Machine Learning Engineer

NHS; Greater London; On-site; GBP 67,000 - 79,000; Full time

Job summary

An established industry player is seeking a Machine Learning Engineer to join their innovative AI Imaging Hub. This role offers the opportunity to work closely with leading experts in cancer research, applying cutting-edge machine learning techniques to real-world clinical challenges. You will be at the forefront of developing AI algorithms that assist clinicians in managing cancer treatment and contribute to groundbreaking therapies. With a focus on collaboration and excellence, this position promises a stimulating environment where your contributions will have a significant impact on patient care and scientific advancement. If you are passionate about using technology to improve lives, this is the role for you.

Benefits

Flexible working hours

Learning opportunities

Career development pathways

Stimulating work environment

Qualifications

• Experience applying machine learning to image analysis.
• Proficiency in Python and familiarity with other programming languages.

Responsibilities

• Evaluate algorithms for patient treatment using MLOps.
• Develop machine learning algorithms for tumor detection and analysis.
• Lead a team to deliver MLOps services.

Skills

Machine Learning

Deep Learning

Python Programming

Data Analysis

Analytical Skills

Report Writing

Education

Honours degree in a relevant field

PhD in a relevant field

Tools

Git

DVC

Job description

Job summary

Applications are invited for the role of Machine Learning Engineer - AI Imaging Hub.

This is a new position for a Machine Learning Engineer, working primarily at The Royal Marsden but in close collaboration with The Institute of Cancer Research (ICR).

The Royal Marsden, together with its academic partner the ICR, is designated as the UK's only NIHR BRC dedicated solely to cancer. This post is suitable for an engineer or scientist with a desire to apply machine and deep learning methodology to real-world clinical problems. The Machine Learning Engineer will work on a programme aimed at evaluating and developing state-of-the-art AI algorithms using a dedicated machine learning operations (MLOps) platform. Successful algorithms will be used by clinicians managing cancer treatment and by scientists developing novel therapies.

Main duties of the job

The successful post holder will be an active member supported by team members and infrastructure within the AI Imaging Hub:

• Leadership: The Hub is led by 2 co-directors and managed by a transformation lead.
• Multidisciplinary manpower: The hub hosts data scientists, informaticians, research radiographers, radiographer AI champions, radiologist AI champions, clinical trial managers and coordinators, imaging scientists, and students. We work closely with partners such as the clinical MRI research group, Integrated Pathology Unit, Biomedical Research Informatics Digital Environment (BRIDgE) teams, and Data Stewards Group.
• Data access and organisation: Our in-house expertise has created an image repository - XNAT - adopted by 7 CRUK NCITA sites. The hub maintains and expands XNAT's capabilities, which is crucial for our imaging AI and radiomics pipelines, and has helped secure funding. We have recently established an MLOps platform to evaluate AI algorithms in a clinical environment.

About us

The Royal Marsden NHS Foundation Trust is a world-leading cancer centre committed to providing the best cancer care and advancing research. Employing over 4,500 staff across various disciplines, we operate two hospitals in Chelsea and Sutton, Surrey, and a Medical Daycare Unit in Kingston Hospital.

We value life and strive for excellence in everything we do. Our dedicated team offers a stimulating environment, staff benefits, learning opportunities, and clear career pathways. We support flexible working to promote work-life balance and seek employees who share our values and dedication to excellence.

Details

Date posted: 07 May 2025

Pay scheme: Agenda for change

Band: Band 8b

Salary: £67,950 to £78,028 per annum

Contract: Permanent

Working pattern: Full-time

Reference number: 282-CR464

Job location: Royal Marsden Hospital Sutton, Sutton, SM2 5PT

Job responsibilities

For detailed information, refer to the attached Job Description and Person Specification:

• Use MLOps to evaluate algorithms for prognostic or predictive purposes in patient treatment and response detection.
• Lead and develop a training programme on the MLOps platform for scientists, clinicians, and staff.
• Develop machine and deep learning algorithms for tumor detection, segmentation, characterization, treatment response, and prognostication using radiological images and other data.
• Build and manage a team to deliver MLOps services, including workforce planning and recruitment to grow a modern engineering and data science team.

Person Specification

Education/Qualifications (Essential):

• Honours degree or equivalent in a mathematical, engineering, scientific, or computing discipline.
• PhD or equivalent doctoral qualification in a relevant field.

Experience (Essential):

• Applying machine learning/deep learning to image analysis.
• Scientific programming in Python.
• Proficiency in another scripting or object-oriented language (R, Julia, shell scripting, C++, Java).
• Experience presenting complex information clearly.
• Publishing research in academic journals.
• Experience with git and dvc for version control and experiment tracking.

Desirable:

• Experience with survival or time-to-event analysis.
• Experience with AI software development, regulatory requirements, and commercialization routes.

Skills and Abilities

Essential:

• Strong analytical and problem-solving skills.
• Excellent data analysis skills.
• Report writing and presentation skills.
• Knowledge of MRI or other medical imaging techniques.

Desirable:

• Knowledge of basic cancer biology.

Additional Information

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975, requiring a Disclosure to check for criminal convictions.

Employer details

Employer name: The Royal Marsden NHS Foundation Trust

Address: Royal Marsden Hospital Sutton, Sutton, SM2 5PT

Website: https://www.royalmarsden.nhs.uk/working-royal-marsden