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, continuous learning, and opportunities for professional growth.
- Other info: Diversity, equity, and inclusion are at the heart of our culture.
- Why this job: Make a real impact with cutting-edge technology in a supportive team.
- Qualifications: PhD in relevant field, industry experience, and proficiency in Python and ML libraries.
The predicted salary is between 60000 - 80000 £ per year.
Location: Oxford, Oxfordshire, United Kingdom
Postcode: OX4 2LL
Type of contract: Permanent
Salary: £ to £ Per Annum
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
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 the field of machine learning. Located in the vibrant city of Oxford, we offer numerous opportunities for professional growth, continuous learning, and contributions to cutting-edge research, all while promoting diversity and inclusion within our teams. Join us to be part of a forward-thinking organisation where your expertise will shape the future of healthcare technology.
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 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 collaborative environments like Perspectum.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. 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 is tailored to the Senior Machine Learning Scientist role. Highlight your relevant experience, especially in leading ML strategies and delivering innovative solutions. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific examples of projects you've worked on that demonstrate your expertise in machine learning and problem-solving. We love seeing proof of your ability to turn research ideas into scalable products, so don’t hold back!
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language to communicate your insights and experiences. We appreciate well-structured applications that are easy to read and understand.
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 at Perspectum!
How to prepare for a job interview at Perspectum
✨Know Your Stuff
Make sure you’re well-versed in the latest machine learning techniques and tools, especially Python and libraries like PyTorch and TensorFlow. Brush up on your knowledge of experimental methodologies and be ready to discuss how you've applied them in past projects.
✨Showcase Your Achievements
Prepare to talk about your significant research achievements and any publications or patents you’ve contributed to. Highlight specific examples where your work has made a real impact, especially in complex machine learning projects.
✨Communicate Clearly
Since collaboration is key, practice explaining complex concepts in simple terms. Be ready to discuss how you’ve worked cross-functionally in the past and how you can mentor others while contributing to product development.
✨Demonstrate Best Practices
Be prepared to discuss your approach to reproducibility and documentation. Share examples of how you ensure quality in your technical documentation and algorithm specifications, as this will show your commitment to scientific rigor.
