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- Tasks: Lead the development of AI systems for a cutting-edge wellbeing platform.
- Company: Fast-growing health tech company focused on improving wellbeing.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real difference in people's lives through innovative AI solutions.
- Qualifications: 5+ years in machine learning, Python proficiency, and experience with recommendation systems.
- Other info: Collaborative environment with a focus on health and wellbeing.
The predicted salary is between 48000 - 72000 £ per year.
A health tech company in the UK is looking for a Lead AI Engineer to develop and deploy AI systems for their new wellbeing platform. This role needs someone with over 5 years of experience in machine learning, proficiency in Python, and expertise in recommendation systems.
You will lead the technical delivery of AI features, manage an MLOps pipeline, and collaborate across teams to enhance user experience. This is a great opportunity to work in a fast-growing environment focused on health and wellbeing.
Lead AI Engineer for Personalised Wellbeing employer: Healf
Contact Detail:
Healf Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer for Personalised Wellbeing
✨Tip Number 1
Network like a pro! Reach out to people in the health tech space, especially those working on AI projects. 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 and recommendation systems. This will give potential employers a taste of what you can bring to their wellbeing platform.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with MLOps pipelines and how you’ve collaborated with teams in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead AI Engineer for Personalised Wellbeing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and Python. We want to see how your skills align with the role of Lead AI Engineer, so don’t be shy about showcasing your expertise in recommendation systems!
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 the perfect fit for our wellbeing platform. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially those that demonstrate your ability to lead technical delivery and manage MLOps pipelines.
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 don’t miss out on any important updates from our team. We can’t wait to hear from you!
How to prepare for a job interview at Healf
✨Know Your AI Stuff
Make sure you brush up on your machine learning concepts and be ready to discuss your experience with recommendation systems. Prepare examples of projects where you've successfully implemented AI solutions, especially in health tech or wellbeing.
✨Python Proficiency is Key
Since Python is a must-have for this role, practice coding challenges that focus on algorithms and data structures. Be prepared to demonstrate your coding skills during the interview, as they might ask you to solve a problem on the spot.
✨Show Your Leadership Skills
As a Lead AI Engineer, you'll need to showcase your ability to lead teams and manage projects. Think of specific instances where you've led technical delivery or collaborated across teams, and be ready to share those stories.
✨Understand the Wellbeing Focus
Familiarise yourself with the company's wellbeing platform and its goals. Show genuine interest in how AI can enhance user experience in health tech. This will demonstrate your alignment with their mission and your enthusiasm for the role.
