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Senior Infrastructure Engineer - Outside IR35 / MOD / Defence - High Security Clearance £550-£600 per day Outside IR35 (expenses if required) Somerset | On-site DV Cleared Are you an Infrastructure Engineer with strong hands-on experience across networking, storage, virtualisation and Windows infrastructure? This is a contract role working on the build and deployment of infrastructure within a highly secure Defence environment in Somerset. You'll be working across the physical and virtual infrastructure stack, including Cisco Nexus networking, NetApp storage, Hyper-V, VMware and Windows Server. This is a hands-on engineering position, suited to someone comfortable building, configuring and hardening infrastructure rather than purely supporting an established environment. The role Working alongside infrastructure engineers and architects, you'll be responsible for areas including: Configuring and hardening Cisco Nexus Leaf/Spine network infrastructure Initialising and presenting NetApp storage , including data-at-rest encryption Building and hardening Hyper-V clusters for core services including AD, DNS and PKI Supporting the integration and enablement of VMware Cloud Foundation (VCF) Working with HSM/KMS appliances and hardware-based cryptographic systems Supporting key management and key ceremony activities Building and configuring Windows Server 2022/2025 environments Completing physical infrastructure installation, including rack-and-stack and secure cabling Working to the security and engineering standards required within a Defence environment What you'll need You'll need strong infrastructure engineering experience, ideally including: Cisco Nexus or equivalent enterprise networking technologies NetApp ONTAP or comparable enterprise storage Hyper-V deployment within highly available environments VMware Cloud Foundation , ideally VCF 5+ Windows Server 2022/2025 Understanding of AD, DNS and PKI Experience with HSM/KMS technologies would be beneficial Experience delivering physical infrastructure, including rack-and-stack and cabling Due to the nature of the project, you'll need to have active DV Clearance. If your background covers networking, storage and virtualisation and you're comfortable delivering infrastructure hands-on within a secure Defence environment, this is an opportunity to work across the full infrastructure build rather than being limited to one technology area. TPBN1_UKTJ

Our client is a Global FinTech with offices around the world inc Bristol and London in the UK .This AI Deployment Engineer role can be based out of Bristol or London offices.Ideally 3 days per week in the office but could be a little bit more flexible for the ideal candidate. • AI Deployment Engineer, • Location: Bristol/London - Hybrid, 3 days in the office, • Salary: to- £130,000 p/a dependent on experience + excellent benefits You will be the deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems communicate correctly, and build the technical backbone that our AI tooling depends on. Job Responsibilities Own the data infrastructure underpinning AI deployments pipelines, storage, and data serving Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems Take Strategist-built prototypes to production-grade hardening, scaling, and ensuring reliability Set up monitoring, logging, and alerting across deployed pipelines and agent infrastructure Manage data models, schemas, and storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time streaming (Kafka, Flink) RPA tooling (UiPath, Power Automate) dbt for data transformation Claude Code, Claude Cowork, or Claude Skills Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Experience 35 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting disparate business systems SaaS platforms, internal databases, and third-party APIs and making them work reliably. Strong debugging instincts and a high bar for reliability and data integrity. Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus. Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent practical experience JBRP1_UKTJ

Full job description Job Title:Lead Forward Deployed Engineer Company: 167 Solutions Location: Bristol, London, Manchester Salary: £70,000 - £100,000 per annum (DOE) Contract Type: Permanent Experience Level: Minimum 3 years' commercial experience Start Date: ASAP About the Role 167Solutions seeking a Lead Forward Deployment Engineer to lead the design, development, and deployment of enterprise-scale AI solutions. This role combines deep technical expertise with customer engagement, solution architecture, and engineering leadership to deliver innovative AI applications that solve complex business challenges. As a technical leader, you'll work closely with executive stakeholders, engineering teams, and customers to define AI strategies, rapidly prototype solutions, and guide deployments from concept through production. You'll also mentor engineers, establish engineering best practices, and help shape the future direction of our AI platform. What You'll Do Lead the architecture, design, and deployment of enterprise Generative AI solutions. Partner directly with customers to understand strategic business objectives and translate them into scalable technical solutions. Drive rapid prototyping initiatives, validating ideas and delivering production-ready applications at speed. Design and build cloud-native applications using TypeScript and AWS. Lead technical discovery workshops and solution architecture sessions with customer stakeholders. Develop AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and modern AI frameworks. Design scalable data pipelines, integrations, and AI workflows to support enterprise use cases. Provide technical leadership across customer engagements, ensuring high-quality architecture, security, and operational excellence. Mentor engineers through code reviews, architecture guidance, and technical coaching. Establish engineering standards, deployment patterns, and AI best practices across the organization. Collaborate with Product, Engineering, and Customer Success teams to define product direction based on customer feedback. Evaluate emerging AI technologies and recommend their adoption where they create customer value. What We're Looking ForRequired Skills Extensive experience designing and delivering enterprise software solutions. Expert-level proficiency with TypeScript and modern backend development. Deep experience building and deploying applications on AWS. Hands-on experience designing and implementing Generative AI applications using modern LLMs. Strong understanding of AI architecture, distributed systems, APIs, and cloud-native design. Experience designing scalable data architectures and integrating multiple data sources. Proven ability to lead technical customer engagements from discovery through production deployment. Experience leading engineering teams, mentoring developers, and influencing technical direction. Strong communication skills with the ability to engage both technical teams and executive stakeholders. Excellent problem-solving skills with the ability to navigate ambiguity and deliver pragmatic solutions. Nice to Have Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks. Knowledge of vector databases and semantic search technologies. Experience with Python alongside TypeScript. Familiarity with Kubernetes, Docker, Infrastructure as Code, and CI/CD pipelines. Experience implementing enterprise security and compliance requirements. Background in solution architecture or technical consulting. Experience leading cross-functional or distributed engineering teams. Technologies You'll Work With Generative AI Artificial Intelligence (AI) AWS TypeScript Large Language Models (LLMs) Rapid Prototyping Data Engineering Retrieval-Augmented Generation (RAG) Vector Databases APIs Node.js React / Next.js Docker Kubernetes Git CI/CD What Success Looks Like Lead successful enterprise AI deployments that deliver measurable business outcomes. Architect scalable, secure, and maintainable AI solutions for production environments. Build trusted relationships with customer technical leaders and executive stakeholders. Accelerate customer adoption through rapid delivery and continuous innovation. Raise engineering standards through mentoring, technical leadership, and best practices. Influence product strategy by bringing customer insights back into engineering. Ideal Candidate You're a technical leader who combines deep software engineering expertise with strong customer engagement skills. You enjoy solving complex business problems using Generative AI, leading engineering teams, architecting cloud-native solutions on AWS, and delivering high-impact applications through rapid prototyping and iterative development. You thrive in fast-paced environments where innovation, ownership, and collaboration are essential to success. JBRP1_UKTJ

