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

Apply Now

Senior AI Performance Specialist (1 year relevant experiencerequired)

ARM
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer – Text-to-Speech

Senior Data Scientist - Fixed Term Contract

Senior Machine Learning Engineer

Senior Data Scientist

Senior Data Scientist

Artificial Intelligence Test Engineer

Job DescriptionArms Machine Learning group ishiring in western Europe! Want to help show developers the AIcapabilities of efficient, next-generation mobile, server andembedded devices? If so, we should talk!We are a diverse team ofhardworking problem solvers located across multiple countries andour flexible working practices enable us to collaborate efficientlyacross our different regions. We provide analysis, insights,collateral and that we share with our developers, seniorstakeholders and the wider ecosystem to make running AI best onArm.**Responsibilities:**We use our interpersonal andcommunications skills in direct contact with outstanding companiesacross multiple technology domains - we forge new paths and assistdevelopers the world over to follow in our footsteps, helping themto bring their visions to bear. This is an excellent opportunity tocontribute to the solutions powering the next generation of mobileapplications, portable devices and home automation.We look forwardto receiving your application - and potentially welcoming you toArm.**Required skills and experience:**● Good programming skills -preferably Python, C++ and OOP ● Experience of machine learningframeworks such as TensorFlow, ONNX, GGML or PyTorch ● Experienceof breaking down machine learning use-cases in a system context andproviding insights. ● A desire to have a positive impact bothwithin our team and the wider Arm ecosystem ● Experience ofprototyping AI use-cases on a variety of hardware platforms **Niceto have abilities and knowledge:**● Programming mobile GPUs (e.g.using shaders, Vulkan) would be a valuable differentiator ●Experience of profiling system concepts such as bandwidth, power,area, latency and throughput ● Android application developmentusing Android StudioIn Return:In return, the successfulcandidate will get to engage with thought-leaders, key developersand the biggest players on how best to deploy Machine Learningworkloads on Arm processors. Youll have the chance to interact witha wide range of engineers from prospective Arm customers through tomembers of the Arm ecosystem. Write your Job Description here orsearch the Document library (Everyones) for similar roles to beused as a base. We are trying to display the essence of the job, bydescribing goals, responsibilities, objectives, and contributionsas shown in below topics rather than a long list of tasks andactivities. This is another opportunity to distinguish your rolefrom competitors and help them visualize what the day-to-day wouldlook like.#LI-JB1Accommodations at ArmAt Arm, we want ourpeople to Do Great Things. If you need support or an accommodationto Be Your Brilliant Self during the recruitment process, pleaseemail . To note, by sending us the requestedinformation, you consent to its use by Arm to arrange forappropriate accommodations. All accommodation requests will betreated with confidentiality, and information concerning theserequests will only be disclosed as necessary to provide theaccommodation. Although this is not an exhaustive list, examples ofsupport include breaks between interviews, having documents readaloud or office accessibility. Please email us about anything wecan do to accommodate you during the recruitment process.HybridWorking at ArmArm’s approach to hybrid working is designed tocreate a working environment that supports both high performanceand personal wellbeing. We believe in bringing people together faceto face to enable us to work at pace, whilst recognizing the valueof flexibility. Within that framework, we empower groupsteams todetermine their own hybrid working patterns, depending on the workand the team’s needs. Details of what this means for each role willbe shared upon application. In some cases, the flexibility we canoffer is limited by local legal, regulatory, tax, or otherconsiderations, and where this is the case, we will collaboratewith you to find the best solution. Please talk to us to find outmore about what this could look like for you.Equal Opportunitiesat ArmArm is an equal opportunity employer, committed toproviding 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.

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.