Artificial Intelligence Jobs

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML systems for national security and AI safety clients, including capability testing of frontier models. Act as a technical advisor to customers, define best practices for deploying ML at scale, and mentor junior engineers. Distinct for its focus on red teaming, evaluation and high-stakes government and frontier lab work.

TensorFlow · PyTorch · AWS +4

• London
• Hybrid
• Senior
• Permanent

Scoping, building and delivering bespoke AI solutions for pharmaceutical and life sciences clients, managing individual work streams and translating operational requirements into user stories for engineering teams. Involves open-source analysis, workflow design and close collaboration with data science and ML experts, with a focus on high-stakes, user-centric decision-making.

Metaview

• Erith
• On-site
• Shift work

First-line response for engineering faults in a highly automated Customer Fulfilment Centre, diagnosing and resolving issues that impact performance. Carries out planned servicing and repairs on robotics, PLCs, SCADA systems and conveyors, plus proactive reliability improvement projects. Works 12-hour shifts across days, nights and weekends to support a 24/7 operation.

PLC · SCADA

• Andover
• On-site
• Shift work

Hands-on first-line response for engineering faults in an automated Customer Fulfilment Centre, diagnosing and resolving issues affecting performance while carrying out planned servicing and repairs. Also contributes to proactive reliability and efficiency improvement projects, working with automation hardware, software and control systems at height in a 24/7 operation.

Ocado Smart Platform · Robotics · AI +1

• United Kingdom
• Remote
• Lead · manages people
• Permanent

Hands-on technical leadership of the core platform services underpinning an AI product for regulated financial services, spanning client-data ingestion, CRM integrations and APIs, multi-tenancy, identity and data lifecycle. Leads roughly six to seven engineers while remaining close to production code, primarily Node.js on AWS with event-driven, distributed systems.

AWS · Node.js · Python +3

• London
• Remote
• £75,000 – £105,000 pa
• Senior

Builds and deploys production LLM and Generative AI applications for enterprise clients, including RAG solutions, scalable data pipelines and AI-powered services. Works in a collaborative consultancy team of engineers and architects, applying software engineering best practices to take AI from proof of concept into production, with monitoring and optimisation of live systems.

Databricks · MLflow · LangChain +5

• Cambridge
• Hybrid · 2 days in office
• Senior

Conducts independent and collaborative research across large language models, statistical methods and classical machine learning, prototyping ideas and implementing models into the wider software stack. Produces optimised solutions for latency and memory, including deployment on edge devices, working closely with software engineers and security analysts.

PyTorch · TensorFlow · scikit-learn +8

• United Kingdom
• On-site
• £500 – £675 pd
• Junior
• Contract

Hands-on change management and adoption role supporting a global technology client's Copilot and Microsoft 365 rollout. You'll facilitate training and office hours, develop persona-based scenarios, coach change agents and champions, track adoption metrics, and contribute to backlog refinement and sprint planning alongside the ACSM Architect and customer stakeholders.

Microsoft 365 · Microsoft 365 Copilot · Copilot Studio

• London
• Hybrid · 3 days in office
• £80,000 – £85,000 pa
• Mid-level

Design, build and deploy scalable AI and machine learning solutions from concept to production, including Generative AI applications using LLMs and orchestration frameworks. Write production-grade Python, apply MLOps practices such as CI/CD, containerisation and monitoring, and build data pipelines for training, fine-tuning and inference. Work hybrid in London alongside data scientists, engineers and business stakeholders on large-scale datasets.

LLMs · Orchestration Frameworks

• Almondsbury
• £80,000 – £130,000 pa
• Mid-level
• Permanent

This role involves owning the data infrastructure for AI deployments, integrating AI solutions into business systems, and ensuring reliable and scalable production-grade pipelines. You will work closely with AI strategists to take prototypes to production, manage data models, and troubleshoot integration issues.

• Cambridge
• Hybrid · 2 days in office

Conducts independent and collaborative research into language models, neural networks, statistical methods and classical machine learning, prototyping new ideas and improving existing projects. Implements models into the wider software stack, including optimised solutions for edge devices with tight latency and memory constraints, working closely with software engineers and security analysts.

PyTorch · TensorFlow · scikit-learn +2

• Mansfield
• 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, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.

PyTorch · TensorFlow · Hugging Face Transformers +1

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

Builds internal AI agents, tools and prototypes within a small central technical team, turning complex group data into usable products at speed. Work spans Python, TypeScript and SQL, modernising legacy systems, wrapping systems in scalable APIs and contributing to shared data and entity platforms, with weekly demonstrable output.

Python · TypeScript · SQL

• London
• Hybrid
• Mid-level
• Permanent

Join the Platform Team to design and scale Kubernetes-based hybrid compute clusters across private and public clouds, building core platform services and APIs. You will own CI/CD pipelines, monitoring, backup and disaster recovery, and work closely with Machine Learning and Data Science teams to support their computational needs.

Kubernetes · GitHub Actions · ArgoCD +3

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

Leads development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Bridges R&D and production, prioritising initiatives with stakeholders and mentoring junior team members.

PyTorch · TensorFlow · Hugging Face Transformers +1