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- Tasks: Lead innovative AI projects and design scalable machine learning systems.
- Company: Join Faculty, a forward-thinking tech company in Greater London.
- Benefits: Enjoy unlimited leave, private healthcare, and a hybrid working model.
- Other info: Dynamic role with opportunities for professional growth and innovation.
- Why this job: Make a real impact in AI while mentoring talented engineering teams.
- Qualifications: Strong Python skills and experience with ML frameworks like TensorFlow.
The predicted salary is between 70000 - 90000 £ per year.
Faculty is seeking a Lead Machine Learning Engineer in Greater London to spearhead technical direction and delivery of innovative AI projects. This role involves designing and maintaining scalable systems, guiding complex ML projects, and mentoring engineering teams.
Key qualifications include:
- Strong Python skills
- Experience with frameworks like Scikit-learn and TensorFlow
- Understanding of major Cloud platforms
Faculty offers an unlimited leave policy, private healthcare, and a hybrid working model.
Lead ML Engineer & Technical Architect (Hybrid) in London employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer & Technical Architect (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Scikit-learn, or TensorFlow. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common algorithms and frameworks, and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead ML Engineer & Technical Architect (Hybrid) 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 and TensorFlow. We want to see how you can bring your technical expertise to the table!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Lead ML Engineer role. We love seeing how your experience aligns with our innovative AI projects.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and passion for the role.
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’re considered for this exciting opportunity in Greater London!
How to prepare for a job interview at Faculty
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the frameworks mentioned, like Scikit-learn and TensorFlow. Brush up on your knowledge of scalable systems and be ready to discuss how you've applied these technologies in past projects.
✨Showcase Your Leadership Skills
Since this role involves mentoring engineering teams, prepare examples of how you've successfully led projects or guided team members. Highlight your experience in managing complex ML projects and how you’ve driven technical direction.
✨Understand Cloud Platforms
Familiarise yourself with major Cloud platforms as they are crucial for this role. Be prepared to discuss how you’ve used these platforms in previous roles and how they can enhance AI project delivery.
✨Ask Insightful Questions
Prepare thoughtful questions about Faculty’s AI projects and their hybrid working model. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.