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

Apply Now

Senior Software Engineer - Machine Learning Tools -Cutting-edge Arm architecture integration (Apply in minutes) (Only24h Left)

ARM
Cambridge
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer, Machine Learning

Senior Data Engineer (AI & MLOps, AWS, Python)

Senior AI Engineer - Generative AI and Search - Artificial Intelligence

Senior AI Engineer - Generative AI and Search - Artificial Intelligence

Senior Machine Learning Engineer London, United Kingdom

Senior Computer Vision Engineer - Robotics

The world’s software is built on Arm technology, andas such it is essential that we meet developers where they work –ensuring that the best developer experiences are on Arm platformsand that the full power of Arm’s technology is easily available forthose developers to consume. ##Job Overview:In the DeveloperPlatforms group at Arm, our mission is to make software developmenton the Arm architecture simple and intuitive. We are growing ourteam and are looking for a passionate software engineer to help usbuild streamlined machine learning experiences for developers. Ourteam solves a diverse set of developer challenges, delivering toolsthat support application distribution, toolchain setup andconfiguration, profiling and debug, and visualisation. This is aunique opportunity to work on many different technologies in agroup delivering tools across multiple platforms including desktopand browser. ##Responsibilities:* Work as part of a diverseteam to design, deliver and refine the tools and experiencesrequired to support development on Arm processors * Work alongsidepeers and junior team members to solve technical problems,mentoring as necessary * Form effective relationships with otherengineers, product managers and UX specialists to enablecollaboration and best understand and empower our users. * Engagewith our agile planning and development processes to help shapedelivery of our products * Demonstrate quality through unit testingand continuous integration ## **Required Skills and Experience :**We are seeking an experienced engineer with the following skills: *Proven experience working with machine learning models and anunderstanding of their architecture, optimisation techniques,deployment and librariesruntimes * Familiarity with the basics ofmodern, effective software development: source control, automatedtesting, object-oriented or functional paradigms and the Agilemethodology. * A get things done attitude to shipping high-quality,robust software which is maintainable and responsive to evolvingrequirements. * A passion to push forward the state of the art indeveloper tooling by embracing new technologies and continuousinnovation ##“Nice To Have” Skills and Experience :Anyexperience with the technologies listed below is beneficial,however, a desire to learn is far more valuable than experience inany tool, and we actively support ongoing training. * Experienceworking with an existing machine learning library codebase (e.g.PyTorch) * Strong Python or TypeScript skills, specifically arounduser interfaces * Continuous integration and delivery workflowsincluding source control management, build systems, testing anddeployment * Experience with Agile & UX design principles andprocesses ##In Return:You will join an established andexperienced team working with innovative technologies in an agileenvironment which requires proactivity, dynamic approaches toproblem solving and creative thinking. You will work on greenfieldsoftware products which ship with new Arm hardware on day one.Please provide a covering letter on application. #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.

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.

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.