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- Tasks: Own the deployment and maintenance of ML models in a fast-paced healthcare environment.
- Company: A rapidly growing MedTech company dedicated to improving patient outcomes.
- Benefits: Competitive salary, clear career progression, and a mission-driven work culture.
- Why this job: Make a real impact on healthcare by enhancing AI systems for clinical use.
- Qualifications: 3+ years in production ML environments and strong Python skills required.
- Other info: Join a dynamic team focused on innovation and patient care.
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 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
✨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 show your passion for healthcare AI.
✨Tip Number 2
Showcase your skills! Create a portfolio of your past ML projects, especially those related to healthcare. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and ML concepts. Practice coding challenges and be ready to discuss your previous experiences in production environments.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who are passionate about making a real impact in healthcare. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior ML Engineer for Production Healthcare AI
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 tackled real-world challenges and what impact your work has had in previous roles.
Python Proficiency is Key: Since strong Python skills are a must, don’t forget to showcase your coding prowess. Include specific projects or examples where you’ve used Python to solve complex problems in ML.
Collaborative Spirit: This role involves working closely with scientists and engineers, so let us know about your teamwork experiences. Share examples of how you’ve collaborated to enhance AI systems or tackle projects together.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our mission-driven company!
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 with in detail. Be prepared to explain how you've deployed and maintained them in production, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, brush up on your coding abilities. Be ready to solve coding problems or discuss your previous projects that highlight your proficiency in Python, especially in relation to ML.
✨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 your commitment to the mission-driven nature of the company.
✨Prepare for Collaborative Scenarios
As you'll be working closely with scientists and engineers, think of examples where you've successfully collaborated in a team. Highlight your communication skills and how you can bridge the gap between technical and non-technical stakeholders.
