At a Glance
- Tasks: Develop advanced machine learning models for clinical research and translate academic findings into real-world solutions.
- Company: Health-tech software company focused on innovative machine learning applications.
- Benefits: Competitive salary, flexible working, and opportunities for research publication.
- Why this job: Make a real impact in healthcare by applying cutting-edge machine learning techniques.
- Qualifications: Strong experience in computer vision, deep learning, and Python programming.
- Other info: Hybrid working model with a supportive and inclusive culture.
The predicted salary is between 60000 - 80000 Β£ 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: Β£70,000 β Β£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. Weβre 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 London employer: RedTech Recruitment
Contact Detail:
RedTech Recruitment Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Machine Learning Scientist in London
β¨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.
β¨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.
β¨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how you've applied machine learning techniques to real-world problems. Practice common interview questions to boost your confidence.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to reach out directly.
We think you need these skills to ace Senior Machine Learning Scientist in London
Some tips for your application π«‘
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 donβt 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 youβve translated academic research into practical applications, so let us know what youβve 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. Weβre looking for candidates who can write high-quality training code, so make sure to mention any relevant tools and workflows youβve used.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. Itβs the best way for us to receive your application and keep track of it, plus youβll find all the details you need there!
How to prepare for a job interview at RedTech Recruitment
β¨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.
β¨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 build upon.
β¨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 instances where you've contributed to code reviews, documentation, or used tools like Git in collaborative settings.
β¨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 breakthroughs that excite you, and explain how you might apply these insights to the role at hand.