Machine Learning Jobs

Wayve · London

Owns validation strategy for ADAS and L2 autonomy functions, translating product, safety and regulatory requirements into test scenarios, metrics, coverage and acceptance criteria. Works hands-on with Python evaluation pipelines, simulation and SQL data analysis, spanning simulated and physical test environments. Open at senior IC or manager level, coordinating with Product, Safety and Release stakeholders.

Wayve · London

Lead large-scale training and post-training for Gaia, Wayve's world model that predicts future driving video frames and runs closed-loop with the driving model. Own model architecture and training-strategy decisions, push autoregressive generation toward longer, more stable rollouts, and make the model deployment-ready. Work across Research, Applications, Core Simulation Engineering and Cloud/Infrastructure, mentoring and setting technical direction.

Cambridge Consultants · United Kingdom

Graduate role in the Human-Machine Understanding group, working at the intersection of AI, cognitive science and human-machine interaction. You will contribute to an Intelligent Interfaces framework spanning multi-modal human sensing, human-centric contextual modelling and agentic workflows, supporting client projects from human subjects studies to technical prototypes. Requires Python and AI/ML frameworks such as PyTorch, with scope to explore HRI, affective computing and cognitive architectures.

Cambridge Consultants · United Kingdom

Six- to twelve-month AI and algorithms internship for PhD or Master's students, working alongside engineers on client projects involving modelling, training, testing and data wrangling. Interns also contribute to internal R&D, building on state-of-the-art AI literature, and present results to colleagues and clients. Requires strong Python, Git and demonstrable research experience, plus UK security clearance eligibility.

Latent Labs · London

Deploys and adapts proprietary generative biology models into pharmaceutical and biotech customer environments, building production-grade API integrations, model-serving infrastructure and ML data pipelines. Combines deep generative-modelling research with customer-facing delivery, fine-tuning models and feeding insights back to research and product teams. Hybrid role with on-site work at international partner locations.

NVIDIA · United Kingdom

Lead NVIDIA's developer strategy with a major cloud service provider, driving GPU acceleration adoption across AI and generative AI workloads. The role blends developer advocacy, product management and business development, building engineering partnerships and hosting summits and meetups. It offers high visibility with senior leadership given the strategic priority of deep learning platforms.

Candour · Greater Manchester · £65,000 – £75,000 pa

Joins a core team of data scientists, engineers and analysts working in small teams on a two-week review cycle, delivering minimum viable solutions that scale. Covers the full data science lifecycle, from exploratory analysis and model building to deployment, monitoring and retraining of production models, while working with business stakeholders on pricing, customer intent and decision-making. Combines hands-on Python and TDD work with clear communication of findings.

eFinancialCareers · London

This role involves researching and developing mathematical and statistical models for systematic investment strategies, using advanced techniques in machine learning and large-scale data analysis. The researcher will work across the full lifecycle—from hypothesis generation and model testing to production implementation—within a collaborative environment alongside portfolio managers and engineers. The position emphasizes original, rigorous research applied to global financial and alternative datasets.

OpenAI · London

Senior technical owner for a portfolio of public sector customers, shaping AI strategy from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures covering models, data, integration, security and governance while coordinating specialists across deployment, product and partners.

Faculty · London

Lead the scientific direction and architectural rigour of upstream AI safety and evaluation standards, partnering directly with Frontier Labs. Design novel experiment frameworks, mentor technical teams, and bridge deep research with client strategy across high-stakes engagements.

OpenAI · London

Customer-facing technical role helping organisations evaluate, build, deploy and adopt AI technology. Work spans architecture, integrations, data, security and evaluation, plus demos, prototypes and production solutions, with enablement workshops and delivery coordination alongside Sales, Product, Research and Engineering. This is a general talent pool rather than a specific vacancy.

NVIDIA · Cambridge

Lead security research, architecture and implementation for next-generation networking products, taking a hands-on role in hardware and software security primitives. Work across internal teams and external partners on open-source software, IO interfaces (I2C, I3C, SPI, UART, USB, PCIe), RISC-V, root-of-trust and secure boot architecture.

Relation Therapeutics · London

Contributes to the design and execution of cellular and biochemical assays, including arrayed CRISPR perturbation screens, cell culture of primary and immortalised lines, and phenotypic readouts such as flow cytometry, RT-qPCR and ELISA. Also handles data analysis, sample tracking, QC, reagent stocks and lab upkeep, working closely with Discovery and computational colleagues in a matrixed TechBio setting.

Faculty · London

Lead high-impact AI projects for retail and consumer clients, defining data science approaches, designing software architectures, and mentoring colleagues. Own the technical side of client relationships, scope projects, and embed responsible AI practices while delivering bespoke algorithms and production-grade systems.

Cohere · London

Own end-to-end technical program delivery for UK public sector and defence customers, from initial deployment through production scaling, acting as the bridge between frontier AI capabilities and government requirements. Navigate procurement, security authorisations, data sovereignty and compliance while coordinating Applied ML, Forward Deployed Engineering, Platform and Product teams. Work spans air-gapped, on-premises and highly regulated environments.