hackajob is partnering directly with Made Tech to hire for this role. About Made Tech At Made Tech we want to positively impact the future of the country by using technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user-centric, data-driven and freed from legacy technology. We believe the best way to achieve this is to embrace cloud technology while working in a collaborative multidisciplinary environment. Based within the Cloud & Engineering Practice, our Senior Cloud Engineers help public sector organisations to deliver digital services that are highly available, reliable, resilient and secure. They are software engineers who tend to focus more on the successful deployment and operations of services than on functional development. They are adaptable and comfortable covering a range of disciplines such as DevOps, SRE and infrastructure architecture. About the role You will play a critical role in designing, implementing, and maintaining our clients' cloud infrastructure, ensuring it is secure, scalable, and highly available. You will provide dedicated cloud and infrastructure expertise within your team and advise on best practice. We expect our cloud engineers to have a background in and thorough understanding of software engineering. You will keep abreast of emerging technologies and be able to work collaboratively in a multi-disciplinary software delivery environment. You will be expected to maintain a broad technical knowledge across all major cloud platforms and build credibility by pursuing relevant certifications. Key Responsibilities Delivery of high quality cloud-based technical solutions for our clients: • Collaborate within cross-functional teams to design cloud architectures that meet the client's requirements around scalability, performance, and security, • Deploy and manage cloud resources, containers, and related services using Infrastructure as Code (IaC) tools like Terraform or CloudFormation, • Configure and maintain networking, security, and access control in the cloud environment, • Implement and maintain robust security practices to protect data and resources in the cloud environment, • Develop and maintain automated processes for provisioning, monitoring, and scaling cloud resources, including the use of CI/CD pipelines to streamline application deployments, • Monitor cloud infrastructure for performance bottlenecks and proactively optimise resource usage, • Implement load balancing, caching, and content delivery solutions to ensure high availability and performance, • Design and maintain backup and disaster recovery solutions to ensure business continuity in the event of system failures or data loss, • Create and maintain runbooks including configuration management and standard operating procedures, • Provide high tier support for client applications and infrastructure, including occasional on call cover, • Ensure any necessary compliance standards are met and certifications are maintained Evangelising the adoption of cloud technology and adherence to prescribed best practices: • Evaluate and recommend cloud services, tools, and solutions to meet common client scenarios, • Stay up-to-date with industry trends and emerging technologies, and share knowledge with the team, • Collaborate with other teams within Made Tech to ensure alignment with cloud best practices, • Line manage and mentor more junior colleagues to support their development, pursuit of career goals and management of their overall performance Skills, Knowledge & Expertise Essential, • Significant prior experience in a cloud engineering role, with a strong foundation in successfully building and deploying services in the cloud, • A deep knowledge of cloud platforms such as AWS, Azure and GCP, • Hands on experience delivering software using multiple programming languages and a thorough knowledge of modern software engineering best practices, • Experience with containerisation and orchestration tools (e.g. Docker, Kubernetes), • Experience working within multidisciplinary teams with product, design, and technical disciplines all successfully collaborating Desirable • Experience working in a technology consultancy environment, • Relevant cloud certifications such as AWS Cloud Practitioner, Developer, DevOps Engineer, Security, Advanced Networking or Azure Developer, Security, DevOps, Network Engineer, • Knowledge of cloud vendor partner programs, such as AWS APN and Azure Partners, • Experience with well-architected frameworks, • Knowledge of UK public sector technology guidance and frameworks, such as NCSC's Cyber Assessment Framework (CAF) and the Technology Code of Practice (TCoP), • Familiarity with Python, Bash and JavaScript, • Agile practices such as Scrum, XP, and/or Kanban, • Experience using Test Driven Development (TDD). Job Benefits An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' continuous UK residency and 5 year' employment history (or back to full-time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a member of our talent team who can help with any needs or adjustments we may need to make to help with your application. We've put together this blog as a resource to share more about reasonable adjustments and some examples of what this could include. We also welcome any feedback on how we can improve the experience for future candidates. Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. Benefits We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: 30 days Holiday • we offer 30 days of paid annual leave plus bank holidays Flexible Working Hours • we are flexible with what hours you work Flexible Parental Leave • we offer flexible parental leave options Remote Working • we offer part time remote working for all our staff Paid counselling • we offer paid counselling as well as financial and legal advice JBRP1_UKTJ

Contract Full Stack Engineer - AWS/Typescript/Public Sector Duration - 6 months Outside IR35 - Competitive Market Rate Fully Remote (UK based) ASAP Start Fruition Group are representing a boutique technology consultancy who are specialist at delivering cutting edge solutions for public and private sector clients. They're known as the 'Knights in Shining Armour'. Join a high-profile national healthcare digital transformation programme - a flagship government-backed initiative set to change how millions of patients access care. You'll be building the user-facing services and APIs at the heart of the platform, working with modern cloud technologies in a secure, complex environment on a project with genuine real-world impact across the health service. NHS experience is essential for this role. You'll need demonstrable delivery experience within NHS environments and an understanding of how they operate. Key Skills/Tech experience required: • NHS delivery experience (essential), • TypeScript/Node, • React (or similar modern front-end framework), • Node.js, • REST API design and integration, • AWS We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age JBRP1_UKTJ

