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We don’t just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Sky is looking for a talented and dedicated Senior Software Engineer in RDK Triage Engineering team to support the release cycles associated with deployed software on CPE devices. These devices use Reference Design Kit (RDK), which is deployed on over 100+ million devices spanning video, broadband and home security. The Release Triage Software Engineer function is critical to the successful development and deployment of new features and fixes as the function ensures that these changes get deployed to the field. Sky’s development environment is advanced and highly integrated. It uses industry-standard tools that are combined effectively to support a fast-moving, agile development cycle. The combination of these tools running on cloud infrastructure, coupled with effective use of Open-Source code, allows Sky to deliver features and products against aggressive timelines. What You’ll Do: As a key engineer of the team, you will be responsible for leading on-time, high-quality releases across a large number of devices. You will also be responsible for the complete release quality and triage lifecycle, which includes deployment, triage, mitigation, and tool development for software release operations. The position will require daily collaboration with the Development, Release, and QA teams. You will assess and ensure the release quality of the RDK software with Key performance metrics as well as incidents from the field. Also, identify new tools, processes, etc., necessary to improve the software release triage engineering process. You will manage risks and resolve issues that affect release scope, schedule and quality. Your daily tasks: • Investigate customer-impacting field issues, identify root cause, and guide development teams toward the right fix, • Use strong problem-solving and debugging skills to isolate faults and resolve issues quickly, • Monitor business intelligence and telemetry dashboards to catch emerging customer issues early and act on them, • Collaborate closely with internal engineering teams and external partners, communicating findings clearly, • Contribute to and follow Agile development practices, • Stay current with new tools, technologies, and best practices across development, data analysis, cloud platforms, and monitoring, • Help scope requirements and contribute ideas to improve triage tooling and workflows, • Support and mentor teammates, sharing knowledge and best practices as you grow What You’ll Bring: • Experience in software engineering, systems debugging, or technical support, with a strong problem-solving mindset, • Experience with Linux and at least one programming language (C, C++, Python, or similar), • Comfort working with networking & video/digital TV concepts (WiFi, broadband, or video technologies a plus, but not required), • Exposure to data analysis or monitoring tools (e.g., Elastic, Splunk, Datadog, or similar) is a plus, • Understanding of software development practices, version control, and Agile methodologies, • Strong communication skills and the ability to work well with cross-functional and global teams, • A curious, adaptable mindset — comfortable learning new tools and technologies on the job Team overview: The Global RDK Field Triage Team within the RDK development team plays a critical role in ensuring the quality and reliability of these products. The team supports software deployment on CPE (Customer Premises Equipment) devices, collaborates with the release and engineering teams during integration, and leads issue investigation and live data monitoring. Our mission is to ensure optimal product performance and customer satisfaction. This role involves close collaboration with colleagues across the UK, India, and the US, offering a dynamic and truly international working environment. Global Product We’re the Global Product. We’re the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can’t wait to get started on what’s next. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here’s a taster: Free Sky TV or NOW package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you’ll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there’s plenty of space to see your big ideas come to life. Here you’ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there’s free onsite parking available for cars, motorbikes and bicycles. Who we are We’re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We’re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search #LifeAtSky on social media.

Why Join DAZN?DAZN is transforming the way the world watches sport, delivering live and on-demand content to millions of fans across the globe. Behind every seamless streaming experience is a world-class technology infrastructure that powers our platform 24/7. As part of our Technology Operations team, you'll play a critical role in maintaining and evolving the infrastructure that underpins DAZN's global services. Working across private cloud environments, data centres, and multiple cloud providers, you'll help deliver reliable, scalable, and innovative solutions that support one of the world's leading sports streaming platforms. If you're passionate about infrastructure, problem-solving, and working with cutting-edge technology at global scale, DAZN offers an exciting opportunity to make a tangible impact.The Role:As a Data Center Engineer, you will join our centralised Data Center Team within Technology Operations, supporting the infrastructure that powers DAZN's global services. You will be responsible for maintaining, troubleshooting, and improving our physical and virtual infrastructure across UK data centres and global points of presence. Working closely with colleagues across technology teams, you'll contribute to infrastructure projects, capacity planning, disaster recovery initiatives, and operational improvements. This role combines hands-on engineering with strategic infrastructure management and offers the opportunity to work across a broad range of technologies in a fast-paced, mission-critical environment.What You'll Be Doing:Installing, configuring, and maintaining server, storage, networking, and cabling infrastructurePerforming preventative maintenance and hardware repairs across data centre environmentsManaging data centre assets, capacity, and utilisation through DCIM toolsDiagnosing and resolving hardware, connectivity, storage, power, and cooling issuesSupporting disaster recovery planning, testing, and business continuity initiativesMonitoring infrastructure capacity and forecasting future requirementsEnsuring compliance with security standards, operational procedures, and data centre regulationsMaintaining accurate documentation, configuration records, and incident reportsWhat You'll Bring:Previous experience in a Data Center Engineer or similar infrastructure roleStrong experience with physical server infrastructure, storage systems, networking technologies, and cablingAdvanced troubleshooting skills across hardware, TCP/IP networking, power, cooling, Linux, and Windows environmentsExperience supporting data centre operations, processes, reporting, and continuous improvement initiativesExcellent communication skills with the ability to document and explain technical concepts clearlyBenefitsBenefits include access to DAZN, 25 days’ annual leave (increasing by 3 days after 3 years), private medical insurance, life assurance, pension contributions up to 5%, family friendly community including enhanced parental leave, electric vehicle benefit option, learning and development resources, opportunity for flexible working, and access to our internal speaker series and events.Department61-867 - Technology Operations - InfrastructureEmployment TypePermanent - Full TimeWorkplace typeHybrid

Atolls is the world’s largest community-driven shopping platform, active in 20+ markets. We help millions make smarter spending decisions across discovery, evaluation, and (re-)purchase by connecting people with the right brands and retailers.Our 1,000+ team across 10 countries builds products used every day at global scale, where you’ll have real ownership and see your impact. Want to shape the destinations people rely on to shop with confidence? Keep reading.About This Role:We are looking for a Data Engineer to join our Data Products team. At Atolls, your role will be instrumental in helping us building a data platform and data products that helps many multiple teams at the company creating exceptional user experiences and empowering consumers to make informed and confident shopping decisions. As a key part of our team, you’ll be directly involved in building and enhancing the digital destinations our users rely on throughout their shopping journeys.Your contributions will help shape how millions of consumers interact with our platforms, guiding them to make smart, fair, and rewarding choices.Our Benefits:At Atolls, we believe in nurturing both your professional and personal growth. Here’s what you can expect:A culture that values personal and professional development, with internal mobility opportunities.A supportive and open-minded team that embraces diverse perspectives and innovative ideas.32 days of paid vacation plus your birthday off, giving you the time you need to recharge.A flexible hybrid working scheme to balance work and life.Access to a learning budget and internal training to help you grow in your role.Mental health coaching to support your well-being.Regular global and local get-togethers to celebrate successes and build connections.The possibility of taking a sabbatical after three years with the company.A cloud-based company setup, providing flexibility and collaboration opportunities no matter where you are.These are global benefits that apply to all employees, with additional local perks based on your location.Responsibilities:In this role, you will:Help build our next-generation data platform, using a modern technology stack that will enable new products and analytics capabilities across the company.Design, build, and own end-to-end data pipelines that ingest, transform, and deliver high-quality data products used both for internal analytics and to power features experienced directly by our customers.Build, operate, and continuously improve the core data platform, including databases, clusters, streaming infrastructure, and other platform services, with a focus on reliability, scalability and performance.Continuously improve our engineering practices by enhancing CI/CD pipelines, automating workflows, adopting modern developer tooling, and leveraging LLMs to improve developer productivity.Your Profile:We're looking for a Data Engineer with a strong software engineering mindset who enjoys building data platforms and is dedicated to creating exceptional user experiences and driving innovation.Technical Skills: experience writing code in Python, strong SQL skills, and experience with cloud-based solutions on AWS or GCP.Nice to have technical Skills: ClickHouse, Terraform, CI/CD, Kubernetes, Kafka, MySQL, dbt, Airflow.Soft Skills: we are looking for a collaborative engineer who enjoys working closely with teammates, who proactively identifies opportunities for improvement and helps drive them to completion, with the ability to explain technical ideas clearly to both technical and non-technical audiences.Our hiring process:TA Call: Meet one of our Talent Experts and get to know Atolls better.Technical Round: Focus on the technical aspects of the role (Through a Live Case), and meet your potential manager.Final Round: Meet other Atollians ð️It varies from 1 to 3 interviewsSome processes might slightly change according to needsReady to apply?Be part of a destination where your work helps millions of people make better decisions every day.One focused application is all we need. If you truly fit more than one role, you’re welcome to apply to up to three. This helps us match you with the right opportunity faster.We review every application with equal care and will reach out if your profile aligns. Apply now with your CV in English.*Portfolios, writing samples, or certifications may be requested based on the role.#LI-PM1At Atolls, we want to ensure that all employees can thrive in an inclusive environment. Our employment opportunities are open to every gender, race, religion, age, sexual orientation, ability, place of origin, or socioeconomic status. We remain committed to a culture of diversity, equity and belonging, where all employees are welcomed, respected, connected, and engaged.

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.Senior Full-Stack Engineer — Flow (AI Agent Platform)Location: London Victoria OfficeWork Pattern: Hybrid (4 days office, 1 day remote)Team: Flow (Core AI Infrastructure)About the RoleFlow is our internal AI agent platform. This isn't a basic chatbot bolted onto a help center; it is core agentic infrastructure that reaches across our data warehouse, services, and central systems to execute complex work on behalf of the business. Flow powers both internal and client-facing workflows, delivering true automation and replacing traditional ticketing queues with instant, intelligent actions.We are looking for a Senior Full-Stack Engineer to help us transition Flow from a fast-moving internal product to durable, productionized platform infrastructure. You will own complex features end-to-end—including agent workflows, reasoning UIs, and cross-system integrations—while raising the engineering bar and shaping the technical direction of a small, autonomous team.This role sits at the intersection of agentic AI and live operational workflows within a regulated fintech environment. The surface area is the entire company, and your impact will be visible within weeks.What You'll DoBuild Action-Oriented Agent Workflows: Design multi-step orchestration, tool use, and retrieval grounded in our data stores using the Strands Agents SDK.Architect End-to-End Features: Own development across a React/TypeScript frontend and Python/FastAPI backend, balancing rapid iteration with platform maintainability.Own the Reasoning Layer: Extend our Chain-of-Thought UI to ensure explainability. In a regulated environment, showing why an agent made a decision is a core feature, not a nicety.Make Agents Measurably Reliable: Build and extend our evaluation harness (Ragas) and observability platform (Langfuse, with session continuity) so we ship changes based on evidence, not vibes.Define Evaluation Strategies: Build custom evaluators, datasets, benchmarks, and automated regression suites to catch quality regressions before they hit production.Integrate Systems & Clouds: Connect internal APIs, data warehouses, email, and cross-cloud GCP/AWS services with robust error handling and distributed tracing.Industrialize Prototypes: Drive the discover industrialize productionize lifecycle, turning promising AI prototypes into hardened, daily-deployed services on CD pipelines.Mentor & Lead: Uplift mid-level engineers through code reviews, pair programming, and establishing scalable engineering patterns.Collaborate Cross-Functionally: Partner with Product, Ops, Trading, and Treasury to identify high-value workflows worth automating (and ruthlessly deprioritize the ones that aren't).The Tech StackFrontendReact, TypeScriptMicro-frontend architectureChain-of-Thought / Agent-reasoning UIVite, VitestBackend & AIPython, FastAPIStrands Agents SDK (Agent Orchestration)AWS BedrockRAG / Advanced RetrievalRagas (Evaluation), Langfuse (LLM Observability)InfrastructureAWS (ECS Fargate, Lambda, API Gateway, S3) with cross-cloud GCP integrationTerraform, GitHub ActionsDockerEvent-driven integration patternsWhat We're Looking ForMust-Haves5+ years of professional software engineering experience.Strong Python Backend Expertise: Deep experience with FastAPI (or Django/Flask), asynchronous programming, clean architecture, and writing production-grade code.Strong React & TypeScript Skills: Ability to architect non-trivial frontends with sound state management, performance optimization, and comprehensive testing.System Design Judgment: A proven track record of designing scalable, maintainable systems and clearly articulating architectural trade-offs.API & Integration Skills: Proficiency with REST, streaming (SSE/WebSockets), and the real-world complexities of stitching together messy upstream systems.Data Proficiency: Strong SQL/NoSQL skills, query optimization, and data modeling.Testing & Ownership Mindset: You treat testing as a core part of the development lifecycle and proactively drive features from ambiguous ideas to production.Excellent Communication: Ability to explain technical decisions to both engineers and non-technical stakeholders, alongside a passion for writing useful documentation.Nice-to-HavesAgentic AI Experience: Hands-on experience with agent orchestration (Strands, LangGraph, AutoGen, or similar), RAG, tool use, and context engineering.Production LLM Systems: Familiarity with LLM observability (Langfuse), evaluation (Ragas), token/cost management, and reliability patterns.AWS Depth: Experience with Lambda, ECS, Bedrock, or equivalent cloud services (cross-cloud exposure is a major plus).Event-Driven Architectures: Experience with event streaming and message brokers.Regulated Environments: Experience working within fintech, compliance, or similar sectors with strict data-residency and auditability constraints.Micro-frontends & IaC: Experience with micro-frontend architecture and Infrastructure as Code (Terraform/CDK).#LI-JB1About usEbury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 2000+ Eburians across nearly 70 cities and we’re always looking to add to our team. At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage. The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.Important Security Notice for Job Applicants:Ebury only accepts applications via official Ebury channels. We will only contact you from an @ebury.com domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity.Notice to Recruitment Agencies and Search Firms:Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires.AI Transparency Statement:Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews, shortlisting, and final selections are evaluated and conducted by human talent acquisition professionals and hiring managers.

