Artificial Intelligence Jobs

• London
• Hybrid
• Senior
• Permanent

Owns complex, ambiguous technical challenges end-to-end, shaping long-term architecture and engineering standards across cloud-native banking platforms. Acts as a link between senior leadership and engineering teams, driving systemic change, mentoring senior engineers, and improving production operations. Uses Go/Python and AI tooling to scale developer velocity.

AI Tools

• London
• Hybrid
• Mid-level
• Permanent

Technical Programme Managers own the delivery of complex, multi-team engineering programmes, from planning and milestones through to coordination and stakeholder communication. The role requires hands-on understanding of microservice stacks such as Kubernetes, Kafka and AWS/GCP, and involves driving continuous improvement across a fast-paced engineering organisation.

Kubernetes · Kafka · AWS +2

• London
• Hybrid
• Lead
• Permanent

Lead large-scale training and post-training for Gaia, Wayve's world model that predicts future driving video and runs closed-loop with the driving stack. Own model architecture decisions, push autoregressive rollouts toward longer, more stable generation, and make the model deployment-ready. Partner with research, applications, simulation engineering and cloud teams, mentoring and setting technical direction.

PyTorch

• 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
• Hybrid
• £600 – £650 pd
• Contract

Designs, builds and deploys machine learning models into production, with a focus on recommendation systems such as personalised product recommendations, ranking and search optimisation. Works with data scientists, engineers and product stakeholders, maintaining MLOps pipelines for CI/CD, model versioning and monitoring on Azure, and retraining models to sustain accuracy on large-scale datasets.

Azure · TensorFlow · PyTorch

• London
• Senior

Designs and builds agentic AI systems with multi-step reasoning, planning and action execution, using Python, Azure OpenAI, Semantic Kernel and LangGraph for multi-agent orchestration. Works on RAG architecture, vector stores, MCP tool integration and productionising LLM services for a major UK retailer, with a focus on performance, cost, latency, governance and responsible AI.

Azure OpenAI · Azure AI Foundry · Semantic Kernel +7

• United Kingdom
• Hybrid · 1 day in office
• £90,000 – £100,000 pa
• Lead
• Permanent

Hands-on technical lead for a large-scale AI programme at a digital consultancy, turning architectural direction into production-grade systems across complex legacy and multi-cloud environments. Responsibilities span RAG pipelines, semantic search, embedding infrastructure, orchestration, Responsible AI guardrails, LLMOps and mentoring client-side engineers.

LangChain · LlamaIndex · AWS +4

• Royston
• £58,000 – £60,000 pa
• Senior

Owns AI security initiatives within a Cyber Security and Compliance team, evaluating and integrating AI security tooling and defending against threats like prompt injection, data leakage and model poisoning. Also builds AI-driven detection and response capabilities, running threat modelling and adversarial testing of AI systems alongside cloud and security platform work.

Python · OWASP Top 10 for LLM Applications · MITRE ATLAS +1

• Manchester
• £60,000 – £80,000 pa
• Senior

Lead the design and ownership of end-to-end enterprise solution architectures for major Financial Services clients, spanning RESTful APIs, microservices, event-driven systems and cloud-native platforms. The role focuses on API-first governance, legacy modernisation and Generative/Agentic AI solutions, with technical leadership across bids, proposals and delivery teams.

AWS · Azure · GCP +7

• Sofia, Bulgaria
• Hybrid
• Senior

Senior backend role with a strong AI focus, designing and building cloud-native distributed services for the OMRS platform that runs thousands of autonomous robots across 120+ live sites. You'll use agentic AI tools daily to ship features faster, improve system stability, and shape how the whole team builds, including on-call duties.

Kubernetes · GCP · AWS +7

• London
• Hybrid · 1 day in office
• £75,000 – £90,000 pa
• Senior

Hands-on engineering role building AI-powered Salesforce solutions for enterprise clients, spanning Agentforce, Einstein AI, Apex, LWC, Flow and APIs. Involves prompt engineering, RAG, Data Cloud integration and event-driven architecture, working directly with client teams from design to deployment. Distinct from configuration work, with mentoring of junior engineers and SC clearance required.

Salesforce · Agentforce · Einstein AI +7

• London
• Hybrid
• £75,000 – £80,000 pa
• Senior

Design and own end-to-end architecture for digital commerce and customer experience platforms, translating business requirements into scalable cloud-native solutions. Lead technical design, governance and risk mitigation while mentoring distributed teams and presenting to senior stakeholders. Involves Salesforce Commerce Cloud and other commerce technologies, with exploration of AI use cases.

Salesforce Commerce Cloud · commercetools · SAP Commerce Cloud +2

• London
• Hybrid
• £80,000 – £90,000 pa
• Senior
• Permanent

This role involves designing and scaling Azure Databricks-based data platforms, building robust data pipelines, and developing AI and LLM-powered capabilities. You will work closely with Product, Engineering, and Business stakeholders to deliver data products that support commercial decision-making and optimize cloud environments for performance and cost.

• Abingdon
• On-site
• US$90,000 – US$120,000 pa
• Permanent

Customer-facing engineering role owning pilots and implementations from requirements through to production. You write and debug TypeScript, build API integrations, and support cloud and on-premises deployments including configuration, access and networking. You also run demos and workshops, feeding customer insight back to engineering and product teams.

TypeScript

• 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