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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 - 80000 £ 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 in Slough employer: RedTech Recruitment
Contact Detail:
RedTech Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Scientist in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving deep learning and computer vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail, especially how you've applied modern techniques to real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search and genuinely interested in joining our team.
We think you need these skills to ace Senior Machine Learning Scientist in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning models, 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 candidates who can translate 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 someone who can hit the ground running, so make those skills pop in your application!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves, and we can’t wait to see what you bring to the table!
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 models, especially in computer vision. Be ready to explain how you've implemented state-of-the-art techniques in PyTorch and the challenges you faced while training large models across multiple GPUs.
✨Brush Up on Your Theory
Since this role requires a strong understanding of machine learning theory, be prepared to talk about concepts like linear algebra, probability, and optimisation. You might get asked to solve a problem on the spot, so having a solid grasp of these fundamentals will definitely give you an edge.
✨Showcase Your Research Skills
This position is research-focused, so highlight any publications or projects where you've translated academic research into practical applications. Discuss how you keep up with the latest developments in machine learning and how you’ve applied new findings to your work.
✨Demonstrate Collaboration and Communication
As you'll be working closely with engineering teams, emphasise your experience with modern development workflows, including code reviews and documentation. Be ready to share examples of how you've effectively communicated complex ideas to non-technical stakeholders.
