At a Glance
- Tasks: Transition ML models from prototype to production and oversee the ML workflow.
- Company: Join Booksy's innovative Data Science & Applied AI team.
- Benefits: Enjoy a competitive salary, health cover, and generous holiday allowance.
- Other info: Ideal for those seeking a dynamic role in a growing field.
- Why this job: Work remotely and collaborate with Data Scientists on impactful projects.
- Qualifications: Strong Python and SQL skills, plus experience with GCP tools.
The predicted salary is between 60000 - 80000 £ per year.
Booksy is seeking a Senior ML / MLOps Engineer to join their Data Science & Applied AI team. The role is fully remote and involves collaborating closely with Data Scientists to transition ML models from prototype to production.
Responsibilities include overseeing the ML workflow and ensuring performance within SLAs.
Ideal candidates will have strong Python and SQL skills, experience with GCP tools, and a solid understanding of CI/CD processes.
This position offers competitive salary, health cover, and a generous holiday allowance.
Senior MLOps Engineer - Production ML & GenAI in London employer: Jaide Health
At Booksy, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a fully remote company, we offer our Senior MLOps Engineers the flexibility to work from anywhere while providing competitive salaries, comprehensive health coverage, and generous holiday allowances. We are committed to employee growth, offering opportunities for professional development and the chance to work with cutting-edge technologies in the field of Machine Learning and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior MLOps Engineer - Production ML & GenAI in London
✨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 Jaide Health!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior MLOps Engineer - Production ML & GenAI at Jaide Health.
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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 Jaide Health.
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We think you need these skills to ace Senior MLOps Engineer - Production ML & GenAI in London
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 Jaide Health, 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 Jaide Health. 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 Jaide Health
✨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 Jaide Health!
✨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.
