Hybrid MLOps/Data Engineer for Platform & ML (London)

Hybrid MLOps/Data Engineer for Platform & ML (London)

Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
Fable Data

At a Glance

  • Tasks: Blend MLOps, data engineering, and data science in a dynamic role.
  • Company: Fable Data, a fast-paced scale-up in London.
  • Benefits: Salary of £45,000–£55,000 with hands-on experience.
  • Other info: Collaborate with senior engineers and advance your career.
  • Why this job: Grow your skills while working on exciting production pipelines.
  • Qualifications: 2+ years of data experience required.

The predicted salary is between 45000 - 55000 £ per year.

Fable Data in London is seeking a mid-level professional for a hybrid role that blends MLOps, data engineering and data science.

The position offers a salary of £45,000–£55,000 and requires 2+ years of combined data experience.

The role provides hands-on exposure to production pipelines and the chance to grow into product-facing data science work while collaborating with senior engineers in a fast-paced scale-up environment.

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Hybrid MLOps/Data Engineer for Platform & ML (London) employer: Fable Data

Fable Data is an exceptional employer that fosters a culture of continuous improvement and collaboration, making it an ideal place for aspiring data professionals. With a unique hybrid role that combines MLOps, data engineering, and data science, employees are empowered to take ownership of their work while receiving structured learning opportunities and mentorship from experienced leaders. Located in the UK, Fable offers competitive compensation reviews as your responsibilities grow, ensuring that your contributions are recognised and rewarded in a dynamic and fast-paced environment.

Fable Data

Contact Details:

Fable Data Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid MLOps/Data Engineer for Platform & ML (London)

Get Involved in Data Science Meetups

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Show Off Your Projects

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Leverage Professional Networks

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 Fable Data.

Apply Directly through Our Website

When you find a suitable opening like Hybrid MLOps/Data Engineer for Platform & ML (London) at Fable Data, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Hybrid MLOps/Data Engineer for Platform & ML (London)

Communication Skills
Python
Problem-Solving Skills
Data Engineering
SQL
Attention to Detail
Automation

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 Fable Data, 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 Fable Data. 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 Fable Data

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 Fable Data!

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.