At a Glance
- Tasks: Manage Databricks environments and enhance model deployment for a data science team.
- Company: Harnham, a leader in data science recruitment with a remote-first approach.
- Benefits: Competitive daily rates of £550 to £650 and fully remote work.
- Other info: 6-month contract with opportunities for growth in a fast-paced industry.
- Why this job: Join a dynamic team and shape the future of MLOps in a flexible environment.
- Qualifications: Extensive Databricks and MLOps experience, strong Python skills, and teamwork ability.
Harnham is looking for a Databricks-focused MLOps Engineer for a fully remote 6-month contract. The engineer will manage dedicated Databricks environments supporting an expanding data science team.
Responsibilities include:
- Enhancing model deployment and monitoring frameworks
- Ensuring performance and governance
- Advising on strategic MLOps practices
Ideal candidates will have:
- Extensive experience in Databricks and MLOps
- Strong Python skills
- The ability to work collaboratively across teams
Competitive rates of £550 to £650 per day are offered.
Databricks MLOps Engineer – Remote Production Lead in London employer: Harnham
Harnham is an exceptional employer that values innovation and collaboration, providing a fully remote work environment that fosters flexibility and work-life balance. With competitive daily rates and a strong focus on employee growth, Harnham encourages its team members to enhance their skills in cutting-edge technologies like Databricks, making it an ideal place for those seeking meaningful and rewarding employment in the data science field.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks MLOps Engineer – Remote Production Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and MLOps community. You never know who might have a lead on a Databricks role or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Databricks projects and MLOps implementations. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and MLOps best practices. Be ready to discuss how you've enhanced model deployment and monitoring frameworks in past roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills, so take advantage of it and get your application in!
We think you need these skills to ace Databricks MLOps Engineer – Remote Production Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks and MLOps. 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 the perfect fit for this role. We love seeing enthusiasm and a clear understanding of the responsibilities outlined in the job description.
Showcase Your Python Skills:Since strong Python skills are a must-have, consider including specific examples of how you've used Python in your previous roles. We want to know how you’ve tackled challenges and contributed to team success!
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 Harnham
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your experience with managing environments and enhancing model deployment. Having specific examples of past projects will show that you’re not just familiar with the platform, but that you can leverage it effectively.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain how you've used Python in your previous MLOps projects. Practising common Python tasks related to data science can give you an edge.
✨Collaborative Spirit is Key
This role requires working closely with various teams, so be ready to talk about your collaborative experiences. Share examples of how you’ve successfully worked with others to achieve a common goal, especially in a remote setting. Highlighting your communication skills will show that you can thrive in a team-oriented environment.
✨Understand MLOps Best Practices
Familiarise yourself with strategic MLOps practices and be prepared to discuss them. Think about how you can enhance performance and governance in model deployment. Showing that you have a solid grasp of MLOps principles will demonstrate your readiness to take on this role.