DescriptionAbout ZegoInsurance hasn’t changed much in over a century. The way we live, work and travel has.Good drivers are the entire point of Zego. Seven in 10 drivers on the road are consistently good, but until telematics came along there was no way to prove it, so nearly everyone paid a price based on averages. Zego is the company built to change that. At Zego, we're leading the AI evolution in insurance.We move fast, without the layers that usually slow things down. AI takes the routine work off every team, from Finance to Product to Marketing, so people ship real code and launch custom dashboards in minutes. Engineering commits are entirely AI-assisted, which shifts the focus from team size to the quality of your thinking, and our data warehouse connects directly to an AI assistant for instant answers. Backed by a modern tech stack (Claude Code, Snowflake, Figma and Zapier) and a commitment to adopting new tools in days rather than quarters, you get complete ownership to do the most impactful work of your career. Purpose of the role We're looking for a Senior Data Engineer to be a key technical contributor within our data engineering function, helping to build and evolve our data platform to meet Zego's ambitious growth.This is a hands-on technical role, you'll design and build scalable, resilient, and secure data systems, while supporting the wider team through knowledge sharing and collaboration. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable.While this role doesn't involve line management, you'll be expected to contribute to technical excellence within the team by sharing knowledge, reviewing code, and supporting less experienced engineers.RequirementsWhat you will be doingTechnical Delivery & Collaboration Act as a strong technical contributor within the Data Engineering team.Support and help less experienced engineers grow through pairing, code review, and knowledge sharing.Promote best practices in data engineering, including testing, CI/CD, observability, and infrastructure as code.Platform & ArchitectureDesign, build, and maintain scalable and secure data pipelines, warehouses, and streaming systems.Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases.Contribute to the evolution of our data architecture, ensuring it can support both current and future business needs.Collaboration & Delivery Partner with teams across the business to understand requirements and translate them into robust technical solutions.Identify opportunities for optimisation, re-architecture, or tool improvements.Contribute to the delivery of the technical roadmap for data engineering.What you will need to be successfulExperience: 4+ years as a Data Engineer working on scalable data platforms, ideally in product-led or high-growth environments.Solid experience designing, building, and operating ETL/ELT pipelines and large-scale data architectures.Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential).Ability to work effectively with cross-functional stakeholders, translating technical concepts into business value.Experience supporting other engineers through code reviews, pairing, and knowledge sharing.Pragmatic approach to balancing technical excellence with delivery needs.You work AI-first. You will use AI daily here, and we mean daily. You do not need to arrive an expert, but you do need to arrive curious, experiment fast, and take ownership of getting good quickly. People who wait to be trained will find this uncomfortable.Nice to have: Experience building Data Mesh or Lakehouse architectures.Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis).Exposure to ML engineering pipelines or MLOps frameworks.BenefitsWhat it’s like to work at ZegoAt Zego, we operate like a high-performing sports team. We come together as one, driven by ambition, backed by real support, and united by a shared mission to win.Working here means having the backing, the coaching, and an inclusive community of Zegons across the UK and Europe who celebrate your wins and raise your game. It also means holding ourselves to high standards: moving with urgency, taking complete ownership, and embracing honest feedback that helps us continuously learn and evolve.This is your opportunity for a career-defining experience, and one you will own.Do not take our word for it. Read what Zegons say about us on Glassdoor.The Zego ways of workingTeams work better with time to collaborate and space to get things done. We call it Zego Hybrid: some of us are in our central London office weekly, others monthly or quarterly. It is about finding the balance between face time and focus that produces great work and a healthy life around it.We also make a point of getting everyone in the same room. Teams come together every quarter, and once a year the whole company does, properly. It is a serious investment and consistently one of the best parts of the year. Here is what the last one looked like.BenefitsMarket-competitive salary, benchmarked against your function and reviewed every yearAnnual performance bonus, linked to company performance and your contributionShare options, a real stake in the company and a share in the future you buildPrivate medical insurance, for you and your familyPension, generous holiday, and 1,000 a year to spend on getting to the office or learning something newCutting-edge systems and tools, so you always have what you need to drive your impactIf you’re ready to help build the real-time, data-driven infrastructure for an intelligent world, we want to hear from you.Zego, leading the AI evolution in insurance.There’s more to Zego than just a job. Check out our blog for insights, stories and more.We were also named Best Insurance Company 2025.We’re an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.Job SummaryID: E6033BA9A6Department: Data and EngineeringType: full time

Workplace: White City, London - HybridSoftware Engineer (Scala) — Core LevelWork within a cross-functional product or platform team across our User and Payments streaming domains to deliver and support robust, highly scalable microservices that meet the high-concurrency needs of ITV’s Streaming business (ITVX). At the Core level, you will focus deeply on the craft of software development, contributing independently to feature slices while actively collaborating with team members and building knowledge of domain architecture.Key ResponsibilitiesAs an IndividualWrite high-quality, clean, well-tested, and idiomatic functional code, primarily in ScalaAll features should include unit and integration tests to validate correct functioning Ensure code is peer-reviewed through constructive Pull Requests and actively participate in reviewing the work of others to catch defects and uphold standards.Focus on moving assignments smoothly from requirements definition through design to clean implementation deployed in production.As a Team & Community MemberEngage and collaborate with cross-functional agile teams (including FE devs, Product Managers, and Agile Delivery Managers and designers) Participate in sizing, backlog refinement, story breaking, and design sessions to define pragmatic technical solutions (such as negotiating MVPs rather than building over-engineered features under time crunch).Actively participate in the wider Scala/Backend Engineering community of practice (e.g., knowledge sharing via lightning talks or pairing).Work with and support Junior team members or apprentices to help them get up to speed and improve their skills.Operations & SupportTake a proactive stance toward operational health and observability, incorporating metrics collection and alertingMake use of feature flags where appropriateParticipate in daytime office-hours support rotas to maintain live service health.Participate in the mandatory out-of-hours/on-call rotationTechnical Skillset GuidelinesConfident Scala programming experience (commercial or equivalent diverse codebase experience) .Strong grasp of automated testing patterns (Unit testing, integration checking) .Distributed Version Control (Git).Familiarity with Functional Programming concepts (immutability, referential transparency, algebraic design) .Web services architecture knowledge (REST, , HTTP stack, JSON codecs)Familiarity with message brokers/event-driven boundaries (e.g., Apache Kafka) .Good understanding of local development tooling and environments.Experience working with payment platforms such as Stripe, Google Pay or Apple Pay.Experience with authentication standards such as OAuth 2.0 and working with JWT tokens.Nice to have, but not essential:Exposure to Pure FP ecosystems/libraries (Typelevel Stack / Cats / Cats-Effect) or Tagless Final patterns .Familiarity with relational databases (e.g., PostgreSQL) or caching stores (e.g., Redis) .Awareness of containerization (Docker) and basic cloud architecture (AWS) .Awareness of CI/CD principles and automated integration pipelines (GitHub Actions).Some familiarity with performance testing tools, e.g. GatlingFamiliarity with AI development tools (e.g. copilot)Familiarity with AI SDLC methods (e.g. SpecKit)Your work matters to millions. Shaping culture is in the DNA of ITV. So, it’s not surprising that you’ll find us in every home in the UK, our productions are famous all over the world and we’re at the forefront of the digital streaming revolution. When you join us, you enter a fun working environment. With opportunities to learn, to grow and make a real difference. Small enough that your impact’s felt in the business, but big enough that your impact reaches millions of people. Come develop your skills, change TV and the course of your career. Don’t just watch it. Be part of it. Join ITV. ITV is for everyone. ITV strongly encourages applications for this role from disabled people. As a Disability Confident Leader, if you meet the minimum criteria for a role and you have declared that you are disabled, we’ll guarantee to take you to the next stage (minimum criteria above). We're happy to discuss any support/personalisation you may need during our application and selection process as part of our reasonable adjustments. Drop us a line if you require anything at talkingcareers@itv.com. Find out more about applying with a disability. There may be a few exceptions where we are not able to take all eligible candidates to the next stage due to the volume of applications. Because those who make an impact deserve to be rewarded for it. ITV offers some great rewards and benefits including: Flexible working with a range of options to suit everyoneGenerous holiday allowance, plus you can buy moreAnnual bonus opportunityCompetitive pension contributionSave as you earn - with an opportunity to buy ITV sharesWellbeing and volunteering days plus a wide range of opportunities to help you live a balanced and healthy lifeMore about our benefitsFull timePosting Date: 2026-08-13

Want to change the way people watch TV? We are seeking an experienced Principal Product Manager in London to develop innovative on Low Latency Live Streaming digital video business opportunities for Prime Video customers.Prime Video is changing the way people watch sports, live TV, and movies available on over 10K devices.As a Principal Product Manager for the Video Playback team, you will help define and build the video playback roadmap and customer experience for low latency streaming across all platforms and geographies. You will participate in developing the video strategy and vision, and develop product roadmaps to execute on that vision. This role is inherently cross-functional; you will work closely with engineering, project management, design, operations, finance, legal, business development, customer service, content acquisition, and executive teams to bring products to market, develop and grow business opportunities, and enhance our customer experience.We are looking for someone with experience in one or more areas of core video playback (encoding, delivery, live broadcast, ads insertion, client playback), who is highly analytical, resourceful, customer focused, team oriented, and has the ability to work independently under time constraints to meet deadlines. You will also have a consistent track record in taking on end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment.Key job responsibilitiesIn this role you will:- Develop a deep understanding of the Prime Video customer, both existing and potential.- Develop a thorough understanding of the digital video market segments, and continually assess the competitive landscape and emerging industry trends.- Partner with key stakeholders to define the product vision, strategy, roadmap and supporting metrics required to deliver and enhance a best in class digital video customer experience.- Own the development of detailed product requirements documents.- Work cross-functionally with engineering, design, and project management teams to deliver on the product roadmap.- Drive projects, products, and feature launches with other teams both inside and outside of the Prime Video team including: business development, content acquisition, legal, marketing, finance, customer service, and operations.Basic qualifications- Experience owning/driving roadmap strategy and definition- Experience in technical product management, program management or engineering- Experience owning feature delivery and tradeoffs of a product- Experience with end to end product delivery- Experience leading engineering discussions around technology decisions and strategy related to a productPreferred qualification - Experience working directly with Engineers on product enhancements- Experience in project management methodologies, business analysis, or process improvementAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition.At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.You will:Drive the design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.Collaborating with cross-functional teams to define, design, and deliver new features.Proactively identifying opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.Ideally you’d have:5+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems.Experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.).Show a track record of mentoring and leading teams in successful projects.Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings.Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems.Nice to haves:Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).Experience scaling products at hyper-growth startups.Excitement to work with AI technologies.PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst& Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Senior Software Engineer (Backend / Full-Stack, AI-Native)About Us We're rethinking enterprise integration for developers and AI agents with a semantic layer: describe the data you need, and the platform gets it - fast, deterministic, secure, self-repairing, auditable, scalable. Already live with banks and financial institutions, and hiring to build the product further. You'll work across our data integration platform and our open-source schema language and ecosystem.What You'll Work On Mostly Kotlin backend, but everyone touches the full stack: the integration platform (streaming pipelines, query execution, API composition, schema resolution, running in production at real financial institutions); our open-source schema language (compiler, type system, query engine, no prior compiler experience needed); our AI agent built on Spring AI (greenfield work orchestrating integrations autonomously); and the frontend (mainly Angular, some React, no specialism required).What We're Looking For Kotlin, or strong modern Java 17+ with a willingness to learn; reactive streams experience (Flux, Mono, coroutines, backpressure); schema/type thinking (OpenAPI, Avro, Protobuf, or similar); event-driven architecture awareness (Kafka or RabbitMQ a plus); strong testing habits; clean, pragmatic code; curiosity and adaptability; full-stack willingness (Angular, React, Vue, or similar); active use of AI-assisted coding tools; strong written English for a distributed, mostly async team; and 5+ years of professional experience shipping production systems.How You'll Need to Work Autonomously, with context and support rather than daily assigned tickets; collaboratively, staying constructive when things break or priorities shift; with genuine customer empathy; openly, sharing your work internally and externally; and at startup pace, where some days are scrappy.Nice to Have Kafka or RabbitMQ experience, Angular/TypeScript specifically, deep Kotlin/JVM ecosystem knowledge, compiler or query engine experience, Spring AI or LLM agent experience, financial services background, or a blog/talks/open-source contributions.What We Offer GBP 70,000-90,000 salary plus early-stage equity, remote-first work (UK-friendly timezones) with occasional onsite office days roughly monthly, a budget for conferences and learning, and a hardware and tooling budget.Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy.To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Welcome to Warner Bros. Discovery… the stuff dreams are made of.Who We Are…When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.Warner Bros. Discovery (WBD) Sports Europe represents WBD’s portfolio of sports brands, channels, and platforms in Europe. It collectively engages 130 million people every month, reaching fans and broad audiences in more than 200 markets and in 20 languages across all platforms where consumers are spending time: free-to-air TV, pay-TV, streaming, online and social. WBD Sports Europe includes the much-loved consumer brands Eurosport and TNT Sports in the UK and Ireland, as well sports programming and content on WBD’s free-to-air TV networks and streaming on HBO Max. They connect audiences with the greatest sporting events in the world. This includes being the Home of the Olympics Games in Europe; tennis’ Grand Slams; cycling’s Grand Tours, more than 1,000 live cycling broadcasts per year, the WHOOP UCI Mountain Bike World Series; the PGA TOUR year-round in some markets; the FIM Endurance World Championship; The Ocean Race; the FIM Speedway GP and every major winter sports World Championship and World Cup event.Your new role... As Warner Bros. Discovery Inc’s portfolio continues to grow – around the world and across platforms – the Global Technology & Operations team is building media technology and IT systems that meet the world class standard for which Discovery is known. GT&O builds, implements and maintains the business systems and technology that are critical for delivering Warner Bros. Discovery’s products, while articulating the long-term technology strategy that will enable Warner Bros. Discovery’s growing pay-tv, digital terrestrial, free-to-air and online services to reach more audiences on more platforms. From Amsterdam to Singapore and from satellite and broadcast operations to SAP, we are driving Discovery forward on the leading edge of technology. You will mainly be involved on WBD Sports. The channels moved in a technology transformation for all his equipment home of all countries in Europe based on a hybrid architecture on premise and cloud. London and Paris team manage the engineering and support of this new group surrounded by two playout center and all the markets in Europe from Eurosport. If you’re not afraid by the new technologies and you want to be part of a dynamic and international team, join us in the heart of the channel sport broadcast in 22 languages. Your role accountabilities... As part of the M2P Engineering team, this role provides Tier 2 support and engineering expertise for MAM and post-production platforms within a virtualized hybrid on-premises and cloud environment. Support: Tier 2 support Manage tickets escalated from Level 0 and Level 1 support teams Coordinate incident and problem follow-up with internal and external teams Follow up update on platform day to day with the support Tier 1 Plan maintenance activities Upgrade phases and reboot action coordination Monitor and maintain the overall health and performance of the platform Engineering: Manage short-term engineering project Collaborate with tier3 engineering team Gather workflow requirements from WBD Sports, TNT Sports and Eurosport offices Produce workflow, project and engineering documentation Design centralized workflows across MAM and Post-Production platforms Support users through change management and new projects implementation Qualifications & Experiences.. Degree in Technology, Engineering, Broadcast, or a related field Fluent written and spoken English French language skills are desirable Strong communication skills Adaptability to work in a fast-paced and continuously changing environment Ability to perform effectively under pressure, particularly when supporting production teams during live events Self-motivated and collaborative team player with a strong commitment to delivering high-quality customer service Excellent troubleshooting, analytical and problem-solving skills Minimum of 3 years of experience in Broadcast Technology in a support or engineering role Experience in Sports, News, Production and Documentary environments Experience with MAM and Post-Production tools Extensive Broadcast technical background (IP video 2110, AES 67, NMOS, video and audio formats and codec…) Good understanding of IT technologies and the associated challenge (network, virtualization, storage, cloud services, security…) Monitor emerging technologies and industry trends to ensure systems remain efficient, scalable, and aligned with business growth Nice to have Basic scripting and development skills Knowledge of AWS services Knowledge of microservices architecture General Work on shift (evening and weekend) Night work may be required depending on live events On-call rotation Based in London, UK Minimal travel expected Permanent contract #TECHHybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office work, following our current company policy and to be agreed with your Line Manager. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you.How We Get Things Done…This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.Championing Inclusion at WBDWarner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.Job SummaryJob number: R000106490Profession: Technology

