188 jobs for “Cloud”
Entrust United States - Field
Defines and governs a four-plane reference architecture (Identity, Authority, Execution, Assurance) for an agentic trust layer, owning agent identity, delegated authorization, evidence ledgers and policy engines. Acts as design authority and architecture gate across product lines, chairs review boards and represents the company in standards bodies.
CrowdStrike Ireland
Builds and operates large-scale distributed data pipelines, storage and presentation layers for the Intelligence team, owning systems from design and prototyping through production operations. Works autonomously with internal analyst customers, choosing the tech stack and maintaining both new and legacy Go and Python services.
CrowdStrike Romania
Builds and operates large-scale data processing pipelines, storage systems and presentation layers for the Intelligence team, owning systems from design through prototyping, implementation and production operations. Works autonomously on a distributed remote team, gathering requirements from analysts and choosing the technology stack, with existing Go and Python codebases to maintain.
OpenAI London
Senior technical owner for a portfolio of education customers, acting as the technical counterpart to institutional leadership. Shapes AI strategy across ChatGPT Edu, the OpenAI API and Codex, guiding institutions from pre-sales discovery through deployment and adoption. Requires education-sector fluency and hands-on architecture skills.
Anthropic London US$405,000 – US$485,000 pa
Design, build and operate the MCP proxy plus OAuth and token management that route and authenticate every external tool call for Claude products. Own reliability through SLOs, on-call and incident response, build enterprise admin controls and permission models, and contribute to the MCP spec and official Python and TypeScript SDKs.
Anthropic London £165,000 – £190,000 pa
Partner with founders and engineers to architect LLM solutions on the Claude Developer Platform, guiding startups from technical discovery through deployment. Win technical evaluations, build evaluation frameworks, and feed emerging use cases back to Product and Engineering. Requires travel to customer sites and startup events.
Signal AI London
Full-stack engineer owning revenue-critical products end to end, from problem discovery with research, design and product through to production. Day to day involves building UIs and data visualisations, large-scale distributed services, AWS infrastructure and observability, with heavy pair programming and AI-assisted development using tools like Claude Code.
Randstad Technologies Recruitment London £400 – £450 pd
Hands-on role owning the day-to-day analytics engine and live ML models (credit, recommendation, ranking) for an international platform across UK and Canadian markets. Responsibilities include monitoring model health and drift, triaging pipeline and partner feed issues, running live tests, and handling time-sensitive regulatory data pulls such as FCA returns and DSARs. Works closely with Product, Marketing, Engineering, Compliance and Support teams.
WeDoTech London £800 – £1,000 pd
Senior hands-on staff engineer driving adoption of Agentic AI and production ML across multiple engineering teams. Defines reusable architectures and patterns, builds production RAG and LangGraph/LangChain systems, and improves AI evaluation, observability, MLOps and model-risk controls in a regulated environment.
Ocado Hatfield
Hands-on technical role owning Retail Media and Google Analytics 4 analytics for the Enablement & Martech team, building and troubleshooting Looker Explores, resolving data-quality issues and scoping aggregation tables. Acts as liaison between Analytics Engineering, Product and commercial stakeholders to define, govern and migrate core Ecom metrics, while mentoring junior analysts and driving Looker governance.
Maxwell Bond London £150,000 – £175,000 pa
Hands-on role building LLM agent and retrieval systems on a small UK core team, reporting to the Head of Engineering. Work spans LangGraph/LangChain workflows, RAG pipelines with Qdrant and GraphRAG on Neo4j, model integration across Anthropic, OpenAI and Bedrock, plus evaluation harnesses and observability. Token cost, latency and auditability are treated as engineering constraints throughout.
Multiverse London
Leads the Diagnose & Prescribe engineering team, owning delivery, technical direction and team health across AI-heavy services for learner diagnosis, eligibility and recommendations. Stays hands-on with distributed designs, RabbitMQ event schemas, API contracts and production code while carving logic out of a legacy monolith into dedicated services.
