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- Tasks: Lead the development of AI systems for sustainability and energy transition projects.
- Company: Join a top applied AI company making a real impact on the environment.
- Benefits: Competitive salary up to £145k, mentorship opportunities, and a chance to innovate.
- Why this job: Make a meaningful difference while working on cutting-edge technology in a dynamic field.
- Qualifications: Senior technical authority with Python and cloud platform expertise.
- Other info: Opportunity to lead teams and shape the future of AI in energy.
The predicted salary is between 43200 - 60000 £ per year.
Xcede has just started working with one of the leading applied AI companies in the UK. If you want to make a real meaningful impact on the environment this is the job for you!
This senior technical leadership role is focused on building and deploying production-grade AI systems for large-scale infrastructure, sustainability, and energy transition programmes.
You will:
- Define engineering strategy for large-scale machine learning initiatives
- Architect and deliver resilient AI platforms
- Lead multi-stream programmes in ambiguous environments
- Build shared internal tooling
- Hire and mentor senior engineers
- Introduce new technologies and ways of working
- Act as a trusted technical authority for senior stakeholders
Requirements:
- You are recognised as a senior technical authority, able to dive deep into complex problems while maintaining a broad perspective across modern engineering and machine learning systems.
- Proficiency with Python
- Proficiency with leading public cloud platforms e.g. Azure
- You have practical experience packaging and deploying applications using modern container platforms and managing them at scale with cluster orchestration systems.
- You have a proven ability to lead and develop engineering teams, setting clear technical objectives that raise delivery quality and performance.
- You consistently design innovative approaches to complex delivery challenges and take full responsibility for seeing projects through to success.
- You communicate with clarity and confidence, enabling customers to reach their objectives while aligning both engineering teams and business leaders.
If you are interested in this or other Lead Machine Learning Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com | 02074226861
Lead Machine Learning Engineer - Energy Transition & Environment employer: Xcede Recruitment Solutions
Contact Detail:
Xcede Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Machine Learning Engineer - Energy Transition & Environment
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions 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’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Let’s get you that dream job!
We think you need these skills to ace Lead Machine Learning Engineer - Energy Transition & Environment
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Machine Learning Engineer role. Highlight your experience with Python, cloud platforms like Azure, and any relevant projects that showcase your ability to lead engineering teams and tackle complex problems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about energy transition and how your skills align with the job. Be sure to mention specific achievements that demonstrate your leadership and technical expertise.
Showcase Your Projects: If you've worked on any significant AI or machine learning projects, make sure to include them in your application. Describe your role, the technologies you used, and the impact of your work. This will help us see your hands-on experience and problem-solving skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Xcede Recruitment Solutions
✨Know Your Stuff
Make sure you brush up on your Python skills and get familiar with the latest in cloud platforms like Azure. Be ready to discuss your experience with container platforms and orchestration systems, as these are crucial for the role.
✨Showcase Your Leadership Skills
Prepare examples of how you've led engineering teams in the past. Highlight specific projects where you set clear objectives and improved delivery quality. This will demonstrate your ability to mentor and guide others effectively.
✨Think Big Picture
Be ready to talk about your approach to complex problems. The interviewers will want to see that you can maintain a broad perspective while diving deep into technical challenges. Share innovative solutions you've implemented in previous roles.
✨Communicate Clearly
Practice articulating your thoughts clearly and confidently. You’ll need to align engineering teams with business leaders, so being able to communicate complex ideas simply is key. Consider doing mock interviews to refine your delivery.
