At a Glance
- Tasks: Develop and deploy cutting-edge machine learning models in health-tech.
- Company: Fast-growing health-tech company focused on innovative ML solutions.
- Benefits: Competitive salary, flexible remote work, and clear career progression.
- Why this job: Make a real impact in healthcare with advanced machine learning technologies.
- Qualifications: Strong experience in ML engineering, Python, and cloud environments.
- Other info: Collaborative team culture with opportunities for professional growth.
The predicted salary is between 60000 - 84000 £ per year.
A fantastic opportunity for a Senior or Principal Machine Learning Engineer to join a fast-growing, health-tech company developing advanced machine learning and computer vision models used within clinical research and drug development. The business is building large-scale, production-grade ML systems applied to complex 3D imaging data.
This role is highly engineering-focused, sitting between machine learning, infrastructure and deployment. You will work closely with ML Scientists and engineering teams to ensure models can be trained and deployed reliably at scale.
Location: 1 day per week in London - Shepherd's Bush (4 days remote)
Salary: £70,000 - £90,000 per annum, with flexibility for the right candidate, plus benefits
Requirements for Senior / Principal Machine Learning Engineer:
- Strong relevant industry experience in machine learning engineering
- Strong Python and PyTorch experience
- Experience training machine learning models at scale
- Experience building and maintaining model deployment and inference pipelines
- Hands-on experience using Docker in production environments
- Strong Linux and Git skills
- Experience working in cloud environments (AWS, GCP or Azure all acceptable)
- Experience working with CI pipelines
- Proactive, self-sufficient and highly communicative working style
- Strong English written and verbal communication skills
- Educated to a minimum of Masters Level
Responsibilities:
- Develop, train and deploy machine learning models into scalable production environments
- Support and improve large-scale model training and inference pipelines
- Collaborate closely with ML Scientists to productionise research models
- Work with engineering teams to ensure robust, secure and efficient deployment
- Contribute to code quality, documentation and best practices across the ML engineering function
What the role offers:
- Work on impactful health-tech
- Exposure to large-scale, real-world machine learning systems
- A technically strong and collaborative engineering environment
- Hybrid working with a remote-first approach
- Clear cut career trajectory to becoming Head of Machine Learning
Applications: If you would like to apply for this unique Machine Learning Engineering role, please send your CV via the relevant links.
We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing.
Senior Machine Learning Engineer in Edinburgh employer: RedTech Recruitment Ltd
Contact Detail:
RedTech Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the health-tech and machine learning space. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving Python and PyTorch. Share your GitHub link when you apply through our website, so potential employers can see your work in action.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of model deployment and inference pipelines. Practice coding challenges related to Docker and cloud environments. We recommend using platforms like LeetCode or HackerRank to get in the zone!
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We suggest mentioning something specific from your conversation to show you were engaged and interested.
We think you need these skills to ace Senior Machine Learning Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning engineering, especially with Python and PyTorch. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about health-tech and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any large-scale ML systems or have experience with Docker and cloud environments, make sure to mention these in your application. We’re keen to see real-world examples of your work and how you’ve tackled challenges.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at RedTech Recruitment Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Python, PyTorch, and Docker. Brush up on your experience with cloud environments like AWS or GCP, as these will likely come up during the interview. Be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in model training and deployment. Think of examples where you improved pipelines or resolved issues in production. This will demonstrate your hands-on experience and proactive approach.
✨Communicate Clearly
Since this role requires strong communication skills, practice explaining complex concepts in simple terms. You might need to collaborate with ML Scientists, so being able to articulate your thoughts clearly is key. Consider doing mock interviews to refine this skill.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company’s projects or team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. It’s a two-way street!