16 ai engineer jobs found in London

AI Engineer - LLM & Agentic Systems London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. Agentic AI / Machine Learning. Company: Our client is a globally established B2B information and professional services business, operating across multiple high-value industry sectors. They have established data science and machine learning engineering teams already delivering in production, and are now expanding their AI capability significantly across the global organisation. This is a role for people who ship. If you've built LLM-powered systems and agentic workflows that are live in production - not demos, not prototypes - and you want to do that at genuine scale, this is worth applying for. What you'll be working on as an AI Engineer - LLM & Agentic Systems: Designing and building AI agents and agentic workflows - combining LLMs, RAG, reasoning, memory and tool orchestration to...

*New Role - Forward Deployed AI Engineer - Outside IR35* We are supporting a leading investment business on a major AI enablement initiative and are looking for a Forward Deployed AI Engineer to embed directly into the organisation. This is a hybrid role sitting between AI engineering, business process transformation and operational enablement. The focus is not just building AI solutions but redesigning workflows, identifying high-value use cases and driving real AI adoption across the business. Key Responsibilities - Identify and redesign operational workflows using AI - Build AI-enabled processes and requirements - Support organisation-wide AI adoption and prompt engineering - Work closely with leadership and operational stakeholders - Help establish a compliant environment for Claude and future AI agents - Drive practical AI implementation across existing systems and teams Ideal Candidate - Strong AI enablement or Forward Deployed Engineering background - Excellent...

SC Cleared AI Engineer Contract Details: Day Rate: £500 - £750 IR35 Status: Outside IR35 Duration: 6 months (initial) Location: London (Hybrid: 2 days per week on-site) The Role: Immediate requirement for an AI Engineer on a 6-month initial contract. The project involves architecting and deploying Large Language Model (LLM) solutions and Machine Learning pipelines within the defence sector. Required Skills & Experience: Active SC Clearance (mandatory) Prior experience on Ministry of Defence (MOD) projects Python Applied Machine Learning and LLM integration RAG (Retrieval-Augmented Generation) systems LangChain or LangGraph To Apply: Submit a CV and confirmation of active SC clearance status.

AI Engineer & Java Developer - Fintech/Challenger Bank, LTD CO OUTSIDE IR35, 6 months, London Hybrid Our Fintech Banking Payment Service client based in London seeks a proactive, hands-on AI Engineer with Claude or Codex & Java Developer with solid expertise in Claude or Codex AI Tooling, Agentic AI, Java Development using Spring Boot within a Fintech Challenger Bank setting. The ideal candidate MUST HAVE previous experience working in a startup/scaleup Fintech Financial Services environment. Any ISA product implementation/integration experience is an advantage but not essential. AI skills in Codex, Claude is highly sought as my client is looking for someone who is an AI Enthusiast. Our client is hiring a hands-on Java Developer to support delivery and development of Savings products within their engineering function. The emphasis is on people who can work proactively and be technically self sufficient and key skills again are Java, Spring Boot, AI Tooling, Agentic AI...

AI Engineer (LLMs/Agentic AI/Python) – Hybrid (London – 2/3 days onsite per week) – (£500-600/DAY OUTSIDE IR35) We are currently supporting a cutting-edge AI software company building advanced agentic AI and memory systems for enterprise clients operating within highly regulated environments. They’re looking for an AI Engineer to join on a subcontractor basis, helping architect intelligent multi-agent systems, memory write-back pipelines, and secure LLM integrations at scale. Tech Stack: • Python/FastAPI • LLMs & Agentic AI • MCP Integrations • GraphRAG • Async Architectures • Multi-Agent Systems • Knowledge Graphs • Streaming & Observability Key Experience: • Multi-agent orchestration in production • AI memory systems & write-back design • GraphRAG & retrieval architectures • MCP server integrations • Secure enterprise AI deployments • Agent guardrails & access control • Production-grade Python engineering Bonus...

