ML Integration and Test Development Engineer

Salary: £45,000 - 80,000 per year

Requirements:

• Strong analytical approach and experience as a software or hardware engineer.
• Strong Python knowledge and comfort developing on Linux or Mac.
• Experience in software development or automated testing.
• Strong communication skills, intercultural awareness, and an inclusive approach to working with others.
• Professional C++ development experience and experience with complex software systems.
• Experience with Machine Learning frameworks or tooling such as PyTorch.
• Experience using Python for software development, ML tooling, testing, or automation.
• Skills in debugging, performance analysis, and solving complex software problems.
• Experience with collaborative software development practices, including source control, code review, testing, and continuous integration.
• We welcome applicants whose experience does not span every part of the ML software stack. Experience with test infrastructure, pre-silicon platforms, Docker, CI/CD systems such as Jenkins, GitLab, or GitHub, data analysis, ML compilers, PyTorch internals, runtimes, drivers, embedded software, performance optimisation, or hardware acceleration is valuable.
• The successful candidate must have the right to work in the UK without relying on sponsorship from Arm.

Responsibilities:

• Develop test infrastructure for our fully automated test flow, including functional and performance testing, visualisation, and report generation.
• Use advanced pre-silicon platforms for next-generation systems to investigate use cases and workloads, and help ensure our IP and systems deliver strong ML performance and quality.
• Develop and optimise C++ and Python software for Machine Learning workloads.
• Work closely with ML software and hardware engineers to understand model execution and identify opportunities to improve performance and efficiency.
• Contribute to work that may include ML compilation, PyTorch integration, runtimes, drivers, performance analysis, or embedded software.
• Contribute to technical design, take ownership of larger engineering challenges, and support the development of other engineers.
• Follow up on potential issues, take ownership beyond assigned tasks, and work to achieve the right outcomes.
• Use current AI tools and technologies to improve development, testing, and problem-solving.

Technologies:

• AI
• ARM
• CI/CD
• Docker
• Embedded
• Flow
• GitHub
• GitLab
• Hardware
• Support
• Jenkins
• Linux
• Machine Learning
• PyTorch
• Python

More:

We are building software that helps Machine Learning and AI workloads run efficiently on next-generation Arm compute platforms. Our work sits at the intersection of Machine Learning, software, and hardware, with projects across the ML software stack. We offer opportunities to work on complex engineering challenges, share ideas with and learn from engineers across our global community, and contribute in small, collaborative teams where individual contributions make a difference. We support continuous learning and career development and provide a comprehensive range of employee benefits. Our hybrid-working approach balances in-person collaboration with flexibility, with patterns determined by each team and role. We are committed to an accessible recruitment process, can provide adjustments or accommodations, and are an equal opportunity employer.

last updated 40 week of 2026