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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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those using Python, Scikit-learn, and TensorFlow. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've managed teams and driven projects in the past – they want to see your experience in action!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our innovative team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Senior Machine Learning Engineer & Technical Leader Hybrid in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python prowess and experience with frameworks like Scikit-learn and TensorFlow. We want to see how you can lead innovative AI projects, so don’t hold back on showcasing your technical skills!
Tailor Your Application: Take a moment to customise your application for the Senior Machine Learning Engineer role. Mention specific projects or experiences that align with our needs, especially around managing engineering teams and driving project delivery.
Be Yourself: We love authenticity! Let your personality shine through in your application. Share your passion for AI and how you envision contributing to our dynamic environment. We’re looking for someone who fits in with our culture as much as their skill set.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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
✨Show Off Your Python Skills
Make sure to brush up on your Python knowledge before the interview. Be ready to discuss specific projects where you've used Python, especially with frameworks like Scikit-learn and TensorFlow. They’ll want to see how you’ve applied these skills in real-world scenarios.
✨Demonstrate Leadership Experience
Since this role involves managing engineering teams, be prepared to share examples of your leadership experience. Talk about how you've guided teams through challenges, set technical directions, and ensured project delivery. Highlight any successful projects that showcase your ability to lead.
✨Prepare for Technical Questions
Expect some technical questions that will test your understanding of machine learning concepts and algorithms. Brush up on key topics and be ready to explain your thought process when solving problems. Practising coding challenges can also help you feel more confident.
✨Emphasise Adaptability and Innovation
This company is all about innovation, so be sure to convey your adaptability and willingness to embrace new technologies. Share examples of how you've stayed ahead of industry trends or adapted to changes in project requirements. This will show them you're a forward-thinking candidate.
