Machine learning engineer Work, Jobs in Bottisham, Cam (with Salaries)

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
Software Engineer (Machine Learning)
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Computer Science
- English
- Analysis skills
Machine Learning Engineer | Neurobiology | Dr Albert Cardona | LMB 2611
UK Research and Innovation (UKRI) —Cambridge
- £52,253 - £60,834 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
1d
Machine Learning Senior Software Engineer
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- English
- C++
- Machine learning
Site Reliability Engineer
Anglian Water Services Ltd —Huntingdon
- £43,000 a year
- Full-time
- Azure
- DevOps
- AWS
- Annual leave
- Employee assistance programme
Intelligence Manager
Cambridge University Press & Assessment —Cambridge
- £35,200 - £45,700 a year
- Hybrid work
- English
- AI
- Annual leave
8d
Principal Machine Learning Engineer
Speechmatics —Cambridge
- Hybrid work
- Machine learning
- Python
Application Scientist
Intellegens —Cambridge
- £38,000 - £48,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Machine learning
- Free parking
- Sick pay
Quick apply
1d
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
4d
Machine Learning & AI Materials Scientist
BIOVIA —Cambridge
- Hybrid work
- Doctoral degree
- English
- Master's degree
- Flexible schedule
10d
Delivery Consultant (DevOps), Professional Services, UK NatSec, WWPS
AWS EMEA SARL (UK Branch) —Cambridge
- Full-time
- Military
- DevOps
- AWS
Quality Automation Engineer- Silicon Engineering
Apple —Cambridge
- Machine learning
- APIs
- Communication skills
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
Power and Performance Engineer, PAI Platforms and Performance Analysis
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Engineering
- Analysis skills
- No degree
Software Development Team Lead
Royal Society of Chemistry —Cambridge
- £63,000 a year
- Full-time
- Hybrid work
- Management
- DevOps
- AWS
- Work from home
GPU Internship - Platform Architecture
Apple —Cambridge
- Doctoral degree
- Computer Science
- Engineering
Product Analyst - Anti-Cheating
Jagex —Cambridge
- Full-time
- SQL
- AWS
- Analysis skills
- Annual leave
- Employee assistance programme
Staff Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Linux
- Python
- Annual leave
Senior Cyber Security Engineer, Qualcomm - Cambridge, UK
Qualcomm —Cambridge
- Azure
- Computer Science
- Engineering
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
8d

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machine learning engineer jobs near bottisham, cam

Senior Machine Learning Research Engineer - Research Engineering - MSR Cambridge

Microsoft -
Cambridge

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Job details

Full-time
£74,700 - £122,600 a year

Qualifications

Performance tuning
Rust (programming language)
Doctoral degree
Computer Science
PyTorch
Data analysis skills
English
Master's degree
Analysis skills
C++
C
Machine learning
Software development
Agile
Python
Debugging

Full job description

Overview

We're seeking a hands-on ML Research Engineer to accelerate our Machine Intelligence research area. You work confidently across training, fine-tuning, inference and evaluation, at single- and multi-GPU scale, with strong data-pipeline, debugging and data-analysis skills. Working closely with researchers, you'll design, implement and validate proof-of-concept solutions to Machine Intelligence problems, then partner with product teams to land that research in 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 datacenter scale. We work across all the research areas in MSR Cambridge, deeply embedded in research projects.

Responsibilities

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

Build prototypes of ML 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 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 standard 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

Master degree in Computer science or related area, or equivalent training and experience in research.

Experience with modern ML model architectures in PyTorch.

Proficient in collaborative software development in Python.

Skills in data analysis and model evaluation.

Experience of performance tuning in ML systems.

Experience communicating 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.

Preferred

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

Demonstrated ability to work in large codebases.

Proficient in lower-level engineering skills (eg C/C++/Rust) or equivalent systems languages.

Experience of cluster-based distributed data processing techniques.

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

machine learning engineer jobs in bottisham, cam

Senior Machine Learning Research Engineer - Research Engineering - MSR Cambridge

Software Engineer (Machine Learning)

Machine Learning Engineer | Neurobiology | Dr Albert Cardona | LMB 2611

Machine Learning Senior Software Engineer

Site Reliability Engineer

Intelligence Manager

Principal Machine Learning Engineer

Application Scientist

Bioprocess Engineer (full stack)

Machine Learning & AI Materials Scientist

Delivery Consultant (DevOps), Professional Services, UK NatSec, WWPS

Quality Automation Engineer- Silicon Engineering

Senior Machine Learning Scientist

Power and Performance Engineer, PAI Platforms and Performance Analysis

Software Development Team Lead

GPU Internship - Platform Architecture

Product Analyst - Anti-Cheating

Staff Engineer (ML Engineer)

Senior Cyber Security Engineer, Qualcomm - Cambridge, UK

AI Quality Analyst

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