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- Tasks: Lead the design and deployment of ML models on a cutting-edge Lakehouse platform.
- Company: Modern tech firm in the UK with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and comprehensive benefits.
- Why this job: Shape the future of ML with impactful projects and best practices.
- Qualifications: Degree in STEM, strong Python, SQL, PySpark skills, and great communication.
- Other info: Join a dynamic team with opportunities for growth and development.
The predicted salary is between 43200 - 72000 £ per year.
A modern technology firm in the UK is seeking a Machine Learning Engineer to lead the design and deployment of production ML models on a strategic Lakehouse platform. You will establish MLOps best practices, develop automated model validation tests, and ensure model performance and reliability.
The ideal candidate holds a degree in a STEM field, has strong skills in Python, SQL, and PySpark, and excels in stakeholder communication. This role offers a hybrid working model and various benefits.
Senior ML Engineer - Production ML & MLOps on Lakehouse in Manchester employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Production ML & MLOps on Lakehouse in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Python, SQL, and PySpark. 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 MLOps best practices and automated model validation tests. Be ready to discuss how you've ensured model performance and reliability in past projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get your application noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Engineer - Production ML & MLOps on Lakehouse in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and PySpark. 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 MLOps and how you can contribute to our Lakehouse platform. Keep it engaging and personal – we love to see your personality!
Showcase Your Communication Skills: Since stakeholder communication is key for this role, make sure to highlight any experiences where you’ve successfully collaborated with others. We’re looking for clear and effective communicators who can bridge the gap between tech and non-tech teams.
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 Fruition Group
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and PySpark skills. Be ready to discuss how you've used these technologies in past projects, especially in relation to MLOps and production ML models.
✨Showcase Your MLOps Knowledge
Prepare to talk about MLOps best practices and how you've implemented them in previous roles. Think of specific examples where you developed automated model validation tests or improved model performance.
✨Communicate Like a Pro
Since stakeholder communication is key, practice explaining complex technical concepts in simple terms. You might be asked to describe your work to someone without a technical background, so clarity is crucial.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company's approach to Lakehouse architecture or how they measure model reliability. This shows your genuine interest in the role and the company.
