National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Staff Software Engineer - Machine Learning

ARM
Newmarket
7 months ago
Applications closed

Related Jobs

View all jobs

Principal Software Engineer

Software Engineer (Machine Learning)

Software Engineer

Software Engineer (Machine Learning)

Staff Machine Learning Engineer

Staff Machine Learning Engineer

Arm's Machine Learning (ML) Group is seeking a highly motivated and creative Software Engineer to join and lead a growing team of brilliant engineers located in Cambridge, UK specialising in ML frameworks and compilers.

 

This role presents an opportunity to contribute to sophisticated ML technology supporting Arm's ML Hardware. You will help to build the software that enables development of deep learning applications in many ground-breaking fields including self-driving cars, generative AI engines and ML-powered wearables.

Job Description:

The ML Tooling team is looking for a software engineer with line management experience who can build a range of innovative compiler solutions for a variety of markets.

You will apply your experience and insight to craft and optimise compilers for machine learning networks that target Arm’s CPUs, GPUs and NPUs.

Responsibilities:

  • Contribute to deliver production-grade software and push the boundaries of Machine Learning compilation
  • Recruit, develop, support and retain your engineers working as part of a larger team
  • Build, extend and collaborate on innovative ML compilation software projects, such as TensorFlow, PyTorch, TOSA and the broader MLIR ecosystem
  • Work with other groups in Arm to expand support for Arm architecture and ecosystem

Required skills and experience:

  • A passion for software development and quality
  • Line management of a small team (4-8 engineers)
  • Proven experience with C++, understanding of Python is a plus
  • Experience with the full software development lifecycle - planning, designing, developing, testing, delivering, and maintaining production-quality software
  • Experience with or interest in compilers
  • Desire to learn new skills and technologies and work in a highly motivated team
  • High degree of initiative and problem solving skills
  • Ability to own team's delivery and lead others on large or more sophisticated tasks
  • Excellent communication skills.

"Nice to have" skills and experience:

  • Experience with contributing to open-source projects and working with a broader open-source community
  • Knowledge or curiosity about computer vision, machine learning, their applications and frameworks
  • Experience with Linux and scripting languages, such as shell-scripting

In Return:

On top of the already compellingLife at Arm, we offer strong team culture, learning opportunities, regular career conversations, emphasis on diversity, equity and inclusion and a continuous improvement approach.

 

#LI-JB1

Accommodations at Arm

At Arm, we want our people toDo Great Things. If you need support or an accommodation toBe Your Brilliant Selfduring the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.