Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist/MLE

Wave Talent
London
1 year ago
Applications closed

Related Jobs

View all jobs

Sr Data Scientist (London)

Senior Pricing Data Scientist

Senior Machine Learning Engineer, Data for Embodied AI

Senior Machine Learning Engineer, Data for Embodied AI

Machine Learning Engineering Manager

Machine Learning Engineer

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.