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.
RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role is not of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech.
Senior Machine Learning Engineer in Bristol 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 Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving Python and PyTorch. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts clearly, as communication is key in this role. Mock interviews can help you feel more confident!
✨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 health-tech revolution.
We think you need these skills to ace Senior Machine Learning Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your experience with Python, PyTorch, and any relevant projects that showcase your skills in machine learning engineering.
Showcase Your Projects: Include specific examples of machine learning models you've developed or deployed. We love seeing hands-on experience, so don’t shy away from detailing your work with Docker, cloud environments, and CI pipelines.
Communicate Clearly: Since strong communication skills are key for this role, ensure your written application is clear and concise. Use straightforward language to describe your experiences and how they relate to the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep track of it, plus you’ll find more info 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, 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 applied 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
Prepare thoughtful questions about the company’s current projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Plus, it can spark a great conversation!