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- Tasks: Lead innovative AI projects and mentor teams in Machine Learning.
- Company: Forward-thinking AI company with a focus on cutting-edge technology.
- Benefits: Unlimited annual leave, private healthcare, and hybrid working options.
- Why this job: Make a real impact in AI while enjoying flexibility and great perks.
- Qualifications: Deep knowledge in cloud solutions and strong leadership skills.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A forward-thinking AI company is seeking a Lead Software Engineer with a focus on Machine Learning to drive innovative AI projects. This role requires a balance of technical expertise and leadership, to guide projects from inception to delivery. The ideal candidate will possess deep knowledge in cloud solutions, excellent communication skills, and the ability to mentor and manage teams.
Benefits include unlimited annual leave and private healthcare, along with hybrid working options in London.
Lead ML Engineer, Energy AI – Hybrid Role employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer, Energy AI – Hybrid Role
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects or contributions to open-source. This gives us a tangible way to see your expertise and creativity in action, which is super appealing to potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. We want to hear how you’ve led teams and tackled challenges, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead ML Engineer, Energy AI – Hybrid Role
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical expertise in Machine Learning and cloud solutions. We want to see how your skills can drive innovative AI projects, so don’t hold back!
Leadership Matters: Since this role involves guiding teams, share examples of your leadership experience. Tell us about times you’ve mentored others or led projects from start to finish.
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your background aligns with our mission at StudySmarter and the exciting work we do in AI.
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 fantastic opportunity!
How to prepare for a job interview at Faculty
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your past projects in detail, especially those that involved cloud solutions. The more specific you can be about your contributions and the technologies you used, the better!
✨Show Off Your Leadership Skills
Since this role involves mentoring and managing teams, prepare examples of how you've successfully led projects or guided team members in the past. Think about challenges you faced and how you overcame them while keeping the team motivated.
✨Communicate Clearly
Excellent communication is key for this position. Practice explaining complex technical concepts in simple terms. You might be asked to present your ideas or solutions, so being articulate and confident will set you apart from other candidates.
✨Embrace the Hybrid Model
Familiarise yourself with hybrid working dynamics. Be prepared to discuss how you manage your time and productivity when working remotely versus in the office. Companies love candidates who can adapt to different working environments seamlessly!
