/CD), IntelliJ, Windsurf, Docker, Splunk, AppDynamics \n\n At BNY, our culture speaks for itself, check out the latest BNY news at: \n BNY Newsroom \n BNY LinkedIn \n Here’s a few of our recent awards: \n\n • \n America’s Most Innovative Companies, Fortune, 2025 \n • \n World’s Most Admired Companies, Fortune 2025 \n • \n “Most Just Companies”, Just Capital and CNBC, 2025 \n\n Our Benefits and Rewards: \n BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. \n BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. \n As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank - Post Trade Technology Group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. \n Job responsibilities \n\n • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\n, • Develops secure high-quality production code, and reviews and debugs code written by others\n, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\n, • Leads evaluation sessions with business stakeholders, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture\n, • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\n, • Use AI-assisted tools to accelerate engineering work while maintaining controls, including: \n \n, • Drafting/refactoring code and documentation with validation via tests, code review, and static/security scanning.\n, • Generating and expanding test scenarios (edge cases, regression suites) and verifying correctness/coverage.\n, • Assisting with troubleshooting by summarizing signals (logs/alerts/traces) and proposing hypotheses, confirmed through reproducible investigation.\n \n, • Apply responsible AI practices: protect sensitive data, avoid inappropriate input of confidential information, and treat AI output as non-authoritative until verified.\n, • Adds to team culture of diversity, equity, inclusion, and respect\n\n Required qualifications, capabilities, and skills \n\n • Formal training or certification on engineering concepts and 10+ years applied experience\n, • Hands-on practical experience delivering system design, application development, testing, and operational stability\n, • Advanced in one or more programming language(s)\n, • Proficiency in automation and continuous delivery methods\n, • Proficient in all aspects of the Software Development Life Cycle\n, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\n, • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\n, • Proficient in full stack development skill Java 21, REACT or any other frameworks , building into Public Cloud and CD/CD strategies.\n, • \n Practical experience using AI-assisted development tools to improve productivity and quality, with a strong verification mindset (tests + peer review). \n\n Preferred qualifications, capabilities, and skills \n\n • In-depth knowledge of the financial services industry and their IT systems\n, • Practical cloud native experience\n, • \n Experience with observability tooling and practices (structured logging, metrics, distributed tracing) and incident/problem management. \n\n Work Style / Ways of Working \n\n • Strong communication skills, ownership mindset, and ability to collaborate across product, engineering, and operations.\n, • Commitment to inclusive teamwork and continuous improvement in engineering practices and delivery excellence.\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About the role: We are looking for an IC3 Machine Learning Engineer to join our Risk ML and Intelligence team. In this role, you will be key to enabling the building of our machine learning models by focusing on the label side, building the integrity layer for our label platform. \n Every machine learning model at Wise learns from two core components: features (user signals) and labels (historical tags for activity like money laundering or fraud). If our labels are inaccurate, our models learn the wrong behavior. You will be responsible for label side quality, label monitoring, statistical integrity, and designing robust audit processes to ensure our ML infrastructure learns from clean, reliable data. \n How we work: At Wise, we operate with autonomous, cross-functional teams that put the customer first. We believe strong engineers can learn and adapt across tech stacks, so our interview and pair programming evaluations are language-agnostic (focused on Python or Java), allowing you to solve complex technical problems in the environment you are most comfortable with. \n What will you be working on?: \n\n • \n Building, scaling, and maintaining the integrity layer of our label platform for Risk ML models. \n • \n Defining, implementing, and monitoring statistical fundamentals and key quality metrics for data and labels. \n • \n Designing automated audit processes to evaluate and monitor label quality over time. \n • \n Working end-to-end on machine learning model training, evaluation, and pipeline deployment. \n • \n Collaborating closely with cross-functional partners across Risk Intelligence, Data Engineering, and Product. \n\n Qualifications \n What do you need?: \n\n • \n Education: A degree in STEM (Computer Science, Mathematics, Statistics, Physics, Chemistry, Electrical Engineering, or a related quantitative field). \n • \n Statistical Integrity: Strong mathematical and statistical fundamentals with a proven track record of applying statistical analysis to complex data environments. \n • \n ML Lifecycle Expertise: Hands-on experience working across model training, evaluation, and deployment (utilizing frameworks around Machine Learning, AI, Neural Networks, or NLP). \n • \n Programming Skills: Strong proficiency