Embedded Software Lead - Medical Devices Bristol + Hybrid Work from Home Up to £80,000 + Bonus, OTE £100,000 KO2's client is an innovative and fast-growing medical technology business developing advanced devices in a regulated environment. They are looking for an Embedded Software Lead to own embedded software and systems at a discipline level, sitting alongside the mechanical lead within the R&D leadership team and reporting to the Head of R&D. This is a genuine leadership position. You will set the embedded software strategy, own it, and drive it. It is not a compliance heavy role and it is not narrowly specialised. The team is small, so you will stay close to the code and the hardware while shaping direction across the whole product. The Opportunity You will act as the system level lead across embedded software and hardware, driving design, integration and verification of current products and the next generation. The role blends hands on engineering, technical leadership and cross functional influence, with real ownership of product direction and a clear seat at the table. What you will be doing • Set and drive the embedded software and systems strategy for the business, • Contribute to early stage innovation, exploring new technologies in embedded systems and connected medical devices, • Develop proof of concepts and functional prototypes, • Lead system design across software and hardware for new product development, • Own design control, risk management and verification and validation for the software and hardware functions, • Provide technical oversight, review the work of engineers and challenge solutions to protect quality, • Identify risks and constraints early and shape product direction through informed engineering decisions, • Investigate complex field issues, complaints and non conformances alongside the quality team, • Drive improvements in performance, reliability and cost across the existing range, • Support usability testing and concept validation What KO2's client is looking for • Degree in software engineering, computer science, electronics or electrical engineering, or a related field, • Around ten years in embedded software development within a regulated environment, medical device experience preferred, • Expert level embedded software development, ideally C or C plus plus, • Experience on physical products, not purely cloud or desktop systems, • Strong design control, version control, testing and documentation discipline, • Experience across the full product lifecycle, from concept through to launch and improvement, • Awareness of cybersecurity and patient safety principles, • An appreciation of electronics and hardware integration, beneficial rather than essential, • Familiarity with medical device standards and regulated pathways, for example ISO 13485, IEC 62304, ISO 14971, IEC 60601 and IEC 62366 Just as important as the person This is the part that will decide who gets the job. The successful candidate will be self contained. They will take the biggest problem in front of them, work out what needs to happen, and go and do it, without being told what is needed, in what format, and by when. They will have the gravitas to hold their own alongside mechanical leadership and the drive to set direction rather than wait for it. Pragmatic, willing to work outside the core role when the team needs it, and comfortable in a fast changing environment. This role will suit someone who • Wants to step up into, or continue in, a technical leadership role with real ownership, • Enjoys tangible, real world medical products rather than abstract software, • Prefers broad engineering ownership to being siloed, • Has regulated experience but does not want a compliance heavy job Salary and Benefits • £75,000 base salary, • £20,000 to £25,000 on target bonus, • Strong benefits package, • A key leadership seat in a growing R&D team, • The opportunity to work on medical technology with genuine real world impact Apply Today If you are an embedded software engineer ready to lead at a systems level, and you want the mandate to shape an embedded software strategy rather than execute someone else's, this is a strong next step. Contact Andrew Knight or Laurence Powell at KO2 Embedded Recruitment Solutions. JBRP1_UKTJ

AI Architect Up to £120k + Bonus + Benefits Remote (UK) | Occasional Client Travel Architect the Future of Enterprise AI AI is moving beyond experimentation and this consultancy is helping some of the UK's largest organisations turn AI ambition into real-world capability. We're looking for an experienced AI Architect to join a growing AI practice, designing and delivering secure, scalable and production-ready AI solutions across enterprise environments. This is a role for someone who understands that successful AI transformation requires more than selecting the latest models. It requires strong architecture, robust data foundations, governance, security, and the ability to translate emerging technologies into measurable business outcomes. Working across Generative AI, Agentic AI, Machine Learning and enterprise data platforms, you'll help organisations move from AI strategy and proof-of-concept through to scalable production adoption. You'll work closely with senior stakeholders, technical teams and delivery specialists to define AI architectures, establish best practices and shape how enterprise AI is built and deployed. This is not a role focused purely on governance or architecture documentation. You'll remain close to the technology, influencing design decisions, guiding delivery teams and helping build solutions that create genuine business impact. What You'll Be Doing You'll lead the architecture and delivery of enterprise AI solutions across the full lifecycle from discovery and strategy through to implementation and scale. Your responsibilities will include: • Designing enterprise-scale Generative AI, Agentic AI and Machine Learning architectures, • Creating AI solutions using Microsoft Foundry / Azure AI Foundry and Copilot Studio (essential), • Defining AI platforms, frameworks and reference architectures for large organisations, • Designing intelligent agent solutions, AI assistants and LLM-powered applications, • Developing secure and governed AI approaches aligned with Responsible AI principles, • Advising senior stakeholders on AI strategy, technology choices and investment decisions, • Supporting client engagements from early discovery through production deployment, • Creating reusable AI accelerators, patterns and delivery frameworks, • Providing technical leadership and guidance to engineering and delivery teams, • Supporting the continued growth and maturity of the AI consulting practice Technology Environment You'll work across a modern Microsoft-focused AI ecosystem including: • Microsoft Foundry / Azure AI Foundry (mandatory experience), • Microsoft Copilot Studio (mandatory experience), • Azure AI Services, • Azure OpenAI Service, • Microsoft Agent Framework, • Semantic Kernel, • Power Platform, • Enterprise Data Platforms, • Azure Machine Learning, • Retrieval-Augmented Generation (RAG), • Large Language Models (LLMs), • Agentic AI architectures, • LangChain / LangGraph, • MLOps & LLMOps, • Cloud-native architectures, • Data governance and security frameworks What We're Looking For You'll likely be operating as an AI Architect, Lead AI Consultant, Principal AI Engineer, Principal Data Scientist or similar senior AI leadership role. You'll bring: • Proven experience designing and delivering enterprise AI solutions in production environments, • Strong hands-on experience with Microsoft / Azure AI Foundry and Copilot Studio (essential), • Deep understanding of Generative AI, LLM architectures, RAG and AI agents, • Experience building AI solutions beyond proof-of-concept into scalable production services, • Strong Azure and Microsoft ecosystem expertise, • Experience with AI governance, security, data privacy and Responsible AI principles, • Understanding of modern data platforms and AI-ready data architectures, • Experience working with senior technical and business stakeholders, • Strong consulting skills with the ability to translate complex AI concepts into business outcomes, • The ability to provide technical leadership while remaining close to delivery Why This Opportunity Stands Out AI is not an experiment here it is a strategic investment area with executive sponsorship, significant client demand and a growing pipeline of enterprise transformation programmes. You'll have the opportunity to: • Work on complex AI challenges at enterprise scale, • Design solutions using the latest Microsoft AI technologies, • Influence AI adoption across major organisations, • Work alongside leading specialists across AI, data and cloud, • Shape reusable AI frameworks and best practices, • Continue developing your expertise through certifications, innovation and training The AI market is crowded with organisations experimenting, this opportunity is with a business that's already delivering. If you're ready to architect AI solutions that operate at enterprise scale and shape the next generation of intelligent systems, we'd love to hear from you. JBRP1_UKTJ

