At a Glance
- Tasks: Lead AI projects, design scalable ML systems, and mentor your engineering team.
- Company: Dynamic tech company in Greater London with a focus on innovation.
- Benefits: Unlimited leave, private healthcare, and flexible working arrangements.
- Other info: Exciting opportunity for career growth in a collaborative environment.
- Why this job: Shape the future of AI while enjoying a great work-life balance.
- Qualifications: Strong Python skills and experience with ML frameworks like Scikit-learn, TensorFlow, or PyTorch.
The predicted salary is between 70000 - 90000 € per year.
Faculty is looking for a Lead Machine Learning Engineer to lead complex AI projects in Greater London. In this role, you'll set the technical direction, design scalable ML systems, and mentor your engineering team.
Ideal candidates will possess strong Python skills and significant experience with frameworks like Scikit-learn, TensorFlow, or PyTorch.
The position offers standout benefits including unlimited annual leave, private healthcare, and flexible working arrangements, making it an attractive opportunity for tech leaders.
Senior ML Engineer & Tech Leader — Hybrid + Unlimited Leave in London employer: Faculty
At Faculty, we pride ourselves on being an exceptional employer that champions innovation and employee well-being. Our hybrid work model, combined with unlimited annual leave and private healthcare, fosters a supportive and flexible environment where tech leaders can thrive. With a strong focus on mentorship and professional growth, we empower our team to take the lead on complex AI projects in the vibrant tech hub of Greater London.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer & Tech Leader — Hybrid + Unlimited Leave in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on that Lead Machine Learning Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python and frameworks like Scikit-learn, TensorFlow, or PyTorch. 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 problem-solving skills. Practice coding challenges and system design questions relevant to ML systems. We recommend using platforms that focus on these areas to get you ready for those tricky questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Engineer & Tech Leader — Hybrid + Unlimited Leave in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong Python skills and experience with frameworks like Scikit-learn, TensorFlow, or PyTorch. We want to see how you can lead complex AI projects, so don’t hold back on showcasing your technical expertise!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects where you've set the technical direction or mentored a team. This helps us see how you fit into our vision at StudySmarter.
Be Authentic:Let your personality shine through in your application. We value authenticity and want to know what makes you tick as a tech leader. Share your passion for machine learning and how you envision contributing to our team.
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. We can’t wait to hear from you!
How to prepare for a job interview at Faculty
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the ML frameworks mentioned, like Scikit-learn, TensorFlow, and PyTorch. Brush up on your past projects and be ready to discuss specific challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves mentoring, prepare examples of how you've led teams or projects in the past. Think about how you can demonstrate your ability to set a technical direction and inspire others to follow it.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Practice explaining complex concepts clearly and concisely, as you might need to communicate these ideas to non-technical stakeholders as well.
✨Emphasise Flexibility and Work-Life Balance
With unlimited leave and flexible working arrangements on offer, be ready to discuss how you manage work-life balance. Share your thoughts on maintaining productivity while ensuring personal well-being, as this aligns with the company culture.
