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For Companies At a Glance
- Tasks: Architect and maintain AI gateways while mentoring fellow engineers.
- Company: A forward-thinking tech company dedicated to sustainable energy solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join us to shape a sustainable future through innovative AI technology.
- Qualifications: 3+ years of experience in ML, strong Python skills, and practical application in production.
- Other info: Be part of a transformative team making a real impact in the energy sector.
The predicted salary is between 36000 - 60000 £ per year.
A technology company focused on sustainable energy seeks a Machine Learning Engineer to join the AI Foundations team. The role involves architecting and maintaining AI gateways, mentoring engineers, and enhancing AI integration across the company.
Ideal candidates will have:
- 3+ years of experience
- Strong Python skills
- Practical ML application in production
Join us to contribute to a transformative and sustainable future in energy.
Senior ML Engineer: AI Foundations & Platform in London employer: Kraken Technologies Limited
Contact Detail:
Kraken Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: AI Foundations & Platform in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best ML projects, especially those that demonstrate your Python prowess and practical applications. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on common ML concepts and coding challenges. We can even set up mock interviews with friends or use online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior ML Engineer: AI Foundations & Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and ML applications. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about sustainable energy and how your background makes you a perfect fit for our AI Foundations team. Let us know what excites you about this opportunity!
Showcase Your Mentoring Experience: Since mentoring is part of the role, share any experiences you have in guiding others. We love to see how you’ve helped fellow engineers grow and how you can bring that to our team!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Kraken Technologies Limited
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially those relevant to AI gateways. Be prepared to discuss your experience with various ML algorithms and how you've applied them in production settings.
✨Showcase Your Python Skills
Since strong Python skills are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and ML libraries like TensorFlow or PyTorch.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions where you’ll need to explain how you would architect an AI solution or mentor a junior engineer. Think of specific examples from your past experiences that highlight your problem-solving skills and leadership.
✨Align with Their Vision
Research the company’s focus on sustainable energy and think about how your work can contribute to that mission. Be ready to discuss how your skills and experiences align with their goals for a transformative future in energy.
