228 jobs for “Deep Learning Engineer”
PhysicsX Singapore
Lead the deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimisation) into customer production environments. Own scoping, architecture and success metrics for data/ML systems, mentor engineers, and work on-site with customers across North America, Europe, Asia and Oceania for 3-4 weeks per quarter.
PhysicsX Singapore
Builds and delivers high-fidelity multi-physics CFD models, from geometry clean-up and meshing to simulation and post-processing, integrating experimental data for validation. Automates parametric CAD and simulation pipelines for design optimisation and DoE, generating datasets for machine learning surrogates. Works on-site with customers and mentors junior colleagues, with global travel up to 2-3 weeks per quarter.
Faculty Remote (UK)
Deliver bespoke, production-grade machine learning systems for defence clients, spanning the full ML lifecycle from architecture and scoping to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, embedding ethical AI in high-stakes situations. Requires UK Security Clearance and 2-4 days per week on client sites.
Faculty London
Lead the technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging research and production. You'll set engineering standards for safe ML deployment, build scalable cloud infrastructure and multi-agent tooling, and partner with Frontier Labs on safety evaluations. The role also involves advising senior client stakeholders and mentoring engineering talent.
Capital One Loughborough
Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role combines technical direction-setting, stakeholder collaboration and mentoring, taking models from prototype through to production in a hybrid Nottingham-based team.
Capital One Lincoln
Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role combines technical direction-setting, stakeholder collaboration and mentoring junior team members, taking ideas from prototype through to production.
NVIDIA Cambridge
Hands-on compiler engineering focused on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs, solving complex compilation problems for AI inference and training workloads. Works with MLIR, C/C++ and Python, collaborating with software, hardware and research teams on hardware/software co-design and datacenter-scale AI deployment.
NVIDIA United Kingdom
Hands-on development of kernel generation and computational graph optimizations for next-generation NVIDIA GPUs, solving complex compilation problems for AI inference and training workloads. The role involves hardware/software co-design with software, hardware and research teams, and scaling datacenter AI deployments, with heavy use of MLIR, C/C++ and Python.
Healx Cambridge
Design and build LLM-agentic workflows that reason over knowledge graphs, proprietary methods and scientific literature to generate and triage therapeutic hypotheses for rare diseases. Works closely with drug discovery scientists in a cross-functional team, using Python, ADK and AgentSpace, with scope to own workflows end to end.
Anthropic London £260,000 – £630,000 pa
Join the Pretraining team to develop next-generation large language models, working across model architecture, algorithms, data processing and optimizer development. You'll lead small research projects, design and analyse experiments, and scale distributed training infrastructure to thousands of GPUs, balancing research goals with practical engineering.
Electus Recruitment Bristol £50,000 – £58,000 pa
Research, develop and evaluate image processing and computer vision algorithms for advanced defence applications, applying AI and machine learning to complex imaging challenges such as segmentation, tracking, detection and classification. Work alongside multidisciplinary specialists using Python, MATLAB or Simulink, with a predominantly onsite pattern of four to five days per week in Bristol.
Holt Executive Oxfordshire £60,000 – £94,000 pa
This role involves designing and developing advanced computer vision algorithms for object detection, tracking, and 6DoF pose estimation, integrating them into embedded and flight software, and supporting system-level testing and validation. The engineer will lead technical efforts, mentor team members, and collaborate across disciplines including GNC, flight dynamics, and hardware. Work spans algorithm design, sensor integration, and robust deployment in safety-critical or aerospace environments.
Matchtech Bristol
Research, develop and evaluate image processing and computer vision algorithms for complex weapon systems, using imaging sensors for situational awareness and precision targeting. Work spans tracking, optical flow, deep learning and computational imaging, built mainly in Matlab/Simulink and Python with PyTorch, within a collaborative department linked to MBDA sites in France and Germany.
Isomorphic Labs London
Builds greenfield machine learning models and algorithms for drug discovery, designing new architectures, running experiments and scaling training and inference frameworks. Works in an interdisciplinary team of ML scientists, engineers and domain experts, with opportunities to lead projects and mentor others depending on experience.
Latent Labs London
Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. The role spans data curation, evaluation metrics, rapid prototyping, cloud training/inference optimisation and planning wet lab testing campaigns, with about 10% of time for self-development.
