At a Glance
- Tasks: Lead machine learning strategy and deliver innovative modelling solutions for impactful projects.
- Company: Join a forward-thinking company dedicated to diversity and inclusion.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to mentor and grow your skills.
- Why this job: Shape the future of machine learning while making a real-world impact.
- Qualifications: PhD in relevant field with strong ML experience and Python proficiency.
The predicted salary is between 70000 - 90000 £ per year.
We are looking for a Senior Machine Learning Scientist to lead machine learning strategy and deliver innovative modelling solutions for high-impact projects, ensuring scientific rigor and clinical relevance.
About The Role
- Turn research ideas into scalable products.
- Contribute to publications and technical outputs.
- Uphold best practices in reproducibility and documentation.
- Communicate insights clearly and collaborate on product development.
- Mentor others while helping to shape technical direction.
- Lead ML strategy and technical execution for major projects.
- Design novel or advanced modelling approaches as needed.
- Contribute significantly to scientific or technical outputs such as publications, patents, or grant applications.
- Write, review, and take responsibility for technical documentation, reports, and algorithm specifications.
- Translate research concepts into proof‑of‑concepts, working prototypes and scalable solutions.
- Ensure reproducibility, documentation quality, and adherence to scientific and machine learning best practices.
- Collaborate with internal teams on product development.
About You
- PhD in a relevant field, with industry experience.
- Proficiency in Python and common ML libraries (e.g. PyTorch, TensorFlow, scikit‑learn).
- Proficiency with version control and good software engineering practices.
- Deep expertise in machine learning and experimental methodology.
- Strong track record of applied problem‑solving.
- Experience planning and delivering complex machine learning projects.
- Ability to operate with minimal guidance in ambiguous problem spaces.
- Evidence of significant research achievement.
Desirable
- Formal training or experience in relevant fields of biomedical imaging, e.g. MR, digital pathology, endoscopy.
- Recognised expertise in a sub‑domain (e.g. imaging, pathology, representation learning).
- Experience with regulatory‑facing evidence generation.
- External scientific visibility.
Equal Opportunity Employer
At Perspectum, we are committed to fostering diversity, equity, and inclusion. We value individuals for their unique contributions and are dedicated to creating an environment where everyone can thrive. If you require any reasonable adjustments as part of the application process, please let our Talent Team know.
Senior Machine Learning Scientist employer: Perspectum Ltd
At Perspectum, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through mentorship opportunities and the chance to contribute to high-impact projects in the field of machine learning and biomedical imaging. Located in a vibrant area, we provide a supportive environment where diversity is celebrated, ensuring that every team member can thrive and make meaningful contributions.
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We think this is how you could land Senior Machine Learning Scientist
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We think you need these skills to ace Senior Machine Learning Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Perspectum Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Perspectum Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Perspectum Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Perspectum Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
