Machine Learning Jobs

• London
• £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, with 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

• London
• £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.

Azure · Git · GitHub

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Hands-on engineering partner to international public-sector customers, delivering scoped GenAI and agentic use cases from mission need through architecture, evaluations, production and documented handoff. Works with government agencies, systems integrators and cloud providers on supported OpenAI APIs and Codex, with explicit data, inference and production-readiness boundaries.

OpenAI · Codex · Model APIs

• Remote (UK)
• Remote
• Mid-level
• Permanent

Deliver bespoke, production-grade machine learning systems for defence clients, spanning the full ML lifecycle from architecture and scoping to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, embedding ethical AI in high-stakes situations. Requires UK Security Clearance and 2-4 days per week on client sites.

Scikit-learn · TensorFlow · PyTorch +5

• United Kingdom
• Remote
• Mid-level
• Permanent

Own the design, build and deployment of LLM-powered agentic workflows for enterprise customers, integrating models with tools, APIs and sensitive data sources. Work across the full product lifecycle on the North AI workspace platform, building reliable, observable and auditable agents, with up to 20-40% travel to customer sites.

North · LLM · RAG +3

• Manchester
• Remote
• £30,000 – £45,000 pa
• Entry level

A 15-step online, self-paced traineeship covering AI engineering fundamentals, Python, data handling, machine learning, prompt engineering and RAG, with projects such as a sentiment analysis classifier and a customer service chatbot. Includes Microsoft AI-900 and AWS Cloud Practitioner certification, 1-to-1 tutor and recruitment support, and a job guarantee on completion.

Jupyter Notebooks · VS Code · Streamlit +6

• London
• Hybrid
• Lead · manages people
• Permanent

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.

NumPy · Pandas · Inspect AI +1

• Slough
• Hybrid · 2–3 days in office
• £330 – £360 pd
• Junior
• Contract

Hands-on role building, validating and optimising basic models and data pipelines across the data science lifecycle, from exploratory analysis to cloud-based automation of decision-making. Work spans churn reduction, customer lifetime value, stock management and marketing effectiveness, collaborating within a data science team and with non-technical stakeholders in the telecoms sector.

scikit-learn · PySpark

• London
• Hybrid
• Senior

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.

BigQuery · OR-Tools · SimPy

• London
• On-site
• Senior · manages people
• Permanent

Lead teams of technicians running AWS data centre operations, owning the full infrastructure lifecycle from rack installation and break-fix maintenance to decommissioning. The role involves adopting high-density GPU, AI accelerator and liquid-cooling technologies, using Generative AI to automate workflows, and managing vendor relationships and Health & Safety standards.

AWS · GPU · AI Accelerators

• Manchester
• Hybrid
• £28,000 – £32,000 pa
• Entry level
• Permanent

A graduate-level role analysing varied datasets to identify trends and support statistical and predictive modelling work. You will use Python, SQL, SAS or PySpark, collaborate across teams, and present insights to technical and non-technical audiences while learning from experienced professionals.

Python · SQL · SAS +1

• United Kingdom
• Remote
• Permanent

First dedicated analytics partner to the Finance function within a central Data team, owning revenue and ARR reconciliation, cohort and retention economics, and pricing experiments. Builds forecasting and scenario models used directly by FP&A for planning and board reporting, working with SQL, Python, Stripe, Salesforce and a dbt-modelled warehouse.

Stripe · Salesforce · dbt +1

• Liverpool
• Hybrid · 1 day in office
• £65,000 – £70,000 pa
• Senior

Number two in a Business Intelligence function, leading multidisciplinary teams across Insight, Data Science, Machine Learning, Governance and Labour Market Intelligence. The role is strategic rather than hands-on: shaping analytics strategy, embedding data governance and quality frameworks, sponsoring AI and advanced analytics, and advising Executive and Board audiences.

Power BI · Snowflake · SQL

• London
• Hybrid
• £120,000 – £150,000 pa
• Director · manages people

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.

Python · SQL · MLOps +1

• Nottingham
• Hybrid · 3 days in office
• Lead
• Permanent

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, mentor junior team members and drive prototypes through to production in close collaboration with business stakeholders.

PyTorch · TensorFlow · Hugging Face Transformers +1