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

Nominate & Attend

Principal ML and Graphics Algorithm Developer (1 yearrelevant experience required)

ARM
Cambridge
8 months ago
Applications closed

Related Jobs

View all jobs

Principal MLOps Engineer - Chase UK

Principal Machine Learning Engineer

Associate Principal AI Data Scientist

Head of Engineering

Chief Data Scientist

Principal Data Engineer for Data Asset & Provisioning Technology

Job Overview: We are looking for experienced engineerswith a hands-on machine learning background, and good understandingof graphics and gaming, to develop new neural graphics algorithms.In Arms Central Technology group we are building trail-blazingfuture technology which will keep Arm-based products redefining thestate-of-the-art. We are looking for experienced ML Engineers whowill build a range of innovative algorithm solutions, aimed toguide architecture definition of the next-gen Arm computeplatforms. You will be working in a team of computer vision andmachine learning engineers to prototype algorithms for graphics(gaming) that pushes the state of the art. Responsibilities: ●Inventing and implementing state of the art machine learning andgraphics algorithms for gaming use cases ● Designing suchalgorithms to work reliably and efficiently on mobile devices ●Collaborating with other teams across software and hardware toensure the full pipeline runs efficiently and utilises Arm hardwareeffectively ● Presenting the algorithms and architectures you havedeveloped to wider technology and engineering teams within Arm andat external eventsconferences Required Skills and Experience: ●Strong experience working on high-performance deep learning modelsfor image processing and computer graphics ● Excellent codingskills in python and strong experience in popular ML framework(e.g. TensorFlow or PyTorch) ● Excellent problem solving andanalytical thinking skills ● Excellent communication andcollaboration skills ● Passion for deep learning, graphics, andimage processing “Nice To Have” Skills and Experience: ● Technicalleadership experience (required for Staff level) ● Understanding ofthe graphics rendering pipeline (expected for Staff level) andfamiliarity with graphics on mobile GPUs ● C++ experience andfamiliarity with Shading language ● Experience in 3D gaming,lighting and rendering is a plus ● Imagevideo quality evaluationbackground In Return: On top of the already compelling Life at Arm,we offer strong team culture, learning opportunities, regularcareer conversations, emphasis on diversity, equity and inclusionand a continuous improvement mentality. #LI-TE! Accommodations atArm: At Arm, we want our people to Do Great Things. If you needsupport or an accommodation to Be Your Brilliant Self during therecruitment 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 Arm: Arm’s approach to hybrid working isdesigned to create a working environment that supports both highperformance and personal wellbeing. We believe in bringing peopletogether face to face to enable us to work at pace, whilstrecognizing the value of flexibility. Within that framework, weempower groupsteams to determine their own hybrid working patterns,depending on the work and the team’s needs. Details of what thismeans 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 willcollaborate with you to find the best solution. Please talk to usto find out more about what this could look like for you. EqualOpportunities at Arm: Arm is an equal opportunity employer,committed to providing an environment of mutual respect where equalopportunities are available to all applicants and colleagues. Weare 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.

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.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.