Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Mid-level

Join the model performance and scaling team to implement and optimize LLM post-training methods on frontier models, collaborating with research teams to turn new methods into production-ready systems. The role focuses on distributed training and inference performance, low-precision methods, and frameworks like JAX or PyTorch, in a hybrid London setting.

JAX · PyTorch · NCCL +5

• London
• Hybrid · 3 days in office
• Lead

Owns the safety assessment strategy for drug discovery projects from inception to regulatory submission, designing screening cascades and mechanistic experiments for small molecules and biologics. Guides development of an AI predictive toxicology platform with ML researchers and manages CRO relationships, as all wet-lab work is outsourced.

AI/ML

• Portugal - Field
• Senior

Owns test planning, coordination and execution within a cross-functional Identity Verification product team, covering web, mobile, backend and ML-powered verification journeys. Builds maintainable automated test frameworks and suites, mentors colleagues, and leads quality initiatives across engineering teams. Combines automation with exploratory testing and works with TypeScript, Ruby, Python, Playwright, Cypress, Selenium and CI/CD pipelines.

Playwright · Cypress · Selenium +12

• United Kingdom - Field (Onfido)
• Senior

Owns test planning, coordination and execution within a cross-functional identity verification product team, covering web, mobile, backend and ML-powered journeys. Builds maintainable automated test frameworks, blends automation with exploratory testing, and mentors colleagues while improving CI/CD pipelines and release feedback loops.

Playwright · Cypress · Selenium +12

• London
• On-site
• £47,500 pa
• Entry level
• Contract

Lead a computational project modelling how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer. Develop graph neural networks, transformers and generative AI on large-scale spatial transcriptomics, single-cell and imaging data, in a cross-institutional collaboration with the Wellcome Sanger Institute's Lotfollahi Lab.

PyTorch · JAX · NumPy +1

• Sheffield
• £50,000 – £60,000 pa

Build and deploy AI-powered tools, automations and integrations that solve real business problems, working directly with stakeholders to translate requirements into working solutions. The role spans Python, JavaScript or PHP development, LLM integration and process automation, with a focus on rapid delivery, testing and safe adoption across the business.

AI · Large Language Models

• United Kingdom
• Remote
• £400 – £500 pd
• Contract

Building a specialist team for a major AI and MLOps programme, covering design, development and operation of modern AI platforms. Focus on Python ecosystems, Kubernetes-based infrastructure, developer tooling and MLOps, with roles spanning architecture, engineering and service delivery. OpenCode positions emphasise TypeScript/JavaScript, while architecture roles need Python platform design experience.

EricAI · Hopsworks · OpenCode +5

• 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
• 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

• Sheffield
• Hybrid · 3 days in office
• £55,000 – £60,000 pa

Build-focused role creating AI-powered tools, workflow automations and integrations that remove manual effort across a UK tech business. You work directly with internal teams to understand their needs, ship working solutions quickly, and embed generative AI into existing systems. Distinct for its practical, non-research emphasis and cross-department collaboration.

Generative AI · Large Language Models

• Canada; United Kingdom; United States
• Remote
• US$100 ph
• Internship · Part time

Mentor-guided research residency turning open AI safety questions into empirical work: designing controlled experiments, building evaluation harnesses and agent environments, and studying failure modes like deception, collusion and misuse. Residents meet weekly with an SLPreP researcher and are expected to produce a conference paper.

NeurIPS · ICML · ICLR

• London
• Remote
• £60,000 – £70,000 pa
• Mid-level
• Permanent · Flexible

This role involves extending and improving a 22-agent agentic AI platform that connects fragmented school data and surfaces actionable insights. Responsibilities include building and refining agent sub-graphs, improving prompt engineering, and contributing to LLM benchmarking. The platform integrates multiple LLMs and uses LangGraph with a supervisor-of-supervisors architecture.

• Munich - Berlin - London - Paris

Work at the intersection of machine learning and signal processing on RF data, building models that detect, classify and reason about signals in congested, contested spectrum for electronic warfare systems. Own problems end-to-end, from reading literature and prototyping on real recorded data to pushing models to edge hardware under hard latency and compute budgets, in a small research team alongside RF and hardware engineers.

ONNX · TensorRT

• Munich - Berlin - London - Paris

Builds and deploys reinforcement learning agents for an autonomous aerial platform, owning the pipeline from large-scale simulation training to real-time deployment on flight-ready hardware. Works on multi-agent RL, partial observability and latency-constrained runtime integration in Python, Rust or C++.

GPU-based Simulators