311 jobs for “computer vision”
NVIDIA United Kingdom
Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python, ML framework internals, and CPU/GPU architecture expertise.
NVIDIA United Kingdom
Lead architecture for cloud-networking, defining system architecture for DPUs and NICs across orchestration, provisioning, security and SDN. The role spans application to hardware level, writing architecture specifications and building POC prototypes, while working with global SW/HW architects, R&D and high-profile customers.
Anthropic London £370,000 – £630,000 pa
Builds and improves the core RL training infrastructure researchers rely on, profiling, debugging and rearchitecting bottlenecks across the stack. Partners with researchers and adjacent engineering teams to ship tooling that speeds up training runs, owning reliability and performance end-to-end.
Anthropic London £260,000 – £630,000 pa
Own critical parts of a production pretraining pipeline, covering performance optimization, observability, reliability and hardware debugging across the full training stack. The role sits at the boundary between research and engineering, with on-call incident response during model launches and close collaboration with teams in SF and London. It is unusually operational for a research engineering position, offering hands-on work with some of the largest training runs in the industry.
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.
CrowdStrike United Kingdom
Lead incident response engagements, conducting intrusion investigations under outside counsel and performing host and network forensics across Windows, Mac and Linux, plus basic malware analysis. Produce written and verbal reports for customer management, regulators and legal counsel, and develop new methods to hunt bad actors across large data sets.
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.
OpenAI London
Builds internal tools and data pipelines for lawful data access request workflows and Legal Operations, covering intake, scoping, authorized retrieval, review and audit. Involves backend services, sensitive-data handling, least-privilege access, audit trails and responsible automation, working closely with Legal, Privacy and Security stakeholders.
Wayve London
You'll define and manage the technical architecture for integrating Wayve's AI Driver into OEM and Tier 1 vehicle platforms, covering software–vehicle interfaces, sensors, middleware, ECUs, timing, diagnostics and validation. The role sits between core AI architecture and customer programs, turning ambiguous requirements into interface contracts, ownership boundaries and verifiable specifications.
Wayve London
Lead a London-based team building and operating large-scale multi-cloud, multi-region GPU compute and data infrastructure for training and running ML models. Day to day centres on coaching and hiring engineers, owning roadmap and prioritisation, and guiding Kubernetes scheduling, capacity planning and storage decisions across heterogeneous GPU fleets.
PhysicsX London
Builds the simulation side of Large Physics Models, generating multi-fidelity CFD data to train large-scale ML models. Develops solvers and numerical methods in differentiable or GPU-native frameworks such as JAX or NVIDIA Warp, using commercial and open-source CFD tools for reference data. Works in a research team alongside ML researchers, shaping data generation strategy and fidelity tradeoffs.
PhysicsX Singapore
First technical responder for enterprise and internal platform users, owning issues from triage and first-pass investigation through resolution or escalation to Product, SRE, FDSE or Deployment Engineering. Debugs inside Kubernetes clusters using Linux, Helm, GitOps (Argo CD) and cloud fundamentals, with fixes delivered via reviewed pull requests. Also builds runbooks and shapes a newly forming support function across SaaS, VPC and air-gapped deployments.
Humanoid London
Teleoperate humanoid robots and follow structured procedures to generate high-quality datasets for training AI models, using on-site tools such as the Universal Manipulator Interface. A large part of the work is annotating and labelling multimodal data with precision, escalating anomalies and suggesting workflow improvements. Full training is provided and no technical background is required.
University of Southampton Southampton £46,970 – £49,798 pa
Lead a translational research project extracting structured clinical findings from electronic health records using open-source large language models, harmonising them to ontologies such as HPO, SNOMED CT and ICD-10. Develop reproducible LLM-based pipelines on high-performance computing, integrate clinical and genomic data for autoimmune disease diagnostics, and manage early career researchers within a multidisciplinary team.
Isomorphic Labs London
Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Set strategy and roadmaps, architect next-generation services to solve scaling limits, and partner with research, product and operations teams to align infrastructure with biotech R&D cycles.
