Artificial Intelligence Jobs

• Blackburn
• £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 with a partner employer within 20 miles of their location.

Azure · Git · GitHub +1

• 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, 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.

Azure · Git · GitHub +1

• Birkenhead
• 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 data ethics, culminating in an AWS Certified Cloud Practitioner exam. Includes real-world projects such as a Streamlit car price app and a Hugging Face sentiment classifier, plus 1-to-1 tutor and recruitment support with a job guarantee.

Jupyter Notebooks · VS Code · Streamlit +7

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

A 15-step online, self-paced AI traineeship covering Python, data fundamentals, machine learning, prompt engineering, RAG, and vector databases, with projects such as a car price prediction app 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. Note this is a paid training course, not direct employment.

Jupyter Notebooks · VS Code · Streamlit +6

• London
• Lead

Security lead for an AI engineering team's products and platform, owning design reviews, threat modelling, and sign-off authority for new features. Secures LLM-powered capabilities against prompt injection and data leakage, drives CVE remediation, maintains SAST/SCA/IaC scanning in CI/CD, runs pen testing, and leads incident response across Azure and GCP.

Azure · GCP · GitHub Actions +7

• Manchester
• Senior

Lead the design and delivery of AI, machine learning, agentic AI and RAG-based solutions for a financial consultancy's client engagements. Build production-grade models with Python and PyTorch, design MLOps frameworks, CI/CD pipelines and cloud-native model serving, while mentoring engineers and shaping technical strategy.

PyTorch · GCP · Docker +4

• London
• Senior

Lead the design and deployment of applied machine learning models for infrastructure and engineering, owning the full lifecycle from problem formulation to production iteration. Work spans optimisation, simulation and scientific ML, partnering with MLOps, software and domain experts to embed AI into a SaaS platform, with mentoring and technical leadership duties.

PyTorch · TensorFlow · scikit-learn +1

• London
• Hybrid
• £70,000 – £90,000 pa
• Senior
• Permanent

Designs and builds modern machine learning and AI services within a collaborative data team, developing and optimising data pipelines across a cloud analytics platform. Works with PySpark, Python, SQL, Databricks or Snowflake on AWS, plus Airflow, Terraform, Docker and Kubernetes, in agile squads supporting ML and GenAI infrastructure.

Databricks · Snowflake · AWS +7

• London
• Hybrid
• Permanent

Builds full-stack geospatial services in Python and TypeScript, turning global road-network and navigation data into products for an autonomous driving platform. Owns data pipelines with PySpark and Databricks, route-planning applications, and map data preparation for training and simulation, deploying services on Azure and Kubernetes end to end.

Databricks · Mapbox · TomTom +7

• Ipswich
• On-site
• £55,000 – £70,000 pa
• Mid-level
• Permanent

Design, develop and maintain scalable Python applications, taking ownership from design through to deployment. Integrate AI and Generative AI tools into development processes while contributing to system architecture, code quality and performance optimisation. Work fully on-site in Ipswich, collaborating with technical teams and business stakeholders on projects blending traditional engineering with modern AI capabilities.

AWS · Azure · GCP +3

• United States
• Hybrid · 3 days in office
• US$200,000 – US$225,000 pa
• Mid-level

Build and own core platform capabilities including application infrastructure, APIs and shared services, developing full stack applications in Python, React and TypeScript. Surface machine learning and predictive analytics insights through intuitive interfaces and integrate AI/LLM workflows into production, working in a small innovation team with significant architectural ownership.

Python · React · TypeScript +1

• Eastleigh
• Hybrid
• £50,000 – £70,000 pa
• Permanent

Builds and supports data products on a modern cloud data platform, developing and optimising pipelines and integrating varied sources with strong quality standards. Works in agile squads alongside data and AI engineers, scientists and architects, using PySpark, Python, SQL and Databricks or Snowflake, with exposure to ML and GenAI infrastructure.

Databricks · Snowflake · AWS +7

• London
• Hybrid · 1–2 days in office
• £75,000 – £85,000 pa
• Senior

Owns the infrastructure, deployment and operational excellence of production machine learning systems within a growing AI and data organisation serving the public sector. Builds ML orchestration pipelines with Dagster, Airflow or Prefect, runs Kubernetes and Terraform/Bicep infrastructure, and maintains CI/CD and observability for models and LLM-powered solutions, working closely with data scientists and client-facing teams.

Dagster · Airflow · Prefect +5

• London

Embedded within an investment team, spending most of the week building AI-driven tools, agentic LLM applications and Python data analytics systems that support investment research and decision-making. Works directly with analysts and researchers to automate research workflows and monitor markets, news and macroeconomic data. Distinct for its heavy investment-floor exposure and a track record of moving people into investment analyst roles.

Python

• London
• Hybrid · 3 days in office
• £90,000 – £95,000 pa
• Senior

Owns the end-to-end architecture of an enterprise AI platform spanning Azure and AWS, covering ML training, model hosting, MLOps and Generative AI. Defines patterns for LLMs, RAG, vector search and agent frameworks, evaluates tooling, and provides technical direction to ML and platform engineers while embedding security, governance and regulatory requirements.

Azure · AWS · Azure ML +4