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

Apply Now

Software Engineer

ARM
Haverhill
10 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer III Data Engineering

Software Engineer - Graph Data Science

Senior Software Engineer, Machine Learning

Senior Lead Software Engineer - CDAO Metadata Engineering

Data Engineer

Global Director of Software and Data Engineering, Enterprise Data Office

We are looking for a software engineer with a strong analytical approach to join our team and help ensure the best performance and quality with most recent Arm ML software and IP. The successful engineer will be highly flexible, quick to learn and be motivated by the opportunity to understand and improve the performance of future Machine Learning and Generative AI solutions using Arm technology.

 

Are you our next team member?

 

We are a dedicated and multi-faceted engineering team working together to ensure that Arm delivers performant and functional ML software and hardware solutions and enables our partners to build highly competitive products. Using detailed analysis and characterisation, we advise and influence Arm engineering, marketing, and external partners.

The team covers a wide range of software and hardware levels, application domains, workloads and types of analysis to get a full and accurate picture of ML performance capabilities, limitations and improvement opportunities.

Job Description

As a member of the ML System Analysis team you will explore, analyse and influence the direction of performance on current and future Arm IP. You will use latest mobile devices to understand new use-cases and significant workloads to ensure Arm IP and systems deliver excellent ML and Generative AI performance and quality. We work closely with other specialists across Arm, including software, IP, and Systems teams to understand, explore and challenge the limits of performance capabilities.

Responsibilities

Build, run and analyse performance tests on a broad range of IP and ML software. Analyse and understand workloads, systems and performance expectations. Produce technical summaries for a range of audiences, based on detailed analysis and interpretation of results. Share knowledge and influence others, both within ML Group and wider across Arm.

Required Skills and Experience

You have experience working with SW development or automated testing.

  • Good python knowledge is essential.
  • You have a passion for analysis and improvements.
  • A high level of pro-activity, initiative and problem-solving skills as well as willingness to tackle varied technical challenges.

You have strong communication skills; inter-cultural awareness and you embrace diversity.

"Nice To Have" Skills and Experience:

  • If you have some knowledge about factors which influence device performance, working with test infrastructure, hardware and software debugging, presentation skills, or some familiarity with data analysis that would be great too!

In return

In return at Arm, you will enjoy working in a highly stimulating environment. 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. We work in small teams, so your contributions will really make a difference.

 

#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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.