Senior Software Engineer (Backend / Full-Stack, AI-Native) \n About Us We're rethinking enterprise integration for developers and AI agents with a semantic layer: describe the data you need, and the platform gets it - fast, deterministic, secure, self-repairing, auditable, scalable. Already live with banks and financial institutions, and hiring to build the product further. You'll work across our data integration platform and our open-source schema language and ecosystem. \n What You'll Work On Mostly Kotlin backend, but everyone touches the full stack: the integration platform (streaming pipelines, query execution, API composition, schema resolution, running in production at real financial institutions); our open-source schema language (compiler, type system, query engine, no prior compiler experience needed); our AI agent built on Spring AI (greenfield work orchestrating integrations autonomously); and the frontend (mainly Angular, some React, no specialism required). \n What We're Looking For Kotlin, or strong modern Java 17+ with a willingness to learn; reactive streams experience (Flux, Mono, coroutines, backpressure); schema/type thinking (OpenAPI, Avro, Protobuf, or similar); event-driven architecture awareness (Kafka or RabbitMQ a plus); strong testing habits; clean, pragmatic code; curiosity and adaptability; full-stack willingness (Angular, React, Vue, or similar); active use of AI-assisted coding tools; strong written English for a distributed, mostly async team; and 5+ years of professional experience shipping production systems. \n How You'll Need to Work Autonomously, with context and support rather than daily assigned tickets; collaboratively, staying constructive when things break or priorities shift; with genuine customer empathy; openly, sharing your work internally and externally; and at startup pace, where some days are scrappy. \n Nice to Have Kafka or RabbitMQ experience, Angular/TypeScript specifically, deep Kotlin/JVM ecosystem knowledge, compiler or query engine experience, Spring AI or LLM agent experience, financial services background, or a blog/talks/open-source contributions. \n What We Offer GBP salary plus early-stage equity, remote-first work (UK-friendly timezones) with occasional onsite office days roughly monthly, a budget for conferences and learning, and a hardware and tooling budget. \n \n \n Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. \n To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

We're recruiting on behalf of our client for an experienced AV Engineering Manager to lead the delivery of enterprise AV services within a prestigious London-based organisation.Leading a team of AV Engineers, you'll be responsible for maintaining high service standards, managing technical escalations, supporting AV operations across multiple UK sites and driving continuous improvement. Working closely with the Client AV Manager, you'll ensure a reliable, high-performing AV environment while helping shape future technologies, processes and best practice.This is an excellent opportunity for an experienced AV leader looking to combine technical expertise with people management in a modern, enterprise AV environment.Description Key ResponsibilitiesSupport the Client AV Manager, who holds overall responsibility for UK Audio Visual operational services.Act as a key point of contact, ensuring effective communication between operational teams and senior management.Implement governance, processes and operational standards across the AV team.Maintain consistency across service delivery.Drive accountability and continuous improvement.Uphold high standards across all aspects of the AV service.Resolve complex, high-priority AV incidents, acting as the technical escalation point for the team.Manage and coordinate AV support across multiple UK sites.Provide technical leadership and guidance to engineers, assisting with complex troubleshooting and fault resolution.Plan, execute and verify software, firmware and system updates across AV devices and platforms.Carry out root cause analysis for recurring and complex AV issues.Coach, mentor and develop team members, encouraging continuous professional development.Set clear expectations, monitor performance and conduct regular performance reviews.Motivate and engage the team to maintain high morale and productivity.Delegate and prioritise workload to ensure efficient incident resolution and service delivery.Manage operational requests using structured project management methodologies, including planning, implementation, delivery and reporting.Identify opportunities to improve the client's AV service through new technologies, operational efficiencies and service enhancements.Experience & QualificationsMinimum of 5-7 years' experience in AV operations.At least 2-3 years' experience leading or supervising AV engineering teams within a corporate or enterprise environment.Advanced troubleshooting and problem-solving skills across enterprise AV systems.Experience managing AV support across multiple UK sites.Industry certifications such as CTS, CTS-D, CTS-I, Crestron, Extron, Q-SYS or equivalent are highly desirable.Technical SkillsCore AV TechnologiesStrong knowledge of AV control platforms including Crestron, Extron, AMX and Q-SYS.Expert understanding of Microsoft Teams Rooms, Zoom Rooms, Cisco Webex and Google Meet hardware.Advanced knowledge of DSPs including Biamp, Q-SYS and Shure.Experience supporting microphones, mixers, amplifiers and professional audio systems.Knowledge of LED walls, projectors, LCD displays and interactive displays.Experience supporting digital signage platforms.Understanding of live streaming, recording and content distribution technologies.Networking & InfrastructureStrong understanding of AV over IP technologies including Dante, NDI, SDVoE and HDBaseT.Good understanding of TCP/IP, VLANs, DHCP, DNS and QoS as they relate to AV systems.Software & Management PlatformsExperience using AV monitoring platforms such as Logitech Sync, Crestron XiO Cloud and Extron GlobalViewer Enterprise.Experience using ITSM platforms such as ServiceNow.Leadership & Soft SkillsStrong leadership and people management abilities.Experience mentoring and coaching technical teams.Excellent workload and resource management skills.Strong project management capability.Excellent verbal and written communication skills.Ability to communicate effectively with clients, senior stakeholders, IT teams and third-party vendors.Strong analytical and decision-making skills.Customer-focused approach with a commitment to delivering exceptional service.Excellent organisational and time management skills, with the ability to manage multiple priorities simultaneously.TPBN1_UKTJ

Company DescriptionWise is a global technology company, building the best way to move and manage the world’s money.Min fees. Max ease. Full speed.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.As part of our team, you will be helping us create an entirely new network for the world's money.For everyone, everywhere.More about our mission and what we offer.Job DescriptionAbout the roleWe’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.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.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.How we workScalable Growth is dedicated to building enabling technology that helps Wise acquire customers at the lowest possible cost.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.What will you be working on?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).Build the Unified Customer View: Productionize PoCs into scalable Airflow/dbt data workflows to lay the groundwork for our Customer Data Platform (CDP) datasets.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.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.Technical Scoping & Discovery: Take ownership of broad, ambiguous problem spaces. Uncover hidden challenges, propose robust architectural designs, and execute your own roadmap.Coach & Mentor: Elevate the data capabilities of software engineers in the squad through code reviews, architectural guidance, and hands-on mentoring.QualificationsQualificationsWhat do you need?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!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).dbt & Airflow Proficiency: Hands-on experience using dbt for scalable data transformations and Airflow for workflow orchestration.Data Architecture Mastery: A strong background in designing scalable, fault-tolerant data architectures, implementing data quality frameworks, and establishing production best practices.Product & Discovery Mindset: Ability to take a vague problem statement, independently uncover the requirements, scope project milestones, and drive solutions end-to-end.Cross-functional Stakeholder Management: Excellent communication skills with the ability to bridge tech, marketing, and analytics, turning marketing needs into crisp engineering roadmaps.Nice to Have:Experience with MarTech tooling or reverse ETL setups (e.g., HighTouch, Braze, vendor API integrations).Familiarity with modern AI/ML data integration practices.Background in fintech or fast-scaling tech platform environments.Additional InformationAdditional InformationInterested? Find out more:Wise Tech StackWise Engineering BlogEngineering career mapFor 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.We're proud to have a truly international team, and we celebrate our differences.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.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.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.We're proud to have a truly international team, and we celebrate our differences. 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.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.SummaryType: Full-timeFunction: EngineeringExperience level: Mid-Senior LevelIndustry: Financial Services

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.About the TeamThe DRW C/FICCO Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval.About the RoleIn this role you will:Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities.Take full ownership of data products, guiding them from initial concept through to stable production.Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability.Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems.Provide on-call support as needed.Qualifications:A minimum of 2+ years’ experience using at least one of Python, Java, and C++, and can work comfortably in multiple programming languagesA track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environmentsAbility to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexityExceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environmentExperience in the financial markets, especially in delta one, store of value, and/or FICC options tradingExperience with Linux-based, concurrent, high-throughput, low-latency software systemsExperience with pipeline orchestration frameworks (e.g. Airflow, Dagster)Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databasesHave a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experienceFor more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at . California residents, please review the California Privacy Notice for information about certain legal rights at .#LI-BL1

OverviewDue to some exciting growth here at Sportradar we are looking for a Trading Analyst to join our MTS team based in our Central London office.Our MTS (Managed Trading Service) is a liability management service for bookmakers and lotteries for both pre-match and live odds. The service delivers a complete risk management service for all events where our odds are offered. As a Trading Analyst you will be responsible for the daily operation of Sportradar's rapidly expanding Managed Trading Service (MTS).The OpportunityReal time monitoring of betting activity, Managing Risk and customer categorisation Creation and management of Sportradar's Pre-Match Odds Service Testing of trading platforms and continued quality assurance Effectively responding to betting operator queries Undertaking detailed analysis of Sport and betting market performance Data interrogation and creation of management ready reports Your profileExperience working in a similar role within sports or betting industry would be advantageous Extensive knowledge of core betting sports (UK, European and US) In-depth understanding of odds correlation between betting markets Exceptional math skills with good knowledge of Excel or SQL is required due to the analytical nature of the role.Strong articulation of analytical work.Excellent communication skills – both written and verbal Ability to work under pressure Flexibility to work with shift-based patterns Proficient in all Microsoft Office, specifically Word and Excel Ability to take immediate action in a fast-moving trading environment A highly self-motivated team player, able to work with new teams Our offerYou'll be surrounded by enthusiastic, sports betting industry experts 25 days holiday Regular office social Sports 24/7. If you like sports, we've got TVs streaming live footage of the world's biggest events! Competitive London salary (based on experience) Private health care Company pension plan Office in Central London Company Gym Membership scheme Please answer the below questions on your cover letter: What do you expect to be doing on a day to day basis as an Trading Analyst?Why do you think you are suited to this role? How do you see yourself contributing in this position? SummaryLocation: LondonType: Full time

Why Sony Interactive Entertainment?Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.Role Description:We are looking for an independent, dedicated Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency.What you’ll be doing:Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc.Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative modelsCollaborate with team members on drafting publications and patent submissionsParticipate and assist the team in core R&D work with other teams within Sony Interactive EntertainmentWhat we’re looking for:PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post5+ years of experience in demonstrable research experience in industry or academia.Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer),Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similarSolid background in one or more of the following:(i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design;(ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner;(iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similarDesired qualifications:Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similarSome theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracingExperience in image processing theory and methods, evidenced by the development of practical designs in this areaSome experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc.Benefits:Discretionary bonus opportunityHybrid Working (within Flexmodes)Private Medical InsuranceDental Scheme25 days holiday per yearOn Site GymSubsidised CaféFree soft drinksOn site barAccess to cycle garage and showersPlease note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.Equal Opportunity Statement:Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why Join DAZN?Joining DAZN in London means working at a global sports streaming business from one of the UK’s fastest-growing digital hubs. You’ll collaborate with smart, passionate people, move quickly, and help connect millions of fans to the sports they love. If you’re excited by working with a business growing at scale and the pace of live sport, DAZN is a great place to grow your career.The RoleYou'll own agency trading relationships across global and local deals, working closely with internal stakeholders to drive multi-market opportunities, develop commercial frameworks, and maximise revenue and margin. Partnering with Sales, Strategy, Marketing, Ad Operations and local market teams, you'll help shape pricing plans, support joint business planning, coordinate trading data and market insights, and deliver commercial solutions that meet partner needs while supporting DAZN's long-term growth. What You'll Be Doing:Lead global and local agency deals, mapping EMEA-based agency leads to drive multi-market opportunities with the Big 5.Phase in opportunities for local deals in FY27, working with the SVP Sales and VP Strategy to develop annual pricing plans that maximise revenue and margin.Collaborate with local market VPs on deal-based selling at scale, coordinating with Ad Ops, Sales and Marketing to develop deal solutions.Own day-to-day trading relationships and performance, partnering with senior stakeholders to manage forecasts, targets and revenue risks through market changes and seasonality.Lead JBP development, collaborating with internal stakeholders to create new assets that support long-term partnerships with DAZN.Support the Sales team with client QBRs and drive initiatives across all verticals.Support the sales marketing strategy and one-to-many engagements, improving commercial frameworks, trading tools and discounting.Coordinate trading data and market developments to provide regular, solution-focused insights, while understanding the media and competitor landscape to strengthen DAZN's USPs.What You'll Bring:Strong financial and commercial acumen is essential Experience in data-driven commercial strategy and trading Strong relationships and communication skills with agency trading partners and clients Ability to balance long and short term priorities Connectivity within the industry to define marketplace activity and competitor positioning Ability to think creatively with commercial opportunities to support partners needs’ Exceptional presentation skills An all-around good human BenefitsBenefits include access to DAZN, 25 days’ annual leave (increasing by 3 days after 3 years), private medical insurance, life assurance, pension contributions up to 5%, family friendly community including enhanced parental leave, electric vehicle benefit option, learning and development resources, opportunity for flexible working, and access to our internal speaker series and events.Department93-602 - Media - Ad SalesEmployment TypePermanent - Full TimeWorkplace typeHybrid

Legal Counsel, Compliance (Mid-Level, TMT & E-commerce) - 6 months \n \n About the Role \n \n Responsibilities \n \n\n • Day-to-day compliance support: Provide compliance advisory to business teams on TMT and e-commerce matters, including product launch reviews, platform governance strategy assessments, and interpretation of platform rules.\n, • Legal risk identification and management: Conduct compliance assessments for new businesses, products, and features; identify potential legal risks; and deliver actionable solutions and risk-mitigation recommendations.\n, • Regulatory research and monitoring: Independently research and analyse developments in overseas e-commerce regulation (e.g., platform liability, consumer protection, product/content governance, obligations of e-commerce platform operators), and provide interpretations and summaries to business teams.\n\n \n Qualifications \n \n\n • Education: Bachelor's degree or above in law from a reputable law school; LL.B / LL.M / J.D. preferred.\n, • Bar qualification: bar admission in one of the jurisdictions: PRC, England & Wales, US or other common law/civil law jurisdiction.\n, • Experience: 4–8 years of relevant experience, with a background in reputable law firms, or in-house legal/compliance team of a tech or e-commerce company.\n, • Professional expertise: Solid knowledge of e-commerce–related laws such as the E-commerce Law, Consumer Rights Protection Law, Advertising Law, and Anti-Unfair Competition Law, as well as major platform governance rules.\n, • Solid knowledge of regulations such as GDPR, DSA, and DMA.\n, • Solid knowledge of core TMT laws and regulations, including but not limited to the privacy, cybersecurity, telecommunication licensing, AI governance is preferred.\n, • Languages requirements: English and Chinese\n, • Chinese communication (core requirement): Must be able to communicate fluently in Chinese (spoken) to collaborate effectively with China-based business, product, and legal stakeholders.\n, • Hands-on experience with leading e-commerce platforms, cross-border e-commerce, live-streaming e-commerce, or social commerce.\n, • Experience in data compliance, platform governance, content compliance, or AI compliance projects.\n, • Strong commercial acumen, with the ability to translate legal analysis into practical, business-executable recommendations.\n\n \n \n

