At a Glance
- Tasks: Lead AI projects, design scalable systems, and mentor engineering teams.
- Company: Join a forward-thinking tech company in Greater London.
- Benefits: Unlimited annual leave, private healthcare, and hybrid work model.
- Other info: Dynamic role with opportunities for leadership and growth.
- Why this job: Shape the future of AI while enjoying flexibility and innovation.
- Qualifications: Strong Python skills, ML framework experience, and excellent communication.
The predicted salary is between 70000 - 90000 € per year.
Faculty is seeking a Lead Forward Deployed Engineer to drive the technical direction and innovation of AI projects in Greater London. The successful candidate will balance technical expertise with leadership, guiding teams in delivering complex solutions.
Responsibilities include:
- Setting project direction
- Designing scalable systems
- Mentoring engineers
Candidates should have:
- Strong Python skills
- Experience with ML frameworks and cloud solutions
- Excellent communication skills
The position offers a hybrid working model and a generous benefits package including unlimited annual leave and private healthcare.
Forward-Deployed AI Lead — Hybrid & Flexible Work employer: Faculty
At Faculty, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of Greater London. Our hybrid working model allows for flexibility, while our commitment to employee growth is reflected in our generous benefits package, including unlimited annual leave and private healthcare. Join us to lead cutting-edge AI projects and mentor the next generation of engineers in a supportive and dynamic work culture.
StudySmarter Expert Advice🤫
We think this is how you could land Forward-Deployed AI Lead — Hybrid & Flexible Work
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your Python projects and ML frameworks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and leadership scenarios. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Forward-Deployed AI Lead — Hybrid & Flexible Work
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong Python skills and experience with ML frameworks in your application. We want to see how you can bring your technical expertise to the table!
Be a Leader:Since this role involves guiding teams, don’t forget to mention any leadership experiences you've had. We love seeing candidates who can balance technical know-how with mentoring abilities.
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your past projects align with the responsibilities of setting project direction and designing scalable systems.
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 get to know you better!
How to prepare for a job interview at Faculty
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with ML frameworks and cloud solutions. Prepare to showcase specific projects where you've applied these technologies, as this will demonstrate your technical expertise.
✨Showcase Your Leadership Skills
Since the role involves guiding teams and mentoring engineers, think of examples where you've successfully led a project or team. Be prepared to discuss your leadership style and how you motivate others to achieve their best work.
✨Communicate Clearly and Confidently
Excellent communication is key for this position. Practice explaining complex technical concepts in simple terms, as you may need to convey ideas to non-technical stakeholders. This will show that you can bridge the gap between tech and business.
✨Embrace the Hybrid Work Model
Familiarise yourself with the hybrid working model and be ready to discuss how you manage your time and productivity in such an environment. Share any experiences you have with remote collaboration tools and how you keep your team engaged, regardless of location.
