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: Competitive salary, collaborative environment, and opportunities for learning and development.
- Other info: Diversity, equity, and inclusion are at the heart of our culture.
- Why this job: Make a real impact with cutting-edge technology and lead high-performing teams.
- Qualifications: PhD in relevant field, industry experience, and proficiency in Python and ML libraries.
The predicted salary is between 65000 - 70000 £ 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
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.
- 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 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 competitive salaries, opportunities for professional growth, and a commitment to diversity and inclusion, ensuring that every team member can thrive and contribute their unique talents. 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
✨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 highlight 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 in simple terms, as communication is key when collaborating with cross-functional teams.
✨Tip Number 4
Don’t forget to 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
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 and ML libraries, as well as any relevant projects you've led.
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 perfect 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 don’t miss out on any important updates from our Talent Team.
How to prepare for a job interview at Perspectum
✨Know Your Stuff
Make sure you brush up on your machine learning knowledge, especially around the latest techniques and libraries like PyTorch and TensorFlow. Be ready to discuss your past projects in detail, showcasing your problem-solving skills and how you've applied ML methodologies.
✨Showcase Your Research
Prepare to talk about your research achievements and any publications or patents you've contributed to. This is your chance to demonstrate your scientific rigor and how your work has had a real impact in the field.
✨Collaboration is Key
Since the role involves working cross-functionally, think of examples where you've successfully collaborated with other teams. Highlight your communication skills and how you've mentored others, as this will show you're a team player who can lead and inspire.
✨Be Ready for Technical Questions
Expect some technical questions that test your understanding of machine learning concepts and best practices. Practice explaining complex ideas clearly and concisely, as this will be crucial for translating research into scalable solutions.