An exciting opportunity has arisen for an experienced Audio Visual Technician to join the onsite technical team at a prestigious, high-profile venue in Central London. \n Working as part of an established AV and events team, you will provide professional technical support across a busy environment encompassing meetings, conferences, presentations, hybrid sessions and live events. \n This is a hands-on position involving the setup, operation and maintenance of professional audio, video, lighting, conferencing and event production technology, alongside providing a first-class service to clients and internal stakeholders. \n \n Salary: Up to £34,5000 \n \n The Role \n As Audio Visual Technician, you will: \n -Set up, operate and dismantle professional AV equipment for meetings, conferences and live events. \n -Provide technical support across meeting rooms, conference spaces and larger live event environments. \n -Complete daily checks of AV-equipped rooms to ensure systems are fully operational and ready for use. \n -Provide first-line technical assistance to clients, including laptop connectivity, presentation systems, displays, Wi-Fi and video conferencing. \n -Set up and operate fixed and portable AV equipment across multiple event spaces. \n -Operate digital audio mixing consoles and set up wired and wireless microphone systems. \n -Provide audio feeds and technical support for filming and camera crews. \n -Support professional projection, video switching, PTZ camera and presentation systems. \n -Assist with video conferencing, hybrid events, live streaming and recording requirements. \n -Work alongside IT and technical teams regarding networking, LAN connectivity and event technology requirements. \n -Support lighting requirements, including DMX-controlled and automated lighting systems. \n -Move and allocate AV equipment between event spaces depending on operational requirements. \n -Assist with AV equipment inventory, stock control and general equipment management. \n -Troubleshoot AV faults and technical issues quickly and effectively. \n -Liaise with clients before and during events to understand and deliver their technical requirements. \n -Work alongside and provide technical guidance to third-party AV, production and staging contractors. \n -Maintain technical areas, equipment stores and AV control rooms to a professional standard. \n -Follow Health & Safety procedures and support the completion of risk assessments and safe working practices. \n -Identify and report technical, operational and safety issues when required. \n -Contribute to the continuous improvement of AV services, systems and event delivery. \n \n About You \n We are looking for someone with a strong technical AV background combined with excellent customer service skills. \n You will ideally have: \n -Professional experience working as an AV Technician, Event Technician, Venue Technician or similar. \n -Proven experience setting up and dismantling AV equipment within live event environments. \n -Strong knowledge of professional audio, video, projection and conferencing technology. \n -Experience operating digital audio mixing consoles. \n -Experience setting up wired and wireless microphone systems. \n -Knowledge of professional projection and video switching systems. \n -Experience operating PTZ camera systems. \n -Good understanding of video conferencing and collaboration technology. \n -Knowledge of live streaming, filming or recording workflows would be advantageous. \n -A good understanding of IT connectivity and LAN/networking fundamentals. \n -Knowledge of DMX and automated lighting systems. \n -Strong technical troubleshooting and fault-finding skills. \n -An understanding of Health & Safety requirements within an AV or live events environment. \n -Experience with risk assessments and safe systems of work. \n -Excellent communication and customer service skills. \n -The ability to remain calm and resolve technical problems in time-sensitive live environments. \n -Strong organisational skills and attention to detail. \n -The ability to work independently while contributing effectively as part of a wider technical team. \n \n Working Environment \n This is a hands-on, client-facing position within a busy professional events environment. You will regularly support a mixture of corporate meetings, conferences and live productions, so no two days will be exactly the same. \n Due to the nature of events, flexibility will be required around working hours, which may occasionally include early mornings, evenings and weekends. \n This is an excellent opportunity for an AV professional looking to develop their career within an established technical team while gaining exposure to a broad range of professional AV and live event technologies.

Role: Contract Technical Lead \n Programme: Azure Databricks Platform \n Industry: Commodities / Energy Trading \n Location: London (Hybrid) \n Contract: Initial 6-month contract (long-term transformation programme) \n Rate: £900-1000/day (Inside IR35) \n \n X4 Technology are partnered with a leading global energy trading organisation delivering a major transformation, centred on the migration from a legacy ETRM platform to Endur and the modernisation of their enterprise data landscape through Azure Databricks. \n \n As part of this multi-year programme, the business is migrating Oracle-based data platforms into Azure Databricks to create a scalable data platform supporting Endur, global reporting, analytics and risk, while reducing critical data latency from 10–15 minutes to near real-time. \n \n They're looking for an experienced Technical Lead to define the technical direction of the Azure Databricks platform, driving architecture, performance optimisation and engineering best practices across one of the organisation's most strategic cloud modernisation programmes. \n \n Responsibilities for the Contract Technical Lead – Azure Databricks Data Platform \n\n • Lead the architecture, design and delivery of scalable Azure Databricks data solutions, providing technical leadership from solution design through to production.\n, • Drive best practices across data engineering, platform architecture, governance, security and engineering standards, mentoring teams and influencing technical direction.\n, • Optimise Databricks performance, including Structured Streaming, Delta Live Tables and cloud cost efficiency.\n, • Partner with business stakeholders, architects and engineering teams to translate complex requirements into scalable, high-performance data solutions.\n, • Lead the migration of legacy enterprise data platforms into Azure Databricks, delivering a unified data platform for Endur, global reporting and analytics while shaping its long-term evolution.\n\n \n Requirements for the Contract Technical Lead – Azure Databricks Data Platform \n\n • Proven experience leading the design and delivery of enterprise-scale Azure Data Platform and Databricks solutions.\n, • Strong hands-on expertise with Azure Databricks, Structured Streaming, Delta Live Tables, PySpark, Python and SQL, with a focus on performance optimisation.\n, • Strong understanding of cloud data architecture, data governance, data quality and engineering best practices.\n, • Excellent leadership, stakeholder management and communication skills, with experience mentoring teams and driving technical delivery.\n, • Experience within energy trading, commodities, capital markets or wider financial services, with knowledge of trading data models and business processes highly desirable.\n\n \n This is an excellent opportunity share the technical direction of a business-critical Azure Databricks platform for one of the world's biggest names within energy trading. Interviews are being lined up from W/C 27th July, so please apply online for immediate consideration

\n Senior Media Engineer – Post-Production Support Location: London – Hybrid Contract: 12 months Pay rate: £352 per day PAYE Working pattern: Full-time, with occasional evening, weekend and out-of-hours support The Role\n We are recruiting an experienced Senior Media Engineer to support the post-production and live editorial operations of a leading global entertainment and streaming organisation. \n This role will sit within a specialist Post Production Services team responsible for supporting advanced editorial environments, media workflows, file-transfer processes and production technology used across film, television and live content. \n The successful candidate will combine strong post-production knowledge with hands‑on technical troubleshooting, excellent stakeholder support and the ability to remain calm in fast-moving production environments. Key Responsibilities\n \n • Provide high-quality technical and operational support to production, editorial and post-production users.\n, • Troubleshoot issues affecting media workflows, file transfers, editorial tools and post-production services.\n, • Monitor automated file transfers, production systems and workflow health through central operational dashboards.\n, • Proactively identify and resolve technical issues before they impact productions.\n, • Support footage ingest and automated ingest workflows.\n, • Provide specialist support for media library, dailies, VFX pulls, conform pulls and review and approval processes.\n, • Investigate failed or delayed media transfers and coordinate remediation.\n, • Support live editorial and remote production environments.\n, • Maintain clear documentation covering incidents, recurring issues, fixes and operational procedures.\n, • Collect feedback from production users and identify opportunities to improve tools and workflows.\n, • Partner with Product and Engineering teams to prioritise bug fixes, troubleshooting tools and service improvements.\n, • Support the testing, deployment and adoption of new production technology.\n, • Collaborate with regional Production Technology teams and provide local workflow knowledge and production context.\n, • Escalate complex issues appropriately and manage them through to resolution.\n Essential Experience\n \n, • At least three years’ experience in post-production support, media engineering, studio or network support, or process management within a post-production vendor.\n, • Strong understanding of content creation, on-set production and post-production processes.\n, • Experience supporting editorial or media production environments.\n, • Knowledge of dailies, media ingest, VFX pulls, conform processes and review and approval workflows.\n, • Experience troubleshooting complex media, file‑transfer or production technology issues.\n, • Strong stakeholder communication and client‑service skills.\n, • Ability to work independently and make decisions in high‑pressure environments.\n, • Strong organisational, prioritisation and incident‑management skills.\n, • Willingness to support productions outside standard office hours when required.\n Technical Skills\n Experience with a selection of the following tools and technologies is highly desirable: \n \n • Avid Media Composer\n, • Adobe Premiere Pro\n, • FilmLight Baselight\n, • Colorfront OSD\n, • Autodesk PIX\n, • Flow Capture\n, • Aspera\n, • Remote editorial and PCoIP technologies\n, • Live streaming and live editorial workflows\n, • Command-line tools\n, • APIs and basic API interaction\n \n Candidates should also have an understanding of: \n \n • JSON, XML and CSV data formats\n, • ALE, EDL, FDL and MHL/ASC‑MHL standards\n, • Colour science within editorial and post‑production workflows\n, • Local storage, shared storage, SAN and cloud‑storage environments\n, • Automated media‑transfer and content‑management workflows\n About You\n You will be: \n \n • Calm and solutions‑focused under pressure\n, • Proactive in identifying and preventing production issues\n, • Comfortable supporting demanding creative and technical stakeholders\n, • Able to explain complex technical issues clearly\n, • Highly responsive and service‑oriented\n, • Adaptable and quick to learn new tools and workflows\n, • Comfortable working independently and as part of a global team\n, • Available for occasional night, weekend and out‑of‑hours support\n \n This is an excellent opportunity for a media engineering or post‑production technology specialist to support high‑profile content within a technically advanced global production environment. \n #J-18808-Ljbffr

Project Engineer – Broadcast Headend (Encoding & Multiplexing) \n West London (Hybrid) \n Contract \n Broadcast Engineering | Video Compression | Headend \n Rates Negotiable \n \n Looking to work on one of Europe's largest broadcast platforms? \n \n I'm supporting a leading UK pay-TV broadcaster in the search for a Project Engineer to help deliver projects across its broadcast headend infrastructure. \n \n This is a hands-on engineering role focused on encoding, multiplexing and transport stream technologies, supporting a platform that delivers television services to millions of households across the UK and Ireland. \n \n What you'll be doing \n\n • Deliver end-to-end engineering projects across the broadcast headend, from design through to implementation and operational handover.\n, • Configure and support Ericsson/Tandberg (MediaKind) MX8400/MX400 multiplexers and Harmonic ProStream platforms.\n, • Build, validate and troubleshoot MPEG transport streams, including statistical multiplexing, SI/PSI, EPG data and conditional access.\n, • Plan and implement changes within a live 24/7 broadcast environment.\n, • Produce technical documentation, test plans, and implementation records.\n, • Investigate complex streaming and multiplexing issues using industry monitoring and analysis tools.\n, • Work closely with playout, distribution, satellite, and network engineering teams.\n\n \n What we're looking for \n\n • Experience with Ericsson/Tandberg/MediaKind multiplexers and/or Harmonic ProStream.\n, • Strong understanding of MPEG-2/H.264, DVB standards and transport stream architecture.\n, • Experience delivering engineering projects in live broadcast environments.\n, • Knowledge of conditional access and scrambling workflows.\n, • Experience using transport stream analysis and monitoring tools.\n\n \n Desirable: \n\n • Experience with a broadcaster, pay-TV platform, managed service provider or broadcast technology vendor.\n, • Exposure to IP video transport (SMPTE 2022/2110), multicast or virtualised headend technologies.\n, • Satellite/DTH distribution experience.\n\n \n Why apply? \n You'll join a highly experienced engineering team responsible for one of Europe's most significant broadcast headend estates, working on both existing infrastructure and next-generation platform evolution. It's an opportunity to own technically challenging projects that directly support services watched by millions every day. \n \n Interested? Get in touch for a confidential discussion or apply with your latest CV to receive the full technical brief and client details.

New Contract Opportunity for an eDV Cleared Data Scientist with an Industry-Leading National Security Consultancy in London. \n \n\n • Active eDV Required\n, • Up to £680 p/d Inside IR35\n, • 12-month engagement\n, • Urgent requirement - ASAP start\n, • 5 days on site in central London\n\n \n The Role: \n You will develop mission-critical data solutions for National Security clients. You will contribute to advanced projects across AI, cybersecurity, cloud, big data and digital transformation, helping to shape the future of national security. Working with datasets of varying scale, you will cleanse, integrate and analyse data to enable faster, more informed decision-making that supports the safety of the nation. \n \n Key Responsibilities: \n\n • Design and deliver data science solutions in support of national security operations.\n, • Develop and optimise pipelines to process large, complex datasets.\n, • Apply machine learning and statistical methods to generate actionable insight.\n, • Produce clear visualisations to communicate results to stakeholders.\n, • Work within agile teams to deliver robust, scalable systems.\n, • Support cloud deployments and integration into live operational environments.\n\n \n Seeking Experience in most of the following: \n\n • Python or similar scripting languages for data exploration and preparation.\n, • Machine learning and statistical methods, including model validation.\n, • Data analytics and visualisation techniques.\n, • Processing large datasets using batch or streaming tools such as Apache Spark.\n, • Data acquisition and fusion approaches.\n, • Cloud platforms (ideally AWS) and cloud-based data science solutions.\n, • DataOps principles and practices.\n, • Structured and unstructured databases.\n, • Container technologies, including Docker and Kubernetes.\n, • Agile delivery methods.\n, • Software engineering best practice, including version control and CI/CD pipelines.\n, • Linux environments.\n\n \n Why Apply? \n\n • Work on mission-critical UK Government projects with real-world impact\n, • Join a leading consultancy known for innovation and technical excellence\n, • Long-term engagement with competitive day rate and secure on-site environment\n\n

Senior Product Manager, Data Business | PE-backed, profitable, scaling fast. Turn a world-class data set into a data business. \n \n Turn world-class intelligence into products the smartest money in the world pays for \n We're partnering with a profitable, private equity-backed data intelligence business that is opening up its proprietary data to an entirely new kind of customer. Hedge funds, investment banks and analysts making high stakes, high value calls, who need the best data in the market to make them. \n \n The intelligence is already exceptional. The opportunity now is to package it, price it, and pipe it directly into the workflows of the world's most sophisticated financial users. That's the job. This is a hands on, high ownership role for someone who has genuinely sold data before and wants to build a data business from the inside, with the autonomy of an early build and the stability of a company that is already very profitable. \n \n What you'll own \n \n You'll own the data product strategy end to end. How the data gets packaged into products people pay for, how it's priced, and how it's delivered through modern channels like APIs, data sharing and connectors. \n \n You'll spend real time with customers in London, work closely with a product and engineering team based in Europe to turn what you learn into shipped product, and help stand up the commercial plumbing behind it all, from usage metering to billing. \n \n By the end of your first year, success looks like real paying customers live on the new data products, with the next one already in build. \n \n What we're looking for \n \n\n • You've built and commercialised actual data products. Streaming APIs, data feeds, data sharing setups, the real thing, not just a web app with a dashboard.\n, • You've owned pricing. You understand how data gets packaged, sold and billed, and you've done it, not just watched it happen.\n, • You've worked inside a data or market intelligence business. Think financial data vendors and intelligence providers. You know how these products are set up and how sophisticated customers actually use them.\n, • You're autonomous. You can operate as the person on the ground, running your own discovery, outreach and priorities without waiting to be told.\n, • You use AI fluently in how you work, and you're strong on the fundamentals: customer discovery, validation, and fast iterative prototyping.\n, • Insurance or specialist-market knowledge is a nice-to-have, not a requirement. The data mindset matters far more.\n\n \n The details \n \n\n • Seniority: Senior Product Manager, roughly 6+ years in product with significant time on data products\n, • Location: London, hybrid, around 2 days a week in the office and out meeting customers\n, • Travel: Regular trips to the wider product and engineering team in Europe, roughly monthly at first, easing off after you've embedded\n, • Reporting to: The Product and Engineering Lead, who reports to the CEO\n\n \n We champion the best people, regardless of background \n \n We know that exceptional product managers come from all walks of life and that great talent doesn't always fit into a neat set of bullet points. If you are a passionate builder who cares deeply about AI engineering and user craft, we want to hear from you. Please apply even if you don't match every single preferred criteria listed above.

