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: Fully 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 - Fully Remote in Edinburgh employer: Kleboe Jardine Ltd
Join an innovative early-stage biotech company in Edinburgh, where you'll be part of a dynamic and ambitious team dedicated to advancing machine learning applications in gene regulation and synthetic biology. With a strong focus on employee growth, you will have the opportunity to work on groundbreaking projects that have a tangible impact on healthcare, all while enjoying a fully remote work environment that promotes flexibility and work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Fully 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, attend virtual meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to biotech. Share your GitHub link or any relevant work during interviews to demonstrate your hands-on experience with Python and PyTorch.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning knowledge. Practice coding challenges and be ready to discuss your approach to building and optimising models. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged. So, get your application in and let’s make some biotech magic happen together!
We think you need these skills to ace Machine Learning Engineer - Fully 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 your work that demonstrate your ability to tackle complex scientific problems.
Showcase Your Projects:If you've worked on any deep learning models or data pipelines, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they relate to genomics or AI workflows!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
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 and PyTorch. Be ready to discuss your past projects and how you've applied ML techniques in real-world scenarios, particularly in biotech if possible.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. This role is all about solving hard scientific problems, so demonstrating your analytical thinking and creativity will really impress the interviewers.
✨Familiarise Yourself with Genomics
Since this position involves working with large genomics datasets, it’s a good idea to have a basic understanding of genomics and how machine learning can be applied in this field. Mention any relevant experience or coursework that relates to biological data.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's projects and future goals. This shows your genuine interest in their work and helps you gauge if the company aligns with your career aspirations. Plus, it’s a great way to engage with the interviewers!
