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 employer: Faculty
Faculty is an exceptional employer that champions innovation and employee well-being, offering a unique hybrid work model in the vibrant tech hub of Greater London. With standout benefits such as unlimited annual leave, private healthcare, and a culture that prioritises flexibility and professional growth, Faculty empowers its team to lead impactful AI projects while fostering a supportive environment for personal and career development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer & Tech Leader — Hybrid + Unlimited Leave
✨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 is your chance to demonstrate your technical direction and design capabilities, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience leading teams and mentoring others. Practice common ML interview questions and think about how you can convey your leadership style.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications and updates!
We think you need these skills to ace Senior ML Engineer & Tech Leader — Hybrid + Unlimited Leave
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 Yourself:We love authenticity! Let your personality shine through in your application. Share your passion for machine learning and why you’re excited about leading a team. It’s not just about the skills; we want to know the real you!
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 fantastic opportunity. Plus, it’s super easy to do!
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 may need to communicate these ideas to non-technical stakeholders as well.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that show your interest in the company’s vision and projects. Inquire about their current AI initiatives or how they envision the future of machine learning at Faculty.
