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- Tasks: Lead projects in machine learning, focusing on LLMs and internal tools.
- Company: A top tech company in the UK with a commitment to sustainability.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference by developing solutions for a sustainable energy future.
- Qualifications: Experience with LLMs, strong Python skills, and data science expertise.
- Other info: Join a dynamic team dedicated to innovation and operational excellence.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in the UK is seeking a Senior Machine Learning Engineer to join their AI Foundry team. This role requires proven experience in LLMs, strong Python skills, and solid data science expertise.
You will take ownership of projects, collaborating closely with product and engineering teams to deliver impactful internal tools. This position focuses on developing solutions that enhance operational effectiveness while promoting a sustainable energy future. Join us to help shape a better tomorrow.
Senior ML Engineer - AI Foundry (LLM & Internal Tools) in London employer: Kraken
Contact Detail:
Kraken Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - AI Foundry (LLM & Internal Tools) in London
✨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 repo showcasing your projects, especially those related to LLMs and Python. This will help us see your hands-on experience and creativity.
✨Tip Number 3
Ace the interview by practising common ML questions and scenarios. We want to see how you think and solve problems, so be ready to discuss your past projects and the impact they had.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to a sustainable energy future.
We think you need these skills to ace Senior ML Engineer - AI Foundry (LLM & Internal Tools) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLMs and Python. 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 AI and how you can contribute to our mission of promoting a sustainable energy future. Let us know what excites you about this role!
Showcase Your Collaboration Skills: Since this role involves working closely with product and engineering teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Kraken
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs). Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and practical experience.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand. Familiarity with libraries like TensorFlow or PyTorch can also give you an edge.
✨Collaborate Like a Pro
This position involves working closely with product and engineering teams, so highlight your teamwork experience. Share examples of how you've successfully collaborated on projects in the past, focusing on communication and problem-solving skills that led to impactful results.
✨Align with Their Vision
The company is focused on promoting a sustainable energy future, so do your homework on their initiatives. Be ready to discuss how your work as a Senior ML Engineer can contribute to this vision. Showing that you share their values can make a big difference in your interview.
