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- Tasks: Lead AI and machine learning projects to tackle real-world challenges.
- Company: Join a top-tier applied AI company valued at over £1bn.
- Benefits: Competitive salary up to £110k and opportunities for growth.
- Why this job: Make a significant impact in the energy and environmental sectors.
- Qualifications: Experience as a Lead ML Engineer, especially in energy or environment.
- Other info: Be part of a market leader in safe, real-world AI.
The predicted salary is between 72000 - 88000 £ per year.
Xcede are currently partnering with one of Europe’s most well-regarded applied AI companies. They collaborate with governments and major organisations to address complex, high-impact challenges through machine learning and data science. A particularly notable aspect of Faculty is their reputation as a tech unicorn, valued at over £1bn, along with their standing as a market leader in safe, real-world AI.
They are currently seeking ML Engineers for a Lead role within their Energy Transition & Environment unit. The ideal candidate will have hands-on experience working as a Lead ML Engineer within the energy or environmental sectors.
- Lead complex AI and machine learning initiatives
- Design and implement scalable ML systems
- Technical expertise in machine learning and AI
- Proficiency in Python
If you are interested in this or other ML Engineering positions, please contact Gilad Sabari.
Senior/Lead Machine Learning Engineer in London employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior/Lead Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at companies you're eyeing. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. We love seeing what you've built!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML scenarios and be ready to discuss your past experiences. Remember, confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates like you!
We think you need these skills to ace Senior/Lead Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and AI, especially in the energy or environmental sectors. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you the perfect fit. We love seeing enthusiasm and a clear understanding of our mission.
Showcase Your Technical Skills: Since this role requires technical expertise, make sure to highlight your proficiency in Python and any other relevant tools or frameworks. We’re looking for candidates who can lead complex AI initiatives, so don’t hold back on your achievements!
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 the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Xcede
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your hands-on experience with scalable ML systems, especially in the energy or environmental sectors. They’ll want to see that you can lead complex AI initiatives, so be prepared to share specific examples from your past work.
✨Showcase Your Python Skills
Since proficiency in Python is a must-have, don’t just mention it—demonstrate it! Be ready to talk about projects where you've used Python for machine learning tasks. If possible, bring along code snippets or examples that highlight your coding style and problem-solving abilities.
✨Understand Their Mission
Familiarise yourself with the company’s goals, especially their focus on safe, real-world AI applications. Show genuine interest in how they collaborate with governments and organisations to tackle high-impact challenges. This will not only impress them but also help you align your answers with their values.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the company. Inquire about their current projects in the Energy Transition & Environment unit or ask how they measure the success of their ML initiatives. This shows that you’re not just interested in the job, but also in contributing to their mission.