At a Glance
- Tasks: Lead machine learning strategy and deliver innovative modelling solutions for impactful projects.
- Company: Join Perspectum, a tech company focused on meaningful projects and innovation.
- Benefits: Collaborative environment with opportunities for learning, development, and career growth.
- Other info: Diversity, equity, and inclusion are at the heart of our culture.
- Why this job: Make a real impact in healthcare by turning research into scalable products.
- Qualifications: PhD in relevant field, industry experience, and proficiency in Python and ML libraries.
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
You will turn research ideas into scalable products, contribute to publications and technical outputs, and uphold best practices in reproducibility and documentation. Working cross-functionally, you’ll communicate insights clearly, collaborate on product development, and mentor others while helping to shape technical direction. Your daily duties will include:
- 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
Essential
- 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.
About Perspectum
At Perspectum, you’ll work with innovative technologies and talented teams on meaningful projects that make a real impact. We offer a collaborative environment where learning, development, and continuous improvement are encouraged. If you’re ready to lead a high-performing support function within a growing technology organisation, we’d love to hear from you. 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 in Oxford employer: Perspectum Diagnostics Ltd.
At Perspectum, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to lead impactful projects in machine learning. Our commitment to continuous learning and development ensures that you will have ample opportunities for professional growth while working alongside talented teams dedicated to making a difference in the biomedical field. Located in a vibrant environment, we celebrate diversity and inclusion, creating a workplace where every individual can thrive and contribute their unique perspectives.
Contact Details:
Perspectum Diagnostics Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Scientist in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the machine learning field, attend relevant meetups, and engage in online forums. 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 projects, especially those that demonstrate your expertise in Python and ML libraries. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts clearly, as communication is key in cross-functional teams. We want to see how you can translate research ideas into practical solutions!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our innovative team at Perspectum.
We think you need these skills to ace Senior Machine Learning Scientist in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Machine Learning Scientist role. Highlight your proficiency in Python, ML libraries, and any relevant projects you've led or contributed to.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about machine learning and how your background makes you a great fit for our team. Don’t forget to mention any significant research achievements or publications!
Showcase Your Problem-Solving Skills:In your application, provide examples of complex machine learning projects you've delivered. We want to see how you approach ambiguous problems and turn them into scalable solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Perspectum Diagnostics Ltd.
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those relevant to the role. Be ready to discuss your experience with Python and libraries like PyTorch and TensorFlow. Prepare examples of how you've applied these skills in past projects.
✨Showcase Your Research Achievements
Since this role involves contributing to publications and technical outputs, be prepared to talk about your significant research achievements. Highlight any papers, patents, or grants you've worked on, and explain how they relate to the position.
✨Demonstrate Collaboration Skills
This job requires working cross-functionally, so think of examples where you've successfully collaborated with other teams. Be ready to discuss how you communicate insights clearly and mentor others, as these are key aspects of the role.
✨Prepare for Problem-Solving Scenarios
Expect to face some ambiguous problem scenarios during the interview. Practice articulating your thought process when tackling complex machine learning projects. Show how you can operate with minimal guidance and still deliver results.
