At a Glance
- Tasks: Develop and deploy machine learning models while ensuring their performance and scalability.
- Company: Join PureGym, a leading fitness group with a focus on innovation.
- Benefits: Enjoy a hybrid work setup, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with a dynamic team of Data Scientists and Engineers.
- Why this job: Make a real impact in the fitness industry by optimising data-driven solutions.
- Qualifications: Experience in machine learning and familiarity with MLOps practices.
The predicted salary is between 63000 - 77000 £ per year.
Pure Gym, a leading fitness group, is hiring a Machine Learning Engineer for its Data and Analytics Team in London.
The role blends hands-on development with production deployment, monitoring, and retraining of ML models in a hybrid work setup.
You will own the model lifecycle, build scalable pipelines, and collaborate with Data Scientists and Data Engineers to establish robust MLOps practices and reusable production components across the semantic layer.
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Machine Learning Engineer - MLOps & Production employer: PureGym
At PureGym, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that champions diversity and internal progression. Located in Leeds, our hybrid working model allows for flexibility, while our comprehensive benefits package, including free gym membership and generous leave policies, ensures our employees feel valued and supported in their professional growth. Join us to be part of a community that prioritises well-being and fosters a judgement-free environment, making every day at work a rewarding experience.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - MLOps & Production
✨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 PureGym!
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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 PureGym.
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We think you need these skills to ace Machine Learning Engineer - MLOps & Production
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 PureGym, 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 PureGym. 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 PureGym
✨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 PureGym!
✨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.
