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- Tasks: Lead innovative AI projects and manage engineering teams in a dynamic environment.
- Company: Pioneering AI company based in Greater London with a focus on innovation.
- Benefits: Unlimited annual leave, hybrid working options, and competitive salary.
- Why this job: Shape the future of AI while enjoying flexibility and work-life balance.
- Qualifications: Strong Python skills and experience with Scikit-learn and TensorFlow.
- Other info: Opportunity to set technical directions and drive impactful project delivery.
The predicted salary is between 48000 - 72000 £ per year.
A pioneering AI company in Greater London is seeking a Lead Machine Learning Engineer to spearhead innovative AI projects. This role requires strong Python skills, experience with frameworks like Scikit-learn and TensorFlow, and the ability to manage engineering teams.
Candidates will have the opportunity to set technical directions and drive project delivery in a dynamic environment while enjoying perks like unlimited annual leave and hybrid working options.
Senior Machine Learning Engineer & Technical Leader Hybrid employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer & Technical Leader Hybrid
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, Scikit-learn, and TensorFlow. Share your GitHub link when you apply through our website, so potential employers can see your work in action.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience managing teams. Practice common machine learning scenarios and be prepared to explain your thought process clearly.
✨Tip Number 4
Don’t just apply anywhere—focus on companies that align with your values and interests. When you apply through our website, tailor your application to highlight how you can contribute to their innovative AI projects. Show them you’re the perfect fit!
We think you need these skills to ace Senior Machine Learning Engineer & Technical Leader Hybrid
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially with frameworks like Scikit-learn and TensorFlow. Don’t hold back on the details!
Demonstrate Leadership Experience: Since this role involves managing engineering teams, share examples of your leadership experience. We’re keen to know how you’ve guided teams in the past and what strategies you used to drive project success.
Tailor Your Application: Take a moment to customise your application for us. Mention specific projects or experiences that align with our innovative AI focus. This shows us you’re genuinely interested in the role and understand what we’re about.
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. Plus, it’s super easy!
How to prepare for a job interview at Faculty
✨Showcase Your Python Prowess
Make sure to brush up on your Python skills before the interview. Be ready to discuss specific projects where you've used Python, especially with frameworks like Scikit-learn and TensorFlow. Highlight any innovative solutions you've implemented using these tools.
✨Demonstrate Leadership Experience
Since this role involves managing engineering teams, prepare examples of how you've successfully led projects or teams in the past. Discuss your leadership style and how you motivate your team to achieve technical goals.
✨Prepare for Technical Challenges
Expect to face technical questions or challenges during the interview. Practice coding problems related to machine learning and be ready to explain your thought process. This will show your problem-solving skills and technical depth.
✨Emphasise Adaptability and Innovation
This company values innovation, so be prepared to discuss how you've adapted to new technologies or methodologies in your previous roles. Share examples of how you've driven project delivery in dynamic environments, showcasing your ability to think outside the box.