Computer Vision ML Engineer Fully Remote 6 Month Contract Outside IR35 £550 to £600 per day The Company They are a global technology organisation with a dedicated research function focused on applied AI and graphics. The team operates at the intersection of machine learning, computer vision, and low-level optimisation, working closely with hardware accelerators on mobile devices. They combine research depth with practical delivery, aiming to push image and video quality beyond current standards. The Role and Deliverables Develop and experiment with advanced computer vision and machine learning techniques for image and video enhancement. Apply Generative AI approaches such as diffusion models and GANs to 2D-to-3D conversion and reconstruction problems. Work hands-on with graphics-focused pipelines, considering performance on mobile accelerators. Contribute to research outputs, including high-quality publications suitable for leading conferences....

Data Engineer - Outside IR35 - Contract - SC ESSENTIAL A rare opportunity to join our fast-growing technology company selling high-value software development services. You will be working within a Government department as part of an existing team to support the rollout of a new Database. Must have Several years' experience with data modelling, data mapping, and defining data standards Experience working with complex, multi-organisation data landscapes Track record of delivering clarity in the presence of ambiguity Experience working with senior stakeholders to define strategy Nice to have Experience working with central and/or local government Familiarity with housing / property / regulatory datasets Experience implementing data standards that have already been defined Your approach You are passionate about delivering great technical quality, whether building greenfield solutions or improving the quality of legacy systems You hold...

This is a hands-on Data Engineer role focused on building and optimising modern data pipelines across Fabric and Snowflake. You 'll play a key role in delivering scalable, secure, and high-performance data solutions that support analytics, reporting, and AI initiatives. Client Details Our client is an international organisation operating at the intersection of financial services, professional development, and data-driven products. They work with global institutions to deliver specialist solutions that combine domain expertise with technology and analytics. As they continue to evolve their digital capabilities, data is becoming a central pillar in enhancing both their internal operations and client-facing services. Description Design and deliver scalable ETL/ELT pipelines across Microsoft Fabric and Snowflake Build and maintain integrations from multiple data sources (APIs, files, feeds) Implement medallion...

Graph Data Engineer (Neo4j/Python/Graph Algorithms) – Hybrid (London – 2/3 days onsite per week) – (£500-600/DAY OUTSIDE IR35) We are currently supporting a cutting-edge AI software company building advanced graph-based reasoning infrastructure for enterprise environments across highly regulated sectors. They’re looking for a Graph Data Engineer to join on a subcontractor basis, helping design and scale complex knowledge graph systems powering next-generation AI/LLM workflows. Tech Stack: • Neo4j • Python/FastAPI • Graph Algorithms • GraphRAG • RDF/SPARQL • NetworkX/GraphBLAS • GCP/AWS • DuckDB/FalkorDB Key Experience: • Large-scale graph construction & ingestion • Graph traversal & query optimisation • Knowledge graph architecture • Graph algorithms (PageRank, Louvain, Centrality etc.) • Auditability & reasoning traceability • Production-grade Python engineering • Complex enterprise data environments Bonus Experience: • KG...

Senior Platform Engineer (GCP/Kubernetes/Terraform) - Hybrid (London - 2/3 days onsite per week) - (£500-600/DAY OUTSIDE IR35) We are currently supporting a cutting-edge AI software company scaling their platform infrastructure across enterprise clients in highly regulated environments. They’re looking for a Senior Platform Engineer to join on a subcontractor basis as the first dedicated infrastructure hire, helping build and automate a secure, multi-tenant cloud platform from the ground up. Tech Stack: • GCP/GKE • Kubernetes • Terraform • Helm • Docker • CI/CD • IAM/Security/Observability Key Experience: • Production-grade Kubernetes platforms • Multi-tenant infrastructure • Infrastructure as Code • Secure enterprise SaaS deployments • Monitoring, scaling & automation • Strong cloud security fundamentals Hybrid/Remote – preference for London-based engineers 6-month initial contract with high likelihood of extension £500–600/day...

Software Engineer | Bazel 📍 London 🏠 Hybrid work model - 3 days in the office, 2 days wfh 💶 Up to £600/day - Outside IR35 📄 6 months contract with possible extensions 5V Tech are working with a fast-growing deep tech company building a completely new class of AI accelerator hardware and software from first principles. They’re now looking for an engineer to take ownership of Bazel at scale and build the tooling infrastructure that powers the entire engineering organisation. This is a genuinely high-impact role in a greenfield environment, where you’ll help shape the build systems, developer workflows, and CI infrastructure from the ground up. What you’ll be working on: • Designing and owning Bazel rules and extensions • Scaling a large monorepo across Python , C++ , Rust , SystemVerilog, and ML workloads • Building reproducible, multi-language build pipelines • Optimising CI performance across large compute clusters • Improving the...

