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- Tasks: Build core ML capabilities to drive AI adoption across departments.
- Company: Leading global technology firm in the energy sector.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a team making a real impact in sustainable energy through innovative AI solutions.
- Qualifications: 3 years of experience, strong Python skills, and familiarity with MLOps.
The predicted salary is between 43200 - 72000 £ per year.
A leading global technology firm in energy is looking for a Machine Learning Engineer to join their AI Foundations team. This role focuses on building core ML capabilities that enhance the adoption of AI across departments.
Ideal candidates will have around 3 years of experience, strong Python skills, and familiarity with MLOps. The position offers an opportunity to work at the intersection of platform engineering and applied machine learning, contributing to impactful projects in sustainable energy.
Senior ML Engineer - AI Foundations: Build Core AI Gateways employer: Kraken Digital Asset Exchange
Contact Detail:
Kraken Digital Asset Exchange Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - AI Foundations: Build Core AI Gateways
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your ML projects. This is your chance to demonstrate your Python prowess and MLOps knowledge in action.
✨Tip Number 3
Ace the interview by practising common ML scenarios and problem-solving questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to 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 that extra step!
We think you need these skills to ace Senior ML Engineer - AI Foundations: Build Core AI Gateways
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in relation to machine learning and MLOps.
Tailor Your Experience: When writing your application, focus on your relevant experience. We’re looking for around 3 years in the field, so make sure to showcase any projects or roles that align with building core ML capabilities.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Let us see your passion for AI and sustainable energy without fluff!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Kraken Digital Asset Exchange
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially those relevant to the energy sector. Be prepared to discuss algorithms, model evaluation, and how you've applied these in past projects. This will show your depth of knowledge and passion for the field.
✨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 or discuss your previous projects. Practise coding challenges and be familiar with libraries like TensorFlow or PyTorch.
✨Familiarise Yourself with MLOps
Understanding MLOps is crucial for this role. Be prepared to talk about your experience with deploying models, monitoring performance, and maintaining ML systems. Highlight any tools or frameworks you’ve used, as this will show you can bridge the gap between development and operations.
✨Connect Your Work to Sustainable Energy
This position focuses on impactful projects in sustainable energy, so make sure to connect your past experiences to this theme. Discuss how your work has contributed to sustainability or how you envision AI enhancing energy solutions. This will demonstrate your alignment with the company's mission.
