Latest Graph Representation Learning Jobs

Spotlight

Senior Computational Chemist, LNP Design

This role involves leading the computational design of lipid nanoparticles for nucleic acid delivery, using chemical and biophysical principles, AI tools, and molecular simulations. You will work closely with the experimental team to translate computational insights into testable strategies and refine formulations iteratively.

CureAge Therapeutics London

Hybrid Permanent Part-time

Spotlight

Engineering Manager - dominAI

The Engineering Manager for the dominAI team will lead a multidisciplinary engineering group, focusing on people management, delivery, and technical direction. Key responsibilities include setting clear expectations, removing blockers, and partnering with the Product Manager to align on priorities and technical investments. The role involves hands-on coding, hiring, and shaping the team's environment and processes.

Hadean London

Hybrid Permanent Clearance Required

Principle Engineer, 3D Reconstruction

This role involves leading the development of an offline 3D reconstruction system for autonomous vehicles, defining technical architecture, and guiding the transition to a robust platform. You will work closely with cross-functional teams to align requirements and ensure high-quality data for driving decisions.

Wayve London

Hybrid Permanent

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

Hybrid 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

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 UK, Remote

AI Engineer (Agentic Systems)

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.

Healx Cambridge

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 San Francisco, United States £150,000 – £190,000 pa

Remote Permanent

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 New York, United States £150,000 – £190,000 pa

On-site Permanent Clearance Required

Machine Learning Engineer

Hands-on role building LLM agent and retrieval systems on a small UK core team, reporting to the Head of Engineering. Work spans LangGraph/LangChain workflows, RAG pipelines with Qdrant and GraphRAG on Neo4j, model integration across Anthropic, OpenAI and Bedrock, plus evaluation harnesses and observability. Token cost, latency and auditability are treated as engineering constraints throughout.

Maxwell Bond London £150,000 – £175,000 pa

On-site

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

Data Scientist

The role involves working with a regulated firm to develop and deploy machine learning models, perform data analysis, and support model validation. Key responsibilities include data wrangling, model development, and deployment using tools like Python, SQL, and containerized environments.

BDO London

AI/ML Engineer

This role involves designing, building, and operating production-grade AI systems, including multi-step workflows, retrieval systems, and evaluation frameworks. You'll work closely with engineering leadership to shape technical direction and mentor other engineers.

Harnham - Data and Analytics Recruitment London £100,000 – £130,000 pa

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

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

Hybrid Permanent

Data Scientist II, Alexa for Shopping Science UK

This role involves developing and optimizing AI-driven conversational shopping experiences using large language models, multimodal data, and advanced machine learning techniques. The Data Scientist will analyze vast datasets to improve customer interactions with Alexa for Shopping, focusing on NLP, recommender systems, and knowledge graphs. Collaboration with engineers and scientists is key to deploying scalable solutions and driving product innovation through experimentation and data insights.

Amazon London

Hybrid Permanent

AI Engineering Manager

This role involves leading multidisciplinary teams to design, develop, and deliver production-grade AI and machine learning solutions. Responsibilities include technical direction, architecture, and ensuring scalable, secure, and reliable AI systems, with a focus on healthcare and other regulated environments.

eFinancialCareers London £90,000 – £120,000 pa