Lead Forward Deployed Engineer AI / Product / Consulting Location: Hybrid Job Type: Full-time Level: Lead / Principal Individual Contributor The Opportunity We're working with an innovative, global digital health technology business that partners with major organisations across the pharmaceutical, biotech and healthcare sectors. They are looking for a Lead Forward Deployed Engineer who can operate across three disciplines that are often split between different roles: consulting, product leadership and hands-on engineering. You'll work directly with clients to understand complex business and technical challenges, determine what is worth building, and then personally take solutions from idea through to production. This is not a traditional engineering role where you'll receive a fully defined backlog and focus solely on implementation. You'll be expected to shape the problem, make product decisions, build the solution and own the outcome. The role would suit an experienced engineer who is operating at the forefront of AI development and is equally comfortable writing production code, challenging a product strategy, presenting to senior stakeholders and working directly with clients. How You'll Work The role is built around three core areas: Shape Work with business and technical leaders to turn ambiguous problems into clear, valuable and buildable opportunities. You'll: Lead discovery with business and technical stakeholders. Separate the problem a client describes from the underlying problem they actually need to solve. Structure ambiguity into clear hypotheses, options, trade-offs and recommendations. Develop business cases around value, cost, adoption risk and expected outcomes. Communicate effectively with both technical and executive audiences. Decide Take ownership of what should be built and what shouldn't. You'll: Translate product discovery into a focused, outcome-driven roadmap. Own scope, priorities, sequencing and trade-offs. Create clear product documentation including problem briefs, PRDs, user stories and acceptance criteria. Define and track meaningful success metrics. Work closely with UX and design teams to ensure solutions are built around genuine user needs. Run agile delivery processes, including backlogs, sprints, demos and releases. Continue to own and iterate on products after launch based on user feedback and performance data. Build & Deploy When the problem is defined, you'll get hands-on and build. You'll: Build production-quality software using Python and/or TypeScript. Develop full-stack applications, APIs, AI agents and workflows. Work with technologies including Next.js, React, FastAPI, Fastify, FastMCP and Hono. Design and implement agentic applications using technologies such as LangGraph, AutoGen, Claude Agent SDK, OpenAI tooling or custom orchestration frameworks. Integrate leading and self-hosted LLMs with tools, data and external systems using MCP and custom connectors. Implement RAG solutions using vector databases and hybrid retrieval where appropriate. Work across relational, document, key-value and graph databases depending on the problem. Develop prompt and context engineering approaches focused on accuracy, reliability, cost and latency. Make structured use of AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot and Codex. Fine-tune or adapt models where there is a genuine use case. Production & Engineering You'll own solutions all the way into production, including: Infrastructure and deployment. AI evaluation and testing frameworks. MCP server implementation. Cloud deployment across AWS, Azure, Cloudflare or Vercel. Docker, Kubernetes and/or serverless architectures. TDD and robust software engineering practices. Security, secrets management and SAST/DAST. Structured logging, monitoring, metrics and tracing. Automated CI/CD using tools such as GitHub Actions or Jenkins. Performance, scalability and cost optimisation. Operational ownership of the systems you build. Leadership & Mentoring Although this is an individual contributor role, you'll have significant influence across projects and teams. You'll: Mentor engineers in AI engineering, system design, product thinking and agentic architectures. Set the technical and product standard on client engagements. Review work, raise engineering standards and unblock teams. Contribute to reusable accelerators, playbooks and technical assets. Help interview, onboard and develop future team members. What We're Looking ForEngineering 6+ years' experience building production software. At least 3 years' experience building production applications using AI and/or agentic development approaches. Strong hands-on experience building agents and multi-step AI workflows not simply integrating chat or prompted models. Experience with agent frameworks such as LangGraph, AutoGen, Claude Agent SDK, OpenAI tooling or equivalent. Strong Python and/or TypeScript experience. Strong understanding of OOP, SOLID, 12-factor application development and microservice architecture. Experience building applications with frameworks such as Next.js and FastAPI or equivalent. Experience with vector databases, retrieval pipelines and AI evaluation frameworks. Cloud-native deployment experience with at least one of AWS, Azure, Cloudflare or Vercel. Experience with Docker, Kubernetes and CI/CD tooling. A deep understanding of how LLMs behave, where they fail and how to optimise accuracy, latency and cost. A demonstrable track record of actually building and shipping technology GitHub projects, portfolios, side projects, open-source contributions or similar. Product You should also be comfortable taking ownership beyond the engineering implementation. We're looking for experience with: Owning a product or significant product area from discovery through delivery. Product discovery and problem framing. Roadmapping, prioritisation and opportunity assessment. Writing PRDs, user stories and acceptance criteria. Defining and measuring product success metrics. Using data and evidence to change product direction. Working closely with UX and design teams. Running agile delivery processes with accountability for outcomes rather than simply participating in ceremonies. Consulting & Client Leadership This is a highly client-facing position, so you'll need: Previous experience in consulting, professional services, forward deployment or another client-facing environment. Experience owning client relationships rather than simply attending client meetings. The ability to structure ambiguous problems and make clear recommendations to senior, non-technical stakeholders. Excellent written communication, including decision papers, proposals and executive readouts. Experience with scoping, estimation, change control and stakeholder management. The confidence to challenge a client or senior stakeholder constructively when the evidence supports a different approach. Other Requirements A strong commitment to clean code, testing, security, observability, scalability, performance and cost efficiency. Excellent communication and written skills. A founder-style mindset and enthusiasm for solving ambiguous, high-impact technical and commercial problems. Willingness to travel to client sites when required. Bachelor's or Master's degree in Computer Science, Machine Learning or a related technical discipline. Desirable Experience The following would be advantageous: Experience within healthcare, life sciences, pharmaceuticals or biotech, including clinical, commercial, regulatory or R&D environments. Background within a leading consultancy, product-led technology company or high-growth startup. Public technical writing, conference talks or other thought leadership around AI. AWS Professional certification or another relevant industry certification. What Success Looks Like First 90 days: You'll be expected to take ownership of a client relationship, lead a discovery process and have working software in front of real users. First 6 months: You'll have defined and delivered a meaningful product increment that has improved a client-relevant metric and demonstrated enough value to support further investment. First year: You'll be helping set the standard for how AI products are delivered, mentoring others and contributing to reusable technology, processes and accelerators. What You'll Get Hybrid working with exposure to high-profile clients and complex technology challenges. A collaborative, people-focused culture. The opportunity to work at the forefront of AI, agentic development and digital health. Significant autonomy and ownership over the solutions you build. Opportunities for technical leadership, mentoring and career development. A supportive environment focused on continuous learning. Competitive salary and benefits. The opportunity to work on technology with meaningful real-world impact. Interested? If you're an experienced engineer who wants to combine hands-on AI engineering, product ownership and client leadership, this is an opportunity to have genuine ownership from problem definition through to production. Apply now with your CV to be considered. JBRP1_UKTJ

