228 jobs for “Deep Learning Engineer”
PhysicsX New York, United States US$90,000 – US$130,000 pa
Customer-facing role owning the full account journey for industrial clients, from onboarding and change management to executive reviews and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate engineering challenges into AI solutions, while building internal tooling to scale account operations.
PhysicsX New York, United States US$150,000 – US$250,000 pa
Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate industrial engineering challenges into product opportunities, tracking engagement and measuring value. Hybrid role based in Manhattan with remote flexibility.
NVIDIA United Kingdom
Serves as the primary technical contact for academic and research partners, driving adoption of NVIDIA's accelerated computing and AI stack. Works hands-on with researchers on large language model training, fine-tuning, inference and agentic workflows at supercomputing scale, delivering workshops and mentoring power users. Involves around 30% travel and close collaboration with research labs and university faculty.
Faculty London
Lead the design, build and deployment of production-grade ML and software systems for clients across pharma, academia and MedTech. The role blends hands-on Python and cloud engineering with architecture decisions, client-facing technical advisory and mentoring junior engineers. Work spans scalable infrastructure, container orchestration and embedding best practices for deploying machine learning at scale.
Faculty London
Builds and scales AI-powered systems for public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Works in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.
Wayve London
Own a substantial work package end-to-end, defining the problem, setting strategy and sequencing work to ship outcomes for an end-to-end AI driving platform. Lead a cross-functional team of engineers, researchers and PMs without formal authority, translating R&D progress and customer needs into a product roadmap with clear KPIs and milestones.
Cohere London
Design and implement novel research ideas, ship state-of-the-art models to production, and maintain deep connections to academia. The role blends engineering and research, with everyone contributing to production code and experimentation on large-scale distributed training infrastructure. Compute-to-engineer ratio is unusually high, and the position is remote-friendly with no location restrictions.
Cohere London
Own end-to-end technical program delivery for UK public sector and defence customers, from initial deployment through production scaling, acting as the bridge between frontier AI capabilities and government requirements. Navigate procurement, security authorisations, data sovereignty and compliance while coordinating Applied ML, Forward Deployed Engineering, Platform and Product teams. Work spans air-gapped, on-premises and highly regulated environments.
Wayve London
Own the end-to-end architecture and technical roadmap for Remote Assistance, the real-time bridge between Wayve's AI Driver and human operators, spanning onboard vehicle integration, offboard services and operator HMI. Define the vehicle–operator contract, fallback/MRM behaviour and latency budgets, and drive cross-org execution across autonomy, safety, platform and product teams feeding into the L4 safety case.
OpenAI London
Senior technical owner for a portfolio of education customers, acting as the "CTO of your book of business" from pre-sales discovery through deployment and adoption. Owns technical account plans across ChatGPT Edu, the OpenAI API and Codex, translating institutional priorities into architectures, adoption roadmaps and use-case portfolios.
OpenAI London
Lead a team of senior Applied AI Architects acting as technical CTOs for OpenAI's largest North EMEA customers, owning technical account plans across ChatGPT Enterprise, the API, Codex and agentic solutions. Sets the regional operating model with Sales, allocating technical resources and guiding customers from pre-sales discovery through production adoption.
ElevenLabs United Kingdom
Build the tools that make Studio a video editor people want to live in, including transitions, color grading and elements libraries on top of an in-house engine, plus presets that spare users from tweaking many controls. The role mixes greenfield features with polish on the existing editor, such as one-step keyboard shortcut rebinding for editors coming from Premiere Pro or Final Cut Pro. You write proposals, get fast feedback, and own features through launch, including the marketing moment.
University of Oxford Oxford £39,424 – £47,779 pa
Two postdoctoral roles in the Visual Geometry Group, each tied to a separate project funded by Toyota Motor Europe or Amazon. One develops deep reinforcement learning and computer vision for robust visuomotor policies transferring to real robots; the other studies 3D geometry and motion representations for vision-language-action robotic manipulation, including deformable objects, with evaluation on real hardware.
Reed Cambridge
Lead statistical and bioinformatics analysis projects, developing computational algorithms and applying machine learning to functional genomics research. Work with NGS, OMICS and high-throughput datasets alongside laboratory scientists, using Python, R or Julia and libraries such as TensorFlow and PyTorch. The role also involves mentoring and cross-functional collaboration in a multidisciplinary research team.
Isomorphic Labs London
Lead translational pharmacology for an AI-first drug discovery team, shaping neurodegeneration strategy and target validation. Design screening cascades, profile AI-designed molecules, and manage CRO studies while bridging computational and experimental biology.
