At a Glance
- Tasks: Lead innovative AI projects and guide engineering teams to success.
- Company: Top AI consultancy known for its cutting-edge solutions.
- Benefits: Unlimited annual leave, private healthcare, and hybrid working options.
- Why this job: Shape the future of AI while enjoying a flexible work-life balance.
- Qualifications: Strong programming skills and experience with cloud technologies.
- Other info: Join a dynamic team focused on responsible AI and defence.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI consultancy is seeking a Lead Machine Learning Engineer to drive technical direction in innovative AI projects. This role encompasses setting project designs, overseeing complex systems, and managing team growth to deliver exceptional results.
Ideal candidates should have strong programming skills, experience with major cloud providers, and the ability to coach engineering teams.
The company offers a hybrid working structure and a range of standout benefits including unlimited annual leave and private healthcare.
Strategic Lead ML Engineer — Responsible AI & Defence in London employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Strategic Lead ML Engineer — Responsible AI & Defence in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and ML space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to responsible AI. This is your chance to demonstrate your programming prowess and innovative thinking, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML engineering questions and think about how you can coach and lead teams effectively. We want you to be ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Strategic Lead ML Engineer — Responsible AI & Defence in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your passion aligns with our innovative projects and how you can contribute to driving technical direction.
Highlight Relevant Experience: Make sure to showcase your programming skills and experience with major cloud providers. We’re looking for someone who can oversee complex systems, so don’t hold back on detailing your past projects and achievements.
Demonstrate Leadership Skills: As a Strategic Lead, you’ll be managing team growth and coaching engineering teams. Use your application to illustrate your leadership style and any relevant experiences that highlight your ability to guide and inspire others.
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. Plus, it’s super easy!
How to prepare for a job interview at Faculty
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning frameworks and programming languages relevant to the role. Brush up on your experience with major cloud providers, as you’ll likely be asked about how you’ve used them in past projects.
✨Showcase Your Leadership Skills
Since this role involves managing team growth and coaching, prepare examples of how you've successfully led teams or mentored colleagues. Highlight specific instances where your guidance led to improved project outcomes or team performance.
✨Understand Responsible AI Principles
Familiarise yourself with the principles of responsible AI, especially in defence applications. Be ready to discuss how you would ensure ethical considerations are integrated into AI projects, as this is a key focus for the consultancy.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview that demonstrate your interest in the company’s projects and culture. Inquire about their approach to innovation in AI and how they support team development, which shows you’re keen on contributing positively to their environment.