in Python or Java for data scripting and production engineering, alongside advanced SQL capability. \n • \n Data Fundamentals: Solid hands-on experience building static data pipelines, conducting deep-dive data analysis, and using data visualization tools to understand statistical behavior. \n\n Nice to Have: \n\n • \n Proven success in competitive machine learning environments or platforms (e.g., Kaggle, KDD competitions, or Google Summer of Code / GSoC). \n • \n Experience with specialized ML architectures such as Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), or Transformers/LSTMs. \n • \n Familiarity with real-time streaming data pipelines (e.g., Kafka). \n • \n Domain experience within Fintech, E-commerce, or fast-scaling tech companies. \n\n Additional Information \n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £87,500 – £111,000 + stock equity grants (RSUs vesting over 4 years) + benefits. \n • \n Wise Benefits \n\n Interested in more than one role? If you're interested in multiple roles, please apply for just one—the one you're most excited about. If you submit multiple applications requiring the same assessment, we'll continue your recruitment journey using your first application, and any duplicate applications will be automatically closed. This helps ensure a fair and consistent interview process. If another role feels like a better fit, you can discuss this with your recruiter during the process. \n #LI-AB3 #LI-Hybrid \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Monument to connect them with exceptional professionals for this role. \n Full Stack Engineer \n London (Oxford Circus) | Hybrid: 2 days per week | Reports to: Head of Mobile \n About Monument \n We’re building something genuinely rare: a financial brand designed for the mass affluent, the professionals, entrepreneurs and ambitious savers that traditional banks have systematically underserved for decades. \n We exist to make managing wealth simpler, smarter and more human, treating every client’s wealth with the same care as if it were our own. \n We have over £7 billion in client deposits, a fresh funding round and a place on the Future Fifty, the UK’s top pre-IPO companies. The momentum is real. \n The Opportunity \n This is a build role for an engineer who wants to own their work end to end. You will design, develop and ship digital products that directly shape how Monument’s clients manage and grow their wealth, working across the full stack from polished front-end interfaces to resilient back-end services. \n For the right engineer, this is a rare opportunity: meaningful ownership on a product that matters, at a pre-IPO challenger bank, working with modern tooling and an AI-first engineering culture that prioritises outcomes over process. \n What You’ll Do \n\n • Build, deploy and scale high-quality, secure and maintainable mobile applications across front-end and back-end systems, with full ownership of your code from architecture through to production monitoring.\n, • Collaborate closely with Product, Design and Data colleagues to define problems, shape hypotheses and ship working solutions at pace.\n, • Apply an AI-first approach to engineering, using tools such as Claude, GitHub Copilot and AI agents to accelerate development, testing and ideation without compromising quality or security.\n, • Instrument everything you build, tracking performance, behaviour and conversion to inform data-driven decisions on what to build next.\n, • Contribute to product strategy by identifying opportunities for technical innovation and automation across Monument’s digital experiences.\n, • Ensure operational excellence across your work, building for reliability, scalability and compliance in a regulated financial services environment.\n, • Help define and evolve engineering standards, architecture patterns and development best practices as the team scales.\n, • Champion simplicity in design and implementation, building systems and interfaces that are intuitive, elegant and frictionless for clients.\n\n The Challenges You’ll Tackle \n\n • Monument’s clients are discerning and have high expectations. Building experiences that feel genuinely premium, not just functional, requires craft as much as capability.\n, • Speed and quality must coexist. Shipping fast in a regulated environment means knowing where to move quickly and where to apply rigour.\n, • The full stack is genuinely full. You will be expected to contribute meaningfully across front end, back end and infrastructure, not camp in one layer.\n, • AI tooling is evolving fast. The challenge is not to use it for the sake of it, but to build the judgement to know when and how it genuinely improves your output.\n\n The Mindset \n\n • Bias to Action. Make decisions with the information available. Do not wait for perfect conditions. Ship, learn, iterate.\n, • Radical Ownership. Accountable for the quality, performance and reliability of what you build, not just the code you commit.\n, • Challenge with Intent. Push for better solutions through evidence and technical rigour, even when the easier path is available.\n, • Intellectual Humility. Let data and results guide architectural decisions. Adapt when evidence changes, even when it means revisiting previous calls.\n, • Low ego, high standards. Confident in technical convictions, collaborative in approach, focused on outcomes.\n\n What You Bring \n\n • Proven full-stack engineering experience, delivering production-ready applications using React, Node.js and AWS on web and mobile platforms.