Artificial Intelligence Jobs

• London
• Hybrid
• £600 – £644 pd
• Mid-level
• Contract

Builds production-grade GenAI and Agentic AI products within a product squad, using LLMs, RAG and agentic workflows. Requires strong Python engineering plus LangGraph, vector search, evaluation and Azure AI services to deliver secure, maintainable AI applications.

Azure · Azure OpenAI · Azure AI Search +7

• Cambridge
• Hybrid
• Permanent

Builds AI prototypes combining multiple components to solve complex, nuanced tasks, integrating novel agentic technologies such as memory usage and personalization. Productionises solutions into reusable libraries and frameworks, shipping features and tools for large enterprise customers from day one. Works with LLMs like GPT, Claude and Mistral in a fast-moving, quality-focused team.

GPT · Claude · Mistral

• London
• Hybrid
• £500 pd
• Mid-level
• Contract

Design and build agentic AI systems with multi-step reasoning, multi-agent orchestration and scalable AI microservices in Python and Azure OpenAI. Develop RAG architectures, vector search and orchestration workflows using Semantic Kernel and LangGraph, integrating enterprise systems via MCP. The role also covers AI governance, safety and deploying LLM services into production within a large retail environment.

Azure OpenAI · Azure AI Foundry · Azure AI Search +7

• London
• On-site
• £50,000 – £60,000 pa
• Mid-level
• Permanent

Design and evolve production multi-agent systems using Anthropic, OpenAI and Perplexity models on AWS, extending the company's MCP server with new tools. Build the eval and observability layer with golden datasets, regression suites and LLM-as-judge, own AWS infrastructure (ECS Fargate, Lambda, Step Functions, Bedrock) and guard against prompt injection and PII leakage. Set technical direction and mentor engineers.

Anthropic · OpenAI · Perplexity +7

• London
• Hybrid
• £70,000 pa
• Mid-level

Joins a Data Science & AI team to identify high-value GenAI use cases and productionise scalable AI services on AWS. Works in a cross-functional squad with DevOps, data engineers and Infosec, enhancing MLOps, CI/CD pipelines and an in-house AI Python library while assessing third-party LLM technologies.

AWS · pandas · scikit-learn +6

• Butterrow
• £55,000 – £65,000 pa

Designs and builds real-time embedded software in C and C++ for sensors and microelectronics, alongside ML pipelines, CI/CD, and live model monitoring. Develops generative AI and LLM systems including RAG and fine-tuning, plus Spark or dbt ETL pipelines and IoT data services. Works in a small team owning the full SDLC from clean-sheet design to tested, deployed code.

Spark · dbt · CI/CD +1

• London
• £90,000 – £120,000 pa

AI EngineerLondon (Hybrid, 1 Day per Week Onsite)Are you ready to help build the future of AI from the ground up?Our client isn't buying off-the-shelf solutions or stitching together existing products. They're building a proprietary AI platform from first principles,…

• London
• Hybrid · 3 days in office
• £80,000 – £85,000 pa
• Mid-level

Design, build and deploy scalable AI and machine learning solutions from concept to production, including Generative AI applications using LLMs and orchestration frameworks. Write production-grade Python, apply MLOps practices such as CI/CD, containerisation and monitoring, and build data pipelines for training, fine-tuning and inference. Work hybrid in London alongside data scientists, engineers and business stakeholders on large-scale datasets.

LLMs · Orchestration Frameworks

• London

Owns the product capability for post-training LLMs, turning research methods into deployable model improvements for customers. Builds reliable training harnesses covering data prep, evaluation and serving, applying SFT, preference optimisation, RLHF/RLAIF, distillation and verifier-based approaches. Works closely with Research and platform teams, with a roadmap spanning SaaS, VPC and air-gapped deployments.

PyTorch · LLMs · SaaS +1

• London
• Hybrid
• £550 – £650 pd
• Lead
• Contract

Lead a London specialty insurer's first AI initiative from a blank slate, identifying and prioritising use cases such as broker submissions, document processing and claims data. Shape the data, tooling and governance foundations, then build and ship production solutions using LLMs, RAG and cloud AI services. The role also involves explaining work to senior stakeholders and handing over to the in-house team.

Azure · AWS · GCP

• Cambridge
• Hybrid · 3 days in office
• Entry level
• Internship

An 8-week internship embedded in a software engineering team, working alongside and mentored by an engineer from day one. Interns contribute to real engineering work at a fast-paced AI company, with a MacBook Pro and extra computing resources provided. Requires at least three days a week on-site in Cambridge, with up to two days remote.

MacBook Pro

• London
• Hybrid · 3 days in office
• £95,000 – £105,000 pa

Hands-on role designing, building and maintaining production AI solutions across a professional services firm, focused on legal service delivery, knowledge management and operational efficiency. Work spans Copilot Studio, Azure AI Foundry and Azure DevOps, with prompt design, grounding strategies, agentic AI and integration into core business systems, alongside senior stakeholders and knowledge teams.

Microsoft Copilot Studio · Azure AI Foundry · Azure DevOps +2

• Windsor
• Hybrid · 1 day in office
• £550 – £600 pd
• Senior
• Contract

Hands-on contract role designing, testing and optimising production-grade LLM prompts for chatbots, voice bots, IVR and messaging channels. Involves building agentic AI workflows with tool calling and multi-step reasoning, implementing RAG and evaluation frameworks, and adding guardrails for privacy, PII and hallucination reduction. Works with engineering, product and CX teams on a major digital transformation programme.

Git · CI/CD · IVR +1

• London
• On-site
• £80,000 – £120,000 pa
• Mid-level
• Permanent

Builds, evaluates and optimises LLM, agentic AI and computer vision systems for financial crime compliance, including fine-tuning foundation models and training custom models. Develops benchmarks, back-testing and evaluation pipelines, and creates human-feedback improvement loops, working closely with engineering and product teams.

• London
• Hybrid · 2 days in office
• £62,000 – £75,000 pa
• Mid-level

A brand new AI Engineer role within a 20-person AI team in the financial sector, designing and deploying production-scale GenAI and machine learning solutions. Day to day involves building scalable AI models, integrating AI into existing systems, analysing large datasets, and collaborating with cross-functional teams and stakeholders. The tech stack centres on Azure services and Python or C#.

Azure · Azure Fabric · Azure Data Factory +7