At a Glance
- Tasks: Lead the Databricks Lakehouse Platform and manage MLOps services with hands-on administration.
- Company: Join BSI, a forward-thinking company at the forefront of data and AI innovation.
- Benefits: Enjoy a hybrid work setup, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving impactful data solutions.
- Why this job: Shape the future of machine learning operations and collaborate with top data teams.
- Qualifications: Experience in Databricks, CI/CD pipelines, and strong leadership skills required.
The predicted salary is between 63000 - 77000 £ per year.
BSI is hiring a Platform Manager – Machine Learning Operations to oversee the Databricks Lakehouse Platform and MLOps services. The role requires hands-on Databricks administration, CI/CD pipelines, and governance across data and AI workflows.
You will lead incidents, changes, and supplier collaborations while shaping the platform roadmap. You will work in a hybrid setup with monthly in-office presence, coordinating with Data Engineering and Data Science teams to operationalize ML models.
ML Ops Platform Lead - Databricks & Lakehouse employer: BSI
BSI is an excellent employer for those passionate about the medical devices sector, offering a dynamic and inclusive work environment that fosters creativity and excellence. With opportunities for professional growth and development, employees can thrive while delivering impactful training solutions that enhance client performance. The remote nature of this role allows for flexibility, making it an ideal position for those seeking meaningful and rewarding employment in a supportive setting.
StudySmarter Expert Advice🤫
We think this is how you could land ML Ops Platform Lead - Databricks & Lakehouse
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like BSI!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like BSI.
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We think you need these skills to ace ML Ops Platform Lead - Databricks & Lakehouse
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at BSI, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at BSI. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at BSI
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at BSI!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