\n, • Hands-on experience with iOS or Android native development, or React Native for mobile-first product work.\n, • Strong working knowledge of RESTful and GraphQL APIs, serverless architectures and CI/CD pipelines.\n, • Comfortable in TypeScript and JavaScript, with experience in cloud-native ecosystems and modern tooling.\n, • A track record of using data and experimentation to guide technical and product decisions.\n, • Demonstrable experience with AI-powered engineering tools, with a considered approach to where they add genuine value.\n, • Experience working in agile, product-led teams where speed, collaboration and ownership are the norm.\n, • Familiarity with UK GDPR data handling obligations and an understanding of what it means to build in a regulated environment.\n, • Experience with event-driven systems and database technologies such as PostgreSQL or DynamoDB is advantageous.\n, • Exposure to financial services, fintech or other regulated environments is a plus but not a requirement.\n\n What’s in It for You \n Build products that real clients use at a pre-IPO challenger bank with genuine commercial momentum. No legacy constraints, modern tooling, an AI-first engineering culture and the autonomy to own your work end to end. Be measured by what you ship and its impact, not by ticket velocity or meeting attendance. \n Our Values \n At Monument, our values shape how we make decisions, how we treat each other when things get hard, and how we show up for clients who expect more than standard banking. \n We set ambitious goals and hold ourselves to them, not because it looks good, but because our clients’ outcomes depend on it. When something isn’t working, we say so early, learn from it, and move. We don’t wait for perfect conditions, and we don’t protect egos over progress. \n We work as a genuine team, which means real collaboration, honest conversations when we disagree, and shared accountability when things go wrong. We know better decisions come from different perspectives, so we actively value the range of experiences and backgrounds our people bring. \n We’re always asking whether there’s a smarter way to do what we do, not for the sake of change, but because standing still isn’t an option in the market we’re in. \n Benefits \n\n • 28 days annual leave plus 8 bank holidays\n, • Performance related bonus structure\n, • Equity after probation\n, • Enhanced pension (9% employer contribution + 1% match when you contribute a minimum of 1%)\n, • Private health insurance with family cover\n, • Optical and dental cover\n, • Online GP service for you and your family\n, • Life assurance\n, • Flexible hybrid working, including options to work from abroad\n, • Enhanced parental leave\n\n Equal Opportunities \n Monument Bank is an equal opportunities employer. We are committed to creating an inclusive environment for all employees and applicants. We welcome applications from individuals of all backgrounds and do not discriminate on the basis of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.

hackajob is collaborating with Virgin Media to connect them with exceptional professionals for this role. \n We are looking for an application security engineer who is based in the UK for a majority remote role based in London. \n In order to be considered, the candidate must have the following experience; \n • Experience assessing security impacts across codebases and APIs using languages such as Java, TypeScript and Python. \n • Strong knowledge of the OWASP Top 10, secure coding practices, and common web and API vulnerabilities. \n • Hands-on experience triaging, validating and remediating vulnerabilities with both technical and non-technical stakeholders. \n • Experience integrating security tooling into CI/CD pipelines and embedding DevSecOps practices. \n We'd also love you to bring; \n • Security certifications such as OSCP, GWAPT, CSSLP, CEH or Security+. \n • Experience securing AWS environments and infrastructure-as-code solutions such as Terraform. \n • Knowledge of AI-enabled security workflows and securing AI or LLM-powered features. \n • Experience contributing to or maintaining open-source security tooling. \n • Proven expertise in threat modelling, secure code review, architecture review, and container/Kubernetes security.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n The Global Agency and Third Party Ecosystem team is the technical sales and consultant organization for the expanding ecosystem of Ad tech, MarTech and Agency partners. Our focus is on driving value for Brands through deep connections between the Third Party Ecosystem and Google advertising data, technology and AI. \n As an Ecosystem Sales Engineer, you will sit at the nexus of Google Platforms, Data, APIs, and Google Cloud. In this specialized role, you will turn pre-sales strategy into meaningful integrations with Third-Party Ecosystem (3PE) partners through technical consultation. Operating within a specialism like Measurement, Creative Tech, Creator Tech, or Agentic Marketing Solutions, you will conduct advanced technical in-depth to design optimal integrations that maximize impact for Advertisers and Google. \n Serving as the technical authority during the architectural design phase, you will ensure Google’s product priorities are seamlessly integrated while developing scalable cross-product blueprints for partner disciplines. Your deep technical engagements will directly fuel Google's future product roadmap by documenting advanced 3PE solutions, analyzing engaged offerings, and delivering actionable intelligence to our Product and Engineering teams. \n Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google. \n Minimum qualifications: \n\n • Bachelor's degree or equivalent practical experience.