Artificial Intelligence Jobs

CrowdStrike · London · £140,000 – £215,000 pa

Lead a team of engineers building self-service infrastructure-as-code primitives, architecting large-scale core services and driving cloud cost optimisation across a multi-cloud estate. The role combines people management, on-call ownership and hands-on work with Terraform, Pulumi, Python or Go, Linux and SRE practices, with hybrid working near an office.

CrowdStrike · Reading

A customer-facing technical role supporting enterprise sales: running proof-of-value engagements, demos, RFIs/RFPs and objection handling for a cloud security platform. Also involves competitive research, internal enablement sessions, documentation, and mentoring junior sales engineers.

OpenAI · London

Owns delivery of priority AI initiatives for OpenAI's largest customers, leading complex deployments from scoping and planning through launch and adoption. Builds integrated delivery plans, resolves blockers, drives launch readiness and enablement, and tracks adoption and consumption against agreed value measures. Works closely with account and technical teams, FDEs, customers and delivery partners, and turns customer experience into repeatable playbooks.

CBSbutler Holdings Limited trading as CBSbutler · London · £600 pd

Hands-on AI engineering role building production-grade Generative and Agentic AI for a major public sector programme. Day to day involves designing multi-step agent workflows with LangGraph, LLM applications in Python, end-to-end RAG pipelines, evaluation and guardrails, and deploying on Azure OpenAI, Azure AI Search and Azure AI Foundry within a product squad.

OpenAI · London

You'll partner with early-stage startups to embed Codex into their software workflows, building integrations, automations and reusable tools while troubleshooting technical blockers. A large part of the role is outward-facing: leading technical talks, live demos, workshops and hackathons, then feeding developer insights back to OpenAI's product and research teams.

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.

Square One Resources · London · £600 – £700 pd

Builds production-grade Python services for Generative AI and complex RAG solutions, covering LLM workflow orchestration, retrieval, evidence processing, response generation and validation. Involves asynchronous services, vector/lexical/hybrid retrieval, Pydantic and LangGraph-style orchestration, plus automated testing and observability. Requires delivering GenAI and RAG beyond proof of concept.

83zero · London · £75,000 – £90,000 pa

Design and build intelligent Salesforce solutions, integrating AI capabilities such as Einstein, Prompt Builder and Agentforce into platforms and workflows. Work with business, product and engineering teams to translate complex requirements into scalable technical solutions, optimising data models, automation and integrations with enterprise systems using Apex, LWC and APIs.

Synoptix · Bristol · £65,000 – £85,000 pa

Lead the technical vision and delivery of bespoke AI research programmes, spanning object detection, neural network resilience, AI assurance and synthetic data. Day-to-day work includes high-throughput vision systems on NVIDIA Jetson hardware, CUDA/TensorRT acceleration, multi-modal thermal and optical sensing, and real-time tracking, while guiding junior engineers and engaging senior stakeholders.

Reperio Human Capital · Athlone, Ireland · £69,059 – £86,324 pa

Lead the technical strategy and architecture for Generative AI, Agentic AI and network automation projects, guiding delivery teams that modernise end-client systems. The role blends hands-on engineering with technical leadership across GCP, Python, Kubernetes, APIs and event-driven microservices in a DevSecOps environment.

Amazon · London

Owns the commercial vision and go-to-market strategy for AWS AI services across UK Central Government and Transport, leading complex multi-stakeholder sales engagements from opportunity identification to close. Works with senior government and transport leaders on use cases like citizen services, border management and infrastructure planning, navigating public sector procurement frameworks such as G-Cloud and GCA.

Helsing · Berlin, Germany

Integrates state-of-the-art AI and software into complex customer systems, working directly with avionics engineers and partners to understand unfamiliar data structures, APIs and network protocols, then building adapters to connect them to Helsing's cloud infrastructure. Owns delivery end-to-end, from formalising requirements and fixing bugs to shipping features and running technology demonstrations in simulations or on real systems.

Maxwell Bond · Gateshead · £85,000 – £95,000 pa

Hands-on technical leadership role owning AI development for a product-led platform, taking LLM-powered features from concept to production. Involves architectural decisions on LLM integration, retrieval systems, model selection, plus AI evaluation, monitoring, security and cost management, while mentoring engineers. No direct reports initially.

Data Idols · London · £105,000 – £120,000 pa

Hands-on technical leadership role driving the design, development and deployment of AI, Machine Learning and Generative AI solutions, including LLMs and agentic AI. Partners with business and technology stakeholders to identify high-value use cases, prototype rapidly and take solutions through to production, while shaping the AI technical roadmap and engineering best practices.

eFinancialCareers · London · £150,000 – £180,000 pa

Lead the AI labs for a finance firm's UK office, building Agentic AI solutions from inception to production for investment, sales and marketing departments. Work with AWS, Strands Agents, LangChain and LangGraph on roughly three-month delivery cycles, then hand solutions to departmental tech teams. Also showcase solutions to clients and potentially form partnerships, alongside a manager and two seniors.