An established technology business specialising in cloud-based IoT, energy management and building automation solutions is seeking an experienced Trend BMS Engineer for an initial six-month contract. This fully remote role will involve managing, maintaining and optimising Trend building management systems while supporting customers and internal teams with technical issues, system performance and c... JBRN1_UKTJ

Senior Systems Engineer Secure Digital Platform (SDP) Data & Integration Reading | Hybrid Working (3 Days Onsite) 6-Month Contract £64 per Hour (Inside IR35) Winsearch is recruiting for an experienced Senior Systems Engineer to join a major digital transformation programme supporting enterprise-scale infrastructure, cloud services and platform operations. This is an excellent opportunity for a senior infrastructure professional to play a key role in the design, delivery and ongoing improvement of modern hybrid platforms, working across cloud, on-premises and containerised environments. You'll be involved in supporting critical services while driving automation, modernisation and operational excellence initiatives. The Role As a Senior Systems Engineer, you will provide technical leadership across a complex infrastructure landscape, ensuring systems remain secure, resilient, scalable and aligned with business objectives. Working closely with architects, security teams, application owners and service delivery functions, you'll support enterprise platforms while contributing to infrastructure transformation and cloud adoption programmes. Key Responsibilities • Design, deploy and support enterprise infrastructure across cloud and on-premises environments., • Administer and optimise Microsoft Azure services and cloud-native technologies., • Manage and maintain Windows Server and Linux-based environments., • Deploy, configure and support Kubernetes and OpenShift platforms., • Develop and implement Infrastructure as Code (IaC) and automation solutions., • Ensure infrastructure meets security, compliance, resilience and availability requirements., • Monitor system health, performance and capacity across multiple platforms., • Support backup, disaster recovery and business continuity strategies., • Troubleshoot and resolve complex technical issues and service incidents., • Produce and maintain technical documentation, standards and operational procedures., • Mentor junior engineers and contribute to technical knowledge sharing., • Support cloud migration, infrastructure transformation and technology refresh projects. About You We're looking for a technically strong Systems Engineer with experience operating within complex enterprise or large-scale infrastructure environments. You should have hands-on experience across a number of the following areas: • Microsoft Azure administration and cloud services, • Hybrid infrastructure environments, • Windows Server and Linux platform support, • Kubernetes and OpenShift container platforms, • Infrastructure as Code and automation frameworks, • Scripting and orchestration tools, • Infrastructure monitoring, alerting and observability solutions, • Disaster recovery and business continuity planning, • Infrastructure security and compliance best practices, • Cloud migration and modernisation programmes Key Areas of Focus Cloud & Infrastructure Engineering • Deliver reliable, secure and scalable infrastructure solutions., • Support cloud adoption and governance initiatives., • Improve platform availability, resilience and performance., • Contribute to infrastructure modernisation programmes. Container & Platform Services • Support and develop Kubernetes and OpenShift environments., • Enable secure deployment of containerised applications., • Improve platform automation and operational efficiency., • Support platform lifecycle management and scalability. Automation & Continuous Improvement • Promote an automation-first approach across infrastructure operations., • Develop solutions that reduce manual effort and improve consistency., • Drive continuous improvement initiatives across platforms and services., • Enhance monitoring, reporting and operational processes. Requirements • Proven experience in a Senior Systems Engineer, Infrastructure Engineer or Platform Engineer role., • Strong background supporting enterprise-scale cloud and infrastructure environments., • Experience working with Microsoft Azure and modern container platforms., • Strong troubleshooting and problem-solving capabilities., • Ability to work effectively across multiple technical teams and stakeholders., • Excellent communication and documentation skills. What's on Offer? • £64 per hour (Inside IR35), • Initial 6-month contract, • Hybrid working arrangement with 3 days per week onsite in Reading, • Opportunity to work on large-scale cloud and infrastructure transformation programmes, • Exposure to modern cloud, containerisation and automation technologies, • Collaborative environment with high-performing technical teams If you're an experienced Systems Engineer looking for a contract opportunity where you can make a tangible impact across cloud, infrastructure and platform services, we'd be keen to hear from you. Apply today or contact Winsearch for a confidential discussion. INDWIN Our clients and their customers come from diverse backgrounds and so do we. We hire our people from various walks of life, each of whom make our company stronger with their talent, uniqueness, and expertise. This is what makes our company special; if you want to help us grow and take this ethos to our clients, then we cannot wait to collaborate with you! The UK has now left the European Union. Any EU, EEA or Swiss citizens living in the UK that wish to remain in the UK post Brexit need to apply to the EU Settlement Scheme. Although the closing date for applications was 30th Jun 2021, if you have not yet applied but believe that you would qualify under the EU Settlement Scheme, the Home Office have confirmed that they will consider late applications. For further information please see https:// Many Thanks JBRP1_UKTJ

