Deep learning engineer Work, Jobs in Cambridge, Eng (with Salaries)

Senior Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Annual leave
Quality Automation Engineer- Silicon Engineering
Apple —Cambridge
- Software troubleshooting
- Machine learning
- Continuous improvement
GNC Developer
Capgemini Sogeti —Stevenage
- Hybrid work
Computational Physics & Signal Processing Consultant
PA Consulting —Melbourn
- Full-time
- Doctoral degree
- Engineering
- Master's degree
- Annual leave
Technical Ecosystem Engineer
Arm —Cambridge
- £77,500 - £99,500 a year
- Hybrid work
- AI
Hardware Security Engineer - Consultant
Awerian —Cambridge
- Full-time
- Bachelor's degree
- Computer networking
- In-person
- Life insurance
Quick apply
Data Services Coordinator
GÉANT Recruitment —Cambridge
- Hybrid work
- Organisational skills
- Communication skills
Quick apply
11d
Staff Hardware AI Engineer
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Scripting
- AI
- Communication skills
13d
Senior Application Engineer - Formula 1™
MathWorks —Cambridge
- Hybrid work
- Bachelor's degree
- No degree
- Travel
AI Research Engineer
Graphcore —Cambridge
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Employee assistance programme
GNC Developer
Capgemini —Stevenage
- Hybrid work
Game Engine Programmer - RuneTek
Jagex: The RuneScape Company —Cambridge
- Full-time
- Hybrid work
- Annual leave
- Flexible schedule
Quick apply
7d
Server CPU Physical Design Integration Engineer, Staff level - Cambridge, UK
Qualcomm —Cambridge
- Doctoral degree
- Engineering
- Master's degree
- Employee stock purchase plan
- Employee assistance programme
Senior Graphic Designer - RuneFest
Jagex —Cambridge
- Organisational skills
- Annual leave
- Flexible schedule
Technical Designer - Old School RuneScape
Jagex —Cambridge
- Full-time
- Scripting
- Annual leave
- Flexible schedule
Server CPU Clock Physical Design Engineer, Staff level - Cambridge, UK
Qualcomm —Cambridge
- Doctoral degree
- Engineering
- Master's degree
- Employee stock purchase plan
- Employee assistance programme
(UK)Principal Engineer - Test
Codvo.ai —Cambridge
- Azure
- Product management
- Mentoring
Staff Product Security Engineer
Entrust —Cambridge
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
12d
OT Framework Technical Manager
Capgemini Sogeti —Cambridge
- Engineering
- Master's degree
- Leadership
Performance Engineer
CommonAI C.I.C. —Cambridge
- Full-time
- Computer Science
- Research
- Bachelor's degree
Quick apply

I want to receive the latest job alerts for deep learning engineer in cambridge, eng

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Senior Engineer (ML Engineer)

Graphcore -
Cambridge

Apply Now

Job details

Benefits

Private dental insurance
Annual leave
Discounted or free food
Company pension
Private medical insurance

Qualifications

TensorFlow
Test automation
Machine learning
Multidisciplinary collaboration
Functional quality control testing
Debugging

Full job description

About the job

Validate the ML stack that turns accelerator hardware into trusted AI performance.

This role sits where modern ML models meet Graphcore's software and hardware stack. You will test, benchmark and validate complex systems before they reach customers.

Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. You will help teams understand what is working, what is breaking and why.

You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour. That includes numerical precision, quantisation, attention mechanisms, distributed execution and model subgraphs.

This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure.

The team and culture

The ML QA team is where Graphcore's ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets.

Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but decisions are grounded in evidence, benchmark data and technical discussion.

You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for engineers to shape roadmaps and raise the quality bar.

What we're looking for

Strong experience in Machine Learning or ML-adjacent software engineering roles.
A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs.
Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools.
Strong Python skills for automation, experimentation, benchmarking and reporting.
Experience designing, running and analysing ML benchmarks or model experiments.
Confident debugging skills in Linux, with curiosity about model behaviour and system performance.

Benefits

Unlimited annual leave
Up to 5% matched pension
Phantom equity – share in Graphcore's success
True flexibility in how and where you work
Office spaces designed for collaboration
Free food and an on-site barista
Health cash plan
Income protection
Life assurance
Along with other benefits you can choose from (private medical insurance, dental plan etc)

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.

We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you.

Join the Team at Graphcore

Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

If you want to validate the systems behind next generation AI compute, we'd love to hear from you. Apply now to help build what comes next.

Apply Now

Refine Your Search

deep learning engineer jobs in cambridge, eng

Senior Engineer (ML Engineer)

Quality Automation Engineer- Silicon Engineering

GNC Developer

Computational Physics & Signal Processing Consultant

Technical Ecosystem Engineer

Hardware Security Engineer - Consultant

Data Services Coordinator

Staff Hardware AI Engineer

Senior Application Engineer - Formula 1™

AI Research Engineer

GNC Developer

Game Engine Programmer - RuneTek

Server CPU Physical Design Integration Engineer, Staff level - Cambridge, UK

Senior Graphic Designer - RuneFest

Technical Designer - Old School RuneScape

Server CPU Clock Physical Design Engineer, Staff level - Cambridge, UK

(UK)Principal Engineer - Test

Staff Product Security Engineer

OT Framework Technical Manager

Performance Engineer

I want to receive the latest job alerts for deep learning engineer in cambridge, eng

Related Searches

Explore jobs in more locations

About the job

The team and culture

What we're looking for

Benefits

Join the Team at Graphcore

Jobseeker tools

Employer Tools

Browse

Stay Connected