2 of 2 Permanent Performance Engineering Jobs in Oxford

Data Scientist, Machine Learning Engineer, ML Engineer, Data Science Engineer, High-Performance Engineering, Python, Data, Pandas, numpy, scikit-learn, pytorch - Oxford - up to 55K About the Role: Join an elite engineering organisation's Software Engineering & Data team, where you'll develop cutting-edge machine learning solutions that directly impact performance at the highest level of … competition. This is a unique opportunity to work alongside Software and Platform Engineers, tackling complex technical challenges from design and manufacture through to live performance analysis. You'll be responsible for proposing, developing, implementing, and maintaining ML-based solutions while collaborating closely with engineering teams across the business. Key Responsibilities: Propose, develop, and deploy machine learning solutions for … complex technical problems Communicate with engineering teams to analyse challenges and develop solutions Work autonomously to deliver results within tight schedules Maintain and improve existing data science pipelines Share knowledge and collaborate across the team Essential Requirements: BSc or MSc degree in a relevant field for Data Science 2+ years development experience in Python and machine learning techniques (production More ❯

We're representing a high-performance engineering team developing record-breaking control and computing systems that blend software, hardware, and scientific research into a cutting-edge platform. Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates. Their technology has already achieved world-first milestones for precision and performance … C++, Python, and Rust. Architecting solutions that integrate custom hardware, sensors, and distributed computing systems. Implementing control, synchronisation, and data acquisition logic to run complex experimental setups. Optimising for performance, latency, and stability across multiple software layers. Contributing to architectural decisions, mentoring junior developers, and driving software quality across the team. Collaborating closely with scientists and hardware engineers to … direction, from development practices to infrastructure and tooling. What you'll bring Extensive experience building low-level or control system software in C++ and Python, ideally in a scientific, engineering, or robotics environment. Strong grasp of real-time systems, multithreading, data acquisition, and hardware communication. Comfortable architecting systems that bridge the physical and digital worlds. A collaborative, pragmatic approach More ❯