Machine Learning Jobs

Luminance · Cambridge

Lead complex engineering projects across the full SDLC, define technical requirements and system architecture with cross-functional teams, and mentor other application engineers. The role also involves driving best practices in coding, testing and maintenance, and becoming a subject matter expert in one or more areas of the technology stack.

Luminance · London

You guide enterprise legal teams through concurrent implementations of an AI contract intelligence platform, running discovery sessions, translating requirements into scalable configurations, and delivering training to varied user groups. Working with Customer Success and Product, you manage milestones, flag risks early, and feed recurring patterns back into team playbooks to make future rollouts faster.

Anthropic · London · £190,000 – £230,000 pa

Lead a team of Technical Deployment Leads embedded with strategic EMEA customers, owning portfolio health, delivery strategy and executive relationships. Player-coach role: hire and develop TDLs, run engagement quality reviews, and personally lead the most complex deployments from SOW through production. Partners with Sales, Legal and Product to scale delivery playbooks across the region.

OpenAI · London

Conducts research on safety post-training methods such as RLHF, RLAIF, DPO, PPO, reward modeling, adversarial training and synthetic data, then builds evaluations for harms like jailbreaks, hallucination and unsafe tool use. Highly cross-functional, partnering with core training, product, policy, legal and trust and safety teams to ship safety improvements into production models.

Speechmatics · London

Owns the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition tooling. Also operates the platform for training, evaluating and serving models, optimising GPU utilisation, scheduling and observability across distributed systems.

Speechmatics · Cambridge

Own the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition. Operate the platform that trains, evaluates and serves models in production, optimising GPU utilisation, scheduling and observability across distributed systems.

ElevenLabs · London

Owns safety datasets end-to-end, from collection and labelling through quality control and versioning, and builds evaluation workflows for models in production. Works across data science, ML, AI safety and policy, developing Python/SQL pipelines and managing external labelling contributors to scale the work.

OpenAI · London

Lead a team of senior Applied AI Architects acting as technical CTOs for OpenAI's largest North EMEA customers, owning technical account plans across ChatGPT Enterprise, the API, Codex and agentic solutions. Sets the regional operating model with Sales, allocating technical resources and guiding customers from pre-sales discovery through production adoption.

Luminance · Cambridge

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....

Luminance · London

First point of contact for technical support queries via phone and Intercom, resolving straightforward issues and triaging complex ones to second and third line teams. Maintains accurate incident records and keeps customers informed throughout the request lifecycle, collaborating closely with escalation teams.

Luminance · Cambridge

An eight-week internship embedded in a software engineering team, working alongside and mentored by an engineer from day one. Interns contribute to real work at a fast-paced legal AI company, with a MacBook Pro and extra computing resources provided. The role is based in Cambridge with up to two days remote per week.

Luminance · Cambridge

Join a small R&D team prototyping and implementing new AI approaches, evaluating output quality, efficiency and feasibility against alternative techniques in a data-driven way. Work spans large dataset handling, modelling and evaluation using Python ML frameworks such as PyTorch, TensorFlow and Scikit-Learn, with senior candidates contributing NLP, computer vision or deep learning expertise.