Senior Network Security Engineer Central Bristol (various hybrid working arrangements available depending on location). £65,000 to £75,000 + bonus, 25 days holiday, good contributory pension Are you a Network Security Engineer ready to step into a role where your expertise shapes the security of a modern, hybrid tech environment? This is your chance to own security tooling, influence design decisions, and help strengthen a growing cyber function. What You'll Be Doing You'll take the lead on securing complex enterprise networks across cloud and on-prem environments, including: ?? Configuring and optimising security tooling such as segmentation platforms, Sophos, Mimecast, XDR solutions, vulnerability scanners and hardening baselines. ?? Managing firewalls, VPNs, secure remote access and segmentation controls. ?? Improving detection and response by working closely with SIEM/SOC teams. ?? Ensuring critical logging, monitoring and compliance standards are always met. ?? Automating deployments and controls using PowerShell, Python, Terraform or similar tools. ?? Supporting vulnerability assessments and driving remediation across the estate. ? Contributing to secure design reviews across applications, infrastructure, and cloud services. ?? Incident response experience is desirable but not essential. We're looking for someone with: • Strong hands-on experience with network infrastructure and security, segmentation, firewalls, endpoint security, XDR and access control., • Experience securing Cloud (Azure and/or AWS) and on-premise environments., • A security-first mindset and confidence working with both technical and non-technical stakeholders., • Knowledge of frameworks such as NIST, ISO 27001, CIS, GDPR would be preferred., • A proactive, accountable approach- you like owning outcomes. ?? Why This Role Stands Out This isn't just another security engineering job. It's a chance to: ? Take ownership of a modern security tooling ecosystem ? Influence architectural decisions ? Drive meaningful improvements across the whole tech estate ? Work in a supportive, forward-thinking security team For more details, please reach out to Mary Pearson on - Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you. JBRP1_UKTJ

Full job description Job Title: Forward Deployed Engineer Company: 167 Solutions Location: Bristol, London, Manchester Salary: £50,000 - £70,000 per annum (DOE) Contract Type: Permanent Experience Level: Minimum 3 years' commercial experience Start Date: ASAP 167Solutions are looking for a highly technical, customer-focused Forward Deployment Engineer to bridge the gap between cutting-edge AI technology and real-world business challenges. You'll work directly with customers to rapidly prototype, build, and deploy AI-powered solutions that create measurable business value. This is a hands-on role for someone who enjoys solving complex problems, working across engineering and customer teams, and turning ambitious ideas into production-ready applications. What You'll Do Partner directly with customers to understand business challenges and translate them into technical solutions. Design, build, and deploy Generative AI applications tailored to customer needs. Rapidly prototype AI-powered products and iterate based on customer feedback. Develop scalable backend services and APIs using TypeScript. Architect and deploy cloud-native applications on AWS. Integrate Large Language Models (LLMs), vector databases, and modern AI frameworks into production systems. Build secure, reliable, and performant data pipelines to power AI applications. Collaborate with product managers, engineers, and stakeholders throughout the deployment lifecycle. Optimize AI solutions for performance, reliability, and cost. Help establish best practices for AI engineering, deployment, and customer success. What We're Looking ForRequired Skills: Strong software engineering experience with TypeScript. Experience building and deploying applications on AWS. Hands-on experience developing Generative AI applications using modern LLMs. Strong understanding of AI application architecture, APIs, and distributed systems. Experience working with structured and unstructured data. Ability to rapidly prototype solutions and iterate in fast-moving customer environments. Excellent problem-solving and debugging skills. Strong communication skills with the ability to work directly with technical and non-technical stakeholders. Comfortable working in ambiguous environments and owning projects from concept to deployment. Nice to Have Experience with Retrieval-Augmented Generation (RAG). Knowledge of vector databases and semantic search. Experience with Python alongside TypeScript. Familiarity with AI orchestration frameworks such as LangChain, LangGraph, or similar. Experience with CI/CD pipelines, Infrastructure as Code, and containerization. Knowledge of modern frontend frameworks such as React or Next.js. Experience working with enterprise customers. Technologies You'll Work With Generative AI Artificial Intelligence (AI) AWS TypeScript Large Language Models (LLMs) Rapid Prototyping APIs Data Engineering Vector Databases RAG React / Next.js Node.js Git Docker What Success Looks Like Deliver AI solutions that solve real customer problems. Build production-ready applications in weeks, not months. Become a trusted technical advisor for customer engagements. Drive innovation through rapid experimentation and iterative development. Help shape the future of enterprise AI deployments. Ideal Candidate You're an engineer who thrives at the intersection of software engineering, customer engagement, and AI innovation. You enjoy moving quickly, building practical solutions, and deploying modern AI applications that have immediate business impact. JBRP1_UKTJ

NCR Voyix in Bath, GBR is seeking a L2 Support Engineer to deliver technical IT support for a global platform-powered leader in unified commerce. Minimum 1 year in IT operations with Linux, and strong networking knowledge are required; Kubernetes/Docker and cloud exposure are beneficial. You will mo

A leading UK infrastructure company is seeking an Azure Infrastructure Engineer to design and implement secure cloud solutions using Microsoft Azure.

