Artificial Intelligence Jobs

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

Adecco · Cambridge

Lead the AI engineering strategy and delivery of advanced AI products and platforms, reporting to executive leadership. Manage software, platform and AI engineering teams, driving adoption of Agentic AI, LLMs, RAG and multi-agent architectures on Azure, AWS or GCP. Requires a strong engineering background and proven leadership in high-growth environments.

Adecco · Cambridge

Lead the AI engineering strategy and delivery of advanced AI products and platforms, reporting to executive leadership. Manage software, platform and AI engineering teams, driving adoption of Agentic AI, LLMs, RAG and multi-agent architectures across Azure, AWS or GCP. Requires a strong engineering background and proven leadership in high-growth environments.

Anthropic · London · £190,000 – £230,000 pa

Lead and grow a distributed EMEA team of Applied AI Architects, setting pre-sales standards and acting as technical lead on strategic digital-native accounts. The role involves use case scoping, POCs, demos, and guiding customers through GDPR, EU AI Act, and data residency requirements while partnering with Sales, Product, and Engineering.

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.

PhysicsX · New York, United States · US$240,000 – US$300,000 pa

Leads regional deployment engineering for a physics AI platform, owning end-to-end success of customer-owned infrastructure deployments. Acts as primary technical contact for CIOs and CTOs, overseeing Kubernetes-based platform rollouts, security reviews, and version upgrades while hiring and growing a team of deployment engineers.

Faculty · London

Lead and grow a banking practice within an applied AI consultancy, shaping go-to-market strategy and building relationships with C-suite banking leaders. You will drive complex AI transformation programmes from strategy through software delivery, generate revenue through pitches and demos, and mentor multidisciplinary teams. The role blends commercial ownership with deep sector expertise in a regulated industry.

Nordson · Colchester

Lead and unify a globally distributed software engineering organisation across Colchester, Feldkirchen, Bangalore and remote teams in Europe and Asia. The role balances customer-specific delivery with strategic product roadmaps, architectural modernisation and the adoption of AI both in engineering processes and in X-ray, acoustic and optical inspection products.

Tech Recruitment Specialists Ltd · London · £40,000 – £50,000 pa

About the RoleWe’re looking for motivated individuals to join our team as Junior AI Software Engineers, no previous experience in AI, software development, or IT is required. Whether you're looking to start your first role in tech or make a...

Anthropic · London · £255,000 – £325,000 pa

Founding leader for Anthropic's Forward Deployed Engineering practice, hiring and developing a team that embeds with strategic enterprise customers to ship production AI applications. Player-coach role balancing technical review, architecture oversight and hands-on debugging with setting standards, building repeatable playbooks and partnering with Sales, Product and Engineering. Requires travel to customer sites 25-50% of the time.

Corecom Consulting · Belfast · £25,500 pa

A two-year academy programme for career changers with no prior experience or degree, combining full-time hybrid training with client project work. Trainees cover Agile, SQL, APIs, Python, testing, data science and AI/ML, then work as an AI Engineer and Software Quality Engineer on real client projects.

Ocado · United States

Hunter-style enterprise sales role carrying a quota and driving growth across US and Canadian retail, e-commerce and 3PL markets, closing complex deals typically worth $1M–$5M over 6–18 month cycles. Works with solutions, deployment and customer success teams, selling Ocado IQ software and AMR robotics to C-suite and operations leaders, with 40–60% travel.

Databricks · London

Lead a team of Enterprise Named and Strategic Account Executives covering Telco and Utilities in UKI, owning team quota and growing platform consumption. You set territory plans, quotas and patches, drive forecast accuracy and partner with cross-functional teams on a full revenue and customer success process. Reports to the RVP, Enterprise.

Faculty · London

Build and lead a Professional Services practice, shaping go-to-market strategy and leading complex AI transformation programmes for major firms. Act as a strategic advisor to C-suite leaders, driving commercial growth and guiding multidisciplinary teams of engineers and data scientists. Focus on agentic AI in regulated, knowledge-work-heavy sectors.

Morson Edge · West Yorkshire · £170,000 – £180,000 pa

A senior leadership role owning the data and AI strategy, roadmap and technical direction across the organisation. Day to day it spans hands-on work with generative AI, LLMs, RAG and agentic architectures, MLOps and data platform governance, plus building and leading a high-performing Data & AI team and partnering with Product, Engineering, Architecture and Security to scale prototypes into production.

Wayve · London

Owns the data strategy behind an end-to-end autonomous driving AI platform, spanning the full learning cycle from foundation model training to production programmes. Leads a multidisciplinary data organisation, deciding what data matters and building the flywheel from real-world signals through discovery, curation and enrichment. Focuses on finding rare, safety-critical scenarios in very large datasets using embeddings, semantic search and model-driven selection.