Ai/ml engineer Work, Jobs in Cottenham, Cam (with Salaries)

Senior Systems Research Engineer - Research Engineering - MSR Cambridge
Microsoft —Cambridge
- £74,700 - £122,600 a year
- Full-time
- Doctoral degree
- Computer Science
- English
1d
Software Engineer (Machine Learning)
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Computer Science
- English
- Analysis skills
9d
Staff Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Linux
- Python
- Annual leave
10d
Senior Human-Centric AI Engineer
Cambridge Consultants —Cambridge
- Doctoral degree
- Computer Science
- IT
C++ AI/ML Software Engineer
HP —Cambridge
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Senior Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Linux
- Python
- Annual leave
10d
Cambridge Residency Programme: AI Researcher in Interactive Generative AI systems
Microsoft —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
4d
Applied Scientist, Edge AI and Science
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Data Engineer
Hexcel Corporation —Duxford
- Full-time
- Azure
- Computer Science
- Engineering
Senior AI & Compute Systems Engineer, Workforce Development
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- Computer Science
- Linux
- AI
Principal Applied Platform & Systems Engineer, Workforce Development
Arm —Cambridge
- £126,200 - £170,800 a year
- Hybrid work
- Computer Science
- Linux
- AI
Applied Scientist, Silicon and Systems Group Edge AI
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
8d
Sr Staff AI Software Development Engineer
Renesas Electronics —Cambridge
- Full-time
- Hybrid work
- Azure
- Management
- Doctoral degree
- Annual leave
- Life insurance
Quick apply
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
4d
Senior Software Engineer (ML QA)
Graphcore —Cambridge
- C++
- APIs
- Linux
- Annual leave
10d
Efficiency Engineer
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Data analysis skills
- AI
- Python
Technical Ecosystem Engineer
Arm —Cambridge
- £77,500 - £99,500 a year
- Hybrid work
- AI
Senior MLOps Engineer
Abcam —Cambridge
- Full-time
- In-person
- Annual leave
2d
Senior Software Engineer, Foundry
Redgate —Cambridge
- £55,000 - £80,000 a year
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- APIs
- Annual leave
6d
AI Infrastructure Engineer (Storage)
CommonAI C.I.C. —Cambridge
- Full-time
- Azure
- AWS
- Analysis skills
Quick apply

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Senior Systems Research Engineer - Research Engineering - MSR Cambridge

Microsoft -
Cambridge

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Job details

Full-time
£74,700 - £122,600 a year
1 day ago

Qualifications

Performance tuning
Operating systems
Doctoral degree
Computer Science
English
Master's degree
Machine learning
Distributed systems
Software development
Communication skills
Python

Full job description

Overview

We are seeking a Systems Research Engineer to accelerate our Future AI Infrastructure research area. You will bring key skills and experience in operating systems, performance, distributed systems, CPUs, GPUs, and machine learning. Good systems research happens when you build things to uncover hidden assumptions – your implementation skills are at the heart of this. You will collaborate closely with researchers to identify, design and implement proof of concept solutions to some of the hardest future problems of AI infrastructure. You will partner with product teams to help land our research in a meaningful way, accelerating delivery of our lab’s research into shipping products used by millions of people world-wide.

This role is within the Research Engineering team at MSR Cambridge. Our team has broad experience spanning front-end, systems, networking and ML engineering at datacentre scale. We work across all the research areas in MSR Cambridge, deeply embedded in research projects.

Responsibilities

Combine strengths in computer systems research, and software engineering competence to contribute to the design and prioritisation of research activities.

Build prototypes of future AI systems to demonstrate research value, in some cases bringing these prototypes all the way to product-level readiness. You like getting things done.

Evaluate research prototypes and help write up results to communicate outcomes clearly.

Collaborate with researchers and product teams, helping with smooth technology transfer between them.

Reinforce a positive environment by applying best practices and high-quality engineering standards.

Gain deep expertise in one (or more) subareas of research, and general understanding of a broad area. Understand the relevant literature and applicable research techniques.

Contribute to academic publication of research outcomes.

Proactively ensure high standards of software security over research prototypes and library supply chains.

Understand and follow ethics and privacy policies relating to research processes and data handling, as appropriate.

Qualifications

Required

Masters degree in Computer Science or related area, or equivalent training and experience in research.

Proficient in collaborative software development in Python and lower-level languages.

Experience with one or more of operating systems, performance analysis, distributed systems, CPU and GPU architecture, or machine learning systems.

Experience of low-level systems and/or performance tuning trade-offs.

Excellent communication skills in English, both written and spoken, including the skill to communicate technical results and justify assumptions to diverse technical audiences.

Willingness and flexibility to operate in a highly agile and dynamic environment.

Demonstrated ability to work within large codebases.

Preferred

Doctorate (PhD) in Computer Science or related area, or equivalent training and experience in research.

Experience of cluster-based distributed data processing techniques

Experience with the internals of machine learning systems.

Demonstrated experience working within a multi-disciplinary team.

Research Sciences IC4 - The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.

Apply Now

Refine Your Search

ai/ml engineer jobs in cottenham, cam

Senior Systems Research Engineer - Research Engineering - MSR Cambridge

Software Engineer (Machine Learning)

Staff Engineer (ML Engineer)

Senior Human-Centric AI Engineer

C++ AI/ML Software Engineer

Senior Engineer (ML Engineer)

Cambridge Residency Programme: AI Researcher in Interactive Generative AI systems

Applied Scientist, Edge AI and Science

Data Engineer

Senior AI & Compute Systems Engineer, Workforce Development

Principal Applied Platform & Systems Engineer, Workforce Development

Applied Scientist, Silicon and Systems Group Edge AI

Sr Staff AI Software Development Engineer

Senior Machine Learning Scientist

Senior Software Engineer (ML QA)

Efficiency Engineer

Technical Ecosystem Engineer

Senior MLOps Engineer

Senior Software Engineer, Foundry

AI Infrastructure Engineer (Storage)

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