Senior / Staff Machine Learning Engineer

Arm Limited
Cambridge
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist (MLOps)

Senior Data Scientist

Principal Data Scientist – Operational Research, Simulation & ML (Basé à Hounslow)

Geoenvironmental Engineer

Senior Geo-Environmental Engineer

Senior Management Accountant

Arm is building the future of computing. From fueling the smartphone revolution to powering the world's fastest supercomputer, our technology is everywhere - including the biggest tech companies in the world and the next generation of innovators.

Arm is at the epicenter of the world's largest computing ecosystem, positioned to power every technology revolution going forward by redefining the ways people live, work, play, and learn with sustainable and far-reaching positive impact.

Brilliant people join Arm to solve the world's most complex technology problems. Building the future starts with a remarkable team who believe in humanity's incredible untapped potential that technology, built on Arm, can realize.

Our ambitious global team of over 6000 pioneers unites hardware engineers, software engineers, data analysts, and more – all driven by a once-in-a-generation desire to unleash creativity and change the world.

Job Openings

  • Principal Methodology Engineer:You will lead efforts to eliminate manual translations of specifications, enabling shift-left methodologies, reducing engineering waste, and accelerating time-to-market. Location: Sheffield, United Kingdom, Cambridge, United Kingdom.
  • Sr. Manager, Cloud Go-to-Market:Drive GTM strategies for Arm-based cloud platforms, engaging with partners, advocating at events, and leading ecosystem programs. Location: San Jose, California.
  • Cyber Security Intern:As a functional safety / Cyber Security Intern, you have an outstanding opportunity to work on groundbreaking technology within Central Technology at Arm. Location: Cambridge, United Kingdom.

Our Global Ecosystem

With offices around the world, Arm is a global ecosystem of true diversity, innovation, and collaboration. Each of our offices provides unique opportunities, but whether you work in San Jose or Manchester, our core beliefs bring everyone together under one consistent culture.

Life at Arm

Culture at Arm emphasizes collaboration alongside individual accountability in a supportive environment working together for the success of Arm.

Diversity, Equity & Inclusion

At Arm, we're committed to inspiring revolutionary ideas in a diverse, equitable, and inclusive environment. Be your most brilliant self, and empower others through various avenues for active participation.

Benefits Designed for You

When our employees thrive, so does Arm. We offer remarkable benefits designed to nurture the professional and personal growth of the brilliant people building the future of computing.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.