At a Glance
- Tasks: Lead production ML models and work on impactful projects in the insurance sector.
- Company: Loop Recruitment, a forward-thinking company based in Manchester.
- Benefits: Hybrid work environment, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team focused on governance and scalability in ML.
- Why this job: Make a real impact in machine learning while influencing key decisions across teams.
- Qualifications: Strong background in ML, MLOps, and programming skills in Python, SQL, and PySpark.
The predicted salary is between 60000 - 80000 € per year.
Loop Recruitment is looking for a Senior Machine Learning Engineer in Manchester who will lead production ML models in a hybrid environment. The ideal candidate will possess a strong background in machine learning, MLOps, and programming in Python, SQL, and PySpark.
This role offers the opportunity to work on significant ML projects within the insurance sector, with a focus on governance and scalability. Candidates should be strong communicators and ready to influence decisions across teams.
Senior ML Engineer: Production ML on Databricks employer: Loop Recruitment
At Loop Recruitment, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Manchester location provides a vibrant environment where employees can thrive, with ample opportunities for professional growth and development in the rapidly evolving field of machine learning. Join us to work on impactful projects in the insurance sector while enjoying a supportive atmosphere that values your contributions and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer: Production ML on Databricks
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with ML and Databricks. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving MLOps and Python. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Be ready to explain complex concepts in simple terms, as you'll need to influence decisions across teams.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets 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 on Databricks
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with machine learning, MLOps, and programming languages like Python, SQL, and PySpark. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention your experience in production ML models and any relevant projects you've worked on, especially in the insurance sector. It helps us see why you’re the perfect fit!
Communicate Clearly:Since strong communication is key for this role, make sure your application reflects that. Use clear and concise language to explain your experiences and how you can influence decisions across teams. We love a good storyteller!
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. Let’s get started on this journey together!
How to prepare for a job interview at Loop Recruitment
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those relevant to production ML. Be ready to discuss your experience with MLOps and how you've implemented models in a hybrid environment. This will show that you’re not just familiar with the theory but have practical knowledge too.
✨Show Off Your Coding Skills
Since programming in Python, SQL, and PySpark is key for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous projects. Practising coding challenges beforehand can really help you feel more confident.
✨Communicate Clearly
As a Senior ML Engineer, you'll need to influence decisions across teams. Practice explaining complex ML concepts in simple terms. Think about how you can convey your ideas clearly and effectively, as strong communication is essential for this role.
✨Understand the Insurance Sector
Since this role focuses on significant ML projects within the insurance sector, do some research on how ML is being used in this field. Familiarise yourself with governance and scalability issues specific to insurance, so you can discuss how your skills can contribute to solving these challenges.
