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- Tasks: Lead the design and deployment of innovative AI systems at scale.
- Company: Forward-thinking AI company based in Greater London.
- Benefits: Unlimited annual leave, private healthcare, and hybrid working model.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Strong software engineering skills and experience with ML frameworks.
- Other info: Perfect for those seeking growth in a high-impact environment.
The predicted salary is between 48000 - 72000 £ per year.
A forward-thinking AI company in Greater London is looking for a Senior Machine Learning Engineer to lead the design and deployment of cutting-edge AI systems. Candidates must have strong software engineering skills, operationalisation experience with ML frameworks, and confidence in guiding technical teams.
The role offers unlimited annual leave, private healthcare, and a hybrid working model, making it suitable for high-growth environments.
Senior ML Engineer — Build Production‑Grade AI at Scale employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Build Production‑Grade AI at Scale
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML frameworks. We want to see your work in action, so don’t be shy about sharing your GitHub or any relevant demos.
✨Tip Number 3
Prepare for the interview like it’s the championship game! Brush up on your technical knowledge and be ready to discuss your past experiences. We recommend practising common ML scenarios and how you’ve operationalised them in previous roles.
✨Tip Number 4
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 take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Engineer — Build Production‑Grade AI at Scale
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong software engineering skills and any experience you have with ML frameworks. We want to see how you can lead the design and deployment of AI systems, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that align with the job description. This shows us you’re genuinely interested in the position and understand what we’re looking for.
Be Confident: When discussing your experience guiding technical teams, be confident! Share examples of how you’ve successfully led projects or mentored others. We love seeing candidates who are ready to take charge.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Faculty
✨Know Your ML Frameworks
Make sure you’re well-versed in the ML frameworks mentioned in the job description. Brush up on your knowledge of TensorFlow, PyTorch, or any other relevant tools. Be ready to discuss how you've operationalised these frameworks in past projects.
✨Showcase Your Leadership Skills
As a Senior ML Engineer, you'll be guiding technical teams. Prepare examples of how you've led projects or mentored colleagues. Highlight your ability to communicate complex ideas clearly and inspire others to achieve their best work.
✨Prepare for Technical Questions
Expect to face some challenging technical questions during the interview. Review key concepts in machine learning, algorithms, and software engineering principles. Practising coding problems can also help you feel more confident when tackling live coding challenges.
✨Emphasise Cultural Fit
This company values a forward-thinking approach and a high-growth environment. Research their culture and think about how your values align with theirs. Be ready to discuss why you're excited about the role and how you can contribute to their innovative projects.
