Senior Software Engineer - Machine Learning Tools - Innovative cross-platform technology development (Apply in minutes)

ARM
Farnham
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer - AI & Machine Learning

Senior Software Engineer - AI & Machine Learning

Senior Software Engineer - AI & Machine Learning

Senior Software Engineer - AI & Machine Learning

Lead / Senior Software Engineer - ML/AI

Senior Data Scientist (Senior Software Engineer), BBC Verify

The world’s software is built on Arm technology, and as such it is essential

To be considered for an interview, please make sure your application is full in line with the job specs as found below.
that we meet developers where they work – ensuring that the best developer
experiences are on Arm platforms and that the full power of Arm’s technology
is easily available for those developers to consume.

##Job Overview:

In the Developer Platforms group at Arm, our mission is to make software
development on the Arm architecture simple and intuitive. We are growing our
team and are looking for a passionate software engineer to help us build
streamlined machine learning experiences for developers.

Our team solves a diverse set of developer challenges, delivering tools that
support application distribution, toolchain setup and configuration, profiling
and debug, and visualisation.

This is a unique opportunity to work on many different technologies in a group
delivering tools across multiple platforms including desktop and browser.

##Responsibilities:

* Work as part of a diverse team to design, deliver and refine the tools and experiences required to support development on Arm processors
* Work alongside peers and junior team members to solve technical problems, mentoring as necessary
* Form effective relationships with other engineers, product managers and UX specialists to enable collaboration and best understand and empower our users.
* Engage with our agile planning and development processes to help shape delivery of our products
* Demonstrate quality through unit testing and continuous integration

##Required Skills and Experience :

We are seeking an experienced engineer with the following skills:

* Proven experience working with machine learning models and an understanding of their architecture, optimisation techniques, deployment and librariesruntimes
* Familiarity with the basics of modern, effective software development: source control, automated testing, object-oriented or functional paradigms and the Agile methodology.
* A get things done attitude to shipping high-quality, robust software which is maintainable and responsive to evolving requirements.
* A passion to push forward the state of the art in developer tooling by embracing new technologies and continuous innovation

##“Nice To Have” Skills and Experience :

Any experience with the technologies listed below is beneficial, however, a
desire to learn is far more valuable than experience in any tool, and we
actively support ongoing training.

* Experience working with an existing machine learning library codebase (e.g. PyTorch)
* Strong Python or TypeScript skills, specifically around user interfaces
* Continuous integration and delivery workflows including source control management, build systems, testing and deployment
* Experience with Agile & UX design principles and processes

##In Return:

You will join an established and experienced team working with innovative
technologies in an agile environment which requires proactivity, dynamic
approaches to problem solving and creative thinking.

You will work on greenfield software products which ship with new Arm hardware
on day one.

Please provide a covering letter on application.

#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.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.