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

Apply Now

Senior Performance Analysis Engineer – Machine Learning

ARM
Haverhill
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Engineer, Machine Learning

Senior Engineer, Machine Learning United Kingdom, London

Senior Machine Learning Engineer

Machine Learning Engineer - Sports AI

Machine Learning Engineer

Machine Learning Engineer – AI for Grid Innovation & Energy Transition

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 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.

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 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.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.