Latest Graph Representation Learning Jobs

Machine Learning Scientist

Develop novel machine learning methods for molecular and protein discovery, bridging cutting-edge research with practical engineering implementation. Work on geometric deep learning, diffusion models, and 3D representations in biological systems, translating scientific ideas into deployable tools. Collaborate closely with engineers and scientists in a hybrid London-based role focused on high-impact AI for life sciences.

Platform Recruitment London, United Kingdom £85,000 – £100,000 pa

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Staff Robotics Engineer, 3D Sensing

Develop and lead the technical architecture for LiDAR and cross-sensor 3D sensing systems, focusing on calibration, synchronisation, and motion compensation across diverse vehicles and environments. Design robust algorithms for sensor alignment and temporal registration using optimisation and state estimation techniques. Provide technical mentorship and drive production-grade deployment of 3D sensing pipelines across Wayve’s autonomous driving platform.

Wayve London, United Kingdom

AI Compiler Engineer

Design and develop AI compiler infrastructure targeting specialised hardware platforms, working across compiler pipelines, optimisation passes, and performance-critical software components. Optimise ML workloads and computational graphs for efficient execution on next-generation AI and edge computing systems. Contribute to compiler technologies using LLVM/MLIR and closely integrated hardware-software stacks.

IC Resources Bristol, Eng, United Kingdom £80,000 pa

Hybrid Permanent

ML Systems Engineer

Develop and maintain a software 'digital twin' to model and benchmark a high-speed knowledge layer for agentic AI systems. Design and run experiments to evaluate performance improvements from semantic memory, using GraphRAG and enterprise knowledge graphs, while aligning software models with hardware development. Produce rigorous benchmarks and evidence for technical validation, fundraising, and pilot support.

IC Resources Edinburgh, United Kingdom

On-site Permanent

Compiler Engineer - AI Inference

Develop and optimize compilers for AI inference workloads on NVIDIA's next-generation GPUs, focusing on kernel generation, computational graph optimizations, and hardware-software co-design. Collaborate with cross-functional teams to advance compiler frameworks and enable high-performance AI deployment at scale. Work spans MLIR-based tooling, deep learning performance, and datacenter-scale optimization.

NVIDIA Cambridge, United Kingdom

Compiler Engineer - AI Inference

This role involves developing advanced compiler technologies for AI inference and training workloads, focusing on kernel generation and computational graph optimizations tailored to NVIDIA's GPUs. You'll work at the intersection of hardware and software, collaborating with experts to co-design future silicon and optimize datacenter-scale AI deployments. The position demands deep expertise in compiler design, MLIR, and performance optimization in high-performance computing environments.

NVIDIA United Kingdom

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers and customers to solve complex physics and engineering challenges using AI. The role involves building scalable ML pipelines, working with 3D point-cloud and mesh data, and translating R&D into deployable tools. Engineers will also travel to customer sites globally to implement solutions on-site, ensuring practical, impactful delivery across industries like aerospace, energy, and semiconductors.

PhysicsX England £150,000 – £190,000 pa

On-site Permanent Clearance Required

AI Engineer (Agentic Systems)

Design and build LLM-powered agentic workflows that help generate testable therapeutic hypotheses for rare diseases by reasoning over scientific data, knowledge graphs, and proprietary methods. Collaborate closely with drug discovery scientists and engineers to translate real-world problems into reliable, production-grade agent systems. Work within an existing agentic framework to enhance and scale AI-driven decision-making in drug discovery.

Healx Cambridge, United Kingdom

Hybrid Permanent

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers, data scientists, and customers to develop AI-driven solutions for engineering and manufacturing challenges. The role involves building scalable ML pipelines, working with 3D point-cloud and mesh data, and translating R&D into deployable tools. The position requires strong software engineering practices and customer-facing delivery, with opportunities for international travel.

PhysicsX United Kingdom £150,000 – £190,000 pa

Remote Permanent

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Staff ML Performance Engineer (Inference Optimisation)

Optimise machine learning inference performance for edge and GPU accelerators, focusing on efficient execution of large transformer models in low-power, cost-constrained environments. Work across the full stack—from model graphs and compilers to kernels and embedded deployment—to deliver measurable improvements in latency, memory, and power. Collaborate with model developers and contribute to tooling and technical roadmaps for production-grade autonomous driving systems.

Wayve London, United Kingdom

Hybrid Permanent

Agentic Systems Engineer (Digital Services)

Design and build proactive, human-centred agentic systems that reason, plan, and act across domains like biotech, robotics, and AI. Develop full-stack architectures from edge reasoning to cloud deployment, integrating multimodal sensing and persistent memory. Work in agile, cross-disciplinary teams to rapidly prototype and productionise breakthrough systems for high-impact clients.

Cambridge Consultants United Kingdom

Hybrid Permanent Clearance Required

Forward Deployed Engineer

This role involves working directly with client teams to design, build, and deploy AI-driven solutions in live research environments. You will translate complex research questions into production-ready workflows, optimize LLM applications, and integrate data pipelines across cloud platforms. The role also includes collaborating with non-technical stakeholders and feeding insights back into the product and engineering teams.

Harnham - Data and Analytics Recruitment Manchester, United Kingdom £80,000 – £130,000 pa

Remote Permanent

Machine Learning Modeling Lead - DTG Capital Markets

This role involves leading the development and deployment of machine learning models that power the firm's trading systems. Responsibilities include setting the long-term vision for the model portfolio, designing training pipelines, building explainability tools, and mentoring a team of ML researchers. The position requires deep expertise in modern ML methods, real-time systems, and quantitative finance.

eFinancialCareers London, United Kingdom

Remote Permanent

Research Scientist (Applied LLMs), London

A Research Scientist role focused on applying Large Language Models to drug discovery challenges, working within an interdisciplinary team of AI and life sciences experts. The position involves developing novel LLM-driven methods, refining models for biological and medical applications, and collaborating across scientific domains. The role requires deep technical expertise in LLMs and a strong foundation in machine learning and computational science.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Research Scientist (Machine Learning), London

A Research Scientist in Machine Learning will develop novel deep learning models and algorithms to accelerate drug discovery, working in a cross-disciplinary environment with scientists and engineers. The role involves designing architectures, training models, and applying cutting-edge ML techniques to biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.

Isomorphic Labs London, United Kingdom

Hybrid Permanent