Software Engineer within ML

ARM
Haverhill
7 months ago
Applications closed

Related Jobs

View all jobs

Staff Software Engineer, MLOps (Remote within UK)

Lead Data Engineer - MLOps

Software Engineer II - Machine Learning

Lead Data Engineer - MLOps

Machine Learning/AI Engineer (KTP Associate)

Front-End Software Developer – Mid/Senior

Job Overview:

Arm is seeking a highly motivated and creative Software Engineer to be based in either Lund (Sweden) or Cambridge (UK) to join a software development team working on Machine Learning compilers, predominantly in C++.

The software we develop is what enables neural networks to be deployed on both present and future hardware, making the most out of every cycle and every milliwatt.

Responsibilities:

As a software engineer, contributing to the design and implementation of a machine learning compiler. Taking ownership of your tasks and sharing collective responsibility for the success of the project.

As a member of a self-organising scrum team, applying agile methodologies to plan, implement and deliver on time, quality software.

As a hybrid worker (40% in office) and part of a cross-site team, engaging with your colleagues both virtually and in person. We expect you to be capable of working independently, or in small groups, with a high degree of initiative. Be collaborative and relatable as well a good communicator, able to discuss your work at an appropriate level of detail for your audience. And you need to be proficient in English language, both written and spoken.

Required Skills and Experience :

The software you create will be dealing in both sophisticated abstractions and fine-grained detail. We therefore expect from you:

  • Strong problem solving abilities
  • Constant and compelling desire to improve

We set ourselves high engineering quality standards. You will therefore need an understanding of:

  • Programming, particularly C++ but also scripting languages such as Python
  • The software lifecycle, from feasibility through to production and support
  • How to rigorously test software and design software for test

“Nice To Have” Skills and Experience :

Exposure to any of the following:

  • Compiler development
  • Low-level hardware interactions
  • Neural Network Processing Units (NPU) or Graphics Processing Units (GPU) and how they are used for ML.

In Return:

At Arm, you will enjoy working in a highly stimulating and supportive workplace. We work closely with other software, hardware and system teams across the company. You will have a chance to share ideas with and learn new skills from the best engineers in the world.

Arm offers a generous benefits package including sabbatical leave, private medical insurance, supplementary pension and wellness benefits. We have a hybrid working approach where we offer people the flexibility to work part of their time from home.

 

 

#LI-MZ1

 

 

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.