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- Tasks: Own the deployment and maintenance of ML models in production for healthcare.
- Company: Fast-scaling MedTech company focused on real patient impact.
- Benefits: Competitive compensation and clear progression opportunities.
- Why this job: Make a real difference in healthcare with cutting-edge AI technology.
- Qualifications: 3+ years in production ML environments and strong Python skills.
- Other info: Collaborate with scientists and engineers in a mission-driven environment.
The predicted salary is between 48000 - 72000 £ per year.
A fast-scaling MedTech company in the UK is seeking a Senior Machine Learning Engineer to own the deployment, operation, and maintenance of ML models in production. You will collaborate with scientists and engineers to enhance AI systems for clinical use.
The role requires at least 3 years of experience in production ML environments and strong Python skills. Competitive compensation and clear progression opportunities are offered in a mission-driven company focused on real patient impact.
Senior ML Engineer for Production Healthcare AI in London employer: Llama Recruitment Solutions
Contact Detail:
Llama Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer for Production Healthcare AI in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the MedTech and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio of your ML projects, especially those related to healthcare. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding ML deployment processes. Practice coding challenges and system design questions that are relevant to production environments.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive listings and it’s a great way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission-driven team.
We think you need these skills to ace Senior ML Engineer for Production Healthcare AI in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your experience in production ML environments. We want to see how you've deployed and maintained models before, so don’t hold back on the details!
Python is Key: Since strong Python skills are a must, be sure to showcase your proficiency. Include specific projects or examples where you’ve used Python effectively in your work.
Collaborative Spirit: We love teamwork! Mention any past collaborations with scientists or engineers. It’s important for us to know how you work with others to enhance AI systems.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and get you into our system quickly.
How to prepare for a job interview at Llama Recruitment Solutions
✨Know Your ML Models Inside Out
Make sure you can discuss the ML models you've worked on in detail. Be prepared to explain how you deployed them, the challenges you faced, and how you overcame those challenges. This shows your hands-on experience and problem-solving skills.
✨Brush Up on Python Skills
Since strong Python skills are a must for this role, review key libraries and frameworks relevant to ML, such as TensorFlow or PyTorch. Be ready to demonstrate your coding abilities, perhaps even through a live coding exercise during the interview.
✨Understand the Healthcare Context
Familiarise yourself with the specific challenges and regulations in the healthcare sector. Being able to discuss how your work can impact patient care will show that you’re not just technically skilled but also aligned with the company’s mission.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and future goals. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