\n, • 8 years of industry experience in a client-facing pre-sales, technical consulting, or solutions engineering capacity, or 6 years of experience with an advanced degree.\n, • Experience with software development, programming (e.g., Python, JavaScript, SQL), and enterprise API integrations.\n, • Experience architecting technology and data solutions within digital advertising, MarTech, or cloud computing ecosystems.\n\n Preferred qualifications: \n\n • Experience developing advanced marketing activations, secure data pipelines, and custom API connections.\n, • Deep expertise across Google’s advertising platforms (Google Ads, GMP) and Google Cloud (BigQuery, AI/ML, Data Analytics).\n, • Ability to translate complex technical solutions into persuasive storytelling for executive audiences.\n, • Ability to bridge pre-sales agreement shaping, architectural foresight, and post-sales technical delivery.\n, • Proven track record in driving value within the third-party ecosystem (agencies, SIs, ISVs).\n\n Responsibilities: \n\n • Lead advanced, project-based technical engagements with qualified 3PE partners to uncover technology offerings and design optimal integration methodologies with Google.\n, • Develop repeatable integration blueprints and architectural plans spanning multiple Google products and APIs to scale across multiple partners within specific focus areas.\n, • Act as the technical authority during the design phase, ensuring critical Google product strategies are seamlessly incorporated into partner architectures.\n, • Translate deep partner engagements into actionable insights by documenting advanced 3PE solutions and engaged capabilities to influence core Google Product and Engineering roadmaps.\n

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role. \n Are you a legally qualified professional who is excited by the opportunity to combine legal expertise with innovative AI-powered technology? \n Do you enjoy working closely with clients, helping them improve legal workflows, drive adoption, and realise measurable value from technology solutions? \n About our Team \n LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. \n About the Role \n We are looking for a Legal Engineer to join our Legal Engineers team. This role offers legally qualified professionals the opportunity to work at the intersection of law, technology and AI, helping law firms and in-house legal teams transform how legal work is delivered through AI-enabled workflows and practical legal technology. \n As a Legal Engineer, you will act as the bridge between LexisNexis technology and the legal professionals who use it every day. Working alongside Customer Success and Account Management, you will lead workflow discovery sessions, design and implement AI-enabled solutions, and help customers realise measurable improvements in efficiency, quality and adoption. You'll work closely with Partners, General Counsel, Knowledge Management, Innovation, Legal Operations and Technology teams to solve real business challenges. \n Responsibilities \n\n • Lead workflow discovery sessions with customers to understand current legal processes, identify pain points and define opportunities for AI-enabled improvement.\n, • Design, configure and deploy AI-enabled workflows and skills that align with customer processes and business objectives.\n, • Deliver targeted onboarding, enablement and adoption sessions tailored to different user groups and practice areas.\n, • Work alongside Customer Success to embed new workflows into day-to-day legal practice and drive sustained adoption.\n, • Monitor customer usage and identify opportunities to improve adoption, engagement and value realisation.\n, • Demonstrate measurable customer outcomes, including improvements in efficiency, quality, consistency and risk reduction.\n, • Act as the voice of the customer by translating workflow requirements, product gaps and customer feedback into actionable insights for Product and Development teams.\n, • Share best practices and reusable workflow solutions across customers and internal teams.\n\n Requirements \n\n • Qualification as a Solicitor in England & Wales, ideally with 3+ years' PQE gained within a large law firm or major in-house legal team.\n, • Experience working with complex legal workflows across transactional and/or contentious practice areas.\n, • Strong consulting, facilitation and stakeholder management skills, with confidence engaging senior legal professionals.\n, • A genuine interest in legal technology, AI and workflow transformation, with curiosity about how technology can improve legal service delivery.\n, • Excellent relationship-building skills and the ability to influence, collaborate and drive change across multiple stakeholders.\n\n Success in this Role \n Successful Legal Engineers help customers redesign how legal work is delivered through AI-enabled workflows and legal technology. They build trusted relationships with senior stakeholders, drive measurable adoption and usage, deliver practical workflow solutions, and provide valuable customer insight that shapes future product development. \n Work in a Way That Works for You \n We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. \n Working Pattern \n Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. \n About the Business \n LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. \n We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. \n We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. \n Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. \n Please read our Candidate Privacy Policy. \n We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. \n USA Job Seekers: \n EEO Know Your Rights.