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- Tasks: Lead the design and development of advanced ML systems to improve human health.
- Company: Top consulting firm in Greater London focused on health innovation.
- Benefits: Attractive salary, health perks, flexible working, and growth opportunities.
- Why this job: Make a real difference in biomedicine while collaborating with top researchers.
- Qualifications: Extensive experience in software and ML engineering, with strong Python skills.
- Other info: Join a dynamic team driving impactful health technology projects.
The predicted salary is between 60000 - 84000 £ per year.
A leading consulting firm in Greater London is seeking a Senior Staff Machine Learning Engineer to spearhead architectures that enhance human health through advanced ML systems. The role demands substantial experience in software and ML engineering, as well as strong Python proficiency.
Responsibilities include:
- Leading technical design
- Managing model development
- Ensuring smooth deployment of ML systems
This position offers an exciting opportunity to influence advancements in biomedicine and drive collaborative projects with researchers.
Senior Staff ML Engineer - Technical Lead (Health AI) employer: KEMIO Consulting
Contact Detail:
KEMIO Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Staff ML Engineer - Technical Lead (Health AI)
✨Tip Number 1
Network like a pro! Reach out to your connections in the health AI space and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best ML projects, especially those related to health. This will give potential employers a taste 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 past projects in detail—this is your chance to shine!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your expertise. Plus, it shows you're serious about joining our team and contributing to exciting advancements in biomedicine.
We think you need these skills to ace Senior Staff ML Engineer - Technical Lead (Health AI)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in software and ML engineering. We want to see your Python proficiency shine through, so don’t hold back on showcasing your technical skills!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your past experiences align with the responsibilities of leading technical design and managing model development. We love seeing how you can fit into our vision!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to influence advancements in biomedicine.
How to prepare for a job interview at KEMIO Consulting
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially those relevant to health AI. Be prepared to discuss algorithms, model evaluation metrics, and deployment strategies. This will show your depth of knowledge and passion for the field.
✨Showcase Your Python Skills
Since strong Python proficiency is a must, be ready to demonstrate your coding skills. You might be asked to solve problems or explain your previous projects. Practise coding challenges and be familiar with libraries like TensorFlow or PyTorch.
✨Prepare for Technical Design Questions
Expect questions about technical design and architecture. Think through how you would approach building an ML system from scratch, including data collection, preprocessing, model selection, and deployment. Use real-world examples from your experience to illustrate your thought process.
✨Emphasise Collaboration and Leadership
As a technical lead, your ability to work with researchers and manage teams is crucial. Prepare examples that highlight your leadership style and collaborative projects. Discuss how you’ve successfully led teams in the past and navigated challenges in a project setting.
