The Francis Crick have an exciting opportunity available for a Machine Learning Engineer???? to join one of the world’s leading research Institutes at a crucial time in its evolution, and play a definitive role in shaping it for the future. You will join us on a full time, 3 year contract, and in return, you will receive a competitive salary starting from £48,600 with benefits, subject to skills and experience.
The Francis Crick Institute is Europe’s largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions.
The Machine Learning Engineer role:
The role will be placed in the Software Engineering and AI facility and will support the MANIFEST research platform led by Prof. Samra Turajlic (Cancer Dynamics Laboratory).
The post holder would work across multiple on-going projects of the lab, including a dedicated role within the MANIFEST project (“Multiomic ANalysis of Immunotherapy Features Evidencing Success and Toxicity”), a newly formed ambitious multi-stakeholder consortium involving academic, industry and NHS partners to deliver deep multi-omic profiling for patients with cancer undergoing immunotherapy.
The post holder will work closely with the Software Engineering and AI team and Cancer Dynamics lab within the Francis Crick Institute. They will also interact closely with other laboratory staff from the MANIFEST platform, as well as with post-docs, students, scientists, technicians from the lab, and scientific partners of MANIFEST.
What you will be doing…
As a Machine Learning Engineer at the Crick, you will:
To develop machine learning based analyses approaches in accordance with the requirements of the project
Stay current with the latest thinking in the field through building a library of related publications
Develop approaches to evaluate the performance of ML models in relation to project objectives
Design and develop high-quality, optimised and maintainable pipelines and software to meet project needs
Work in close collaboration with clinical scientists, bioinformaticians and other project team members both within the Facility and MANIFEST platform to understand the full range of data and meta-data being produced for the project
Assist with creating and supporting a productive and efficient standardised model development work-flow as appropriate for the project (including versioning and automation)
Skills and experience we are looking for in our Machine Learning Engineer????:
Strong mathematical/statistical background with demonstrable experience in developing deep learning algorithms for research
Expert level technical programming skills, with emphasis on Python (NumPy, PyTorch etc) and preferably experience with R
Experience of applying deep learning techniques to omics datasets
Ability to read machine learning research articles and implement the algorithms described
Experience of working with high performance computing clusters (Bash, Slurm etc)
Good understanding of MLOps for experiment tracking, model and data versioning, hyperparameter tuning and results visualisation
Experience in database technologies: SQL, NoSQL.
What will you receive?
At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development:
28 days of holiday each year, plus three additional days (usually taken over Christmas) and bank holidays
Defined contribution pension scheme, with the Crick contributing between 3 and 16% of salary
Life assurance
Season ticket/car parking loan
Annual leave purchase
Childcare support allowance
Back-up dependent care
Discounted annual gym membership
Bike to Work scheme
Payroll giving
Shopping discounts
Closing date: 3rd April 2025
If you feel you have the skills and experience to become our Machine Learning Engineer, please click ‘apply’ today, we’d love to hear from you!
All offers of employment are subject to successful security screening and continuous eligibility to work in the United Kingdom
