Machine Learning Jobs

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.

Harnham - Data and Analytics Recruitment · London · £80,000 – £95,000 pa

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.

Adria Solutions · Manchester · £100,000 – £150,000 pa

Lead the first-line financial crime function for a high-growth digital banking platform, translating regulation into automated, customer-focused controls. Partner with AI, engineering and product teams to embed machine learning, data analytics and automation across onboarding, monitoring and investigations, and report strategic insights to executive and board forums.

BRUSH Group · Loughborough

Hands-on role in a Group IT Data & AI team, owning use cases end to end from problem definition and feature engineering through model development, deployment and monitoring. Builds BI, advanced analytics, ML and AI solutions in Python, SQL and Spark on cloud platforms, while shaping governance and technical standards.

Amazon · Edinburgh

Designs and implements machine learning models for recommendation systems used by job seekers and recruiters at global scale, with a focus on fairness and explainability. Works across the full software development lifecycle, from scoping and coding to A/B test analysis and deployment, alongside engineers, scientists and product managers. Also reviews scientific work and keeps current with the literature to develop novel approaches to hiring problems.

Wayve · London

Bridges Wayve's AI Driver architecture and OEM/Tier 1 vehicle platforms, defining software–vehicle interfaces across sensors, signals, middleware and ECUs. Owns interface contracts, ownership boundaries and validation-ready requirements, representing Wayve in partner technical discussions while keeping the core product architecture scalable.

Wayve · London

Owns the autonomy performance measurement framework for a public-scale robotaxi deployment, defining metrics, dashboards and release gates for an end-to-end learned driving system with no existing playbook. Runs the detect-triage-root-cause-fix loop across model, robot software, backend and evaluation tooling, leading cross-functional teams without direct authority while staying hands-on in Python, C++ and SQL.

Wayve · London

Cross-functional individual contributor defining software architecture across onboard software, AI, simulation, training, inference and Robotaxi systems. Leads large architectural changes spanning multiple engineering organisations, setting boundaries and interfaces between AI, compute and vehicle systems, and acts as technical tiebreaker on complex decisions.

Ocado · London

Builds AI-powered planning systems for global warehouses and last-mile operations, developing machine learning models, optimisation algorithms and operational simulations. Takes high-impact models from prototype to monitored production, sets technical direction and mentors data scientists while working with engineers, product managers and external retail partners.

NVIDIA · Bristol

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.

Ocado · United States

Hunter-style enterprise sales role carrying a quota and driving growth across US and Canadian retail, e-commerce and 3PL markets, closing deals typically worth $1M–$5M over 6–18 month cycles. Works with solutions, deployment and customer success teams, selling Ocado IQ software and AMR robotics to C-suite and operations leaders, with 40–60% travel.

Wayve · London

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.

BDO · London

Builds and productionises AI/ML models for a regulated financial client, covering classification, unsupervised outlier detection and ranking, with time-series risk analysis and exploratory data analysis. Works in Python (pandas, NumPy, scikit-learn) and SQL, deploying containerised models via Podman, SageMaker or DSW pipelines with Git-based workflows. Desirable skills include rank fusion, SHAP/LIME explainability, drift monitoring and graph analytics for record linkage.

Amazon · London

Hands-on analysis and modelling of large multimodal datasets to measure and improve Rufus, Amazon's conversational shopping assistant. Designs and analyses A/B tests, builds predictive models and metrics dashboards, and works with NLP, information retrieval and recommender systems alongside scientists and engineers in a London team of around 150.

Amazon · London

PhD students join an Amazon Science team to own an end-to-end research project, from scoping with a mentor to deploying algorithms, models or systems into production. Projects span computer vision for Prime Video quality, multimodal AI for Rufus, automated reasoning and formal verification, observability for distributed systems, and recommendation models. Interns may publish at top-tier conferences or see their work ship before the internship ends.