Latest Graph Representation Learning Jobs

Spotlight

ML Runtime Engineer (Mid-Level and Senior)

Design and develop high-performance ML runtime systems for AI accelerators, integrating with open-source frameworks like PyTorch and vLLM. Work closely with hardware and software teams in a co-design environment to optimize inference performance. Build low-level runtime components in Rust and contribute to the full stack of ML inference infrastructure.

Fractile London, United Kingdom

Hybrid Permanent

Senior AI Engineer (Gen AI & RAG)

As a Senior AI Engineer, you will design, build, and deploy production-grade generative AI systems, focusing on RAG pipelines, agentic workflows, and rigorous evaluation frameworks. You will provide technical leadership, mentor engineers, and collaborate closely with platform, product, and delivery teams to ensure AI systems are accurate, reliable, and grounded in business value.

The Portfolio Group Ec4V4Dy, EC4V 4DY, United Kingdom £75,000 – £85,000 pa

On-site Permanent

Relational Foundation Model Engineer, Modern Data Stack

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...

NVIDIA Germany

Relational Foundation Model Engineer, Modern Data Stack

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...

NVIDIA

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 North Tyneside, NE29 8EP, United Kingdom £150,000 – £190,000 pa

On-site Permanent Clearance Required

Agentic AI Engineer (life sciences)

This role involves designing and building LLM-powered agentic workflows that assist drug discovery scientists in generating testable therapeutic hypotheses for rare diseases. The engineer will work cross-functionally to integrate AI agents with a knowledge graph, scientific literature, and proprietary methods, refining systems that reason over complex biomedical data. Success includes owning workflows from concept to production, with a focus on reliable, evaluable, and maintainable agent design in a fast-moving AI landscape.

Healx Cambridge, United Kingdom

Hybrid Permanent

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

Machine Learning Engineer II, Intelligent Talent Acquisition - Lead Generation & Detection Services

This role involves building and scaling AI/ML-powered systems to transform talent acquisition at Amazon, with a focus on developing foundational data platforms and knowledge graphs. You'll work closely with scientists and engineers to deliver machine learning solutions across the full recruitment lifecycle, leveraging deep learning and generative AI. The position emphasizes software development for large-scale systems that support hiring at global scale.

Amazon Edinburgh, Alba / Scotland, 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

Head of Artificial Intelligence (Gen-AI)

Leads the strategic and technical development of cutting-edge Generative AI solutions, including a proprietary RAG-based conversational agent, integrated across business intelligence and compliance services. Drives end-to-end design, deployment, and optimisation of LLM pipelines and agent workflows in production, while mentoring engineering teams and shaping the AI function. Focuses on high-quality, low-hallucination outputs through advanced data-chunking, semantic search, and model evaluation.

The Portfolio Group Manchester, United Kingdom £130,000 – £150,000 pa

Hybrid Permanent Clearance Required

Senior Engineer – AI & Workplace Enablement

This role involves modernising the digital workplace by leveraging Microsoft 365 E5 services and AI technologies to improve user experience and operational efficiency. The engineer will lead Copilot adoption, build AI-powered automation with Copilot Studio, and ensure secure, compliant configurations across identity, endpoint, and collaboration platforms. Responsibilities span technical leadership, automation through PowerShell and Infrastructure as Code, and driving AI governance and productivity initiatives across global teams.

dunnhumby London, United Kingdom

Hybrid Permanent

Agentic Systems Engineer (Digital Services)

The role involves designing and building novel agentic systems that combine AI reasoning, real-time human interaction, and multi-modal sensing to solve complex, real-world problems in domains like biotech and robotics. You'll develop layered architectures with persistent memory, stateful reasoning, and agent orchestration, moving rapidly from prototype to production. The work emphasizes engineering rigor, cross-disciplinary collaboration, and deploying scalable, observable cloud systems.

Cambridge Consultants United Kingdom

Hybrid Permanent Clearance Required

GCP AI Infrastructure & Cloud Engineer - London

This role involves building and managing secure, scalable cloud environments on GCP and Azure to support enterprise AI workloads, including model hosting, vector databases, and LLMOps pipelines. The engineer will collaborate with AI, security, and compliance teams to ensure robust, governed platforms while driving cost optimisation and operational efficiency. Key responsibilities include configuring API gateways, maintaining sandbox environments, and implementing automation for AI infrastructure.

Tenth Revolution Group London, United Kingdom £90,000 – £115,000 pa

Hybrid 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