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 technology and collaborative teams.
- Qualifications: Strong experience in machine learning, Python, and cloud environments.
- Other info: Join a dynamic team with opportunities for growth and development.
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 Manchester 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 Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving Python and PyTorch. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of model deployment and inference pipelines. Practice coding challenges and be ready to discuss your past experiences in detail.
✨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 hearing from passionate candidates who are eager to join our team.
We think you need these skills to ace Senior Machine Learning Engineer in Manchester
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 model deployment, make sure to include those details. We’re keen to see real-world applications of your skills, so don’t hold back!
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 info you need about the role and our company 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, Docker, and cloud environments like AWS or GCP. Brush up on your knowledge of CI pipelines too, as these are crucial for the role. Being able to discuss your hands-on experience with these technologies will show that you’re ready to hit the ground running.
✨Showcase Your Projects
Prepare to talk about specific projects where you've developed, trained, and deployed machine learning models. Highlight any challenges you faced and how you overcame them, especially in terms of scaling and maintaining model deployment pipelines. Real-world examples will make your experience tangible.
✨Collaboration is Key
This role involves working closely with ML Scientists and engineering teams, so be ready to discuss your collaborative experiences. Share examples of how you’ve worked in a team to productionise research models or improve existing systems. Emphasising your communication skills will set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects, their tech stack, and future goals. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values. Plus, it gives you a chance to demonstrate your knowledge about the health-tech industry.