ML Systems Engineer - AI Innovation at Arm (Apply in minutes)

ARM
Farnham
2 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer, Recommendations (Basé à London)

Principal Engineer, Ring Emerging Product Team

Computer Vision Development Engineer

Staff Machine Learning Engineer - Content and Catalog Management (Basé à London)

Director of Security Engineering

Senior Natrual Language Processing Developer

Arms Machine Learning (ML) Group is seeking a highly motivated and creative

Increase your chances of an interview by reading the following overview of this role before making an application.
Software Engineer to join a team of brilliant engineers located in Cambridge,
UK who specialise in ML software.

This role presents an opportunity to chip in to advance ML technology. You
will help to build the software that enables development of deep learning
applications that form the basis of many ground-breaking technologies like
self-driving cars, generative AI engines and ML-powered wearables.

## Job Description:

Arm Machine Learning (ML) group is looking for a software engineer who would
build a range of innovative software solutions for a variety of markets.

You will apply your experience and insight within this domain to craft and
optimise tools for machine learning networks that target Arm’s CPUs, GPUs and
NPUs.

If you are interested in this opportunity, make sure to apply soon! We look
forward to receiving your application and welcoming you to Arm. You could be
joining our highly motivated team and have a marked impact on both strategy
and implementation!

##Responsibilities:

* Contribute to deliver production-grade software and push the boundaries of Machine Learning tooling
* Build, extend and collaborate on innovative ML open source software projects, such as PyTorch
* Work with other groups in Arm to expand support for Arm architecture and ecosystem

##Required skills and experience:

* Master’s degree in Machine Learning, Electrical Engineering, Engineering Physics, Computer Science, or related field
* Proven experience with C++ and Python
* Experience with or interest in compilers
* Desire to learn new skills and technologies
* Driven and self-reliant mentality
* Good interpersonal and communication skills.

##Nice to have skills and experience:

* Experience with contributing to open-source projects and working with a broader open-source community
* Knowledge or curiosity about computer vision, machine learning, their applications and frameworks
* Experience with Linux and scripting languages, such as shell-scripting

##In Return:

Joining our team at Arm Cambridge, UK means becoming part of a collaborative
environment filled with diverse and skilled professionals. You will have the
chance to work on sector-leading products alongside some of the worlds top
companies. We value the individual contributions of our team members, and in
our small team setup, your work will have a significant impact. Furthermore,
this role is a unique opportunity for professional growth in the dynamic and
cutting-edge field of ML and AI. Gain a competitive salary, alongside
unparalleled learning and networking opportunities from the best in industry.

#LI-JB1

##Accommodations at Arm

At Arm, we want our people toDo Great Things. If you need support or an
accommodation toBe Your Brilliant Selfduring 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
groupsteams 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.

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.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.