Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Senior

Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. They design and run experiments, analyse model performance, and advise on bringing models to production, working closely with research scientists in a cross-disciplinary team.

JAX · PyTorch · XLA +6

• United Kingdom
• Remote
• Permanent

Backend-leaning full-stack role building and expanding Creative Agents that turn ideas into audio, image and video. You'll own production agent systems end to end, covering prompts, tool use, orchestration, MCP integrations, asynchronous generation pipelines, observability and shared evaluations, working in a small autonomous team on a live product.

MCP

• United Kingdom
• Remote
• Permanent

Design, build and maintain open source SDKs, client and server libraries and an MCP server to drive developer adoption, while shaping the public API and developer tooling. Acts as "customer zero" for new developer products, jumping across languages and the stack, with scope to write technical content and speak at conferences.

MCP

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Senior technical owner for a named portfolio of enterprise customers, acting as the "CTO of your book of business" from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures spanning models, data, integration, security and evaluation while coordinating deployment, enablement and partner specialists.

ChatGPT Enterprise · OpenAI API · Codex +1

• London
• Hybrid
• Lead
• Permanent

Owns the technical architecture and roadmap for LiDAR and cross-sensor 3D sensing, developing calibration, registration, temporal alignment and motion compensation methods. Blends algorithm research with production deployment in C++/Python, providing technical leadership and mentorship across the 3D sensing stack.

GTSAM · Ceres Solver · g2o +1

• London
• Hybrid
• Senior
• Permanent

Owns the engineering release process for autonomous driving models, defining branching strategies, release cadence, configuration management and quality gates. Reviews model, architecture and code changes against intended outcomes, assesses evaluation results and builds CI/CD tooling and observability to deliver ML systems reliably at scale.

PyTorch · TensorRT · GitHub Actions

• London
• Hybrid
• Lead
• Permanent

Provide scientific leadership across model evaluation and applied use cases, ensuring foundation models stay grounded in drug development and translational research challenges. Act as a key scientific partner to the research team, mentor junior colleagues, and work with Product and Business Development to turn biology and ML into customer-facing deliverables.

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

Builds and scales the infrastructure that trains and deploys AI agents, spanning a novel in-house container orchestration platform, FastAPI and gRPC APIs, and Terraform-managed cloud systems. Works closely with researchers on large-scale training runs and with product teams launching agentic products to hundreds of millions of users.

Kubernetes · FastAPI · gRPC +7

• Bristol
• Entry level
• Internship

Research and develop techniques to GPU-accelerate leading high performance computing applications across scientific computing, computational engineering and data science. The intern performs in-depth analysis and optimisation for current and next-generation GPU architectures, working with application developers and collaborating with architecture, research, libraries, tools and system software teams.

CUDA · OpenACC · GPU

• Bristol
• On-site
• Entry level
• Internship

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts from industry and academia to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The intern also publishes optimisation techniques via developer blogs or conferences and helps influence next-generation hardware, software and programming models.

CUDA · OpenACC · OpenMP +4

• Cambridge
• Remote
• Entry level

Supports the design and implementation of AI, ML, GenAI and agentic AI solutions to optimise clinical trial design and execution across R&D. Builds GenAI applications for automated documentation such as protocols, clinical study reports and SAPs, and runs model evaluation and quality testing. Requires Python, SQL, LLM, prompt engineering and RAG familiarity.

GenAI · LLM · RAG

• London
• Remote
• Entry level

Supports the design and implementation of AI, ML, GenAI and agentic AI solutions to optimise clinical trial design and execution across R&D. Builds GenAI applications for automated clinical trial documentation such as protocols, study reports and SAPs, and evaluates model accuracy, relevance and consistency. Requires Python and SQL skills plus familiarity with LLMs, prompt engineering, RAG and cloud platforms.

GenAI · LLM · RAG

• London
• £80,000 – £105,000 pa

Hands-on engineering role designing, building, deploying and supporting production-grade AI solutions in a professional services environment. Day to day involves developing AI applications, agents and automations with Microsoft technologies such as Copilot Studio and Azure AI Foundry, designing prompts and grounding strategies, and integrating AI into existing workflows. Distinct for its emphasis on real-world delivery over research or proof-of-concept work, plus close stakeholder collaboration and governance, security and compliance responsibilities.

Microsoft Copilot Studio · Azure AI Foundry · Azure DevOps

• Bristol
• On-site
• £50,000 – £58,000 pa
• Permanent

Research, develop and evaluate image processing and computer vision algorithms for advanced defence applications, applying AI and machine learning to complex imaging challenges such as segmentation, tracking, detection and classification. Work alongside multidisciplinary specialists using Python, MATLAB or Simulink, with a predominantly onsite pattern of four to five days per week in Bristol.

Python · MATLAB · Simulink +1