At a Glance
- Tasks: Build and optimise machine learning models for groundbreaking biotech applications.
- Company: Exciting early-stage biotech in Edinburgh focused on innovative gene regulation solutions.
- Benefits: Hybrid remote work, competitive salary, and the chance to make a real-world impact.
- Other info: Opportunity to work on novel ML applications and advance your career in a dynamic field.
- Why this job: Join a science-led team and contribute to cutting-edge ML tools in biotechnology.
- Qualifications: Strong Python & PyTorch skills, experience with deep learning models, and ML engineering best practices.
The predicted salary is between 50000 - 70000 € per year.
We’re partnering with an exciting early-stage biotech in Edinburgh that is building cutting-edge machine learning tools to unlock new understanding in gene regulation, synthetic biology, and next-generation therapeutics. This is a rare opportunity for an ML Engineer to join a highly ambitious, science-led team at an early stage and help scale a machine learning platform with real-world biological impact.
You’ll work at the intersection of machine learning engineering, data infrastructure, and applied research, helping translate novel scientific ideas into robust ML systems.
- Building and optimising deep learning models (PyTorch)
- Developing and maintaining scalable data pipelines for large genomics datasets
- Improving model training efficiency and infrastructure
- Supporting deployment and model lifecycle management
- Contributing to AI/agentic workflows for scientific automation
Strong Python & PyTorch experience is required, along with:
- Experience training/evaluating deep learning models in production or research environments
- A solid grounding in ML engineering best practice (pipelines, versioning, benchmarking, cloud compute)
- Bonus points for transformers, biological sequence data, workflow tooling, or LLM/agentic AI exposure
Work on genuinely novel ML applications in biotech. If you’re excited by applied ML, infrastructure, and solving hard scientific problems, I’d love to speak with you.
Machine Learning Engineer - Hybrid Remote in Edinburgh employer: Kleboe Jardine Ltd
Join an innovative early-stage biotech in Edinburgh, where you'll be part of a dynamic and science-driven team dedicated to pioneering machine learning solutions that have a tangible impact on gene regulation and therapeutics. With a strong emphasis on employee growth, collaborative work culture, and the opportunity to contribute to groundbreaking projects, this role offers a unique chance to advance your career while making meaningful contributions to the field of biotechnology.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Hybrid Remote in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the biotech and machine learning fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for the industry.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving PyTorch and deep learning models. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML engineering best practices. Practice coding challenges and be ready to discuss your past experiences with model training and data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who are excited about applied ML and making a real-world impact. Your dream job could be just a click away!
We think you need these skills to ace Machine Learning Engineer - Hybrid Remote in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and PyTorch, as well as any relevant projects in machine learning. We want to see how your skills align with the exciting work we're doing in biotech!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about machine learning and biotech. Share specific examples of how you've tackled challenges in previous roles, especially those related to deep learning models or data pipelines.
Showcase Your Projects:If you've worked on any interesting ML projects, especially in production or research, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on the details.
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 to join our ambitious team!
How to prepare for a job interview at Kleboe Jardine Ltd
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals, especially around deep learning models and PyTorch. Be ready to discuss your past projects and how you've applied ML engineering best practices in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, particularly in optimising data pipelines or improving model training efficiency. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Get Familiar with Their Work
Research the biotech company and their current projects. Understanding their focus on gene regulation and synthetic biology will help you tailor your responses and show genuine interest in their mission.
✨Ask Smart Questions
Prepare insightful questions that demonstrate your curiosity about their ML applications and workflows. This not only shows your enthusiasm but also helps you gauge if the role aligns with your career goals.
