Artificial Intelligence Jobs

Amazon · London

Lead teams of technicians running AWS data centre operations, owning the full infrastructure lifecycle from rack installation and break-fix maintenance to decommissioning. The role spans building new sites, vendor management, health and safety compliance, and adopting high-density GPU, AI accelerator and liquid-cooling technologies, with a focus on automation and operational metrics.

Thought Machine · Lisbon, Portugal

Lead and develop a team of engineers while contributing technically to complex, cloud-native banking technology projects. Bridge product, client, and engineering teams to deliver scalable, secure solutions on a modern tech stack. Balance hands-on technical work with people management and strategic delivery in a fast-paced, high-ownership environment.

Thought Machine · Lisbon, Portugal

Full-stack role building end-to-end features across web applications and backend services, with React and TypeScript on the front end and REST APIs behind. Engineers own requirements from design and task breakdown through testing, debugging and production, working in a cross-functional team for banking clients.

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.

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.

Wayve · London

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.

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.

HAYS Specialist Recruitment · Portsmouth · £90,000 – £100,000 pa

Hands-on technical leadership role spanning architecture, solution design, product delivery and software quality across multiple teams. You'll work in a modern TypeScript stack (Node.js microservices, Vue, Redis, SQL Server, SingleStore) on AWS with daily deployments, and help shape how Agentic AI and LLM-powered capabilities accelerate software delivery.

Searchability · Newcastle upon Tyne · £65,000 – £70,000 pa

Hands-on role in a Cloud Operations function, designing and delivering scalable infrastructure automation across a complex cloud estate. Focus on Terraform, Microsoft Azure and Infrastructure as Code, plus CI/CD pipelines and AI-powered automation such as LLM-assisted tooling and AI agents. Includes mentoring engineers and shaping an automation-first engineering culture.

Searchability · Hungerford · £65,000 – £70,000 pa

Hands-on role in a Cloud Operations team modernising multi-cloud infrastructure and building scalable automation. You'll design Terraform IaC modules, enhance CI/CD pipelines, and introduce AI-powered tooling such as LLM-assisted agents, while mentoring engineers and shaping engineering standards.

Synextra · Warrington · £65,000 – £80,000 pa

Senior escalation point for complex Azure incidents across customer environments, spanning compute, networking, DNS, identity and storage, while also contributing to development sprints. Builds and maintains Azure infrastructure with Terraform, improves CI/CD pipelines in Azure DevOps and GitHub Actions, and supports the Azure environments behind the company's AI products. Includes an on-call rota and mentoring of other engineers.

ECM Selection · Cambridge · £40,000 – £70,000 pa

This role involves developing end-to-end machine learning systems integrated with advanced electronics for defence and security applications. You'll work across diverse domains such as computer vision and generative models, building functional prototypes and demonstrators. The role emphasizes innovation, rapid iteration across projects, and close collaboration in a technically driven, low-management environment.

Databricks · London

Customer-facing, billable engineering role owning architecture and design decisions while building production-grade data and AI systems on the Databricks platform. Involves embedding with client teams, integrating with their systems, and delivering end-to-end pipelines, ML/AI models and user-facing applications, with around 20% travel to customer sites.

CrowdStrike · Bucharest, Romania

Owns major components of the Windows kernel-mode endpoint sensor, architecting and building anti-virus and EDR features that cut across file system, memory, process and networking subsystems. Leads projects end to end, from design through unit and component testing, while mentoring and collaborating with a distributed, cross-platform team.

CrowdStrike · Reading

Owns major components of the Falcon endpoint sensor, a Windows kernel-mode driver that observes system activity, prevents malicious behaviour and streams telemetry to the cloud. Work spans architecture, design and delivery across file system, memory, process and networking subsystems, with shared components across Windows, Mac and Linux. Involves leading projects, mentoring and collaborating in a distributed team.