National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Software Engineer - Generative AI innovation with Armtechnology (Hiring Immediately)

ARM
Cambridge
7 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer

Software Engineer, Machine Learning

Software Engineer (Machine Learning)

Software Engineering Manager – Machine Learning

We are looking for a software engineer with a stronganalytical approach to join our team and help ensure the bestperformance and quality with most recent Arm ML software and IP.The successful engineer will be highly flexible, quick to learn andbe motivated by the opportunity to understand and improve theperformance of future Machine Learning and Generative AI solutionsusing Arm technology. Are you our next team member? We are adedicated and multi-faceted engineering team working together toensure that Arm delivers performant and functional ML software andhardware solutions and enables our partners to build highlycompetitive products. Using detailed analysis and characterisation,we advise and influence Arm engineering, marketing, and externalpartners. The team covers a wide range of software and hardwarelevels, application domains, workloads and types of analysis to geta full and accurate picture of ML performance capabilities,limitations and improvement opportunities. ## Job Description As amember of the ML System Analysis team you will explore, analyse andinfluence the direction of performance on current and future ArmIP. You will use latest mobile devices to understand new use-casesand significant workloads to ensure Arm IP and systems deliverexcellent ML and Generative AI performance and quality. We workclosely with other specialists across Arm, including software, IP,and Systems teams to understand, explore and challenge the limitsof performance capabilities. ## Responsibilities Build, run andanalyse performance tests on a broad range of IP and ML software.Analyse and understand workloads, systems and performanceexpectations. Produce technical summaries for a range of audiences,based on detailed analysis and interpretation of results. Shareknowledge and influence others, both within ML Group and wideracross Arm. ## Required Skills and Experience You have experienceworking with SW development or automated testing. * Good pythonknowledge is essential. * You have a passion for analysis andimprovements. * A high level of pro-activity, initiative andproblem-solving skills as well as willingness to tackle variedtechnical challenges. You have strong communication skills;inter-cultural awareness and you embrace diversity. ## Nice To HaveSkills and Experience: * If you have some knowledge about factorswhich influence device performance, working with testinfrastructure, hardware and software debugging, presentationskills, or some familiarity with data analysis that would be greattoo! ## In return In return at Arm, you will enjoy working in ahighly stimulating environment. We work closely with othersoftware, hardware and system teams across the company. You willhave a chance to share ideas with and learn new skills from thebest engineers in the world. We work in small teams, so yourcontributions will really make a difference. #LI-JB1 ##Accommodations at ArmAt Arm, we want our people toDo GreatThings. If you need support or an accommodation toBe YourBrilliant Selfduring the recruitment process, please email. To note,by sending us the requested information, you consent to its use byArm to arrange for appropriate accommodations. All accommodationrequests will be treated with confidentiality, and informationconcerning these requests will only be disclosed as necessary toprovide the accommodation. Although this is not an exhaustive list,examples of support include breaks between interviews, havingdocuments read aloud or office accessibility. Please email us aboutanything we can do to accommodate you during the recruitmentprocess. ##Hybrid Working at ArmArm’s approach to hybridworking is designed to create a working environment that supportsboth high performance and personal wellbeing. We believe inbringing people together face to face to enable us to work at pace,whilst recognizing the value of flexibility. Within that framework,we empower groupsteams to determine their own hybrid workingpatterns, depending on the work and the team’s needs. Details ofwhat this means for each role will be shared upon application. Insome cases, the flexibility we can offer is limited by local legal,regulatory, tax, or other considerations, and where this is thecase, we will collaborate with you to find the best solution.Please talk to us to find out more about what this could look likefor you. ##Equal Opportunities at ArmArm is an equalopportunity employer, committed to providing an environment ofmutual respect where equal opportunities are available to allapplicants and colleagues. We are a diverse organization ofdedicated and innovative individuals, and don’t discriminate on thebasis of race, color, religion, sex, sexual orientation, genderidentity, national origin, disability, or status as a protectedveteran.

National AI Awards 2025

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 Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.