Latest PhysicsX Jobs

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and traveling globally to co-develop solutions on-site. The engineer will work with 3D data, CAE/CFD/FEA models, and time-series forecasting, translating R&D into robust, reusable tools.

PhysicsX England US$200,000 – US$250,000 pa

On-site Permanent Clearance Required

Staff Machine Learning Software Engineer, Research

This role involves leading machine learning research initiatives in a high-performance computing environment, focusing on scalable AI models for multi-physics simulation in engineering and science. The engineer will bridge research and production by transforming prototypes into robust, distributed systems, mentoring junior staff, and shaping technical strategy. Work spans cloud and on-premise infrastructure with a strong emphasis on MLOps, software engineering best practices, and real-world deployment across advanced industries.

PhysicsX London, United Kingdom

On-site Permanent

Machine Learning Engineer (Computer Vision)

This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance in complex real-world environments.

Platform Recruitment Cambridge, Cambridgeshire, United Kingdom £85,000 – £160,000 pa

On-site Permanent

Physicist – Photonics & Optics

This role involves tackling diverse technical challenges in optical physics and applied science, with a focus on designing and developing photonic integrated circuits for applications in defence, healthcare, and energy. The physicist will work hands-on in the lab and on desk-based analysis, contributing to innovative projects such as sensing chips, imaging systems, and miniaturised photonic devices. Collaboration within multidisciplinary teams and rapid learning of new domains are central to the role.

Cambridge Consultants United Kingdom

On-site Permanent Clearance Required

Solution Architect, Local Government AI

The role involves guiding government clients in adopting AI to enhance public services, by designing and demonstrating technical solutions using NVIDIA's AI platforms. You'll create educational resources, support proofs of concept, and collaborate with technical teams on deployment. The position emphasizes mentorship, product advocacy, and translating public-sector challenges into scalable AI workflows.

NVIDIA

Remote Permanent

Solution Architect, Local Government AI

This role involves working closely with government clients and partners to design and deploy AI-driven solutions that address public sector challenges in areas like safety, health, and urban services. The Solution Architect will develop technical strategies, create educational resources, and support proofs of concept using NVIDIA's AI platforms. A strong focus is placed on translating mission goals into scalable AI implementations, particularly in computer vision, generative AI, and large language models, while collaborating across global teams and ecosystems.

NVIDIA

Remote Permanent Clearance Required

Machine Learning Engineer Modelling

Develop advanced mathematical and machine learning models for complex industrial and scientific systems, integrating first-principles physics with AI techniques. Work across the full modelling lifecycle using large-scale sensor and operational data to build predictive digital representations of physical processes. Operate in a high-autonomy role with direct influence on technology strategy and product direction within a mission-driven deep-tech team.

Newton Colmore Guatemala

Hybrid Permanent

Senior ML Compiler Engineer

Design and develop a high-performance ML compiler stack for AI accelerators, focusing on optimizing large language models. Collaborate closely with hardware, runtime, and ML teams in a full-stack co-design environment. Help define the IR, optimization passes, and execution model for a novel computing architecture.

Fractile London, United Kingdom

Modelling Engineer

Develop pre-silicon software models for AI accelerator hardware to support architecture exploration, performance analysis, and early software development. Work closely with hardware, software, and machine learning teams in a co-design environment. Focus on functional, architectural, and performance modelling using SystemC, C/C++, and Python.

Fractile Bristol, United Kingdom

Hybrid Permanent

Data Scientist - Financial Services

This role involves end-to-end ownership of existing analytics and production data science models for UK and Canadian markets, with a focus on revenue monitoring, partner performance, email campaigns, and experimentation. The Data Scientist will maintain and troubleshoot live systems rather than build new models, ensuring reliability and clear communication with cross-functional teams. The position requires strong operational discipline and technical maintenance of established pipelines and reporting.

EF Recruitment London, United Kingdom £480 – £500 pd

Lead Machine Learning Engineer

This role involves leading a team of machine learning engineers while maintaining hands-on technical contributions to ML system design, deployment, and continuous improvement. The position shapes engineering best practices, mentors junior staff, and leads cross-functional teams through the full lifecycle of AI/ML projects—from discovery to production. It also includes supporting pre-sales efforts and ensuring robust, scalable solutions are delivered with clear communication to non-technical stakeholders.

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £81,322 – £112,488 pa

Hybrid Permanent

Senior Machine Learning Research Engineer

This role involves building and scaling generative and predictive machine learning models for cellular behaviour using multi-omic and interventional biological data. The engineer will implement large neural networks, optimise distributed training and inference pipelines, and collaborate closely with ML scientists and biologists to translate research into production-grade systems. Work focuses on robust infrastructure development, performance optimisation, and integrating cutting-edge ML tooling within an interdisciplinary team.

Relation Therapeutics London, United Kingdom

Permanent

Machine Learning Engineer

This role involves designing, building, and deploying advanced machine learning models to solve complex operational challenges in real-world environments. You will work closely with a high-calibre founding team, industrial data, and customer environments to take machine learning systems from early validation through to scalable deployment.

Platform Recruitment London, United Kingdom £60,000 – £70,000 pa

On-site Permanent

Machine Learning Scientist

This role involves designing and prototyping novel generative machine learning models for protein design, with close collaboration between computational and experimental teams. The scientist will build scalable data pipelines, optimize deep learning models for performance, and iteratively refine models based on wet lab feedback. A strong emphasis is placed on code quality, interdisciplinary collaboration, and translating model outputs into real-world biological functions.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

W

Applied Scientist/Machine Learning Engineer Gaia

Develop next-generation generative world models and interactive simulation systems to enable closed-loop training and evaluation of autonomous driving agents. Focus on high-efficiency, real-time rollouts with strong physics fidelity and scalability, integrating models into production pipelines to bridge sim-to-real gaps. Work at the intersection of ML research and deployment in a fast-paced, interdisciplinary environment.

Wayve London, United Kingdom