Data scientist Work, Jobs in Cambridge (with Salaries)

Software Engineer (Machine Learning)
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Computer Science
- English
- Analysis skills
Applied Scientist, Edge AI and Science
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Applied Scientist, Silicon and Systems Group Edge AI
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Senior Applied Scientist (Computer Vision), Camera and Sensors
Evi Technologies Limited —Cambridge
- Full-time
- Java
- Master's degree
- C++
Machine Learning & AI Materials Scientist
BIOVIA —Cambridge
- Hybrid work
- Doctoral degree
- English
- Master's degree
- Flexible schedule
5d
Applied Scientist - LLM, Alexa
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
Sr. Applied Scientist, Alexa International
Amazon UK Services Ltd. —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Staff Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Linux
- Python
- Annual leave
Senior Machine Learning Research Engineer - Research Engineering - MSR Cambridge
Microsoft —Cambridge
- £74,700 - £122,600 a year
- Full-time
- Doctoral degree
- Computer Science
- Data analysis skills
Senior Director of AI and Data Strategy
Abcam —Cambridge
- Full-time
- Sales
- Engineering
- Bachelor's degree
Machine Learning Senior Software Engineer
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- English
- C++
- Machine learning
Senior Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Linux
- Python
- Annual leave
Artificial Intelligence, Lakenheath, The Undergraduate School - Adjunct Faculty
University of Maryland Global Campus —Lakenheath
- £903 - £1,215 an hour
- Part-time
- Master's degree
- AWS
- University
- Life insurance
Lead Engineer - AI Agents
M-KOPA —Cambridge
- Full-time
- Remote
- AI
- Leadership
4d
Senior AI & Compute Systems Engineer, Workforce Development
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- Computer Science
- Linux
- AI

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Performance Analysis Engineer
Arm —Cambridge
University degree (or equivalent experience) in Computer Science, Engineering, or related scientific subject. Position is based in Cambridge, UK.
£55,300 - £74,800 a year

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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

data scientist jobs in cambridge

Software Engineer (Machine Learning)

Applied Scientist, Edge AI and Science

Applied Scientist, Silicon and Systems Group Edge AI

Senior Applied Scientist (Computer Vision), Camera and Sensors

Machine Learning & AI Materials Scientist

Applied Scientist - LLM, Alexa

Senior Machine Learning Scientist

Sr. Applied Scientist, Alexa International

Staff Engineer (ML Engineer)

Senior Machine Learning Research Engineer - Research Engineering - MSR Cambridge

Senior Director of AI and Data Strategy

Machine Learning Senior Software Engineer

Senior Engineer (ML Engineer)

Artificial Intelligence, Lakenheath, The Undergraduate School - Adjunct Faculty

Lead Engineer - AI Agents

Senior AI & Compute Systems Engineer, Workforce Development

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