A renowned cybersecurity company is searching for a driven Senior Software Engineer to assist their enterprise end client in the development of services that are hosted on public cloud platforms. You will design and deploy robust frontend client, backend services, infrastructure automation, and clou

An opportunity has arisen with a global Tech Solutions company for an AWS DevOps Engineer to join a talented Agile team working on secure and scalable cloud infrastructure. Working on a high-profile MoD Programme, the AWS DevOps Engineer will design, implement and support infrastructure and leverage

Senior Cloud DevOps Engineer - Fully Remote (UK only) - 80 - 85k. This group is investing heavily in AWS, automation and data driven solutions, and they are hiring a Senior Cloud DevOps Engineer who wants ownership, autonomy and the chance to shape future cloud standards. Promote DevOps culture, aut

QA Test Infrastructure Engineer - Contract - MOD/Defence Somerset| £600 per day | Outside IR35 | DV Security Clearance Required Are you an Infrastructure Test Engineer with strong QA and testing experience across networks, platforms and Infrastructure as Code? This is an opportunity to work on complex Defence and National Security projects, taking responsibility for testing and validating infrastructure before deployment into highly secure production environments. Working alongside Infrastructure Engineers, Architects and DevSecOps specialists, you'll assure infrastructure across physical, virtualised and cloud environments, ensuring it meets the required standards for functionality, resilience and security. What you'll do Create infrastructure-focused test strategies, plans and test cases. Carry out functional, integration, regression, resilience and security testing. Test and validate Infrastructure as Code deployments. Validate physical, virtualised and cloud infrastructure. Provision and verify test environments alongside DevSecOps teams. Build infrastructure validation and readiness testing into CI/CD pipelines. Identify defects, risks and infrastructure issues ahead of production. Support security assurance, compliance and accreditation activities. Maintain appropriate test evidence and traceability.What you'll need Strong infrastructure knowledge combined with hands-on testing and assurance experience, including: Current, DV Security Clearance Networking - TCP/IP, DNS, DHCP, routing, switching, VLANs and firewalls. Linux/Unix administration and troubleshooting. VMware and virtualised infrastructure. Physical infrastructure including routers, switches and cabling. Terraform and Ansible. Kubernetes. AWS, Azure or GCP. Jenkins, GitLab CI or GitHub Actions. Automated infrastructure validation and environment readiness testing. Secure-by-Design, IAM, OS hardening and network segmentation. If you're an Infrastructure Engineer with strong testing experience who enjoys getting into the detail of how infrastructure performs, integrates and stands up before production, get in touch. Expenses are available if you require staying over to be on site 5 days per week

Senior Infrastructure Engineer - Somerset - Highest Security Clearance Needed - £600 P/Day Outside IR35 We're working with a specialist digital innovation partner delivering secure, mission-critical technology to Defence and National Security organisations. You'll join a team tackling complex infrastructure challenges across highly secure environments, working alongside engineers, architects and delivery specialists. The Role As a Senior Infrastructure Engineer, you'll help design, build and deliver secure digital solutions supporting critical operations. Your responsibilities will include: Configuring and hardening Cisco Nexus Leaf/Spine architectures for high-throughput, low-latency traffic. Initialising and presenting NetApp storage arrays, ensuring data-at-rest encryption is enforced. Building and hardening Hyper-V clusters supporting core services such as AD, DNS and PKI. Supporting the enablement and integration of VMware Cloud Foundation (VCF) private cloud environments. Initialising and managing HSM/KMS appliances, including leading key ceremonies within high-assurance environments. Carrying out professional rack-and-stack and secure cabling in accordance with high physical-security standards. What We're Looking For We're particularly interested in engineers with experience across: Cisco Nexus or equivalent networking technologies. NetApp ONTAP or equivalent enterprise storage. Deploying Hyper-V in high-availability, high-security environments. VMware Cloud Foundation (VCF 5+). Hardware-based cryptographic systems such as HSM/KMS. Windows Server 2022/2025. Secure infrastructure environments and physical infrastructure builds. Security Clearance Due to the secure nature of the role and working environment, candidates must hold the highest level of UK Security Clearance. Engineer with a strong background in secure enterprise infrastructure and are interested in working on mission-critical technology, get in touch to find out more. Senior Infrastructure Engineer - Somerset - Highest Security Clearance Needed - £600 P/Day Outside IR35

Senior Infrastructure Engineer - Outside IR35 / MOD / Defence - High Security Clearance £550-£600 per day Outside IR35 (expenses if required) Somerset | On-site DV Cleared Are you an Infrastructure Engineer with strong hands-on experience across networking, storage, virtualisation and Windows infrastructure? This is a contract role working on the build and deployment of infrastructure within a highly secure Defence environment in Somerset. You'll be working across the physical and virtual infrastructure stack, including Cisco Nexus networking, NetApp storage, Hyper-V, VMware and Windows Server. This is a hands-on engineering position, suited to someone comfortable building, configuring and hardening infrastructure rather than purely supporting an established environment. The role Working alongside infrastructure engineers and architects, you'll be responsible for areas including: Configuring and hardening Cisco Nexus Leaf/Spine network infrastructure Initialising and presenting NetApp storage, including data-at-rest encryption Building and hardening Hyper-V clusters for core services including AD, DNS and PKI Supporting the integration and enablement of VMware Cloud Foundation (VCF) Working with HSM/KMS appliances and hardware-based cryptographic systems Supporting key management and key ceremony activities Building and configuring Windows Server 2022/2025 environments Completing physical infrastructure installation, including rack-and-stack and secure cabling Working to the security and engineering standards required within a Defence environmentWhat you'll need You'll need strong infrastructure engineering experience, ideally including: Cisco Nexus or equivalent enterprise networking technologies NetApp ONTAP or comparable enterprise storage Hyper-V deployment within highly available environments VMware Cloud Foundation, ideally VCF 5+ Windows Server 2022/2025 Understanding of AD, DNS and PKI Experience with HSM/KMS technologies would be beneficial Experience delivering physical infrastructure, including rack-and-stack and cablingDue to the nature of the project, you'll need to have active DV Clearance. If your background covers networking, storage and virtualisation and you're comfortable delivering infrastructure hands-on within a secure Defence environment, this is an opportunity to work across the full infrastructure build rather than being limited to one technology area

This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started

Winton Capital US LLC is seeking a Senior Software Engineer to design, build, and evolve resilient, cloud-distributed systems. You will work across the full engineering lifecycle, gathering requirements directly from the business and owning solutions end-to-end.

