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

Senior Machine Learning Engineer
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Annual leave
- Life insurance
Quick apply
6d
Technical Lead
SpeedyBooker —Bury St. Edmunds
- £75,000 - £100,000 a year
- Full-time
- Hybrid work
- Mentoring
- Agile
- AI
- Free parking
- Paid training
Quick apply
13d
Site Reliability Engineer
Anglian Water Services Ltd —Huntingdon
- £43,000 a year
- Full-time
- Azure
- DevOps
- AWS
- Annual leave
- Employee assistance programme
Software Engineer (Machine Learning)
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Computer Science
- English
- Analysis skills
Principal Machine Learning Engineer
Speechmatics —Cambridge
- Hybrid work
- Machine learning
- Python
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
13d
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
Machine Learning Research Engineer, Camera Software
Apple —Cambridge
- Doctoral degree
- Computer Science
- Research
4d
IT solutions Engineer
Arm —Cambridge
- £52,400 - £71,000 a year
- Hybrid work
- APIs
- AI
Senior Scientist – Peptide discovery, Biologics Engineering
AstraZeneca —Cambridge
- Doctoral degree
- Master's degree
- Bachelor's degree
1d
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
Senior Machine Learning Scientist
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Communication skills
- Annual leave
- Life insurance
Quick apply
6d
Senior Technical Staff Engineer - Architect (SoC)
Microchip Technology —Cambridge
- Full-time
- Computer Science
- Engineering
- Master's degree
Computational Scientist (AI & Biology)
Ensocell —Cambridge
- Full-time
- Doctoral degree
- Machine learning
- AI
- Annual leave
- Employee assistance programme
Quick apply
1d
Machine Learning & AI Materials Scientist
BIOVIA —Cambridge
- Hybrid work
- Doctoral degree
- English
- Master's degree
- Flexible schedule
Cloud Infrastructure Engineer
CELA REMIT LIMITED —Harlow
- £36,610 - £52,300 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
- Free parking
- Health & wellbeing programme
Quick apply
Design Engineer - Aviation / Building Services
Gallifordtry —Stansted
- Full-time
- AI
- Communication skills
- Employee assistance programme
- Employee discount
Software Engineer - Java
Worldpay (UK) Limited —Cambridge
- Azure
- Oracle
- Java
Quick apply
Energy Engineer
CBRE —Stevenage
- Full-time
- AI
Staff Engineer (ML Engineer)
Graphcore —Cambridge
- Machine learning
- Linux
- Python
- Annual leave

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machine learning engineer jobs near pampisford, cam

Senior Machine Learning Engineer

Qureight Ltd
Cambridge

Quick apply

Job details

Full-time
6 days ago

Benefits

Annual leave
Company pension
Private medical insurance
Enhanced maternity leave
Life insurance

Qualifications

Cloud infrastructure
PyTorch
Computer vision
Software development operations experience
Docker
CI/CD pipelines
Machine learning
Terraform
Continuous integration
DevOps implementation
Communication skills
Infrastructure provisioning automation
Terraform provisioning

Full job description

About us

Qureight’s mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster.

We’re looking for talented people who want their work to matter. With offices in Cambridge and London, you’ll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials.

About the role

As Qureight scales its AI-driven imaging platform and expands its work with pharmaceutical and clinical partners, we are building the machine learning engineering capability required to train, optimise and deploy large-scale 3D medical-imaging models reliably.

We are looking for a Machine Learning Engineer to focus on the development, training, optimisation and inference of state-of-the-art computer vision models applied to volumetric CT data. The role focuses on ensuring that models can be trained efficiently, deployed securely, and operate at scale.

This role sits within the Machine Learning function and works closely with ML Scientists, DevOps, Data Engineering and Software Engineering teams to turn research models into robust, scalable and reproducible training and inference workflows.

What you will do

Develop robust, scalable and reproducible inference pipelines.
Deploy models into production using ONNX, TensorRT or similar frameworks.
Build and optimise scalable machine learning training workflows.
Optimise data loading, logging, checkpointing and resource utilisation for large-scale model training.
Act as a bridge between research and production, translating research into reliable, maintainable and scalable engineering components.
Support cloud-based ML infrastructure such as MLFlow.
Create and maintain CI pipelines for model training, testing and deployment workflows.
Collaborate with DevOps and infrastructure teams on deployment patterns and infrastructure as code.
Improve reproducibility, traceability and quality across ML engineering workflows.
Identify risks, communicate trade-offs and proactively improve tooling and processes.

Requirements

Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases.
Experience building, optimising and maintaining ML training and inference pipelines.
Experience with Docker and containerised ML workflows.
Experience with model deployment and optimisation frameworks such as ONNX, TensorRT or similar tools.
Experience with GPU-based training, model serving and compute optimisation.
Experience building and maintaining CI pipelines.
Experience with cloud environments.
Strong knowledge of Linux shells, git and modern Python development tools such as uv, poetry, ruff, black, mypy or ty.
Experience with modern development workflows, including pull requests, code review, documentation and ticketing.
Strong communication skills and ability to work across ML Science, DevOps, Data Engineering and Software Engineering teams.

Even better if you have

Experience working with 3D medical imaging, CT data, DICOM, NIfTI or NRRD formats.
Experience deploying models in regulated, clinical, pharmaceutical or healthcare environments.
Experience with infrastructure as code, such as Terraform.
Experience with multi-stage Docker containers and secure software supply-chain practices.
Experience with distributed training, large-scale data loading or high-performance computing environments.
Experience supporting research-to-production ML workflows.
Experience with monitoring, observability, model versioning or MLflow-like tooling.

Benefits

A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme
25 days annual leave, plus bank holidays and enhanced maternity leave
A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations.

How to apply

Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role.

We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. We advertised this role on 30th July 2026.

If you have any queries, please contact [email protected]

Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity.

Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply – you may be a great fit, even if you don’t meet every qualification. We’d love to hear from you.

If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.

Quick apply

Refine Your Search

machine learning engineer jobs in pampisford, cam

Senior Machine Learning Engineer

Technical Lead

Site Reliability Engineer

Software Engineer (Machine Learning)

Principal Machine Learning Engineer

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

Senior Machine Learning Research Engineer - Research Engineering - MSR Cambridge

Machine Learning Research Engineer, Camera Software

IT solutions Engineer

Senior Scientist – Peptide discovery, Biologics Engineering

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Senior Technical Staff Engineer - Architect (SoC)

Computational Scientist (AI & Biology)

Machine Learning & AI Materials Scientist

Cloud Infrastructure Engineer

Design Engineer - Aviation / Building Services

Software Engineer - Java

Energy Engineer

Staff Engineer (ML Engineer)

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