430 jobs for “ai analyst”
Darktrace Cambridge
Conducts independent and collaborative research across large language models, statistical methods and classical machine learning, prototyping ideas and implementing models into the wider software stack. Produces optimised solutions for latency and memory, including deployment on edge devices, working closely with software engineers and security analysts.
Darktrace Cambridge
Contributes to security research projects spanning rapid prototyping and open-ended initiatives, with a focus on generative AI security and attacker tradecraft. Investigates threats such as prompt injection, poisoning and extraction attacks, and provides feedback to product, development and machine learning teams. Hybrid role requiring two days a week in the London or Cambridge office.
Faculty Remote (UK)
Lead complex machine learning delivery and sector strategy within the Defence team, acting as a trusted technical authority. Own project scoping, technical selling and client management while writing production-grade code and mentoring data scientists. Requires eligibility for UK Security Clearance and 2-4 days per week on client sites.
NVIDIA United Kingdom
Engages directly with customers and partners to architect and validate large-scale GPU-accelerated HPC/AI clusters, spanning hardware handover through Day 2 production stability. Works tool-agnostically across upstream Kubernetes, KubeVirt, Slurm, Prometheus/Grafana and Cumulus/SONiC, owning burn-in testing, fleet reliability and enablement runbooks.
NVIDIA Germany
Engages directly with customers and partners to architect and validate large-scale GPU/HPC clusters, owning full-solution validation and Day 2 production stability at fleet scale. Works tool-agnostically across upstream Kubernetes, KubeVirt, Slurm, Prometheus/Grafana and Cumulus/SONiC, acting as hands-on technical leader and trusted advisor for assigned accounts.
Databricks London
Owns the end-to-end technical strategy for customer accounts, leading architecture discussions and designing scalable data engineering, ML/AI and real-time analytics solutions on the Databricks platform. Acts as a trusted advisor to customer architects and engineering leads, driving platform adoption and competitive wins while developing a declared technical specialisation.
Databricks London
Customer-facing engineering role owning architecture and design decisions while building production-grade data, AI and application systems on the Databricks platform. You embed with client teams, from technical ICs to executives, to scope and deliver end-to-end solutions, contributing reusable accelerators and product feedback. Requires hands-on coding in Python, Scala or TypeScript, deep Apache Spark and distributed computing expertise, and multi-cloud knowledge, with around 20% travel to customer sites.
Wayve London
Owns the autonomy performance measurement framework for a public-scale robotaxi deployment, defining metrics, dashboards and release gates for an end-to-end learned driving system with no existing playbook. Runs the performance improvement loop across model, robot software, backend and evaluation tooling, leading cross-functional execution without direct reporting authority while staying hands-on in Python, C++ and SQL.
Wayve London
Lead functional safety activities for an end-to-end autonomous driving system, building Item Definitions, running HARA/FMEA/FTA analyses, and shaping safety concepts and architectures across vehicle platforms and third-party systems. Define verification and validation, including vehicle-level testing, and construct structured safety cases with claims, arguments and evidence to support certification.
CrowdStrike United Kingdom
Serve as a senior technical consultant on front-page incident response engagements for Fortune 100 organisations, conducting intrusion investigations under project leadership and outside counsel. Perform host and network forensics across Windows, Mac and Linux, hunt threat actors in large data sets, and produce written and verbal findings for customers, regulators and legal counsel.
CrowdStrike Spain
Serve as a senior technical consultant on front-page incident response engagements for Fortune 100 organisations, conducting intrusion investigations under project leadership and outside counsel. Perform host and network forensics across Windows, Mac and Linux, hunt threat actors in large data sets, and produce written and verbal findings for customers, regulators and legal counsel.
MFK Recruitment Brentford £70,000 – £95,000 pa
Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.
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.
CONVENTUS SOLUTIONS LIMITED Cyprus
Bridges research and production engineering, deploying and testing computer vision and ML systems for object tracking, automated monitoring and intelligent triaging in live environments. Involves turning research models into production-grade software, running specialised data collections and labelling, and briefing senior leadership on capability. Requires expert Python, Docker, Kubernetes and active DV clearance.
eFinancialCareers London
Architects, deploys and supports machine learning and GenAI infrastructure on AWS, building CI/CD pipelines and turning data science models into production systems. Works within an AI Enablement team using Terraform, Jenkins, Kubernetes and SageMaker, with a focus on auditability, versioning and data security while liaising with clients on requirements.
