At a Glance
- Tasks: Design and implement ML algorithms while mentoring teams in a collaborative environment.
- Company: Leading energy intelligence platform in the UK with a focus on innovation.
- Benefits: Flexible work model, pension scheme, and access to learning budgets.
- Why this job: Join a diverse team and create impactful solutions using cutting-edge technology.
- Qualifications: Strong Python skills and experience with ML/AI projects required.
- Other info: Embrace a culture that values diversity and encourages growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading energy intelligence platform in the UK seeks a full-time Machine Learning Engineer to develop innovative solutions leveraging data. This position involves designing and implementing ML algorithms, mentoring teams, and contributing to a collaborative culture.
Ideal candidates will have:
- a strong background in Python
- experience with ML/AI projects
- excellent communication skills
Benefits include a flexible work model, a pension scheme, and access to learning budgets. The company values diversity and encourages applicants from all backgrounds.
Senior ML Engineer & Tech Lead (GenAI) in Bristol employer: Kaluza
Contact Detail:
Kaluza Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer & Tech Lead (GenAI) in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those using Python. This gives us a chance to demonstrate our expertise and creativity beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on common ML algorithms and their applications. We want to be ready to discuss how we can contribute to innovative solutions at the company.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in being part of the team.
We think you need these skills to ace Senior ML Engineer & Tech Lead (GenAI) in Bristol
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any ML/AI projects you've worked on. We want to see how you can bring innovative solutions to the table!
Be Yourself: We value diversity, so don’t hesitate to let your unique personality shine through in your application. Share your story and what makes you a great fit for our collaborative culture.
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that align with the responsibilities of a Senior ML Engineer & Tech Lead.
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 this exciting opportunity!
How to prepare for a job interview at Kaluza
✨Know Your ML Algorithms
Make sure you brush up on the latest machine learning algorithms and their applications. Be ready to discuss how you've implemented these in past projects, especially in the context of energy intelligence or similar fields.
✨Showcase Your Python Skills
Since Python is a key requirement, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges that involve ML concepts to show off your expertise.
✨Prepare for Team Dynamics
As a tech lead, you'll need to mentor others and foster collaboration. Think of examples where you've successfully led a team or resolved conflicts. This will highlight your leadership skills and ability to contribute to a positive culture.
✨Communicate Clearly and Confidently
Excellent communication is crucial for this role. Practice explaining complex ML concepts in simple terms, as you may need to convey ideas to non-technical stakeholders. This will demonstrate your ability to bridge the gap between tech and business.