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- Tasks: Lead the design and deployment of cutting-edge machine learning models.
- Company: Join a leading technology consulting firm with a focus on innovation.
- Benefits: Enjoy a discretionary bonus, private medical coverage, and flexible working.
- Why this job: Make a real impact by solving business problems with ML solutions.
- Qualifications: Strong skills in Python, SQL, and PySpark required.
- Other info: Work in a hybrid model with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology consulting firm is seeking a Senior Machine Learning Engineer to lead the design, build, and deployment of production machine learning models within a hybrid working model. This role involves establishing MLOps best practices and working on a strategic Lakehouse platform.
The ideal candidate will have strong skills in Python, SQL, and PySpark, as well as experience in turning business problems into effective ML solutions.
The position offers various benefits, including a discretionary bonus and private medical coverage.
Senior ML Engineer — Production ML & MLOps Lead 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 Lead
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities.
✨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.
✨Tip Number 3
Prepare for interviews by brushing up on MLOps best practices. We recommend practising common ML scenarios and being ready to discuss how you’d tackle real-world business problems.
✨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 are proactive!
We think you need these skills to ace Senior ML Engineer — Production ML & MLOps Lead
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 you've turned business problems into effective ML solutions, so don’t hold back on those examples!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for leading MLOps best practices and working on our strategic Lakehouse platform. Keep it engaging and personal.
Showcase Your Projects: If you’ve worked on any production ML models or MLOps projects, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!
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 Fruition Group
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and PySpark. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. Being able to articulate your experience with these tools will show that you're the right fit for the role.
✨Understand MLOps Best Practices
Since this role involves establishing MLOps best practices, do some research on current trends and methodologies. Be prepared to share your thoughts on how to implement these practices effectively in a production environment. This will demonstrate your proactive approach and expertise.
✨Showcase Problem-Solving Skills
Think of specific examples where you've turned business problems into effective ML solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you convey your thought process clearly and show how you can add value to their team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's strategic Lakehouse platform and their vision for ML deployment. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a win-win!
