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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 the AI field 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space on LinkedIn or at industry events. 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 ML projects, especially those that highlight your leadership and technical expertise. 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 both technical and soft skills. Be ready to discuss your experience with cloud solutions and how you've successfully led teams in past projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our innovative team. Plus, it shows you're genuinely interested in what we do.
We think you need these skills to ace Lead ML Engineer, Energy AI – Hybrid Role in London
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 experience aligns with the innovative AI projects we’re driving at StudySmarter.
Be a Leader: Since this role involves guiding teams, don’t forget to mention any leadership or mentoring experiences you’ve had. We love seeing candidates who can inspire and manage others effectively.
Tailor Your Application: Take a moment to customise your application for us. Use keywords from the job description to show that you understand what we’re looking for in a Lead ML Engineer. It’ll make your application stand out!
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 at StudySmarter.
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 previous projects in detail, especially those that involved cloud solutions. This will show your technical expertise and how you can apply it to the role.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams or projects in the past. Highlight your mentoring experiences and how you've guided others to success. This is crucial for a Lead ML Engineer position, so make it clear that you can inspire and manage a team effectively.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex technical concepts in simple terms. You might be asked to present your ideas or solutions, so being articulate will help you stand out as a candidate who can bridge the gap between tech and non-tech stakeholders.
✨Embrace the Hybrid Work Culture
Familiarise yourself with hybrid working dynamics. Be prepared to discuss how you manage your time and productivity in a flexible work environment. This shows that you’re adaptable and ready to thrive in their unique setup.