\n Global Banking Markets - Software Engineer, Data Platform - London - Vice President Job Description\n GLOBAL MARKETS \n Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor. \n Job Description \n Data Platform team is responsible for platform architecture development to provide scalable, resilient, performant, adaptable stack that meet the evolving needs of different business lines globally. \n As a senior member of team & owner of core system in post-trade stack, will be responsible for full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring. We expect high degree of ownership, adaptability to embrace newer technologies and adherence to high degree of software quality. Responsibilities\n \n • Design, build and maintain a high-performance, high-availability, high-capacity, scalable, near real-time yet nimble and adaptive platform for processing & persisting high volumes of business critical data and distribute it to downstream applications post-trade processing.\n, • Develop highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems.\n, • Design distributed computation infrastructure to run parallelized queries over large volumes of data.\n, • Design and develop an AI-powered UI/agent framework that delivers intelligent analytics and insights over the data we process and hold, enabling users to interrogate and derive value from large-scale datasets.\n, • Communication with business, client applications, Regulatory & Compliance teams about new feature requests, explanation of existing features etc.\n Required Qualifications & Skill-Sets\n \n, • About 5-10 years of professional experience developing high performance, low latency systems ( sub-seconds )\n, • Ability to contribute & drive on complex industrial scale development of systems independently\n, • Thorough knowledge of Java programming concepts\n, • Strong knowledge of object oriented programming, data structures, algorithms and design patterns\n, • Experience in Developing High Available, Low Latency systems with low foot-print – awareness of JVM internals, performance optimizations, concurrency, tuning for low-latency, GC-free real-time operation\n, • Exposure to stack like HDFS/S3, SingleStore, Kafka/Streaming Message System, Flink/Distributed Processing, Java/Scala\n, • Strong communication skills and the ability to work in a team and at the same able to drive things independently\n, • Strong analytical and problem solving skills\n ABOUT GOLDMAN SACHS\n At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. \n We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. \n We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html \n Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info\n \n • Job Identification 180703\n, • Job Category Vice President\n, • Posting Date 08/03/2026, 03:04 PM\n, • Locations London, Greater London, England, United Kingdom\n Healthcare & Medical Services\n We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally Benefits\n \n • We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.\n, • We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.\n, • We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.\n, • To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).\n, • We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.\n, • Read more about the full suite of class-leading benefits our firm has to offer.\n, • Learn More\n \n #J-18808-Ljbffr

\n JOB TITLE: Motion Editor \n DEPARTMENT: Creative Services \n REPORTS TO: Senior Art Director \n \n OVERALL PURPOSE OF THE ROLE \n The Motion Editor will focus on concepting, creating and editing moving image content for Jimmy Choo’s various channels - from campaigns, social media, editorial, marketing assets and company films. You will be a skilled visual storyteller and brand champion, a creative problem-solver, capable of juggling multiple briefs at any one time. You will help to shape Jimmy Choo’s moving image content and use your knowledge to inspire our loyal customers whilst also capturing the attention of potential new customers. This role is ideal for someone who has strong experience in the luxury fashion landscape. \n KEY RESPONSIBILITIES AND DUTIES \n\n • Lead the post-production process/editing on all creative video projects\n, • Oversee that quality is being maintained across all edits within the team, ensuring that our deadlines are met and all deliverables for the website and social channels are exported in the correct specs, sent to the right people and archived in the right folders\n, • Ability to manage and prioritise multiple projects in a fast-paced environment and meet deadlines\n, • Comfortable animator who can create or edit motion graphics in After Effects\n, • Work closely with the Social Media team to develop and create engaging, trend-led content that supports brand and commercial objectives\n, • Optimise video content for platform-specific best practices, audience engagement and performance\n, • Ingest, transcode and prep incoming footage for use in Adobe Premiere projects\n, • Utilise your passion for music and engage your network of libraries and composers\n, • Work closely with the Creative Services team and VP Brand Image\n, • Actively participate in new idea sessions with team and stakeholders\n\n \n SKILLS, EXPERIENCE AND QUALIFICATIONS \n\n • Experience across all areas of editing - including assembly, sound design, colour grading\n, • Ability and confidence to direct projects yourself\n, • Capabilities to self-shoot some projects\n, • Knowledge of live streaming\n, • Experience editing and animating content for Instagram, TikTok, Twitter, Facebook, and YouTube or other online platforms & websites\n, • Good visual communication skills - strong design sense with work to demonstrate\n, • Strong communication skills, both verbal & written\n, • Bachelor’s degree or relevant qualification in a related field\n, • Experience working for a retail/fashion brand or ad agency is a plus\n, • Minimum 5+ years video editing experience\n, • Excellent communication skills and the ability to build strong relationships across the business\n, • Knowledge of developing films and motion graphics using the Adobe Creative Suite, including Adobe After Effects, Adobe Premiere\n, • Knowledge of digitizing/ importing audio and video footage\n, • Keep up to date with the latest trends and techniques in video, film and visual storytelling\n, • A passion for film and excellent references and a keen interest in social media trends are a must\n, • Someone interested in working on a broad range of content\n, • Keen eye for detail\n\n \n CHARACTERISTICS REQUIRED \n\n • Ability to work efficiently in a fast-paced environment to meet tight deadlines\n, • Must be able and willing to work well in a team environment\n, • Self-motivator, creative thinker & problem solver\n, • Excellent coordination, organisation & prioritisation skills\n, • Enjoys working in teams as well as independently\n\n

An exciting opportunity has arisen for an experienced Audio Visual Technician to join the onsite technical team at a prestigious, high-profile venue in Central London. Working as part of an established AV and events team, you will provide professional technical support across a busy environment encompassing meetings, conferences, presentations, hybrid sessions and live events. This is a hands-on position involving the setup, operation and maintenance of professional audio, video, lighting, conferencing and event production technology, alongside providing a first-class service to clients and internal stakeholders.The Role As Audio Visual Technician, you will: Set up, operate and dismantle professional AV equipment for meetings, conferences and live events. Provide technical support across meeting rooms, conference spaces and larger live event environments. Complete daily checks of AV-equipped rooms to ensure systems are fully operational and ready for use. Provide first-line technical assistance to clients, including laptop connectivity, presentation systems, displays, Wi-Fi and video conferencing. Set up and operate fixed and portable AV equipment across multiple event spaces. Operate digital audio mixing consoles and set up wired and wireless microphone systems. Provide audio feeds and technical support for filming and camera crews. Support professional projection, video switching, PTZ camera and presentation systems. Assist with video conferencing, hybrid events, live streaming and recording requirements. Work alongside IT and technical teams regarding networking, LAN connectivity and event technology requirements. Support lighting requirements, including DMX-controlled and automated lighting systems. Move and allocate AV equipment between event spaces depending on operational requirements. Assist with AV equipment inventory, stock control and general equipment management. Troubleshoot AV faults and technical issues quickly and effectively. Liaise with clients before and during events to understand and deliver their technical requirements. Work alongside and provide technical guidance to third-party AV, production and staging contractors. Maintain technical areas, equipment stores and AV control rooms to a professional standard. Follow Health & Safety procedures and support the completion of risk assessments and safe working practices. Identify and report technical, operational and safety issues when required. Contribute to the continuous improvement of AV services, systems and event delivery.About You We are looking for someone with a strong technical AV background combined with excellent customer service skills. You will ideally have: Professional experience working as an AV Technician, Event Technician, Venue Technician or similar. Proven experience setting up and dismantling AV equipment within live event environments. Strong knowledge of professional audio, video, projection and conferencing technology. Experience operating digital audio mixing consoles. Experience setting up wired and wireless microphone systems. Knowledge of professional projection and video switching systems. Experience operating PTZ camera systems. Good understanding of video conferencing and collaboration technology. Knowledge of live streaming, filming or recording workflows would be advantageous. A good understanding of IT connectivity and LAN/networking fundamentals. Knowledge of DMX and automated lighting systems. Strong technical troubleshooting and fault-finding skills. An understanding of Health & Safety requirements within an AV or live events environment. Experience with risk assessments and safe systems of work. Excellent communication and customer service skills. The ability to remain calm and resolve technical problems in time-sensitive live environments. Strong organisational skills and attention to detail. The ability to work independently while contributing effectively as part of a wider technical team.Working Environment This is a hands-on, client-facing position within a busy professional events environment. You will regularly support a mixture of corporate meetings, conferences and live productions, so no two days will be exactly the same. Due to the nature of events, flexibility will be required around working hours, which may occasionally include early mornings, evenings and weekends. This is an excellent opportunity for an AV professional looking to develop their career within an established technical team while gaining exposure to a broad range of professional AV and live event technologies.TPBN1_UKTJ

At Places for People, we hire People, not numbers! So, if you like the sound of one ofour jobs, please apply - you could be just who we're looking for! Of course, experience and track record are important, but we're more interested in hiring someone that embodies our People Promises. That's someone that does the right thing, is enthusiastic and motivated to grow, believes in Community spirit, is respectful and enjoys their work. As the UK's leading Social Enterprise we're dedicated to creating inclusive and thriving Communities for both our Customers and Employees.So, what are you waiting for? Join a community that cares about you!More about PfPMany organisations offer interesting work. Few offer the opportunity to improve lives at scale. At Places for People, we're creating thriving communities, providing homes, support, and opportunities that help people live healthier, happier, and more successful lives. For those who want their work to deliver meaningful impact beyond commercial outcomes, this is a chance to combine professional excellence with genuine social purpose.More about the teamThe Data and Platform Engineering team are the foundation for the Data Office function. Responsible for designing, building, and maintaining PfP's data platform we extract data from source, transform it into a usable format, load it into consumer models and marts and build and manage the infrastructure to do all this work.Data Engineering are transforming the way PfP consumes data. Having transitioned from On Premise to Google Cloud we are in the process of building a leading-edge Data Mesh platform. This is an exciting time to join a growing business function, with the opportunity to make your mark defining the architecture of the data platform and the con tinued development of the data engineering function.The Role of the Data ArchitectThe Data Architect occupies a pivotal position within our data engineering team, driving both strategic and enabling initiatives. This individual is instrumental in ensuring that our data platform supports decentralisation, in line with data mesh principles. Furthermore, the Data Architect guarantees that our data products are interoperable, well-governed, and consistently aligned with both enterprise standards and the overarching data platform.Key ResponsibilitiesData Platform Architecture Design: Overseeing the comprehensive design of the data platform's architecture, ensuring it meets current and future needs.Architectural Documentation: Producing clear, detailed architectural documentation and diagrams tofacilitateunderstanding and implementation.Domain-Oriented Ownership: Embedding a domain-oriented ownership model and fostering a Data as a Product (DaP) mindset across all development efforts.Tool and ServiceEvaluation: Assessing and recommending the most suitable tools, infrastructure, and services to enhance the platform.Architectural Standards:Establishingand maintaining architectural standards, reference architectures, and best practices throughout the team.Governance: Designingsolutions that uphold governance, security, and quality requirements.Data Product Design Standards: Ensuring that data products are discoverable, interoperable, and trustworthy, adhering tohigh standards.Data Pipeline Design: Designing robust data pipelines, including batch, event-driven, and streaming architectures.Operational Considerations: Addressing operational concerns such as security, scalability, performance, observability, and user experience.Collaboration and Advisory FunctionsThe Data Architect works closely and collaboratively with the Principal Data Platform Engineer and the Principal Data Engineer to architect and develop the data platform. In this capacity, the DataArchitect acts as a trusted advisor on data strategy and platform direction, providing valuable input on data capabilities and trade-offs, and making significant contributions to the development of the data roadmap.In addition, the Data Architect partners with domain squads,assistingthem in designing robust data products and providing architectural designs and technical guidance. The role also encompasses the mentorship of engineers and analysts in areas such as data modelling, integration, and design best practices, thus strengthening the overall technical capability of the team.At Places for People, we arecommitted to a safe working environment so a basic DBS check is mandatory.Profile OverviewAs an experienced and talented Data Solutions Architect, youpossessa proventrack recordalongside hands-on cloud platformexpertisespanning Google Cloud Platform, Azure, or AWS. Your innovative approach is characterised by a commitment to researchingemergingtechnologies, ensuring the most effective solutions areidentifiedfor any given challenge. When faced with problems, youdemonstratelogical thinking, systematically breaking them down into actionable outcomes and documenting your proposals comprehensively.Ownership and LeadershipYou are recognised for taking ownership and responsibility, proactively advancing the data platform whilemaintaininga vigilant stance to minimise risks consistent with business appetite. Your strong understanding of building robust data mesh architectures is complemented by thorough knowledge of data security and GDPR requirements.Collaboration and CommunicationYour engagement with the broader data community enables you to gain valuable insights into their needs, fostering trusted relationships across IT and throughout the business. Your ability to communicate clearly and concisely with non-technical stakeholders ensures they fully understand theobjectives, rationale, andmethodologybehind proposed solutions.Drive and MentorshipSelf-motivated and equipped with excellent leadership skills, you consistently drive innovation and actively mentor team members, further enhancing the capabilities and cohesion of your team.Exper ience & SkillsExperi ence as a Data Solutions Architect or similar role with strong track record .Goodunderstanding of Google's Big Query platform.Expertise in data platform architecture, configuratio n , and optimisation with a focus on MPP databases like Google BigQuery .Strong knowledge of data mesh principles, database design, data warehousing concepts, and ETL/ELT processes.Exceptional problem solving andanalytical skills with an eye for identifying opportunities for improvement.Excellentcommunication skills both written and verbal with the ability to explain in detail technical solutions to engineers and at high level to non-technical executivesWe are a large diverse and ambitious business, which will give you all the challenge you could wish for.We know thatthere'salways more we can do to make you smile,that'swhy we offer a comprehensive benefits package with each role, yours will include:Competitive salary, with a salary review yearlyPension?with matched contributions up to 7%Excellent holiday package 35 days annual leave?with theoptionto buy or sell leaveCashback plan for healthcare costs up to £500 saving per yearA bonus scheme for all colleagues at 2%Training and?developmentExtra perks including huge discounts and offers from shops, cinemas and much?more.What's next?If you meet the criteria and are ready to make the next step in your career then click apply. You will be redirected to our careers site where you can discover more about the role, read a full job description and apply directly to us.As part of ourcommitment to diversity and inclusion, we offer a guaranteed interview to candidates who are disabled, neurodiverse, or have served in the Armed Forces, provided they meet the essential criteria for the role. If you would like to be considered under this scheme, please indicate this in your application. We are dedicated to creating a supportive and accessible recruitment process for all.We are committed to creating an inclusive and accessible recruitment process. If you require any reasonable adjustments to support your application or interview experience, please let us know. We're happy to work with you to ensure you have the opportunity to perform at your best.If you are a Places for People customer and you're looking for support with your application, please contact our skills and employment team on .W e understand the importance of a supportive and inclusive work culture so please talk to us at interview about flexibility you may need. We can't promise to give you exactly what you want, but we promise not to judge you for asking. For this role we are open to discussing the possibility of reduced hours, flexible start and finish times or compressed hours.If you are a recruitment agency please note we operate a PSL and do not take cold callsSafeguardingAt Places for People, safeguarding is everyone's responsibility. We are committed to creating safe communities for our customers and colleagues by protecting children, young people, and adults at risk from harm, abuse, and neglect.We follow robust safeguarding policies and procedures, ensuring all employees, volunteers, and contractors uphold the highest standards of safeguarding and accountability. Our recruitment process includes pre-employment checks, including Disclosure and Barring Service (DBS) checks where applicable, to promote a safe and secure working environment.By joining Places for People, you are expected to contribute to our safeguarding culture, following our policies and reporting concerns to protect those in our communitiesTPBN1_UKTJ

