Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Software Engineer – Machine Learning

NLP PEOPLE
Cambridge
2 days ago
Applications closed

Related Jobs

View all jobs

Principal Machine Learning Engineer

Staff Machine Learning Engineer - Autonomy

Data Analysis Scientist - Machine Learning

Research Data Scientist - Machine Learning

Data Scientist - Machine Learning/Python/Tableau

Data Science Principal

Job Overview

Arm’s Strategy & Ecosystems group is hiring in western Europe! Want to help show developers the ML 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 design and deliver machine learning software packages, tools, and reference workloads that help internal teams and partners explore and evaluate the capabilities of upcoming Arm-based platforms. These efforts support early validation, performance analysis, and enablement of advanced workloads targeting machine learning use cases.

Responsibilities:

  • We apply our deep software expertise and collaborative spirit to work directly with leading technology companies, shaping the future of compute before silicon even exists.
  • You will play a critical role in enabling and validating software stacks on pre-silicon platforms—including simulators, emulators, and prototypes—to ensure the seamless deployment of high-performance solutions when silicon arrives. This includes providing architectural design guidance, as well as designing, developing, and deploying machine learning workloads tailored to pre-silicon environments.
  • You will work closely with multi-functional teams to resolve functional bottlenecks and deliver optimized, production-ready solutions.
  • Responsible for building proof-of-concept ML solutions that showcase upcoming neural accelerators, enabling early adoption, advising product strategy, and helping partners realise their vision.

This is an excellent opportunity to contribute to the solutions powering the Arm GPUs with neural accelerators.

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

Required skills and experience:

  • Good programming skills – preferably C++, OOP and scripting languages such as Python and Bash
  • A desire to have a positive impact both within our team and the wider Arm ecosystem
  • Strong understanding of machine learning fundamentals and frameworks such as PyTorch and TensorFlow

‘Nice to have’ abilities and knowledge:

  • Performance evaluation experience and knowledge of potential pitfalls
  • Knowledge of hardware modelling concepts, including configuration and latency definition files
  • Graphics programming experience with mobile GPUs (e.g. using shaders, Vulkan) and graphics pipeline concepts
  • Ability to use ADB (Android Debug Bridge) for device interaction and log capture
  • Android application or background service development

In Return:

In return, the successful candidate will get to influence the next wave of developers on how best to deploy AI 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.

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation 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 or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation.

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.

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.

Company:

ARM

Senior Role:

5+ years of experience

Equal employment opportunities will be provided to all applicants, and we encourage people of all backgrounds and identities to apply.


#J-18808-Ljbffr

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.