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

Apply Now

Machine Learning - Software Project Manager

Cambridge
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (LLMs & AI Agents)

Machine Learning Operations Engineer

Machine Learning Operations Lead

Machine Learning Engineer

Machine Learning Quant Engineer - Investment banking

Machine Learning Operations Engineer

Job Overview:

Join the Central Engineering Machine Learning team as a Project Manager where you will lead delivery of software projects that help our partners’ build energy efficient Arm powered products. We work with new technology, developing software which runs on many millions of Arm devices across different use-cases. This is an amazing opportunity to work with outstanding engineering teams in a fast-paced high-tech environment, and be part of a capable, diverse, supportive and inclusive team.

To be considered for this role, you will have a solid track record in software delivery management and experience in leading software projects using iterative / agile development methods. This could be in project management, but also as a Scrum Master, Product Owner, or Release Manager. Excellent interpersonal skills are a requirement, as is displaying confident leadership and a dedication to engage the team and drive your projects through to success.

Responsibilities:

You will:

Own and drive planning, scheduling, tracking, monitoring and reporting for your projects.

Motivate and drive teams to deliver to commitments.

Ensure project governance, and proactively drive project risks, change and dependencies to conclusion.

Have strong organisational skills, a can-do approach and be a collaborative member of the team.

Work closely with adjacent functional groups such as Engineering, Product Management, Legal and Operations.

Intentionally engage to develop and improve our processes and practices.

Required Skills and Experience :

Leading project delivery, preferably software projects in an Agile or iterative environment.

Strong communication and networking skills to be able to influence and collaborate with engineering teams, peers, senior management, and Arm partners.

A positive, can-do behaviour which is adaptive to change, resilient and eager to accept new challenges within a fast-paced high-tech environment.

Experience working with geographically distributed engineering teams.

Proficient in the application of standard Microsoft Office tools.

“Nice To Have” Skills and Experience :

Familiarity with the Software Development Lifecycle, and of Project and Product Lifecycles.

Exposure to Open-Source Software

Awareness of Machine Learning concepts

Usage of supporting tools commonly used in Arm project management e.g., Jira, Confluence, MS Project.

In Return:

You will have the opportunity to learn about the latest Arm architecture features, working closely with highly skilled engineering teams on ground-breaking technology. You will be empowered to continually identify and roll out improvements to our ways of working; while being supported by a diverse team of project and program managers.

 

#LI-JB1

 

Accommodations at Arm

At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during 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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.