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- Tasks: Design and develop advanced deep learning models for biological data.
- Company: Ambitious early-stage biotech company focused on machine learning and genomics.
- Benefits: Flexible working hours, strong learning environment, and dedicated development time.
- Other info: Collaborate closely with senior leadership and bioinformatics teams.
- Why this job: Tackle challenging problems with real impact and intellectual ownership.
- Qualifications: PhD in Machine Learning or related field, strong Python and PyTorch skills.
The predicted salary is between 60000 - 80000 £ per year.
We’re partnering with an ambitious early-stage biotech company applying advanced machine learning to complex biological problems. This is a research-driven role for someone who wants to work on genuinely challenging problems at the intersection of deep learning and genomics.
You’ll work directly with senior technical leadership, contributing to the development of next-generation models and research frameworks.
What you’ll be doing:
- Designing and developing advanced deep learning models for biological data
- Working with sequence-based and multimodal datasets
- Exploring new architectures, training strategies, and evaluation approaches
- Contributing to longer-term research directions (including foundation models)
- Collaborating closely with bioinformatics and science teams
What we’re looking for:
- PhD in Machine Learning, AI, or a related field
- Strong experience with Python and PyTorch (or JAX)
- Track record of independent research (publications, thesis, or equivalent)
- Experience designing and training complex neural networks (e.g. transformers)
- Strong experimental and problem-solving mindset
Nice to have:
- Experience working with biological or sequence data
- Exposure to large-scale or foundation model training
- Interest in applying ML to real-world scientific problems
Why this role:
- A genuinely research-led position with real influence
- Work on problems where the answers are not known
- Close collaboration with senior technical leadership
- Strong learning environment with dedicated development time
- Flexible working (4 or 5 day week)
If you’re motivated by hard problems, real impact, and intellectual ownership, this is one to explore.
Researcher - Financial Services in Edinburgh employer: Kleboe Jardine Ltd
Contact Detail:
Kleboe Jardine Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Researcher - Financial Services in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services and machine learning sectors. Attend meetups, webinars, or conferences where you can connect with potential employers and showcase your passion for research.
✨Tip Number 2
Showcase your work! Create a portfolio that highlights your research projects, publications, and any relevant experience with deep learning models. This will give you an edge when discussing your skills during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch skills. Practice coding challenges and be ready to discuss your approach to designing complex neural networks and solving real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals who want to tackle challenging problems. Your next big opportunity could be just a click away!
We think you need these skills to ace Researcher - Financial Services in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of a Researcher in Financial Services. Highlight your PhD, relevant projects, and any publications that showcase your expertise in machine learning and deep learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about applying machine learning to biological problems. Mention specific experiences that demonstrate your problem-solving mindset and collaborative spirit.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and PyTorch (or JAX). If you’ve worked with complex neural networks or have experience with biological data, make sure to include that too. We love seeing practical examples of your work!
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 this exciting opportunity. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Kleboe Jardine Ltd
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially deep learning and neural networks. Be ready to discuss your previous research and how it relates to the role, as well as any publications or projects you've worked on.
✨Showcase Your Skills
Prepare to demonstrate your proficiency in Python and PyTorch (or JAX). You might be asked to solve a coding problem or explain your approach to designing complex models, so practice articulating your thought process clearly.
✨Understand the Company’s Focus
Research the biotech company and their specific challenges in applying machine learning to biological data. This will help you tailor your answers and show that you're genuinely interested in their work and how you can contribute.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future research directions. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.