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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 an impact by turning business challenges into effective 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 48000 - 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 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 Lead in Manchester
✨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, especially in tech.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects and MLOps practices. We recommend sharing it during interviews to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python, SQL, and PySpark. We suggest 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 are proactive about their job search.
We think you need these skills to ace Senior ML Engineer — Production ML & MLOps Lead 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 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 a strategic Lakehouse platform. Let us know what excites you about this role.
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 easiest way for us to keep track of 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 brush up on your Python, SQL, and PySpark skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to MLOps and production ML models.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've turned complex business problems into effective machine learning solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand MLOps Best Practices
Familiarise yourself with MLOps principles and be prepared to discuss how you would implement them in a hybrid working model. Think about how you can ensure smooth deployment and monitoring of ML models.
✨Engage with the Interviewers
Don’t forget that interviews are a two-way street! Prepare thoughtful questions about the company's strategic Lakehouse platform and their approach to machine learning. This shows your genuine interest and helps you assess if it’s the right fit for you.
