Artificial Intelligence Jobs

Thought Machine · Lisbon, Portugal

Builds end-to-end features across web applications and backend services, owning requirements from engineering design through task breakdown, implementation and production debugging. Works with React, TypeScript and REST APIs in a cross-functional team of backend, front-end and full-stack engineers, with automated testing integrated throughout the development lifecycle.

Thought Machine · London

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.

Anthropic · London · £325,000 – £485,000 pa

Owns the full lifecycle of accelerator capacity, from ingesting and provisioning compute across major clouds and custom datacenters to scaling clusters and building health, diagnostics and repair automation for GPU, TPU and Trainium nodes. Sets technical strategy for node lifecycle management and drives cross-team initiatives to keep one of the industry's largest AI compute fleets reliable and usable.

Akkodis · London · £60,000 – £85,000 pa

Lead end-to-end technology procurement and sourcing for Central Government, Defence and National Security programmes, developing commercial strategies and managing competitive tenders and supplier evaluations. Provide commercial expertise across cloud, cyber, data and AI procurements, supporting governance, assurance and senior stakeholder engagement.

Wayve · London

Owns reliability of large-scale GPU, Kubernetes and distributed AI training infrastructure, turning recurring operational problems into durable engineering solutions. Improves observability, automation, deployment safety, capacity planning and incident learning, and builds GitOps delivery with Argo CD or Flux. Works across AI Platform, Compute & Data Platform and Cloud Infrastructure teams.

OpenAI · London

Hands-on engineering partner to international public-sector customers, delivering scoped GenAI and agentic use cases from mission need through architecture, evaluations, production and handoff. Works with government agencies, systems integrators and cloud providers on data residency, sovereign and regulated deployments, building prototypes on model APIs and Codex while feeding insights back to Product and Research.

C4S Search Ltd · London · £600 – £650 pd

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.

Wayve · London

Build and operate a globally distributed Data Transfer Hub moving petabytes of video, LiDAR and sensor data per day between Wayve and partners such as Uber, Stellantis and Nissan. Write pipeline logic in Python, manage infrastructure with Terraform, and use Flyte, Kafka and Azure for orchestration, event-driven lifecycle tracking and storage. The small, high-autonomy team owns production reliability, observability and cost efficiency, with an out-of-hours on-call rotation once the service is established.

Mason Frank International · London · £70,000 – £75,000 pa

Design and deliver AI-powered Salesforce solutions for public sector and regulated organisations, building Agentforce agents, AI copilots and intelligent workflows. Development uses Apex, LWC, Flow, JavaScript, APIs and MuleSoft, integrating Salesforce with enterprise platforms under secure-by-design principles. Works alongside architects, consultants and senior stakeholders in Agile delivery teams.

CBSbutler Holdings Limited trading as CBSbutler · Uxbridge · £600 – £625 pd

Hands-on technical leadership across a major airline's Data & AI team, driving a 2026 data engineering workstream. You will design scalable AWS data pipelines, implement CI/CD and DevOps practices, and mentor data and software engineers. Snowflake and AI-assisted development experience are desirable.

83zero · London · £350 – £400 pd

Hands-on engineering role building and deploying AI solutions across the Microsoft ecosystem, including Azure OpenAI, Copilot Studio and Azure AI services. Day-to-day work covers AI applications, copilots, agents and automated workflows, plus RAG and enterprise search using internal business data, integrating with Microsoft 365, SharePoint, Dataverse and other systems. Solutions are taken through development, testing and into production, with responsibility for security, governance, monitoring and cost.

Adria Solutions · Huddersfield · £35,000 – £45,000 pa

Supports AWS infrastructure, CI/CD pipelines and automation for software and machine learning workloads, including packaging, versioning and deploying ML models. Works alongside software and AI engineers to keep development, testing and production environments consistent, monitoring pipelines and fixing issues. Suited to an early-career engineer with cloud, scripting and Git foundations and an interest in MLOps.

Ocado · Sofia, Bulgaria

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.

Sanderson · London · £550 – £700 pd

Builds, deploys and maintains machine learning models and end-to-end ML pipelines in a modern cloud environment, writing production-quality Python and SQL. Works with data scientists, analysts and engineers to take AI products from proof of concept to production, including NLP and large language model work, plus monitoring and documentation.

Harnham - Data and Analytics Recruitment · London · £80,000 – £85,000 pa

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.