Machine Learning Jobs

• Preston
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship that takes complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a UK employer within 20 miles of their location.

Microsoft Azure · AI-900 · Git +1

• Portsmouth
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, with Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with training designed to be completed in 6-12 months around existing commitments.

Microsoft Azure · Git · GitHub

• London
• Hybrid
• Permanent

Builds reinforcement learning environments for enterprise AI agents, populating them with hard tasks, plausible data and reward verifiers, then runs agents inside to evaluate and train them. Works across modelling and product to find capability gaps, and partners with external vendors on expert-built environments and quality tooling.

• London
• Hybrid
• Senior
• Permanent

Designs next-generation evaluation benchmarks and infrastructure to measure LLM progress, including training LLM judges, refining data synthesis pipelines, and improving evaluation efficiency. Works cross-functionally to turn model feedback into trustworthy, repeatable evaluations, and builds scalable tools for probing model performance.

LLM

• London
• Remote
• Lead
• Permanent

Own the end-to-end architecture and technical roadmap for Remote Assistance, the real-time bridge between Wayve's AI Driver and human operators, spanning onboard vehicle integration, offboard services and operator HMI. Define the vehicle–operator contract, fallback/MRM behaviour and latency budgets, and drive cross-org execution across autonomy, safety, platform and product teams feeding into the L4 safety case.

HMI

• Reading
• Senior

Engage a small set of strategic software companies to integrate NVIDIA's AI and computing platforms into their products, acting as a trusted technical advisor on agentic AI, open models and GPU-accelerated computing. Provide sample code, SDKs and demo pipelines to accelerate onboarding, while mapping the developer ecosystem and feeding field insights back to product teams. Also represents NVIDIA at industry and developer events.

NVIDIA · NIMs · SDKs

• Edinburgh
• Hybrid
• Lead
• Permanent

Builds machine learning recommendation systems that match job seekers to roles and recruiters to talent across Amazon Jobs and internal hiring platforms. Works on representation learning, reinforcement learning and probabilistic modelling at global scale, with a focus on fairness and explainability, alongside engineers, scientists and product managers through the full development lifecycle.

• United Kingdom
• Remote
• Senior

Technical account manager role focused on a small set of strategic software companies, driving adoption of NVIDIA's AI and accelerated computing platform. Involves hands-on work with agentic AI, open models, SDKs, NIMs and blueprints, plus developer advocacy, ecosystem mapping and representing NVIDIA at events.

NVIDIA · NIMs · SDKs

• London

Lead and contribute to interdisciplinary research programmes on how frontier AI systems influence human decisions, designing large-scale studies, RCTs, model evaluations and benchmarks. Work spans computational social science, AI safety, machine learning and cognitive science, with opportunities to publish and engage policymakers and frontier labs.

Claude Code · Codex

• London
• Hybrid · 3 days in office
• Senior

Lead pharmacology and translational biology strategy for large molecule therapeutics, designing in vivo efficacy and complex in vitro functional assays. Act as Biology Lead on projects, coordinating internal workflows and external CROs through candidate selection, while feeding data back into generative AI design loops.

Machine Learning · AI · Computational Biology +1

• London
• Hybrid · 3 days in office

A general expression-of-interest pipeline for experienced software engineers, ML researchers and engineers, computational chemists and technical program managers. The interdisciplinary team builds predictive and generative AI models for drug design, working across therapeutic areas and modalities. Hybrid working requires three days a week in the London office.

AlphaFold

• London
• On-site
• Mid-level · manages people
• Permanent

Join the Preparedness team to anticipate and mitigate loss-of-control risks from increasingly capable AI systems, potentially culminating in recursive self-improvement. The role spans scalable oversight, automated auditing, monitorability testing, model behaviour science, and coordination/verification mechanisms, alternating between rigorous hypothesis-driven research and building interventions that impact production models.

• London
• On-site
• Mid-level
• Permanent

Researcher role focused on derisking frontier AI models by developing novel safety mitigations, drawing on interpretability, control, and alignment techniques. You will build and refine evaluations of emerging risks, design red-teaming pipelines, and set research directions, collaborating closely with experts in misalignment, cybersecurity, and biology.

• Mansfield
• Hybrid · 3 days in office
• Permanent

Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using advanced feature generation and large-scale data manipulation. Consults on complex statistical test design and works cross-functionally with business partners, with a strong emphasis on Model Risk Management, validation and monitoring.

Python

• Loughborough
• Hybrid · 3 days in office
• Permanent

Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, with a strong emphasis on Model Risk Management, validation and monitoring. Involves advanced feature generation, complex statistical test design and large-scale data work in Python, collaborating closely with business partners. Hybrid role based in Nottingham, three days a week in office.

Open Banking · Credit Bureau Data