Data Scientist/MLE

Wave Talent
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Data Science Lead

A very well-funded AI start-up, with presence across Europe, US and the Middle East, is looking for multiple Data Scientists and Machine Learning Engineers.


Having just raised one of the largest Series A funding rounds in the sector, they are looking to grow rapidly, building multiple new product development teams (circa 30 new hires across Data & Engineering).


*prioritising Senior and Principal level hires first, but will also be hiring for less senior roles soon so please feel free to apply if you're currently a mid level engineer, particularly if you're MSc or PhD educated.


Salaries(the more you ask for, the more you'll have to impress them):

  • Principals - up to £160k
  • Seniors - up to £115k
  • Mids - up to £80k


Location:Old Street (3-4 office days/week)


✅ Must have requirements:

  • Expert level Python and SQL
  • Strong cloud expertise - ideally AWS
  • Experience designing and building Data Science/Machine Learning solutions and deploying them into production, at scale
  • Great written and verbal communication skills


Bonus points for:

  • Mastery of Python for both software engineering and data science purposes - i.e. being able to write high quality, production-grade code
  • Proficiency in C++
  • Having worked in a rapidly growing, product-focused start-up
  • Strong academic pedigree (MSc or PhD) in a related field
  • Exposure to geospatial data sets
  • Understanding of consumer behaviour and operational decision data
  • Experience in optimisation and simulation

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.