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.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.Joining the AI Strategy, Research & Enablement team, you'll help shape the future of AI across the organisation. Working at the intersection of cutting-edge research and real-world commercial application, you'll turn innovative ideas into scalable capabilities that influence products, platforms, and long-term strategy. You'll collaborate with senior leaders and contribute to decision-making across data science, engineering, and product, helping to prioritise and advance the right AI investments for the future.We're looking for a Senior Research Data Scientist to play a key role in developing dunnhumby's next-generation models across a range of strategic AI initiatives. As part of this newly formed team, you'll focus on advanced modelling, long-term capability building, and cross-industry collaboration. You'll design new approaches, build and test prototypes, support engineering teams with productionisation, and contribute to partnerships with academia and external research organisations.What you'll be doing:Drive the design, experimentation, and evaluation of transformer-based models on retail based challenges.Explore innovative architectures (e.g., sequence-to-sequence models, causal transformers, hybrid retrieval + transformer approaches) to deliver step-change improvements in personalisation, recommendations, and forecasting.Develop research-grade prototypes and collaborate with engineers to translate them into scalable, production-ready solutions.Conduct forward-looking research on generative AI, multimodal learning, and representation learning.Identify emerging AI/ML techniques with high potential for retail and consumer analytics, shaping conceptual prototypes and feasibility assessments.Drive internal thought leadership by defining standards, sharing knowledge, and advising product, engineering, and data science teams on ML adoption and best practices.Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications.Mentor other data scientists and contribute to growing organisational capability in deep learning and advanced ML.Partner closely with internal teams to ensure research pathways are aligned with available tooling and future platform strategy.Document best practices and contribute to reusable assets, libraries, and internal frameworks.What we expect from you:Expertise in transformer architectures (e.g., BERT, GPT, T5, Time Series Transformers).Strong hands-on experience with modern deep learning frameworks (PyTorch preferred).Solid grounding in machine learning fundamentals and statistical modelling.Familiarity with distributed training and GPU acceleration.A track record of delivering impactful models in production or research settings.Ability to take ambiguous research ideas and shape them into structured investigations or prototypes.Curiosity and a learning mindset - tracking state-of-the-art advancements and evaluating their relevance.Strong data manipulation and engineering skills (e.g., PySpark, SQL, cloud-based data tooling).Strong communication skills, capable of explaining complex ideas to technical and non-technical audiences.Collaborative approach to working with ML engineers, product managers, academic partners, and leadership stakeholders.A passion for turning cutting edge modelling ideas into practical business impact.A mindset that blends scientific curiosity with real-world pragmatism.Enthusiasm for shaping the next generation of AI capabilities at dunnhumby, both through hands-on modelling and strategic influence.Nice to haveExperience in retail, CPG, recommendations, or customer behaviour modelling.Engagement with academic research (publications, workshops, industry collaborations).Familiarity with vector databases, embeddings, and retrieval techniques.Experience Working on large datasets (efficient loading, batching, and streaming) and related tooling (PySpark preferred).What you can expect from usWe 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.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.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.Our approach to Flexible WorkingAt 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.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.For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)TPBN1_UKTJ

Job SummaryID: 460D450881Department: Platforms & Music, Music LabelType: full time. Moonbug brands extend far beyond the screen to include streaming music, toys, games, books, live events, and even theme park exhibits. London, Camden | Office based | Benefits including Free Private Healthcare, Enhan

Location: London (UK)Department: EngineeringHours: Full-timeAbout YLD:YLD is a software engineering and product design consultancy, founded in 2013, headquartered in London, with delivery teams in Lisbon and Porto.We work with engineering and product leaders who know what good looks like and are frustrated by the gap between strategy and execution. We embed senior engineers and designers inside client teams, working in their codebase, their tooling, their delivery rhythm. AI runs through how our teams work, and we help clients adopt it into their own workflows too.About the role:We're building out data as a first-class practice at YLD, and we need someone in London who can be the credible technical voice in front of clients and prospects, not just describing what we could do, but backing it with real delivery experience.This is a senior role, reporting to our Head of Engineering. You'll sit alongside our commercial and client services leadership in meetings where technical credibility matters, help shape and win new engagements, and stay close enough to client work to guide it and step in yourself when an engagement needs you. Alongside, we expect you to build our external reputation in data through events, writing, and the wider community.About you:You've been a strong data engineer or data lead for years, and you're comfortable in front of a client as well as in a pull request. You know what good data work looks like well enough to spot it, or its absence, in the first ten minutes of a client conversation. You've probably led a team before. Consultancy background is a strong plus, but not essential if you've got real client or stakeholder exposure elsewhere.You don't need an existing public profile in the data community, but you'll need the appetite to build one and the technical depth to make it credible when you do.Your day-to-day responsibilities will look like this:Hands-on delivery (core, from day one)Doing hands-on data engineering work directly, pipelines, transformation layers, models, and the infrastructure around them, not just guiding othersAdapting to different client contexts: legacy warehouse migrations, greenfield lakehouses, transformation layers that need rescuingGuiding the wider team and unblocking hard technical problems as your remit grows beyond your own deliveryDefining and evolving our internal standards for data work: testing, documentation, project structure, code reviewMentoring and growing data engineers across the companyClient and commercial (core, from day one)Joining client and prospect meetings as the technical authority on data, alongside our client services and commercial leadsShaping proposals and pitches, translating client problems into a credible data approach and a defensible scopeActing as the escalation point on live data engagements when technical judgement calls need weight behind themTravelling to client sites for workshops, discovery sessions, and in-person relationship building, and representing YLD at external data eventsPractice, talent, and external profile (growth, over the first year)Owning the growth of YLD's data practice: capability, reputation, and headcount over timeContributing to attracting and hiring strong data engineers into YLDRepresenting YLD at data events and in the wider community as your standing in the market buildsSupporting our sales team so that data becomes something we can proactively sell, not just respond toYou'll have the following skills and experience:Leadership and commercialConsulting or agency experience is a strong plus, but real client or stakeholder-facing exposure elsewhere is acceptableA track record of technical leadership: leading a team or functionComfortable presenting to senior client stakeholders and holding your own under commercial pressureCross-functional fluency: you translate engineering constraints into business terms and negotiate realistic commitmentsAppetite to build a public presence in the data community over time, even if you don't have one yetTechnicalNot theoretical, evidenced by things you've actually shipped, and deep enough to set the bar for a team and answer a sceptical client:SQL as engineering: read and review SQL that performs at scale, and understand query planning, engine quirks, and how materialisation choices affect cost and performance well enough to guide a team's decisionsPython for data: built and maintained production data systems in typed, testable Python, not just notebooks, and can set that standard for othersData modelling: made deliberate choices between dimensional, Data Vault, normalised and denormalised designs, and can explain the trade-offs in flexibility, query performance, and maintainability to both engineers and clientsTransformation architecture: design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scriptsPipeline design: weigh batch, streaming, and micro-batch trade-offs against latency, complexity, cost, and reprocessability, and pick the right approach for the problemData testing: know what to catch at build time (schema contracts, assertions, transformation logic) versus defer to observability, and can make that call for a teamData observability: treat data reliability like site reliability, with measurable indicators, alerting, incident response, and root cause analysisCI/CD for data: version, test, and deploy pipelines like software, with environment promotion, rollback strategies, and infrastructure as codeData governance: implemented lineage, cataloguing, sensitive data classification, or access control, and can hold a client to account on making data auditable and secureCost-conscious: optimised warehouse spend, storage strategies, or job efficiency, and treat compute as a resource to manage, not ignorePlatform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)AI Native: experienced in agentic coding workflows (context, harness, loop, and graph engineering), and able to embed AI Engineering constructs into pipelines (RAG, semantic search, evals, guardrails, etc)You should apply if:Confident and credible in front of clients and prospects, without needing a script, and comfortable holding a firm technical or commercial line when a client or prospect pushes backStill able to hold up in a deep technical review today, architecture, data modelling, pipeline design, not just talk about decisions you made a few years agoSelf-motivated, and want to own building a practice, not just execute a workstream someone else has defined, and comfortable without a fully defined remit from day oneAble to work well with commercial and client services colleagues who aren't technical themselves, translating for them without talking downGenuinely energised by variety: different clients, different stacks, different problems, rather than depth in one domainHappy travelling regularly, client sites, workshops, industry events, wherever the work and the relationship-building actually happensLooking for a role that combines hands-on delivery with client-facing exposure and external visibility (speaking, writing, community), not just one of theseBenefits you’ll receive:Company Private Health care (currently provided by Vitality)Enhanced fully paid maternity and paternity leave for up to 6 monthsCompany's Pension Scheme25 days annual holiday (excluding Public Holidays)2000 annual allowance for Training/Conferences300 annual allowance for additional hardwareMental Health supportBonus (depending on Company performance and results)Company laptopGenerous referral schemesOur typical Recruitment Process looks like this:Screening call with the Talent team (45-60 mins)Technical conversation with our Head of Engineering and a senior data specialist (60 mins)Scenario exercise with our Head of Engineering, Head of Client Services and COO (60–90 mins)Get a glimpse of what it's like working at YLD! ð³Check out our LinkedIn pageWe live and breathe our values, and know you will too:Growing every dayIncluding everyoneRelationships built on honesty and ethicsInspiring solutionsWinning togetherWe’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.

DescriptionMethods Analytics (MA) is recruiting for a Data Architect to join our team a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Architect: Advocate the business benefit of data standards, championing and governing those standards across projects and the organisation Demonstrate an overall perspective on business issues and activities, determining patterns, standards, policies, roadmaps and vision statements Make and guide effective decisions, explaining clearly how decisions have been reached and resolving technical disputes across varying levels of complexity and risk Communicate effectively across organisational, technical and political boundaries, making complex technical information accessible for non-technical audiences Design how to expose data from systems (APIs, real-time streams), link data from multiple systems, and deliver modern data services Ensure that risks associated with deployment are adequately understood and documented Design end-to-end data solutions from requirements through implementation, including technical documentation and architecture blueprints Lead complex data migration projects from legacy systems to modern cloud-native platforms Evaluate and recommend appropriate technologies across the modern data stack to meet specific client needs Mentor junior team members and collaborate with data engineers, software engineers, data scientists, and business stakeholders Your Impact: Enable transformative business decisions through robust, scalable data architectures Drive adoption of modern data platforms and AI-enabled analytics solutions Establish technical standards and architectural patterns that ensure quality, security, and maintainability Help cultivate a data-driven culture within client organisations and internally Deliver architectures that seamlessly integrate traditional and modern data systems RequirementsYou Will Demonstrate: Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric) Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models Excellent relational database design skills with expertise in diagnosing and optimising performance across SQL Server, PostgreSQL, and cloud databases Proven track record with complex data migration projects (terabyte+ datasets, multiple legacy source systems, structures and unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding of Lambda and Kappa architectural patterns and when to apply each You May Also Have: Exposure to high-performing, low latency or large volume data systems Knowledge of and/or experience with Government Digital Service practices across Discovery/Alpha/Beta/Live phases Understanding of vector databases and similarity search for AI applications Experience with Infrastructure as Code and modern DevOps practices Knowledge of how to design and analyse operational logs for data processing, and triage incidents Awareness of advances in AI technologies, data services, and architectural practices Industry specialisation in specific sectors (Engineering, Manufacturing, Healthcare etc.) Public sector or defence experience Experience with modern unified data platforms like Databricks or Microsoft Fabric Understanding of data mesh or data fabric architectural approaches Relevant industry certifications such as TOGAF 9, CDMP (Certified Data Management Professional), or Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK – Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview.Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application ReviewInitial Phone ScreenTechnical InterviewCollaborative Technical ExerciseFinal InterviewOfferBenefitsWorking at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight, and technical excellence to provide our customers an end-to-end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process – but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought-provoking leadership A supportive and collaborative environment As well as this, we offer: Annual two-day technical hackathon bringing together all technical teams for innovation and collaboration Monthly Engineering & Architecture Community of Practice event Bi-annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Private Medical Insurance which is non-contributory (spouse and dependants included) Worldwide Travel Insurance which is non-contributory (spouse and dependants included) Discretionary Company Bonus based on company and individual performance Life Assurance of 4 times base salary Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Wellness 24/7 Confidential employee assistance programme Social - office parties, pizza Friday and commitment to charitable causesJob SummaryID: 126F70B47CDepartment: Capabilities, IT - Data & AI, IT - AI - AnalyticsType: full time

Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at any time and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. About the role The Prime Video & Studios Research Services team is looking for a Research Operations Analyst to join our operations team supporting customer-focused primary research across global markets. You'll be part of the engine that makes research happen, owning the technical execution of surveys from programming through to deployment, managing panel operations, and helping build AI-powered tools that automate our reporting workflows. You will partner closely with Consumer Insights researchers, Data Science, and cross-functional stakeholders to ensure research is fielded on time, to spec, and at the highest quality. This is a hands-on role for someone who thrives on operational excellence, has a passion for research methodology, and wants to be at the intersection of research and technology. Key job responsibilitiesIn this role you will: - Own end-to-end survey operations: programming, sampling, deployment, quality assurance, and data delivery - Support panel activities: recruitment, maintenance, and engagement across global markets - Monitor fielding progress, troubleshoot issues, and manage vendor relationships to keep studies on track - Maintain and improve operational processes, documentation, and templates - Contribute to AI-powered automation tools that improve research reporting and operational efficiency Basic qualifications- Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines, or experience with end-to-end project management- Bachelor's degree in a relevant field or equivalent work experience- Experience in research operations, survey programming, large multi-market quantitative studies, or market research project management- Hands-on experience with survey platforms (e.g. Qualtrics, SPSS)- Experience managing sampling plans, quotas, and panel operations- Comfortable with crosstabs, data cleaning, and basic analysisPreferred qualification - Experience working with a major brand or entertainment company in project/production management- Experience in areas such as market research, statistics, finance or qualitative/quantitative research- Experience conducting research on a global scale- Familiarity with tools such as SPSS, Python, Excel macros, or markdown-based workflows is a plus- Knowledge of television and media research (e.g. concept testing, content testing, series maintenance studies)- Proficiency in an additional language is a plus (Spanish, Portuguese, Italian, French, German, Japanese, Swedish, or Dutch)Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The LIVE Operations team is obsessed with everything to do with TikTok LIVE. From content strategy, monetization, gifting, LIVE features, data analysis, creating campaigns and ensuring a fun and safe space for all of our LIVE users.The LIVE Operations team is looking for an an enthusiastic LIVE Agency Operations Manager to build strategic, successful, long-term relationships with agencies.Responsibilities:- Identify and establish potential cooperations with agencies, MCNs and organisations who focus on live-streaming and content creators.- Manage internal and cross-functional projects across the live-streaming agency ecosystem,- Support the creation of LIVE operations policies, contracts, education tools and terms for agencies while working with cross-functional teams globally.- Guide the existing agency portfolio across operational topics such as education, training and shared operational services.- Provide strategic guidance to agencies with regards to variety and quality of content verticals.Minimum Qualifications:- Fluency in Serbian and English, to effectively manage Serbian-speaking agencies.- Experience with influencers, celebrities or live-streaming platforms.- Proven experience managing agencies and dealing with stakeholders.- Proficiency in strong data analysis skills and comfortable in a high-growth environment.Preferred Qualifications:- Minimum 4 years of experience related to, comparable to, or relevant to the live-streaming or entertainment industry (including influencers marketing, content creation, advertising agency).Req ID: A50594

Moonbug is also a global leader in pre-school music and audio experiences, available on 100+ audio platforms globally. Moonbug brands extend far beyond the screen to include streaming music, toys, games, books, live events, and even theme park exhibits. The Role:We are looking for an experienced Ani

