Artificial Intelligence Jobs

Thought Machine · Lisbon, Portugal

Owns complex, ambiguous technical challenges end-to-end, shaping long-term platform architecture and company-wide engineering standards. Drives adoption of AI tooling, leads technical interviews, and mentors senior engineers while acting as a link between leadership and engineering teams. Based in the Lisbon office, requiring three days a week onsite.

Thought Machine · London

Guardian of mission-critical production infrastructure powering core banking and payments platforms for major financial institutions. Involves automating fleet management, designing disaster recovery and capacity planning, participating in a global on-call rotation, and mentoring engineers while working with senior stakeholders and SaaS customers.

eFinancialCareers · London · £110,000 – £140,000 pa

You will join a small AI labs team as one of two senior engineers, building Agentic AI solutions for internal investment, sales and marketing departments, taking projects from inception to production in roughly three-month cycles. Work centres on Python, AWS, LangChain and LangGraph, with client demos and potential partnerships, before handing solutions to departmental tech 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 full-stack TypeScript environment (Node.js microservices, Vue, Redis, SQL Server, SingleStore) on AWS with daily deployments, and help shape how Agentic AI and LLM-powered capabilities are used to accelerate delivery.

Anthropic · London · £150,000 – £190,000 pa

Pre-sales architect role building technical relationships with Global and Regional System Integrators and cloud partners (AWS, GCP) to accelerate indirect revenue and enable partners' AI practices. Involves joint solution development, reference architectures, unblocking strategic customer deals, and representing the company at partner events and hackathons.

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.

Hunter Selection · Bristol · £85,000 – £100,000 pa

Lead the implementation of AI solutions within a professional services business, taking direct responsibility for end-to-end delivery of AI products. The role blends hands-on engineering (C#, Python, Azure, DevOps/CI-CD) with enterprise agent design, RAG and LLM work, while acting as an internal AI advocate and engaging stakeholders at all levels.

Ocado · Hatfield

Lead the team maintaining, developing and controlling Ocado's Oracle EPM Cloud platform, owning the service end to end, its roadmap and a well-governed change process. The role covers environment management, Oracle cloud update testing, disaster recovery, IT general controls and audit readiness, with hands-on solution design and growing use of data, automation and AI tooling.

SJIT · London · £550 – £650 pd

Lead a London specialty insurer's first AI initiative from a blank slate, identifying and prioritising use cases such as broker submissions, document processing and claims data. Shape the data, tooling and governance foundations, then build and ship production solutions using LLMs, RAG and cloud AI services. The role also involves explaining work to senior stakeholders and handing over to the in-house team.

Reperio Human Capital · Dublin, Ireland · £388 – £474 pd

Hands-on engineering role owning AI/ML initiatives end-to-end, from solution design and experimentation through deployment, monitoring and optimisation. Involves building production ML and GenAI solutions including RAG architectures, working with Snowflake and cloud data platforms, and developing Python and R software with strong MLOps, CI/CD and DevSecOps practices. Collaborates with data, product and business teams to turn ambiguous problems into scalable, secure solutions.

Hays Technology · United Kingdom · £90,000 – £100,000 pa

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.

Hays Technology · Newcastle upon Tyne · £450 – £550 pd

Hands-on technical lead role within a major AI transformation programme, designing and building production-grade RAG pipelines, semantic search, vector/embedding infrastructure and generative AI capabilities. Involves LLM orchestration, agentic workflows, AI evaluation and guardrails, MLOps, and mentoring engineers while integrating solutions into complex cloud and legacy environments.

Darktrace · Cambridge

Acts as the go-to authority in a chosen reliability specialism—observability, performance engineering, data infrastructure, security-focused SRE or network reliability—defining standards and best practices across SRE, Platform Engineering and DevSecOps. Builds tooling and automation, leads deep-dive investigations into systemic issues, and contributes to incident response and on-call rotations in a cloud-native, Kubernetes-based environment.

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.