420 jobs for “ai analyst”
CrowdStrike Ireland
Lead a team of data scientists working at the intersection of machine learning, large language models and cybersecurity, translating business needs into technical objectives and driving research into production ML systems. The role combines people leadership, roadmap planning and stakeholder communication with hands-on work on malware detection and threat analysis at massive scale.
CrowdStrike Redmond, United States US$140,000 – US$215,000 pa
Owns the product strategy for CrowdStrike Falcon Privileged Access, driving the shift from legacy vaulting to just-in-time, zero-standing-privilege access across endpoints, infrastructure and cloud. Works with designers and other product teams to build frictionless elevation experiences and secure secrets, non-human identities and brokered admin sessions using Falcon telemetry and AI. Hybrid role with at least two days a week in office.
Databricks London
Hybrid technical and commercial role acting as post-sale technical lead across all Databricks products for strategic accounts. You own the technical account strategy and execution plan, driving use cases from win to production, coordinating internal teams, and reporting on usage and customer health. Requires Python or Spark programming and customer-facing architecture or consulting experience.
Databricks United Kingdom
Owns and grows Databricks' public sector business across the Republic of Ireland and Scotland, inheriting an established book of strategic government accounts. Runs a consumption-led sales motion, building an Ireland-wide go-to-market plan and net-new pipeline while co-selling with AWS, Azure and Google Cloud partners.
NVIDIA Cambridge
Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components for end-to-end inference. Involves mapping large-scale neural network workloads onto future hardware, working with LLVM/MLIR, and collaborating with hardware architects on codesign. Hybrid role based in Cambridge.
NVIDIA United Kingdom
Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components and mapping large-scale inference workloads onto future hardware. Works at the intersection of compilers, systems and deep learning, using LLVM/MLIR and frameworks like PyTorch and TensorFlow, and collaborates with hardware architects on codesign.
EMBS Engineering London £75,000 – £85,000 pa
Lead a team of AI developers while remaining hands-on, building enterprise-grade Generative and Agentic AI applications for a financial services client. Work spans Python and Java services, FastAPI APIs, LLM integrations, RAG architectures and agent-based workflows on AWS Bedrock, AgentCore and EKS, plus CI/CD and DevOps. Also involves setting engineering standards and mentoring within a consultancy team.
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.
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.
Anthropic London £225,000 – £255,000 pa
Serve as a trusted technical advisor to high-growth startups building on the Claude Developer Platform, leading deep engagements that include pair programming, architecture reviews, and code contributions. Develop evaluation frameworks, prototypes, and technical documentation, and feed patterns back to Product and Engineering. Requires production LLM application experience and frequent travel to customer sites.
OpenAI London
Senior technical owner for a portfolio of public sector customers, shaping AI strategy from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures spanning models, data, integration, identity, security and governance while coordinating deployment, enablement and partner specialists.
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.
Infused Solutions London £65,000 – £75,000 pa
Senior AI EngineerLocation: Remote (UK) or Hybrid - London (1 days per week in the office if London-based)Salary: £65,000 - £75,000 + Excellent BenefitsJob Type: PermanentPlease note: Applicants must have the right to work in the UK. Unfortunately, visa sponsorship...
Scale AI London
Sets standards for responsible AI, model governance and production MLOps across a public sector team, and builds or validates the highest-risk parts of strategic AI systems. Acts as senior technical partner to client leadership, leads severe incident resolution, and coaches other applied AI engineers. Requires deep production AI/ML ownership and experience with regulated, sovereign or on-premise deployments.
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.
