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- Tasks: Build and maintain data pipelines for machine learning models using Azure and Databricks.
- Company: Data-focused company in Leeds with a commitment to inclusivity.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the data science field.
- Qualifications: Proficiency in Python and experience with deployment tools required.
- Other info: Collaborative environment with a focus on innovation and teamwork.
The predicted salary is between 30000 - 42000 £ per year.
A data-focused company in Leeds is looking for an experienced Machine Learning Engineer to join their new data science team. The role focuses on building and maintaining infrastructure for the entire data science lifecycle, from data ingestion to model deployment within Azure and Databricks. The engineer will work collaboratively with data scientists, automating the data pipeline and ensuring smooth production of models.
Required skills include proficiency in Python and experience with deployment tools. This position promotes an inclusive workplace.
Production ML Engineer: Azure & Databricks Pipelines in Leeds employer: SPG Resourcing
Contact Detail:
SPG Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production ML Engineer: Azure & Databricks Pipelines in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure and Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML engineering questions and practical scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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 Production ML Engineer: Azure & Databricks Pipelines in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant deployment tools. We want to see how your skills align with the role, so don’t be shy about showcasing your past projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background makes you a great fit for our data science team. Keep it engaging and personal.
Showcase Your Collaboration Skills: Since this role involves working closely with data scientists, mention any past experiences where you’ve collaborated on projects. We love to see teamwork in action, so share those stories!
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 from our team!
How to prepare for a job interview at SPG Resourcing
✨Know Your Tech Stack
Make sure you brush up on your Python skills and get familiar with Azure and Databricks. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the tech stack.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data scientists, be prepared to share examples of how you've successfully collaborated in previous roles. Highlight any experiences where you automated data pipelines or improved workflows together.
✨Prepare for Technical Questions
Expect some technical questions related to machine learning and data pipelines. Brush up on concepts like model deployment and data ingestion processes. Practising coding challenges can also help you feel more confident during the interview.
✨Emphasise Inclusivity
This company values an inclusive workplace, so be sure to express your commitment to diversity and teamwork. Share any experiences where you contributed to a positive team environment or supported colleagues from diverse backgrounds.