MLOps Engineer, Databricks Fully Remote 6 Month Contract Outside IR35 £550 to £650 per day Overview A leading organisation is looking for a Databricks-focused MLOps Engineer to take ownership of a dedicated ML Engineering environment, supporting a growing data science team and accelerating the route from model development into production. The business operates across a modern data landscape including both Palantir and Databricks, with some cross-platform integration expected as the environment develops. This role will focus specifically on the Databricks MLOps setup, ensuring it is performant, scalable, secure, well-governed, and able to support production ML products in a structured and repeatable way. The Role You will manage and improve the Databricks environments used by a team of 8 data scientists, with the team growing quickly as demand for ML products increases. The main focus is improving how models are deployed, monitored, governed, and supported in...

GCP / Kubernetes DevOps Engineer (Contract) £450+ per day (DOE) 12 months Outside IR35 London (3 days onsite) We are delivering a major secure government cloud transformation and are looking for a highly experienced Cloud DevOps / Platform Engineer to help build and run a secure private cloud environment from the ground up . This is a hands-on engineering role in a highly secure, air-gapped environment where reliability, security, and automation are critical. What You'll Do Build and operate infrastructure in Google Cloud Platform (GCP) Strong hands-on engineering with Kubernetes (GKE) - essential Use Terraform for Infrastructure as Code Build and maintain CI/CD pipelines (GitLab or similar) Work in secure, disconnected / air-gapped environments Support monitoring, logging, and system reliability (SRE practices) Improve performance, resilience, and cost efficiency What We're Looking For Strong commercial experience in GCP DevOps / Platform...

GCP/Kubernetes DevOps Engineer (Contract) £450+ per day (DOE) | 12 months | Outside IR35 | London (3 days onsite) We are delivering a major secure government cloud transformation and are looking for a highly experienced Cloud DevOps/Platform Engineer to help build and run a secure private cloud environment from the ground up . This is a hands-on engineering role in a highly secure, air-gapped environment where reliability, security, and automation are critical. What You'll Do Build and operate infrastructure in Google Cloud Platform (GCP) Strong hands-on engineering with Kubernetes (GKE) - essential Use Terraform for Infrastructure as Code Build and maintain CI/CD pipelines (GitLab or similar) Work in secure, disconnected/air-gapped environments Support monitoring, logging, and system reliability (SRE practices) Improve performance, resilience, and cost efficiency What We're Looking For Strong commercial experience in GCP DevOps/Platform engineering...

Senior Product Owner - AI-Accelerated Software Delivery Fully Remote £750 - £800 Outside IR35 Our client is seeking a Senior Product Owner to join a small, high-performing software delivery team operating within a complex, regulated environment. Their engineering teams are heavily AI-enabled and use AI tools throughout the software development lifecycle to accelerate analysis, implementation, testing, documentation, and QA. As delivery velocity increases, the quality, structure, and precision of product requirements become critical to ensuring successful outcomes. This role is central to enabling effective AI-accelerated delivery. You'll be responsible for ensuring engineering teams always have clear, prioritised, testable work with well-defined business intent, acceptance criteria, edge cases, examples, and verification guidance. This is not a passive backlog administration role. The successful candidate will play a hands-on role in shaping requirements,...

Agentic Quality Platform Lead – Contract – Tech for Good Oliver Bernard are currently working with an established Tech for Good client of ours, based out of London, who are looking to take on an 'Agentic Quality Platform Lead' to drive their Quality Engineering team towards a 'Quality as a Service' model and integrate / embed their processes into broader Platform and AI operations. The incoming contractor will need to have experience from a technical leadership perspective, and be able to drive Quality best practices to the extent that it removes their QA Engineers from Product teams and creates a self-sufficient Quality function that is comfortable on it's own two feet - without reliance on Platform or Developer teams. To be suitable for this position, the following expertise is required: Experience building Agentic Quality platforms to drive efficiencies across engineering teams Background as an SDET, with prior experience writing clean code and developing...