Machine Learning Jobs

Amazon · London

Hands-on data science role focused on Alexa for Shopping, building and measuring multimodal conversational systems powered by large language models, information retrieval, recommender systems and knowledge graphs. Day to day involves analysing huge multimodal datasets, designing and analysing A/B tests, building predictive models and metrics dashboards, and working with applied scientists and engineers to move insights into production.

Faculty · Remote (UK)

Sets technical direction for complex, business-critical AI projects in the defence sector, architecting production-grade machine learning solutions and overseeing end-to-end delivery. Balances speed, innovation and reliability while mentoring data scientists and acting as a trusted technical advisor to demanding clients. Requires UK Security Clearance and 2-4 days per week on client sites.

Wayve · London

Lead a team of ML engineers and applied scientists building synthetic data from generative world models like GAIA-3, turning them into a production engine for training-grade driving data. Own the pipeline end to end, from checkpoint and large-scale GPU inference to artefacts landing in driving-model training, while setting technical direction on rig transfer, pose transfer and controllability.

Harnham - Data and Analytics Recruitment · London · £110,000 – £120,000 pa

Own the fraud strategy for a technology-led financial services business, blending strategic leadership with hands-on data science. Build and deploy AI-driven fraud identification, including classifiers, anomaly detection, document intelligence and network analysis, and run fraud models in production with CI/CD, monitoring and governance. Partner with Product, Engineering, Credit and Operations to embed controls.

Leo Technology · London · £60,000 – £70,000 pa

Technical Business Analyst role sitting between business and software engineering, translating complex requirements, mapping system integrations and data flows, and driving process and platform improvements. Works across regulatory change, system enhancements and new platform capabilities, with scope to explore AI, ML and automation, while mentoring less experienced BAs.

Harnham - Data and Analytics Recruitment · London · £120,000 – £150,000 pa

Lead and build a data science function at a fintech, owning strategy across risk, affordability and lending decisioning. Hands-on work designing and deploying machine learning models using credit risk, Open Banking and customer data, with a focus on model governance, MLOps and AI-powered decisioning alongside Product, Engineering and Credit Risk teams.

NVIDIA · Cambridge

Acts as the primary technical advisor to university research labs and faculty, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and around 30% travel.

NVIDIA · Reading

Acts as the primary technical contact for academic and research partners, helping integrate NVIDIA's accelerated computing stack into large language model and HPC workloads. Drives joint research projects, delivers hands-on training and workshops, and feeds researcher needs back to engineering. Requires deep multi-node LLM lifecycle expertise and involves around 30% travel.

NVIDIA · Zürich, Switzerland

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 intern also publishes optimisation techniques via developer blogs or conferences and helps influence next-generation hardware, software and programming models.

NVIDIA · United Kingdom

Serves as the primary technical contact for academic and research partners, driving adoption of NVIDIA's accelerated computing and AI stack. Works hands-on with researchers on large language model training, fine-tuning, inference and agentic workflows at supercomputing scale, delivering workshops and mentoring power users. Involves around 30% travel and close collaboration with research labs and university faculty.

eFinancialCareers · London

Lead the creation of a hedge fund's machine learning function, defining research strategy and hiring a team of ML researchers and engineers. Direct work spans deep learning, reinforcement learning, probabilistic and time-series modelling, and generative AI, applied to alpha generation, forecasting, portfolio construction, risk and execution. The role blends hands-on technical direction with strategic leadership.

Amazon · London

Customer-facing technical role driving GenAI/ML adoption for large UKI enterprises, designing architectures, leading workshops and proof-of-concepts, and advising C-suite leaders. Requires hands-on ML experience with PyTorch, TensorFlow, Hugging Face and AWS services like Bedrock and SageMaker, plus thought leadership through blogs and events.

University of Cambridge · Cambridge · £63,606 – £67,468 pa

Contribute to research and teaching in artificial intelligence and machine learning as a faculty member, developing novel models, abstractions and architectures. The role involves supervising Masters and PhD students, creating graduate content for the MPhil in Advanced Computer Science, and teaching undergraduate machine learning and mathematics. The appointee is expected to secure research funding and build a world-class team, collaborating across computer science subdisciplines and with fields such as mathematics, engineering and physics.

Adecco · London · £600 – £750 pd

Develops and deploys machine learning models and data pipelines that shape decision-making, customer service and business performance. Works closely with ML and software engineers on integration and coding standards, and communicates findings to technical and non-technical stakeholders. Retail context with scope for personalisation, recommendation and experimentation work.

Databricks · London

Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority for banking and financial services accounts. Leads multi-workload platform architectures, enterprise migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams. Requires deep hands-on coding in Python and SQL plus expert Databricks platform knowledge.