The LIVE Operations team is looking for an an enthusiastic LIVE Agency Operations Manager to build strategic, successful, long-term relationships with agencies. Manage internal and cross-functional projects across the live-streaming agency ecosystem,- Support the creation of LIVE operations policies

What we’re looking forGreat AI and machine learning capability only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap—taking the AI/ML solutions developed within our Data Science team from promising prototypes to robust, scalable production systems that our teams and customers depend on every day.Sitting within Data Science, this is at heart a hands-on AI/ML engineering role. Your primary focus will be productionising Generative AI and agentic systems—building the APIs, tools, integrations and workflows that let LLMs, and agents operate reliably at scale. You will also support the broader range of machine learning models and pipelines across the business. You will be the key partner working hand in hand with Engineering, DevOps and Infrastructure teams to bring our models and systems into production—owning the technical journey of making AI/ML systems live, stable, secure and performant.As a senior member of the Data Science team, you will set the standard for production readiness, act as the bridge between data science and the wider engineering organisation, drive delivery across teams, and mentor colleagues. Your work will directly determine how quickly and confidently Argus can bring new AI/ML capabilities to life.What will you be doingDelivery & EngineeringDesign and build robust, secure APIs and backend components that power AI/ML, GenAI and agentic applications.Engineer agentic systems—integrating LLMs with tools, data sources, and business workflows into reliable, production-grade pipelines.Drive systems from prototype to production, owning reliability, scalability, and operational readiness.Raise code quality, structure, and production readiness across the AI/ML stack.Debug and resolve issues across APIs, environments, and integrations, ensuring rapid response times and minimal disruption.Collaboration & PartnershipAct as the primary technical partner between Data Science and the Engineering, DevOps and Infrastructure teams, taking solutions from development through to live deployment.Advise and support colleagues across the business whose systems integrate with AI/ML and agentic components.Proactively resolve technical ambiguity to reduce delivery friction and rework, ensuring a smooth handover from prototype to production.Technical Leadership & EnablementEstablish and evolve engineering standards for productionising AI/ML, including testing, observability, versioning, and release management.Mentor and guide data scientists and engineers, providing code reviews and hands-on technical support.Champion a culture of disciplined engineering, continuous improvement, and operational excellence within Data Science.Skills and ExperienceEducationA degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related technical discipline—or equivalent hands-on experience. An MSc or PhD is welcome but not essential.Essential Experience & SkillsExceptionally strong Python programming skills, with a deep grasp of object-oriented design, clean code, and core software engineering principles (e.g. SOLID, design patterns, modularity, testability).Strong backend / API engineering experience, ideally in Python (e.g. FastAPI, or similar).Hands-on experience building and operating solutions in AWS environments.Proficiency with Docker, GitHub, and CI/CD pipelines.Proven ability to partner with and work across teams to drive delivery into production.Strong problem-solving, debugging, and performance optimisation skills.Solid software engineering foundations, including version control, automated testing, and monitoring.DesirableExperience building or productionising agentic AI systems—tool use, orchestration, multi-step reasoning, or agent frameworks (e.g. LangGraph, LangChain, CrewAI, AutoGen, or similar).Experience with GenAI / LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation).Exposure to MCP (Model Context Protocol) and tool-based / function-calling architectures.Experience deploying and operating machine learning models / MLOps pipelines (e.g. model serving, monitoring, retraining workflows).Experience with real-time / streaming systems.What’s in it for youOur rapidly growing, award-winning business offers a dynamic environment for talented, entrepreneurial professionals to achieve results and grow their careers. Argus recognizes and rewards successful performance and as an Investor in People, we promote professional development and retain a high-performing team committed to building our success.Competitive salary and company bonus schemeGroup pension schemeGroup healthcare and life assurance schemeHybrid working environment (currently three days in office)25 days annual holiday with incremental increase up to 30 daysSubsidised gym membershipSeason ticket travel loanCycle to work schemeFlexible benefits platform (ability to buy additional medical cover, life assurance, dental cover, holiday, critical illness, travel insurance & health screening)Extensive internal and external training

This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Title: Java Developer Location: London About the Job you are considering: The Senior Java Developer with 8 years experience will play a key role in the strategic replacement of a legacy clearing platform by designing developing and delivering robust scalable interfaces and integration services using modern cloud native architecture principles The role is responsible for building high performance Java based microservices that enable secure resilient and efficient data exchange across critical clearing and post trade systems Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Key Responsibilities: • Design develop and maintain Java based microservices to support the replacement of the legacy clearing platform, • Build and enhance interfaces and APIs that enable secure reliable and high-volume integration between clearing settlement and downstream systems, • Develop event driven solutions using Apache Kafka including producers consumers and streaming integrations to support near Realtime processing, • Deploy manage and troubleshoot containerised applications on the OpenShift Container Platform, • Collaborate with Solution Architects and Technical Leads to implement target state architectures aligned with enterprise standards and cloud native design principles, • Participate in the full software development lifecycle including requirements analysis solution design development testing deployment and production support, • Create and maintain RESTful APIs and service contracts ensuring scalability security and backward compatibility, • Write clean maintainable and testable code while adhering to coding standards design patterns and secure development practices, • Develop automated unit integration and end-to-end tests to ensure solution quality and minimise production defects, • Support CICD pipelines by integrating build test deployment and quality assurance processes within the software delivery lifecycle, • Monitor application performance investigates production issues and implement improvements to optimise system resilience throughput and latency, • Work closely with Business Analysts Product Owners QA Engineers and infrastructure teams to translate business requirements into technical solutions, • Conduct peer code reviews provide technical guidance to junior developers and promote software engineering best practices across the team Produce and maintain technical documentation covering solution designs APIs integration patterns operational procedures and deployment processes • Contribute to platform modernisation initiatives by identifying opportunities to improve architecture automation observability security and operational efficiency across the clearing technology lands _ We are a Disability Confident Employer: Capgemini is proud to be a _under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: • Declare they have a disability, and, • Meet the minimum essential criteria for the role. Please opt in during the application process. Make It Real (what does it mean for you): • You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. • You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more., • You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of. Why you should consider Capgemini: Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | _

This job is with Wise, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. 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. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about and . 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. 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. 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. What will you be working on?: Building, scaling, and maintaining the integrity layer of our label platform for Risk ML models. Defining, implementing, and monitoring statistical fundamentals and key quality metrics for data and labels. Designing automated audit processes to evaluate and monitor label quality over time. Working end-to-end on machine learning model training, evaluation, and pipeline deployment. Collaborating closely with cross-functional partners across Risk Intelligence, Data Engineering, and Product. Qualifications What do you need?: Education: A degree in STEM (Computer Science, Mathematics, Statistics, Physics, Chemistry, Electrical Engineering, or a related quantitative field). Statistical Integrity: Strong mathematical and statistical fundamentals with a proven track record of applying statistical analysis to complex data environments. ML Lifecycle Expertise: Hands-on experience working across model training, evaluation, and deployment (utilizing frameworks around Machine Learning, AI, Neural Networks, or NLP). Programming Skills: Strong proficiency in Python or Java for data scripting and production engineering, alongside advanced SQL capability. Data Fundamentals: Solid hands-on experience building static data pipelines, conducting deep-dive data analysis, and using data visualization tools to understand statistical behavior. Nice to Have: Proven success in competitive machine learning environments or platforms (e.g., Kaggle, KDD competitions, or Google Summer of Code / GSoC). Experience with specialized ML architectures such as Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), or Transformers/LSTMs. Familiarity with real-time streaming data pipelines (e.g., Kafka). Domain experience within Fintech, E-commerce, or fast-scaling tech companies. Additional Information Interested? Find out more: _ DEI @ Wise Wise Tech Stack (2025 update) See what it's like to work at Wise London! Our Engineering career map Wise Engineering – _ What do we offer: Starting salary: £87,500 – £111,000 + stock equity grants (RSUs vesting over 4 years) + benefits. Wise Benefits 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. #LI-AB3 #LI-Hybrid 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. We're proud to have a truly international team, and we celebrate our differences. 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. If you want to find out more about what it's like to work at Wise visit _. Keep up to date with life at Wise by following us on and .

Help us teach AI to understand live sport. We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Q to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. At Sky, we're building AI that turns live video and sports data into real-time insights, personalised experiences and entirely new ways for fans to engage with sport. We're looking for a Principal ML Engineer to help lead that journey. Role/Team overview : You’ll join a team building AI that understands sport, not another recommendation engine. Our work turns live video and sports data into products and experiences used by millions of fans. What you'll do: • Act as the technical authority for a key area of our Sports AI platform, setting direction and making the big technical calls., • Shape architecture and guide how we build production-ready AI systems for live video and sports data at scale., • Lead complex AI work from idea through to production, staying hands-on when the technical challenge needs it., • Guide and influence senior engineers and data scientists through technical leadership, mentoring and design reviews., • Raise engineering standards across quality, reliability, scalability and production readiness., • Build credibility through deep technical expertise rather than line management responsibility. What you'll bring: Essential criteria: • Deep expertise in Computer Vision, Deep Learning and production machine learning systems., • Experience operating at Lead, Staff or Principal Engineer level, with a track record of technical ownership and influence., • Proven ability to take complex AI systems from concept to scalable, reliable production services., • Strong judgement across model design, system architecture, engineering trade-offs and low-latency inference., • A hands-on approach to solving difficult technical problems and unblocking teams when it matters. Desirable skills and experience: • Experience with sports data, video analytics, real-time insight platforms or a passion for sport. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here’s a taster: Free Sky TV or NOW package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you’ll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Osterley Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there’s plenty of space to see your big ideas come to life. Here you’ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there’s free onsite parking available for cars, motorbikes and bicycles. Who we are We’re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We’re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search #LifeAtSky on social media.

Senior Media Engineer – Post-Production Support Location: London – Hybrid Contract: 12 months Pay rate: £352 per day PAYE Working pattern: Full-time, with occasional evening, weekend and out-of-hours support We are recruiting an experienced Senior Media Engineer to support the post-production and live editorial operations of a leading global entertainment and streaming organisation. This role will sit within a specialist Post Production Services team responsible for supporting advanced editorial environments, media workflows, file-transfer processes and production technology used across film, television and live content. The successful candidate will combine strong post-production knowledge with hands‑on technical troubleshooting, excellent stakeholder support and the ability to remain calm in fast-moving production environments. • Provide high-quality technical and operational support to production, editorial and post-production users., • Troubleshoot issues affecting media workflows, file transfers, editorial tools and post-production services., • Monitor automated file transfers, production systems and workflow health through central operational dashboards., • Proactively identify and resolve technical issues before they impact productions., • Support footage ingest and automated ingest workflows., • Provide specialist support for media library, dailies, VFX pulls, conform pulls and review and approval processes., • Investigate failed or delayed media transfers and coordinate remediation., • Support live editorial and remote production environments., • Maintain clear documentation covering incidents, recurring issues, fixes and operational procedures., • Collect feedback from production users and identify opportunities to improve tools and workflows., • Partner with Product and Engineering teams to prioritise bug fixes, troubleshooting tools and service improvements., • Support the testing, deployment and adoption of new production technology., • Collaborate with regional Production Technology teams and provide local workflow knowledge and production context., • Escalate complex issues appropriately and manage them through to resolution., • At least three years’ experience in post-production support, media engineering, studio or network support, or process management within a post-production vendor., • Strong understanding of content creation, on-set production and post-production processes., • Experience supporting editorial or media production environments., • Knowledge of dailies, media ingest, VFX pulls, conform processes and review and approval workflows., • Experience troubleshooting complex media, file‑transfer or production technology issues., • Strong stakeholder communication and client‑service skills., • Ability to work independently and make decisions in high‑pressure environments., • Strong organisational, prioritisation and incident‑management skills., • Willingness to support productions outside standard office hours when required. Experience with a selection of the following tools and technologies is highly desirable: • Avid Media Composer, • Adobe Premiere Pro, • FilmLight Baselight, • Colorfront OSD, • Autodesk PIX, • Flow Capture, • Aspera, • Remote editorial and PCoIP technologies, • Live streaming and live editorial workflows, • Command-line tools, • APIs and basic API interaction Candidates should also have an understanding of: • JSON, XML and CSV data formats, • ALE, EDL, FDL and MHL/ASC‑MHL standards, • Colour science within editorial and post‑production workflows, • Local storage, shared storage, SAN and cloud‑storage environments, • Automated media‑transfer and content‑management workflows You will be: • Calm and solutions‑focused under pressure, • Proactive in identifying and preventing production issues, • Comfortable supporting demanding creative and technical stakeholders, • Able to explain complex technical issues clearly, • Highly responsive and service‑oriented, • Adaptable and quick to learn new tools and workflows, • Comfortable working independently and as part of a global team, • Available for occasional night, weekend and out‑of‑hours support This is an excellent opportunity for a media engineering or post‑production technology specialist to support high‑profile content within a technically advanced global production environment. #J-18808-Ljbffr

Help us teach AI to understand live sport.Working in Tech, Product or Data at Sky is about building the next and the new.From broadband to broadcast, streaming to mobile, Sky Q to Sky Glass, we never stand still.We turn big ideas into the products, content and services millions of people love.And we

Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor. Data Platform team is responsible for platform architecture development to provide scalable, resilient, performant, adaptable stack that meet the evolving needs of different business lines globally. As a senior member of team & owner of core system in post-trade stack, will be responsible for full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring. We expect high degree of ownership, adaptability to embrace newer technologies and adherence to high degree of software quality. • Design, build and maintain a high-performance, high-availability, high-capacity, scalable, near real-time yet nimble and adaptive platform for processing & persisting high volumes of business critical data and distribute it to downstream applications post-trade processing., • Develop highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems., • Design distributed computation infrastructure to run parallelized queries over large volumes of data., • Design and develop an AI-powered UI/agent framework that delivers intelligent analytics and insights over the data we process and hold, enabling users to interrogate and derive value from large-scale datasets., • Communication with business, client applications, Regulatory & Compliance teams about new feature requests, explanation of existing features etc., • About 5-10 years of professional experience developing high performance, low latency systems ( sub-seconds ), • Ability to contribute & drive on complex industrial scale development of systems independently, • Thorough knowledge of Java programming concepts, • Strong knowledge of object oriented programming, data structures, algorithms and design patterns, • Experience in Developing High Available, Low Latency systems with low foot-print – awareness of JVM internals, performance optimizations, concurrency, tuning for low-latency, GC-free real-time operation, • Experience in Distributed, Stream processing systems handling large volume ( big data ) in near real-time, • Exposure to stack like HDFS/S3, SingleStore, Kafka/Streaming Message System, Flink/Distributed Processing, Java/Scala, • Strong communication skills and the ability to work in a team and at the same able to drive things independently, • Strong analytical and problem solving skills At the company, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html The the company Group, Inc., 2023. All rights reserved. the company is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. • We offer Best-In-Class BenefitsHealthcare & Medical Insurance, • We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance., • We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year., • We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities., • We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices., • To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount)., • We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at the companyRead more about the full suite of class-leading benefits our firm has to offer.Opportunity OverviewsitemapoutlineCORPORATE TITLEVice PresidentlanguageOFFICE LOCATION(S)LondonassignmentJOB FUNCTIONSoftware EngineeringaccountbalanceDIVISIONGlobal Banking & Markets #J-18808-Ljbffr

