Machine Learning Ecosystem Engineer

Cambridge
6 months ago
Applications closed

Related Jobs

View all jobs

Staff Machine Learning Engineer

Principal Machine Learning Engineer

Senior Machine Learning Developer

Senior DataOps Engineer

Senior Data Scientist - Outside IR35 Contract

Data Science Consultant - Edinburgh

Job Overview

Arm's Machine Learning group is hiring in western Europe! Want to help show developers the AI capabilities of efficient, next-generation mobile devices? If so, we should talk!

We are a diverse team of hardworking problem solvers located across multiple countries and our flexible working practices enable us to collaborate efficiently across our different regions. We develop examples that we share with the world to highlight the frameworks and techniques available to developers seeking to run AI on Arm.

Responsibilities:

We use our interpersonal and communications skills in direct contact with outstanding companies across multiple technology domains - we forge new paths and assist developers the world over to follow in our footsteps, helping them to bring their visions to bear.

This is an excellent opportunity to contribute to the solutions powering the next generation of mobile applications, portable devices and home automation.

We look forward to receiving your application - and potentially welcoming you to Arm.

Required skills and experience:

Good programming skills - preferably C++ and OOP

Experience of machine learning frameworks such as TensorFlow or PyTorch

A desire to have a positive impact both within our team and the wider Arm ecosystem

"Nice to have" abilities and knowledge:

Programming mobile GPUs (e.g. using shaders, Vulkan) would be a valuable differentiator

Development experience using Kotlin or Java

Android application development using Android Studio

In Return:

In return, the successful candidate will get to influence the next wave of developers on how best to deploy Machine Learning workloads on Arm processors. You'll have the chance to interact with a wide range of engineers from prospective Arm customers through to members of the Arm ecosystem. Your work will be published widely, whether as technical blogs or open source code repositories.

 

#LI-JB1

 

Accommodations at Arm

At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during 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 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.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.