11 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 (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...

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...

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...

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...