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- Tasks: Research and develop cutting-edge machine learning models for health-tech applications.
- Company: Innovative health-tech software company focused on improving patient outcomes.
- Benefits: Competitive salary, flexible working, and opportunities for research publication.
- Why this job: Make a real impact in healthcare by translating research into practical solutions.
- Qualifications: Strong background in computer vision and deep learning with Python and PyTorch.
- Other info: Hybrid working model with a focus on career growth and collaboration.
The predicted salary is between 60000 - 84000 £ per year.
A fantastic opportunity for a Senior Machine Learning Scientist to work for a health-tech software company developing advanced machine learning models used within clinical research. The organisation applies modern machine learning techniques to complex medical datasets to support better understanding of patient outcomes and treatment response. This is a research-focused role, ideal for candidates who enjoy developing novel deep learning approaches and translating academic research into applied machine learning solutions. You will work on large-scale models and high-performance compute, with the opportunity to publish research while collaborating with engineering teams to ensure work can be taken forward into real-world use.
Location: 1 day per week in London, remainder remote (UK based)
Salary: £70,000 – £90,000 per annum, with flexibility for the right candidate, plus benefits
Requirements for Senior Machine Learning Scientist
- Strong experience in research and development of computer vision machine learning models
- Experience implementing state-of-the-art deep learning models in PyTorch
- Experience training large models across multiple GPUs and compute nodes
- Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation
- Experience with deep learning for computer vision, ideally including 3D imaging and or self-supervised learning
- Strong Python and PyTorch skills, with the ability to read and write high-quality training code
- Experience writing and maintaining production-grade Python code, including optimising training performance
- Experience working with modern development workflows including pull requests, code reviews, documentation and ticketing
- Experience working in cloud environments
- Strong Linux and Git skills alongside modern Python development tooling
- Proactive, self-sufficient and communicative working style
- Strong English written and verbal communication skills
- MSc or PhD in Computer Science or a closely related subject
Responsibilities for Senior Machine Learning Scientist
- Research and develop advanced deep learning and computer vision models applied to complex medical data
- Work on self-supervised pre-training and supervised learning tasks such as segmentation, classification and regression
- Translate academic research into robust and usable machine learning solutions
- Publish research outcomes in leading conferences and journals
- Collaborate with engineering teams to support downstream deployment and application of models
- Keep up to date with developments in machine learning research and apply them where appropriate
What the role offers
- A genuinely research-led machine learning position
- Opportunity to publish high-quality research
- Exposure to large-scale datasets and high-performance compute environments
- Hybrid working with a remote-first setup
- Competitive salary with flexibility for exceptional candidates
Applications
If you would like to apply for this unique Machine Learning Scientist role then please send your CV via the relevant links. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing applications@redtech-recruit.com.
Senior Machine Learning Scientist employer: RedTech Recruitment
Contact Detail:
RedTech Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the health-tech and machine learning fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning and computer vision. Use platforms like GitHub to share your code and document your thought process. This gives potential employers a taste of your expertise and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning theory and coding skills. Practice common algorithms and data structures, and be ready to discuss your past projects in detail. We recommend using mock interviews to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re committed to creating an inclusive recruitment process, so if you need any adjustments, just let us know. Your dream job could be just a click away!
We think you need these skills to ace Senior Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning, especially in computer vision and deep learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Showcase Your Research: Since this is a research-focused position, include any publications or significant projects you've worked on. We love seeing how you’ve translated academic research into practical applications, so let us know what you’ve achieved!
Highlight Technical Skills: Be clear about your proficiency in Python and PyTorch, as well as your experience with large-scale models and cloud environments. We’re looking for candidates who can hit the ground running, so make those skills pop!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, if you have any questions, feel free to reach out—we're here to help!
How to prepare for a job interview at RedTech Recruitment
✨Know Your Models Inside Out
Make sure you can discuss your experience with deep learning and computer vision models in detail. Be prepared to explain how you've implemented state-of-the-art models in PyTorch, and share specific examples of projects where you've trained large models across multiple GPUs.
✨Brush Up on Your Theory
Since this role requires a strong understanding of machine learning theory, take some time to review key concepts like linear algebra, probability, and optimisation. Being able to articulate these theories during the interview will show that you have a solid foundation to back up your practical skills.
✨Showcase Your Collaboration Skills
This position involves working closely with engineering teams, so be ready to discuss your experience with modern development workflows. Highlight any past experiences with pull requests, code reviews, and documentation, as well as how you’ve contributed to team projects.
✨Stay Current with Research Trends
Demonstrate your passion for the field by discussing recent developments in machine learning research. Bring up any relevant papers or conferences you've followed, and be prepared to talk about how you would apply these insights to the role, especially in relation to self-supervised learning and 3D imaging.
