Hybrid UK Data & ML Platform Engineer in London

Hybrid UK Data & ML Platform Engineer in London

London Full-Time 50000 - 65000 £ / year (est.) Home office (partial)
TEKEVER

At a Glance

  • Tasks: Design and maintain data processing pipelines and machine learning workflows.
  • Company: Join TEKEVER, a mission-driven tech company focused on innovation.
  • Benefits: Competitive salary, bonus structure, 25 days annual leave, and comprehensive benefits.
  • Other info: Enjoy a hybrid working model with great career growth opportunities.
  • Why this job: Work at the cutting edge of data engineering and MLOps in a dynamic environment.
  • Qualifications: Experience in data engineering and machine learning workflows.

The predicted salary is between 50000 - 65000 £ per year.

TEKEVER is seeking a Data & ML Platform Engineer to design and maintain robust data processing pipelines and machine learning workflows. The successful candidate will work at the intersection of data engineering and MLOps, focusing on scalability and efficiency.

With a highly competitive salary, a bonus structure, and comprehensive benefits including 25 days of annual leave, TEKEVER offers a dynamic and mission-driven work environment. A hybrid working model is supported, typically three days a week at core UK sites.

Hybrid UK Data & ML Platform Engineer in London employer: TEKEVER

TEKEVER is an exceptional employer that fosters a dynamic and mission-driven work environment, perfect for those passionate about data engineering and machine learning. With a competitive salary, a generous bonus structure, and comprehensive benefits including 25 days of annual leave, employees enjoy a healthy work-life balance through a supportive hybrid working model. The company prioritises employee growth and development, making it an ideal place for professionals looking to advance their careers in the tech industry.

TEKEVER

Contact Details:

TEKEVER Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid UK Data & ML Platform Engineer 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 TEKEVER!

Show Off Your Projects

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 Hybrid UK Data & ML Platform Engineer at TEKEVER.

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 TEKEVER.

Apply Directly through Our Website

When you find a suitable opening like Hybrid UK Data & ML Platform Engineer at TEKEVER, 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 UK Data & ML Platform Engineer in London

Python
SQL
Problem-Solving Skills
Data Engineering
Data Pipeline Development
API Integration
ETL/ELT Processes

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 TEKEVER, 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 TEKEVER. 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 TEKEVER

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 TEKEVER!

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.