At a Glance
- Tasks: Build and optimise machine learning models for groundbreaking biotech applications.
- Company: Exciting early-stage biotech in Edinburgh with a science-led team.
- Benefits: Flexible hybrid or remote work, competitive salary, and impactful projects.
- Other info: Opportunity to work on novel ML applications and advance your career.
- Why this job: Join a pioneering team and make a real difference in gene regulation and therapeutics.
- Qualifications: Strong Python & PyTorch skills; experience with deep learning models.
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 or remote) in Edinburgh employer: Kleboe Jardine Ltd
Join an innovative early-stage biotech 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 real-world impact, all within a supportive and collaborative work culture that values scientific exploration and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (hybrid or 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 or 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—this is your chance to shine!
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, so don't hold back on sharing your achievements!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Kleboe Jardine Ltd
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around deep learning and PyTorch. Be ready to discuss your past projects and how you've applied ML 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 will really impress them.
✨Familiarise Yourself with Their Work
Do some homework on the company’s current projects and their impact on gene regulation and synthetic biology. Being able to discuss their work and how your skills can contribute will show your genuine interest and enthusiasm.
✨Ask Smart Questions
Prepare insightful questions about their machine learning platform and future projects. This not only shows your interest but also helps you gauge if this is the right fit for you. Think about how you can help scale their systems and improve efficiencies.