We are looking for a senior technical leader to join our Cloud Engineering & Architecture team and play a pivotal role in enabling the firm to maximize its use of cloud infrastructure. As part of Core Engineering at Goldman Sachs, the CE&A team is responsible for enabling the use of public cloud ser

Vodafone Group Plc is seeking a Lead AI Software Engineer to drive AI-native software delivery across squads, translating complex designs into scalable, production-ready solutions. You will guide engineers and AI agents, ensuring quality, security, and operational readiness while aligning with busin

Nebius is building a full-stack AI cloud platform and is hiring a Senior Software Engineer to help scale Nebius Serverless AI in a hybrid London/Amsterdam setting.

JPMorganChase is seeking a Senior Lead Software Engineer to join an agile team focused on building trusted market-leading technology products in a secure, scalable way. Responsibilities include setting technical direction, driving secure coding and performance, and mentoring engineers.

The ideal candidate should have extensive experience in Sales Engineering and a solid understanding of data protection and cloud technologies. Santa Clara, CA, is looking for a Senior Sales Engineer to provide technical support in enterprise sales engagements.

Morgan is seeking a Cloud Engineering Acceleration engineer (Team XLR8) to accelerate delivery of public cloud solutions with reliability and security for high-impact projects. Strong programming skills in Java/Go/Python and hands-on cloud experience are required, along with leadership and excellent

Morgan in London seeks an experienced software engineer to deliver secure, production-grade code and lead data projects across engineering, product managers and stakeholders. The role emphasizes AI-assisted development, secure coding practices, and a strong SDLC, with mentorship to junior engineers

Catapult is hiring a Principal DevOps Engineer based in London to design, build, and test the next generation of our cloud platform that unifies video, wearables and athlete data to empower coaches and athletes.

Sky is seeking a Principal Engineer to lead data engineering initiatives, shaping cloud-native data platforms and architecture. You will partner with Solution Architects, advance engineering maturity, and set standards across multiple squads.

Pulse Group is seeking two Staff Security Engineers to help lead a modern cloud security function in the UK. This role offers real autonomy, high impact, and the chance to shape the security posture of a large-scale cloud.

Jefferies, a global investment bank, seeks a Senior Full Stack / Native Cloud Engineer at VP level to join London Technology. You will lead end‑to‑end design and delivery of scalable, cloud‑native platforms enabling data‑driven, intelligent solutions across client‑facing units.

The role combines hands-on engineering with strategic direction, mentor ship, and driving best practices in data governance and security to deliver business value across the organization. United States Digital Space LLC is seeking a Principal Software Engineer to lead our Data Technology Platforms i

Rowe Price Labs’ AI Engineering team in London seeks an experienced Lead Software Engineer to design and deliver production-grade AI systems. You will mentor engineers, shape architecture, and drive scalable AI products across the firm, collaborating with product owners and business stakeholders.

Morgan is seeking a Senior Lead Software Engineer to join the Data Platforms team within the Chief Data & Analytics Office in London. You'll guide design, governance, and delivery, mentor engineers, and work across domains from metadata to distributed systems, with a focus on secure, high-quality pr

You will drive cloud engineering across AWS and Azure, own networking design, and lead IaC, CI/CD, and Kubernetes platforms as products. Trayport seeks a Principal Platform Engineer to anchor our Platform/Operations in London.

Robinhood in London is seeking a Senior Backend Engineer to join the Custody Services team, building the crypto processing infrastructure, wallet and key management workflows, and third-party integrations.

London is seeking a Senior Software Engineer to help develop the next generation of cloud services infrastructure focused on customer data protection. You will work on core components of iCloud and contribute to Advanced Data Protection initiatives.

In this role you will operate across endpoint, identity, cloud, and SaaS environments, partnering with Security Operations, IT, and Engineering to reduce real risk.

Avalara seeks a Principal Security Sales Engineer to act as the technical security authority across the customer lifecycle, bridging Security, Product, Engineering, Legal, and Sales.

As a Lead Software Engineer at JPMorgan Chase within Public Cloud Engineering – Infrastructure Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. Strong understanding of

Yapily is hiring a Senior DevSecOps Engineer to embed security across the SDLC for our scalable, multi-tenant platform built on GCP and Kubernetes. You will own security tooling, automate compliance, and harden IAM, networks, and deployment pipelines while collaborating with engineering and governan

JPMorganChase is seeking a Lead Software Engineer to join the Corporate Global Tax Technology team. You will join an agile unit delivering trusted, scalable technologies in a secure environment, driving innovation with AI-assisted practices and modern cloud architectures. You will lead design, devel

Synergize Consulting Ltd is seeking a Principal Data Engineer (SC clearance) to join a leading defence client on a contract basis in Berkshire. The role focuses on designing scalable, secure, and resilient data platforms and mentoring engineering teams. Experience with Azure, AWS, or Google Cloud is

JPMorgan Chase is seeking a Lead Software Engineer within Public Cloud Engineering – Infrastructure Platforms. The role emphasizes delivering production-grade code, guiding AI-assisted development practices, and advancing engineering excellence through shared knowledge and robust SDLC discipline.

This is a strategic, hands‑on engineering leadership role focused on designing and delivering scalable, cloud‑native, event‑driven platforms that enable data‑driven and intelligent solutions across Jefferies’ client‑facing business units. This role is well suited to an engineer who is co

You will collaborate with SOC, CSIRT, Detection Engineering, Platform Engineering and Cloud teams to ensure high‑quality, cost‑effective security data for monitoring, investigation, threat hunting and. G-Research in London seeks a Security Data and Platform Engineer to own the onboarding, tuning