Latest Physics Jobs

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

Senior Forward Deployed Software Engineer

This role involves building and deploying full-stack applications that integrate AI-driven physics simulation models to solve complex engineering problems for clients across aerospace, energy, automotive, and other advanced industries. You'll work closely with customers on-site and collaborate with data scientists and engineers to design, prototype, and iterate tools that transform engineering workflows. The position emphasizes end-to-end ownership, rapid development, and translating real-world engineering challenges into impactful software solutions using modern cloud-native technologies.

PhysicsX England US$150,000 – US$250,000 pa

Hybrid Permanent

Machine Learning Engineer – Ship Design & Hydrodynamics (KTP Associate)

The role involves translating research into commercial solutions by developing and validating physics-informed models for ship resistance, propulsion performance, and energy efficiency. The engineer will also design and implement multidisciplinary optimization methods and extend NeuralShipper’s capabilities to wind-assisted propulsion systems.

University of Southampton Southampton, Hybrid, South East England, United Kingdom £41 – £45 pa

Contract

R&D Scientist

This role involves leading scientific research projects in applied physics and imaging technology, with a focus on developing advanced algorithms using MATLAB, machine learning, and AI to enhance X-ray and optical detection systems. The scientist will conduct modelling, data analysis, and experimental research, translating findings into practical solutions for real-world applications. Collaboration with engineering and leadership teams ensures integration of scientific innovations into products.

Euro Projects Recruitment Basford, Nottinghamshire, United Kingdom £30,000 – £40,000 pa

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 on a variety of projects.

Platform Recruitment London, United Kingdom £80,000 – £160,000 pa

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.

Platform Recruitment Oxford, Oxfordshire, United Kingdom £85,000 – £160,000 pa

Machine Learning Engineer

Design and optimize machine learning models for hardware acceleration on platforms such as GPUs and QPUs, focusing on low-latency distributed systems and algorithm development. Work closely with international clients using cutting-edge simulation and modeling technologies. Operate as a senior individual contributor within an established engineering team.

Hexwired Recruitment Limited London, United Kingdom £80,000 – £120,000 pa

Graduate Electronics & Software Engineer (2027 start)

This role involves working on a wide range of multi-disciplinary projects, from consumer devices to defence and national security. Responsibilities include designing and implementing embedded systems, writing software in C, and collaborating with clients throughout project phases.

Cambridge Consultants United Kingdom

Electronics / Software Engineer

This role involves designing and implementing embedded systems across diverse domains such as robotics, defence, and consumer products. You'll work on hardware and software development, including C programming, FPGA design, PCB design, and system integration, within multidisciplinary teams solving high-impact technical challenges. The position emphasizes innovation, client interaction, and continuous learning in a fast-paced consultancy environment.

Cambridge Consultants United Kingdom

On-site Permanent Clearance Required

Quantitative Research Scientist - Systematic Trading

This role involves conducting original quantitative research to develop statistical and mathematical models for trading, using large, noisy datasets and proprietary infrastructure processing billions of market events daily. The scientist will translate research into production code, peer-review ideas, and explore unconventional approaches with potential investment value. The position emphasizes deep mathematical problem-solving, programming rigor, and collaboration in a research-driven, intellectually autonomous environment.

eFinancialCareers London, United Kingdom

Quantitative Researcher - Systematic Equities

Develop and test alpha-generating strategies for systematic equity portfolios using statistical techniques, machine learning, and large-scale data analysis. Work closely with portfolio managers to transition research into live trading, building predictive models and robust research infrastructure in Python. Focus on rigorous backtesting, signal validation, and collaborative research in a high-impact environment.

eFinancialCareers London, United Kingdom

Solutions Architect, CSP GTM

Design and demonstrate GPU-accelerated solutions leveraging NVIDIA and GCP technologies for generative AI and machine learning workloads. Collaborate with developers, data scientists, and technical leaders to optimize training and inference pipelines on hyperscaler infrastructure. Act as a technical bridge between NVIDIA, Google Cloud, and enterprise customers to drive adoption of accelerated computing in AI.

NVIDIA Reading, United Kingdom

Developer Technology Engineer, Energy

This role involves optimizing GPU-accelerated HPC and AI workloads for the energy sector, focusing on CUDA performance tuning for seismic processing, reservoir simulation, and power grid modeling. The engineer will work closely with customers and internal teams to profile, debug, and enhance multi-GPU and multi-node performance, delivering scalable solutions and reusable code. A strong background in low-level GPU optimization and HPC workflows is essential.

NVIDIA

Remote 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