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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: Work with 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.
Lead/Senior Machine Learning Engineer in London employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead/Senior Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. 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, having tangible evidence of your expertise can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Lead/Senior Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Machine Learning Engineer role. Highlight your hands-on experience in the energy or environmental sectors, and don’t forget to showcase your technical expertise in machine learning and AI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how your skills align with the challenges we tackle at StudySmarter. Be genuine and let your personality come through.
Showcase Your Projects: If you've led complex AI initiatives or designed scalable ML systems, make sure to include these projects in your application. We love seeing real-world applications of your work, so don’t hold back!
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’s super easy!
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 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, make sure you can demonstrate your coding skills during the interview. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning. This will show them you’re not just theory but also practical application.
✨Understand Their Mission
Familiarise yourself with the company’s projects and their impact on energy transition and the environment. Being able to articulate how your skills align with their goals will set you apart. Show genuine interest in their work and how you can contribute to their mission of safe, real-world AI.
✨Prepare Questions
Interviews are a two-way street, so come armed with thoughtful questions about the role and the company. Ask about their current projects, team dynamics, and future challenges they foresee in the ML space. This not only shows your enthusiasm but also helps you gauge if this is the right fit for you.