Machine Learning Jobs

• London
• Hybrid · 3 days in office
• Senior

Lead translational pharmacology for an AI-first drug discovery team, shaping neurodegeneration strategy and target validation. Design screening cascades, profile AI-designed molecules, and manage CRO studies while bridging computational and experimental biology.

SPR · TR-FRET · Mass Spectrometry

• London
• Hybrid · 3 days in office
• Senior

Research Engineers build and optimise state-of-the-art AI models for drug design, working across the full ML lifecycle from experimentation and evaluation to production deployment. The role involves developing robust codebases, data pipelines and training infrastructure, with a focus on architectures such as Transformers, GNNs and diffusion models, in close collaboration with scientists and engineers.

JAX · PyTorch · XLA +6

• London
• Hybrid
• Senior
• Permanent

Develops next-generation generative world models and planners such as GAIA, simulating complex driving environments for faster training and scalable deployment. Works across diffusion, transformer and hybrid architectures, optimising inference latency and building interactive models for reinforcement learning and safety evaluation. Involves setting technical direction, mentoring researchers and publishing at top venues.

PyTorch · GAIA · Transformer +1

• 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" and shaping AI strategy from pre-sales discovery through production adoption. Owns technical account plans across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, leading discovery, architectures, evaluations and proofs of value while coordinating deployment, enablement and partner specialists.

ChatGPT Enterprise · OpenAI API · Codex +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 for safety and performance, and builds CI/CD tooling with PyTorch, TensorRT and GitHub Actions. Works across ML engineering, AI Platform, evaluation and product to unblock delivery bottlenecks.

PyTorch · TensorRT · GitHub Actions +1

• London
• Hybrid
• Mid-level
• Permanent

Builds and operates the platform that deploys, configures and manages models across ChatGPT, spanning deployment orchestration, rollouts, capacity planning and operational automation. The role focuses on turning complex operational processes into reusable, scalable platform capabilities, working closely with research, infrastructure and product teams.

GPU · ChatGPT

• 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

• Bristol
• On-site
• £54,000 – £58,000 pa
• Mid-level

Develops and evaluates image processing, computer vision and deep learning algorithms for imaging sensor systems, covering segmentation, noise removal, tracking, pose estimation and classification. Works on-site in Bristol within a cross-functional team, supporting research into emerging AI/ML technologies and integrating algorithms into larger operational systems.

Python · C++ · SAR +3

• London
• Mid-level
• Permanent

Develops and maintains LLM instruction iterations and evaluation frameworks, including automated eval pipelines, LLM-as-a-judge methodologies, rubric design and dataset curation. Partners with applied scientists and engineers on retrieval augmentation, context enrichment and fine-tuning, analysing large-scale multimodal interaction data and running A/B tests to improve conversational shopping quality.

MCP · ETL

• Gloucestershire
• Hybrid
• £51,000 – £60,500 pa
• Senior

A varied engineering role spanning research, product and service development, with a focus on AI and computer vision (object detection and tracking). You lead software design, development, testing and deployment within multidisciplinary teams, and act as a subject matter expert advising clients on architecture. Python and C++ on Linux, with DevOps, MLOps and SDLC practices.

Red Hat · Ubuntu · Pandas +6

• London
• Remote
• £75,000 – £105,000 pa
• Senior

Design, build and deploy production-grade LLM applications, RAG solutions and scalable data pipelines for enterprise clients at a growing technology consultancy. The role spans software engineering, data engineering and AI delivery, with a focus on taking solutions from proof of concept into production rather than research.

Databricks · MLflow · LangChain +5

• United Kingdom
• Hybrid
• Senior

Designs, builds and tests intelligent systems for defence and security clients, covering signal processing, radar, computer vision, transformers and edge AI. Takes technical ownership of significant project parts, mentors junior engineers, and works directly with clients on proposals and new work. Requires SC clearance and substantial time on-site.

Transformers · Edge AI

• United Kingdom
• Hybrid
• Senior

Take technical ownership of AI projects for defence and security clients, designing and building agentic systems that search, interpret and act on information. Lead smaller projects, mentor junior engineers, and work directly with clients on proposals and new work. Requires SC clearance and UK residency.

• London
• Remote
• £80,000 – £95,000 pa
• Senior
• Permanent

Hands-on senior role in a newly formed team building applied Generative AI products for synthetic data generation and augmentation. You will design, validate and productionise LLM-based solutions, working closely with Product and Engineering, and communicate methodology to non-technical stakeholders. High autonomy and end-to-end ownership from problem definition to delivery.

RAG

• Switzerland
• Remote
• Senior

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python skills plus deep knowledge of ML framework internals and CPU/GPU architectures.

JAX · PyTorch · TensorFlow +4