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n Director of Technology, FX Execution Services \n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. \n This is a Pipeline req, created in anticipation of potential future needs in BNY. We welcome you to apply! When applying to this general posting, our expert BNY Talent Acquisition Team may also review your resume for consideration across other open roles within the company. \n We’re seeking a future team member for the role of Director of Technology, FX Execution Services to join our team. This role is located in London. \n Our tech teams are the driving force and the heartbeat of our business. We are looking for a talented and driven Engineer with a proven track record of driving rapid and impactful business transformation through technological innovation. You will be part of our FX Execution Services Technology Team and will play a key role in building out the next generation of BNYs Foreign Exchange Trading Systems. Working directly with skilled Product Managers, Traders, Sales teams and fellow technologists, all of whom put the client at the heart of everything they do, you will help build out our FX trading platform covering pricing, execution, algo trading, order routing and data analytics. \n In this role, you’ll make an impact in the following ways: \n\n • Lead by example in system design, code quality and agile development to engineer scalable and \n, • performant solutions across the full software lifecycle\n, • Leverage AI to its full capability to accelerate innovation and solution delivery and promote a culture of \n, • AI lead development\n, • Collaborate in small cross functional agile teams of talented individuals comprising of skilled product \n, • managers, traders, sales teams and fellow technologists all of whom put the client at the heart of \n, • everything they do\n, • Drive continuous improvement within the team - we value relentless curiosity and a growth mindset\n, • Work with Product Managers to devise and deliver new innovative FX products\n, • Provide mentorship and guidance across the team, fostering professional growth and technical \n, • development\n\n To be successful in this role, we’re seeking the following: \n\n • Extensive years of experience in development\n, • Batchelor’s degree in Computer Science, Mathematics or a similar field \n, • Experience in building mission critical systems, ideally in financial institutions\n, • Ability to work well within a fast-paced environment \n, • A results driven personality \n, • A passion for changing the status quo, driving out of the box thinking. Ability to adapt and lead through \n, • Change\n, • Prior experience of Front office trading systems\n, • Low latency trading experience\n, • Co-location Infrastructure knowledge \n, • Experience working with high performance messaging systems\n, • Hands on development with FIX APIs\n\n At BNY, our culture speaks for itself, check out the latest BNY news at: \n BNY Newsroom \n BNY LinkedIn \n Here’s a few of our recent awards: \n\n • America’s Most Innovative Companies, Fortune, 2025\n, • World’s Most Admired Companies, Fortune 2025\n, • “Most Just Companies”, Just Capital and CNBC, 2025\n\n Our Benefits and Rewards: \n BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. \n BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. \n This is a Pipeline req, created in anticipation of potential future needs in BNY.

hackajob is collaborating with Sainsbury's DTD to connect them with exceptional professionals for this role. \n Every week we move millions of products to our customers at record speeds. Brilliant customer experiences at this kind of pace, require fresh and appealing products to be available whenever and however our customers shop with us. And in this area of our business, we help to make sure that happens. \n By engineering innovative, smart technology, we put the tools in our colleagues’ hands to power a global supply chain. Whether it’s wine from New Zealand or milk from the local dairy farm, our tech performs. We solve problems at scale. We process billions of records, predicting and planning to make our customers lives easier. We keep ours and stores operating smoothly around the clock, because what’s important to our customers, is important to us. \n We are looking for an AI Engineer to work within a team engaged in delivering and running multi brand AI powered telephony and chat system in Azure. The role involves ensuring the scalability, reliability, security, and efficiency of the application. \n About the role \n\n • Help lead on the delivery of best in class Generative & Agentic AI services to Sainsbury’s\n, • Deploy and configure production systems, with a particular focus on automation, scalability and security.\n, • Collaborate with other Engineers to design, implement and evolve the system\n, • Engage in the expansion of the evaluation framework, collaborating with product owners and architects to ensure that solutions help customers and achieve the logistics business goals\n, • Monitor new features/functionality and assess their Ops implications to continuously improve services.