Machine Learning Jobs

• London
• Hybrid · 3 days in office
• Senior · manages people

Builds greenfield machine learning models and algorithms for drug discovery, designing new architectures, running experiments and scaling training and inference frameworks. Works in an interdisciplinary team of ML scientists, engineers and domain experts, with opportunities to lead projects and mentor others depending on experience.

JAX · PyTorch · TensorFlow +3

• London
• Hybrid · 3 days in office
• Senior

Join the Computational Sciences team to design novel large-molecule therapeutics using a cutting-edge AI drug design engine. You will develop computational and machine learning methods to predict biologics properties from sequence, benchmark models, and analyse lab data to guide early discovery through candidate selection.

AlphaFold

• United Kingdom
• Remote
• Permanent

Builds agents that run real parts of the business, working in Marketing Engineering and forward-deployed to growth pods to find problems and own solutions end to end. Uses Python, SQL, LLM APIs and agent orchestration with frontier models, focusing on making agents reliable, measurable and safe enough for the business to depend on.

LLM APIs

• United Kingdom
• Remote
• Permanent

Backend-leaning full-stack engineer joining a small team building Creative Agents that turn ideas into audio, image and video. You'll build production agents using prompts, tool use, orchestration and MCP integrations, design reliable async backend systems for long-running generation tasks, and develop shared evaluations and live quality monitoring. Ownership runs end to end, from prototyping to shipping and operating features in production.

MCP

• London
• Hybrid
• Mid-level
• Permanent

Design and build production systems that evaluate AI agent behaviour in real time, detecting risky actions and enabling safe recovery or escalation. Work spans architecture, implementation, evaluation and operations, partnering closely with alignment researchers to turn prototypes into scalable safety capabilities across OpenAI products.

OpenAI

• London
• Hybrid
• Lead · manages people
• Permanent

Lead and grow a London-based engineering team building real-time safety and oversight systems for AI agents, including the Auto-review platform that evaluates agent actions at permission boundaries. The role is a hands-on builder-manager position, setting technical direction while shaping architecture, reviewing designs, debugging, and writing code, working closely with alignment researchers and product teams.

OpenAI

• London
• Remote
• Senior · manages people

Leads and scales the UK Forward Deployed AI Engineering team, delivering professional services engagements that help EMEA customers productionise GenAI and ML applications. Combines people leadership and hiring with executive customer advisory work, owning OKRs for revenue, utilisation and references while feeding voice-of-customer insight back into Product, R&D and GTM strategy.

Databricks · AWS · Azure +7

• London
• Hybrid
• Senior
• Permanent

Hands-on optimisation of large transformer model inference for edge accelerators and GPUs, profiling model graphs, compiler/runtime behaviour, kernel execution and memory movement. You'll implement fusions, scheduling, quantisation-aware performance and custom kernels, and build benchmarking and regression tests for targets like NVIDIA Orin/Thor and Qualcomm platforms, working closely with model, platform and deployment teams.

TensorRT · CUDA · Qualcomm QNN +6

• London
• Hybrid
• Senior
• Permanent

Lead large-scale data enrichment and curation for the Core Model Safety team, collaborating across pre/mid-training, reward modelling and self-supervised labelling. Build workflows for hard and rare event mining, design out-of-distribution detection for driverless operation, and improve ML operations efficiency across model engineering, infrastructure and compute.

PyTorch · CUDA · VLM +1

• Oxford
• Hybrid
• £81,322 – £112,488 pa
• Lead · manages people
• Permanent

Dual role combining line management of a growing ML engineering team with hands-on technical delivery across multiple client engagements. You'll shape ML engineering practice, lead multidisciplinary teams, oversee solution design and quality assurance, and support pre-sales and use case discovery alongside commercial teams.

• United Kingdom
• Entry level

Work within a mixed-discipline AI & Algorithms team on client and internal R&D projects, building intelligent systems through hands-on coding and training/testing models. You'll attend stand-ups, contribute to planning, and apply state-of-the-art literature to produce market-leading solutions and demos. Requires a PhD and strong Python skills, with a flexible 2026 or 2027 start.

Edge Compute

• Cranfield
• £21,805 pa
• Entry level
• Contract

A PhD studentship researching AI-on-RAN, optimising distributed and mobile inference of large language models by adapting token, memory and bandwidth use in real time. The work sits across AI and telecoms, with training alongside other PhD students in the EPSRC Future Telecommunications Hubs network and exposure to defence, government and infrastructure stakeholders.

AI-on-RAN · 6G

• 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 CPU and GPU architectures. The role also involves publishing optimisation techniques via developer blogs or conferences and influencing next-generation hardware, software and programming models.

CUDA · OpenACC · OpenMP +4

• Brentford
• Hybrid
• £75,000 – £100,000 pa
• Mid-level
• Permanent

Develops an engineering-grade Spiking Neural Network engine for machine vision, turning research outputs into production C++ software. Works alongside researchers, data scientists and engineers on SNNs, CNNs, Transformers, synthetic training imagery and ISR data, with system design, testing and CI/CD responsibilities.

PyTorch · CUDA · CNNs +2

• London
• £80,000 – £105,000 pa

Hands-on engineering role designing, building and supporting production-grade AI solutions in a professional services environment. You will work with stakeholders to identify use cases, develop AI applications and agents using Microsoft technologies such as Copilot Studio and Azure AI Foundry, and ensure solutions are secure, auditable and compliant with GDPR and the EU AI Act.

Microsoft Copilot Studio · Azure AI Foundry · Azure DevOps