GLOBAL MARKETS Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor. Job Description Data Platform team is responsible for platform architecture development to provide scalable, resilient, performant, adaptable stack that meet the evolving needs of different business lines globally. As a senior member of team & owner of core system in post-trade stack, will be responsible for full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring. We expect high degree of ownership, adaptability to embrace newer technologies and adherence to high degree of software quality. • Design, build and maintain a high-performance, high-availability, high-capacity, scalable, near real-time yet nimble and adaptive platform for processing & persisting high volumes of business critical data and distribute it to downstream applications post-trade processing., • Develop highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems., • Design distributed computation infrastructure to run parallelized queries over large volumes of data., • Design and develop an AI-powered UI/agent framework that delivers intelligent analytics and insights over the data we process and hold, enabling users to interrogate and derive value from large-scale datasets., • Communication with business, client applications, Regulatory & Compliance teams about new feature requests, explanation of existing features etc., • About 5-10 years of professional experience developing high performance, low latency systems ( sub-seconds ), • Ability to contribute & drive on complex industrial scale development of systems independently, • Thorough knowledge of Java programming concepts, • Strong knowledge of object oriented programming, data structures, algorithms and design patterns, • Experience in Developing High Available, Low Latency systems with low foot-print – awareness of JVM internals, performance optimizations, concurrency, tuning for low-latency, GC-free real-time operation, • Exposure to stack like HDFS/S3, SingleStore, Kafka/Streaming Message System, Flink/Distributed Processing, Java/Scala, • Strong communication skills and the ability to work in a team and at the same able to drive things independently, • Strong analytical and problem solving skills At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. • Job Identification 180703, • Job Category Vice President, • Posting Date 08/03/2026, 03:04 PM, • Locations London, Greater London, England, United Kingdom We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally • We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year., • We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities., • We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices., • To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount)., • We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available., • Read more about the full suite of class-leading benefits our firm has to offer., • Learn More #J-18808-Ljbffr

GLOBAL MARKETS Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor. Job Description Data Platform team is responsible for platform architecture development to provide scalable, resilient, performant, adaptable stack that meet the evolving needs of different business lines globally. As a senior member of team & owner of core system in post-trade stack, will be responsible for full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring. We expect high degree of ownership, adaptability to embrace newer technologies and adherence to high degree of software quality. • Design, build and maintain a high-performance, high-availability, high-capacity, scalable, near real-time yet nimble and adaptive platform for processing & persisting high volumes of business critical data and distribute it to downstream applications post-trade processing., • Develop highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems., • Design distributed computation infrastructure to run parallelized queries over large volumes of data., • Design and develop an AI-powered UI/agent framework that delivers intelligent analytics and insights over the data we process and hold, enabling users to interrogate and derive value from large-scale datasets., • Communication with business, client applications, Regulatory & Compliance teams about new feature requests, explanation of existing features etc., • About 5-10 years of professional experience developing high performance, low latency systems ( sub-seconds ), • Ability to contribute & drive on complex industrial scale development of systems independently, • Thorough knowledge of Java programming concepts, • Strong knowledge of object oriented programming, data structures, algorithms and design patterns, • Experience in Developing High Available, Low Latency systems with low foot-print – awareness of JVM internals, performance optimizations, concurrency, tuning for low-latency, GC-free real-time operation, • Exposure to stack like HDFS/S3, SingleStore, Kafka/Streaming Message System, Flink/Distributed Processing, Java/Scala, • Strong communication skills and the ability to work in a team and at the same able to drive things independently, • Strong analytical and problem solving skills At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. • Job Identification 180703, • Job Category Vice President, • Posting Date 08/03/2026, 03:04 PM, • Locations London, Greater London, England, United Kingdom We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally • We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year., • We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities., • We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices., • To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount)., • We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available., • Read more about the full suite of class-leading benefits our firm has to offer., • Learn More #J-18808-Ljbffr

Why Join DAZN?Joining DAZN in London means working at a global sports streaming business from one of the UK’s fastest-growing digital hubs. You’ll collaborate with smart, passionate people, move quickly, and help connect millions of fans to the sports they love. If you’re excited by working with a business growing at scale and the pace of live sport, DAZN is a great place to grow your career.The RoleJoin DAZN's Commercial team and play a key role in driving advertising and sponsorship revenue across one of the world's most exciting sports media businesses. You'll own relationships with agencies and brands, develop strategic account plans, and create integrated commercial solutions that deliver against ambitious sales targets. Working cross-functionally with teams across the business, you'll identify new opportunities, build bespoke pitches and market insights, manage the sales pipeline from prospecting to close, and represent DAZN with clients and at key industry events. What You'll Be Doing:Drive advertising and sponsorship revenue against quarterly and annual sales targets Own agency & brand relationships as the primary contact; keep the pipeline moving from prospecting to close Develop strategic account plans to grow existing business and unlock new opportunities Design and pitch integrated solutions (OTT/Linear, sponsorships, branded content, social, programmatic) with cross‑functional partners Drive operational excellence with disciplined CRM, reliable forecasting, and proactive issue resolutions with partner teams Be a first point of contact for any challenges, negotiations or objections Develop your own sales collateral and bespoke market intelligence, win/loss learnings, and category playbooks in partnership with cross functional teams Represent the company at industry events, client meetings and networking opportunities What You'll Bring:2-3 years' experience in a commercial or sales-oriented environment Experience in TV/OTT/digital media sales Customer centric approach to sales Hunger for closing new business Operational discipline in pipeline and forecast management Strong objection handling skills A very proactive mindset and approach to sales An all-around good human BenefitsBenefits include access to DAZN, 25 days’ annual leave (increasing by 3 days after 3 years), private medical insurance, life assurance, pension contributions up to 5%, family friendly community including enhanced parental leave, electric vehicle benefit option, learning and development resources, opportunity for flexible working, and access to our internal speaker series and events.Department93-602 - Media - Ad SalesEmployment TypePermanent - Full TimeWorkplace typeHybrid

New Contract Opportunity for an eDV Cleared Data Scientist with an Industry-Leading National Security Consultancy in London. Active eDV RequiredUp to £680 p/d Inside IR3512-month engagementUrgent requirement - ASAP start5 days on site in central London The Role:You will develop mission-critical data solutions for National Security clients. You will contribute to advanced projects across AI, cybersecurity, cloud, big data and digital transformation, helping to shape the future of national security. Working with datasets of varying scale, you will cleanse, integrate and analyse data to enable faster, more informed decision-making that supports the safety of the nation. Key Responsibilities:Design and deliver data science solutions in support of national security operations.Develop and optimise pipelines to process large, complex datasets.Apply machine learning and statistical methods to generate actionable insight.Produce clear visualisations to communicate results to stakeholders.Work within agile teams to deliver robust, scalable systems.Support cloud deployments and integration into live operational environments. Seeking Experience in most of the following:Python or similar scripting languages for data exploration and preparation.Machine learning and statistical methods, including model validation.Data analytics and visualisation techniques.Processing large datasets using batch or streaming tools such as Apache Spark.Data acquisition and fusion approaches.Cloud platforms (ideally AWS) and cloud-based data science solutions.DataOps principles and practices.Structured and unstructured databases.Container technologies, including Docker and Kubernetes.Agile delivery methods.Software engineering best practice, including version control and CI/CD pipelines.Linux environments. Why Apply?Work on mission-critical UK Government projects with real-world impactJoin a leading consultancy known for innovation and technical excellenceLong-term engagement with competitive day rate and secure on-site environment

The Enterprise Data Architect will define and evolve the enterprise data architecture to support the firm’s business strategy, technology roadmap and product/platform operating model, ensuring data is treated as a strategic asset and is fit for analytics, reporting, operational decisioning and AI use cases.A key part of the role is shaping and embedding a data product operating model (clear ownership, lifecycle management and governance of data products) in support of the wider product and platform model, in collaboration with the Data & AI team.Main duties and responsibilitiesThe role holder will line manage two Data Architects and will work alongside Business Architects, Enterprise Architects and Enterprise Integration Architects to shape the end-to-end target state. Working with colleagues across Data, AI, Engineering, Security and Product and Platform teams, the role defines the vision, principles, standards and reference architectures, and guides delivery teams to implement scalable, governed and reusable solutions.Develop and communicate the enterprise data architecture vision and strategy, aligned to business priorities and the technology roadmap, in support of the firms broader data & AI strategy.Define and embed the target-state data platform and data product architecture (including metadata, lineage and governance) that enables trusted analytics and AI/ML (e.g., feature reuse, RAG-ready knowledge assets).Be accountable for the data architecture within the enterprise data platform, ensuring it remains coherent, scalable and aligned to enterprise standards (e.g., data modelling, metadata/lineage, security and governance).Define, embed and govern lakehouse patterns such as medallion architecture (bronze/silver/gold), including ingestion, refinement, quality controls and promotion of curated datasets/data products.Define, embed and help implement the data product operating model (domain ownership and stewardship, data product lifecycle, data contracts, and data SLAs/SLOs) to enable reuse and accountability across the firm, in collaboration with the Data Governance & Enablement Team.Define and embed decision rights and RACI for enterprise data architecture and data products (e.g., ownership, approval and escalation paths across domains, platform teams, Data Governance & Enablement and other stakeholders).Create and maintain a high-level roadmap for evolving enterprise data capabilities (data quality, master/reference data, analytics and AI enablement), including transitional architectures.Define, embed and govern enterprise standards, patterns and reference architectures (data modelling, data integration, data products, semantic layers and AI data/knowledge patterns) to ensure consistency, interoperability and reuse.Engage key stakeholders (Information Security, Office of the General Counsel, and the Data Governance & Enablement Team) to ensure architecture choices meet security, privacy, regulatory and governance requirements.Boundary with Enterprise Integration Architecture: This role owns the enterprise data architecture (data domains, models, data products, semantics, governance requirements and AI data/knowledge patterns). Enterprise Integration Architecture owns the integration strategy and design for moving data between systems (integration patterns, middleware, APIs/eventing, orchestration and interface standards). The Enterprise Data Architect partners with Enterprise Integration Architecture to ensure integration designs correctly implement the target data architecture, data quality, lineage, security and compliance controls end-to-end.The role will also partner with delivery teams to turn strategy into outcomes, providing thought leadership, practical guidance and solution direction. Working closely with Data & AI colleagues and fellow architects (Business, Enterprise and Enterprise Integration), the Enterprise Data Architect helps shape investment choices, ensures solutions align to enterprise principles, and promotes responsible, secure and scalable use of data for analytics and AI. The role provides clear guardrails and an architecture runway for teams, favouring early engagement and enablement over late-stage approvals.Lead architecture governance and design assurance for data, analytics and AI solutions against enterprise principles, working alongside Business, Enterprise, Integration, Cloud and Solution Architects to align end-to-end design.Support platform and product owners with live environment compliance reporting, including data controls that support Responsible AI (e.g., lineage, data quality, access, retention) and model-operational readiness.Partner with Product and Platform leadership, in collaboration with the Data & AI team, to embed data product ways of working (prioritisation, backlogs, funding/investment cases, and OKRs/KPIs) and to ensure data products are treated as first-class products.Work with Information Security, Office of the General Counsel and the Data Governance & Enablement Team to define and embed controls (access, privacy, retention, usage restrictions, lineage and auditability) required for trusted data and Responsible AI.Identify reusable enterprise patterns (data products, canonical models, semantic definitions, feature/embedding reuse, RAG knowledge sources) and promote adoption across domains.Promote standardised approaches, technologies and ways of working with Data & AI colleagues within the product/platform model (reference implementations, reusable components, and clear guardrails).Reduce enterprise-wide complexity and cost by rationalising data flows, consolidating duplicative datasets, and improving platform and integration efficiency.Enable business process improvement and increased productivity by ensuring trusted, well-governed data assets that can safely power automation, analytics and AI-assisted workflows.Assist in assessing fitness of data and AI-enabling architectures in live environments against resilience, performance and failure tolerance expectations (including data SLAs/SLOs and dependencies for AI/ML solutions).About youStrong experience in enterprise data architecture (capability modelling, enterprise data models, target-state visioning, roadmaps, principles, standards and governance).Experience defining and implementing a data product operating model (product ownership, lifecycle management, data contracts/SLAs, stewardship, and adoption measures) within a wider product/platform operating model.Experience establishing data product lifecycle hygiene at scale (e.g., versioning, documentation, backwards compatibility, change management, deprecation/retirement and support).Experience establishing and evolving architecture services and artefacts (principles/standards lifecycle, reference architectures, reusable patterns), including driving adoption and measuring outcomes (e.g., reduced duplication, improved data quality, faster delivery).Proven experience working in an Enterprise Architecture operating model, collaborating with Business, Enterprise, Integration, Cloud, Solution and Security architecture to resolve cross-domain decisions and ensure coherent end-to-end designs.Experience working within an enterprise architecture tool/repository to relate data architecture concerns to other domains (business, application, integration and technology architecture), including traceability of decisions, standards and roadmaps.People leadership experience, including line management and coaching of architects to build capability, consistency and delivery effectiveness.Strong expertise in data modelling and information design (conceptual, logical and physical), including dimensional modelling and working knowledge of 3NF; able to set modelling standards and provide pragmatic guidance to delivery teams.Experience with enterprise data tooling and enablement for modellers and engineers (e.g., modelling repositories, templates/standards, data quality & testing, CI/CD, catalog/lineage integration and developer workflows).Demonstrable experience shaping conceptual, logical and physical data architectures, design patterns and best practices for data integration, data products, semantic layers and analytics platforms.Experience defining and governing semantic layers and enterprise metrics (common definitions, calculation logic, master KPI sets, and controls to ensure consistency across reporting, analytics and AI use cases).Experience defining metadata architecture (catalogue, lineage, glossary) and Master Data Management (MDM) / Reference Data Management (RDM) solutions to improve discoverability, trust and reuse.Experience performing analysis and design for data management, analytics and AI-driven initiatives, translating business outcomes into architecture and delivery guidance.Practical understanding of data governance, privacy and security-by-design, and how these enable compliant analytics and Responsible AIExperience applying data classification and handling requirements in solution and enterprise designs (e.g., sensitivity tiers, access controls, lawful basis, retention, and cross-border transfer considerations) and embedding these into data products and AI-enabled data flows.Strong understanding of enterprise data management disciplines: MDM, metadata management, data quality, data governance, stewardship and operating models.Experience with cloud data technologies and modern data/AI platform concepts (lakehouse, streaming, orchestration, ML pipelines, feature stores and vector/embedding stores).Experience with medallion architecture and approaches for managing unstructured data sets (e.g., document ingestion, chunking and metadata enrichment, content classification, vector/embedding pipelines, retention and access controls).Able to review solution designs independently, provide constructive challenge, and partner with engineering teams to drive quality throughout delivery (including data and AI solutions).Experience with enterprise systems and SaaS data challenges (e.g., SAP, Salesforce), including data integration, lineage and responsible sharing/consumption.Working knowledge of AI/ML and Generative AI patterns and implications for enterprise data (e.g., RAG, prompt grounding, knowledge curation, data quality/lineage, privacy and security considerations).Excellent problem solving and analysis skills.Excellent communication skills - written and verbal.Excellent presentation skills.Intervenes if warning signs of problems occur within own area of responsibility.Forward thinking. Proactive rather than Reactive.Strong leadership and influence skills across Business and Technology organizations.Knowledge of Agile methodologies and their impact on design, build and operating processes as pertains to architecture development.Desirable SkillsExperience with modern data platform technologies, e.g., Azure Databricks (Delta Lake), ADLS Gen2, Azure Data Factory, Power BI, and associated security and operations services (Entra ID, Key Vault, monitoring)Experience with data governance and engineering enablement tooling (e.g., Microsoft Purview, Databricks Unity Catalog, GitLab CI/CD, MLflow/MLOps and emerging LLMOps patterns).