\n, • Discover and recommend ways to improve reliability and efficiency\n, • Maintain an overarching service dashboard and reporting\n, • Produce and maintain documentation of support processes & resolutions to known operational issues.\n, • Participate in a 24/7 on call rota as required\n\n Essential Criteria: \n\n • Proven Azure commercial experience in AI Foundry, ACS / Telephony, Voice Live, Azure ML \n, • Proven industry experience with Python, Javascript, Typescript, React, Redux, Java\n, • Experience with LLM’s including realtime models\n, • Experience with Docker, Container Apps, containerised distributed systems, Terraform, Kafka, New Relic, MCP, Websockets\n, • Experienced in writing automated tests and maintaining CI/CD pipelines\n, • Proven experience of source and version control tools such as GitHub\n, • Be experienced working with Agile delivery teams in a fast paced, DevOps environment\n, • Be diligent and positive about tracking (JIRA), system monitoring, security & auditing\n, • Feed your insights to continuously improve the platform\n, • Be an active contributing part of an agile development team\n, • The ability to engage with and influence stakeholders\n\n Desirable: \n\n • Familiarity with Genesys would be a positive\n\n As well as lots of on-the-job training and endless opportunities, you’ll get: \n\n • Colleague discount across our multi-brands – Sainsbury’s, Argos and Habitat\n, • Holiday allowance\n, • Bonus scheme\n, • Pension plan\n, • Special offers on gym memberships, restaurants, holidays, retail vouchers and more\n\n Work-life balance is important to us, so we offer our colleagues as much flexibility as possible in line with the needs of their role. We trust them to decide how, where and when they work, combining remote and collaborative working with a flexible approach to hours, giving them plenty of time and space for life outside of work whilst delivering against our business goals.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Our trading technology stack is undergoing a multiâyear convergence and modernization journey. You will play a pivotal role in shaping our nextâgeneration SRE patterns, reliability frameworks, observability strategy, and performance engineering capabilities across globally distributed systems. This role is ideal for an SRE specialist who thrives in fastâpaced frontâoffice environments, enjoys direct interaction with traders, and wants to influence the reliability culture of a major global trading organization. \n As a Lead Site Reliability Engineer at JPMorgan Chase within J.P. Morgan Asset Management's Trading Technology group, you will be embedded directly within the software engineering team that builds and supports our frontâoffice trading platforms. \n Job Responsibilities: \n\n • Engage daily with traders across asset classes (Equities, Fixed Income, FX) to understand workflows, pain points, and reliability priorities.\n, • Act as a trusted engineering partner to the desk, ensuring systems are stable, performant, and aligned with business needs.\n, • Support live trading environments, including incident response, root cause analysis, and post mortem leadership. Work as a core member of the software engineering team, participating in daily standups and design discussions.\n, • Contribute directly to the codebase (Java, Kotlin, Python) to implement reliability improvements, performance optimisations, bug fixes, and automation.\n, • Lead the design and rollout of modern SRE patterns across trading systems, including automated remediation, self healing workflows, and resilience engineering. \n, • Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.\n, • Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.\n, • Drive improvements in latency, throughput, and stability across high volume trading applications.\n, • Build and maintain tooling for monitoring, alerting, and distributed tracing across global environments.\n, • Operate within a globally distributed engineering and trading organization, collaborating with teams in EMEA, US, and APAC.\n, • Partner with infrastructure, networking, cloud engineering, and cybersecurity teams to ensure end to end reliability.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Strong hands on experience in front office trading environments or similarly high pressure, low latency domains.\n, • Proficiency with SRE tooling and techniques, including FIX messaging, Kafka, Grafana, Splunk, ITRS Geneos, Dynatrace, InfluxDB, MQ (IBM MQ or similar), Oracle DB\n, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.\n, • Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.\n, • Deep knowledge of reliability engineering principles: SLIs/SLOs, real-time telemetry, disaster recovery planning, capacity planning, and performance tuning.\n, • Experience designing and implementing observability frameworks for mission critical systems.\n, • Proven ability to lead incident response and drive long term remediation.\n, • Solid programming skills in Python, Java, or Kotlin, with the ability to contribute production grade code. Experience with microservices, distributed systems, and event driven architectures.\n, • Strong understanding of CI/CD pipelines, automated testing, and deployment strategies.\n, • Comfortable interacting directly with traders and senior stakeholders. Excellent communication skills, especially when translating technical issues into business impact. Ability to operate calmly and decisively in high pressure situations.\n, • Strong leadership presence with a collaborative mindset.\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.â