Machine Learning Jobs

• Bath
• £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, plus 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 fit around existing work or unemployment.

Microsoft Azure · Git · GitHub

• Aberdeen
• £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, culminating in the Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a partner employer within 20 miles of their location.

Git · GitHub · Microsoft Azure +1

• Remote (UK)
• Remote
• Lead · manages people
• Permanent

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.

Metaview

• London
• Remote
• Senior
• Permanent

Builds and optimizes the synthetic data pipeline behind Cohere's frontier language models, running scalable inference on large GPU clusters and transforming web and code data with generative models. Involves data ablations, mixture experiments and model evaluation to improve token efficiency and training throughput, working closely with researchers and engineers.

Apache Spark · Apache Beam · Pandas +2

• London
• Remote
• Senior
• Permanent

Owns key components of a large-scale web data pipeline for pre-training language models, covering extraction, parsing, deduplication and filtering of noisy internet corpora. Analyses data composition and quality across domains, languages and time periods, and studies its impact on downstream model performance alongside research and evaluation teams.

Apache Spark · Apache Beam · Pandas

• London
• Director · manages people
• Permanent

Lead the platform engineering team owning hybrid on-prem and cloud compute, Kubernetes clusters, and MLOps infrastructure such as Kubeflow notebooks, GPU training and model serving. Set architectural direction, mature CI/CD, observability and security controls, and ensure scientific compute meets the needs of ML and data science teams. Reports to the VP of Engineering in a matrixed TechBio environment.

Kubernetes · Kubeflow · ISO 27001 +2

• London
• Hybrid
• Lead · manages people
• Permanent

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.

Python · PyTorch · GPU +1

• London
• Hybrid · 3 days in office
• £60,000 – £80,000 pa
• Senior

Independently validate and challenge credit risk, machine learning and decisioning models across the lending lifecycle, covering methodology, data quality, calibration, stability and monitoring frameworks. Work closely with Data Science, Risk and Analytics teams to define validation standards and controls, with exposure to automated underwriting and modern fintech credit risk practices.

• London
• Hybrid
• £110,000 – £120,000 pa
• Director

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.

Python · SQL · Git +1

• London
• Remote
• £30,000 – £45,000 pa
• Junior

A 15-step online, self-paced AI traineeship covering Python, NumPy, Pandas, scikit-learn, Hugging Face, prompt engineering, RAG and vector databases, with projects such as a car price prediction app and a customer service chatbot. It includes Microsoft AI-900 and AWS Cloud Practitioner certification, 1-to-1 tutor and recruitment support, and a job guarantee. Note this is a paid training course, not a direct employer role.

Jupyter Notebooks · VS Code · Streamlit +6

• Bromley
• Remote
• £30,000 – £45,000 pa
• Junior

A 15-step online, self-paced AI traineeship covering Python, neural networks, LLMs, prompt engineering, RAG, machine learning with scikit-learn, and AWS cloud fundamentals. Includes hands-on projects such as a Streamlit car price app and a customer service chatbot, plus tutor and recruitment support with a job guarantee.

Jupyter Notebooks · VS Code · Streamlit +7

• Singapore
• Hybrid
• Lead

Join a new Singapore research team building physical foundation models for industrial engineering, translating physics and simulation challenges into mathematical formulations. You will develop deep learning and probabilistic models for physical systems, run large-scale experiments, and own research workstreams while publishing and presenting to customers and the community.

NumPy · SciPy · Pandas +4

• New York, United States
• Hybrid
• US$240,000 – US$300,000 pa
• Director · manages people

Leads regional deployment engineering for a physics AI platform, owning end-to-end delivery into customer-owned infrastructure and acting as primary technical contact for CIOs and CTOs. Combines executive engagement with hands-on work on Kubernetes, cloud and infrastructure-as-code deployments, while hiring and scaling a team of deployment engineers. Requires navigating regulated, high-security and on-prem/HPC environments.

Kubernetes · AWS · Azure +6

• London
• Senior
• Permanent

Lead technical direction and delivery of complex enterprise AI engagements, shaping solution roadmaps with senior stakeholders and making architecture and engineering trade-offs. Design and implement production AI solutions on AWS spanning application, data, integration, security and operations, while establishing evaluation and responsible AI controls. Also mentors, sets technical standards and builds reusable assets for the Data & AI practice.

AWS

• London
• Hybrid
• Senior

Hybrid technical and commercial role acting as post-sale technical lead for Databricks' most strategic accounts, driving use cases from win to production. You own account strategy, executive relationships, enablement and adoption plans, coordinating Solutions Architects, Professional Services and Product teams. Requires Python or Spark experience and up to 30% travel.

Databricks · Lakehouse · Unity Catalog +4