Machine learning engineer Work, Jobs in Cambridge Cb4 (with Salaries)

Software Engineer (Machine Learning)
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Computer Science
- English
- Analysis skills
Performance Analysis Engineer
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Computer Science
- C++
- Bachelor's degree
Machine Learning Senior Software Engineer
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- English
- C++
- Machine learning
Bioprocess Engineer (full stack)
Change Bio —Cambridge
- £50,000 - £55,000 a year
- Full-time
- CAD
- Engineering
- Machine learning
- Employee stock ownership plan
- Flexible schedule
Quick apply
5h
Machine Learning & AI Materials Scientist
BIOVIA —Cambridge
- Hybrid work
- Doctoral degree
- English
- Master's degree
- Flexible schedule
5d
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
Software Engineer
Thermoteknix Systems Limited —Waterbeach
- Full-time
- C++
- Bachelor's degree
- Software development
Intelligence Manager
Cambridge University Press & Assessment —Cambridge
- £35,200 - £45,700 a year
- Hybrid work
- English
- AI
- Annual leave
4d
Software Development Team Lead
Royal Society of Chemistry —Cambridge
- £63,000 a year
- Full-time
- Hybrid work
- Management
- DevOps
- AWS
- Work from home
12d
AI Quality Analyst
Aykua Health —Cambridge
- £30,000 - £40,000 a year
- Full-time
- Hybrid work
- Laboratory experience
- Analysis skills
- Bachelor's degree
- Employee stock ownership plan
Quick apply
4d
Health and Safety Lead
Anglian Water Services Ltd —Huntingdon
- £70,000 a year
- Full-time
- Hybrid work
- AWS
- Leadership
- Communication skills
- Annual leave
Front-end Web Developer
Aveva —Cambridge
- Full-time
- Hybrid work
- Azure
- JavaScript
- Agile
- Annual leave
Windows UI Endpoint Developer
HP —Cambridge
- Full-time
- Azure
- C++
- AI
Staff Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Linux
- Python
- Annual leave
R&D Software Engineer
Aveva —Cambridge
- Full-time
- Hybrid work
- Azure
- DevOps
- Windows
- Annual leave
4h
Senior Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Linux
- Python
- Annual leave
Software Engineer - Java
Worldpay (UK) Limited —Cambridge
- Azure
- Oracle
- Java
Quick apply
Digital Learning and Innovation Manager
Cambridge Regional College —Huntingdon
- £45,000 - £47,000 a year
- Full-time
- Analysis skills
- Organisational skills
- AI
- Employee assistance programme
- Employee discount
3d
AI Engineer (Advisory)
WSP —Cambridge
- Part-time
- Hybrid work
- Azure
- Machine learning
- AI
- Flexitime
- Work from home
12d
Full Stack Engineer
Cambridge Applied Research —Cambridge
- £40,000 - £60,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Quick apply
11d

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Software Engineer (Machine Learning)

Arm -
Cambridge

Apply Now

Job details

£55,300 - £74,800 a year

Qualifications

Computer Science
FPGA
English
Analysis skills
Bachelor's degree
Machine learning
Scripting
Linux
AI
Python
Shell Scripting

Full job description

Job ID 2026-17539

Date posted Jun. 26, 2026

Location Cambridge, United Kingdom

Category Software Engineering

Arm's Machine Learning group in Cambridge is hiring! Would you like to help analyse and improve the latest Machine Learning or Artificial Intelligence solutions on Arm hardware and software?

Successful candidates will be working on groundbreaking Arm platforms and aiding the development of technology that will power the next generation of mobile apps, portable devices, home automation, smart cities, self-driving cars, and much more.

About the role

We are a small and diverse team of hardworking system & performance analysts. We work with teams across Arm to understand and guide both internally to Arm Engineering and externally out to Arm partners.

At Arm, you will work with the world’s best companies as they build sector-leading products from our designs. You’ll share ideas with and learn new skills from the best engineers in the world. This role offers you the opportunity to make a difference with your contributions, lead, challenge the status quo and ultimately change the world of machine learning and artificial intelligence.

We are looking for a software engineer with a strong analytical approach to join the team and help ensure the best performance with most recent Arm ML software, systems and IP.

How will I contribute?

You will run & analyse ML/AI performance on next-generation Arm IP, and feed-back into the software and hardware development teams.
You will produce technical summaries for a range of audiences, based on detailed analysis and interpretation of data.
You will learn about this new frontier and share this knowledge with others across the company.

Education & Qualifications

University degree (or equivalent) in Computer Science, Electronic Engineering or a related field.

Skills & Experience

Demonstrable experience in pre-silicon or post-silicon performance analysis.
Hands-on experience running workloads on Linux or Android based devices, development boards, or pre/post-silicon environments.
Experience using or developing automation harnesses for repeatable workload execution, data collection, profiling, and analysis.
Strong scripting and data-analysis skills, for example Python, shell scripting, or similar tools.
Experience with profiling tools, performance counters, system traces or telemetry (differentiating).
Experience with working on pre-silicon platforms such as FPGA (differentiating).
Knowledge about ML/AI workloads can be a benefit, but can be learned on-the-job.

Interpersonal Skills

Passion for analysis and improvement.
Capable of working both in teams and independently.
High degree of initiative and a confident problem solver.
Fluent in English language, both written and spoken.
Good communicator, personable and able to work and communicate at a detailed or high level.

Are you excited by this challenge? Do you have the proficiency and skills to forge new technology in a pioneering domain? If so, come talk to us, we'd love to hear from you.

If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated with the individual’s application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate.

#LI-CM1

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment 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.

Salary Range:

£55,300

£74,800

per year

Apply Now

Refine Your Search

machine learning engineer jobs in cambridge cb4

Software Engineer (Machine Learning)

Performance Analysis Engineer

Machine Learning Senior Software Engineer

Bioprocess Engineer (full stack)

Machine Learning & AI Materials Scientist

Senior Machine Learning Scientist

Software Engineer

Intelligence Manager

Software Development Team Lead

AI Quality Analyst

Health and Safety Lead

Front-end Web Developer

Windows UI Endpoint Developer

Staff Engineer (ML Engineer)

R&D Software Engineer

Senior Engineer (ML Engineer)

Software Engineer - Java

Digital Learning and Innovation Manager

AI Engineer (Advisory)

Full Stack Engineer

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