National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

La Fosse | Machine Learning Engineer (Data Engineering Background)

La Fosse
Newcastle upon Tyne
6 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Analyst

Data Analyst

Machine Learning Engineer (Data Engineering Background)


  • Paying up to £80,000 + 10% bonus
  • Remote first policy – Office in Central London if preferred
  • 2 stage interview process


One of La Fosse’s best clients who are an industry leader within the entertainment/ticketing space are currently hiring for a talented Machine Learning Engineer to join the team.


Even though this company are a global brand, you will be joining a small team of 5/6 (amongst a wider data team) and will have a lot of responsibility and play a leading role in rolling out their project plan, in which they have just launched this year across the UK and USA.


This is a pivotal time for the business, and you will help transform the data science/machine learning capabilities as they build a new cloud-based Data Platform. In this role you will predominantly be working as a machine leaning engineer but also helping maintain the existing data engineering pipelines so a background in data engineering is required.


Preferred Technical Experience:


  • Strong Data Engineering foundations, with experience with Python, SQL, Snowflake, Data Warehousing, PySpark.
  • Good understanding of traditional machine learning and a passion to develop in this area.
  • Strong cloud exposure using AWS.
  • Experience with MLOps would be beneficial.


Interview Process:


  • Introduction call with hiring manager + low level technical questions (1hr)
  • Final Interview with hiring manager & Head of Data + technical questions


If you’re interested in finding more about this role and feel you fit some of the requirements, apply through the AD to find out more!


Ben Carter –


Machine Learning Engineer (Data Engineering Background)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.