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

Apply Now

Machine Learning Engineer (Relocation to London) @ Kaedim

Kaedim
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Databricks)

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

About the job

Hi there! My name is Konstantina, I’m the founder of Kaedim. The inspiration for starting Kaedim came back in 2019 when I took a 3D modelling and a 3D animation course at university while studying Computer Science. I remember thinking, “How hard can it be?” The answer turned out to be: very.

From trying to address my own frustration, fast forward four years later:

  • we are helping hundreds of game, product design, and e-commerce companies accelerate their 3D asset production pipelines in their daily work.
  • We are supporting one of the top 10 games of all times as well as the largest e-commerce platform.
  • we are profitable since 9 months post-launch
  • we have raised our Series A from tier 1 Silicon Valley investors

The problem we are working towards solving is incredibly hard, but it’s what makes our work unique and rewarding. We are building Kaedim one day at a time and looking for ambitious people to join our mission. If you're driven and ready to solve complex problems, Kaedim is the place for you!

Here is how we work: GitHub link.

Check out our recent demo and our website.

Please Note: The salary ranges provided above are specific to San Francisco. Below are the corresponding salary ranges for other locations, based on 0-5 years of experience:

  • London: £45k – £80k
  • Singapore: S$80k – S$145k


  • Must be eager to be involved with both AI and product dev.
  • Must have done this before, or be willing to learn fast.
  • Must be customer driven. We think customers first and so should you.
  • Must be driven to go above and beyond.
  • Must be able to explain and communicate clearly.
  • Must be able to work autonomously.
  • Must want to work hard.
  • Must be a strong communicator, capable of justifying decisions, proposing new ideas and explaining ML concepts to the rest of the team

Nice to haves

  • Experience with 3D modelling would be a big plus

About the job

Hi there! My name is Konstantina, I’m the founder of Kaedim. The inspiration for starting Kaedim came back in 2019 when I took a 3D modelling and a 3D animation course at university while studying Computer Science. I remember thinking, “How hard can it be?” The answer turned out to be: very.

From trying to address my own frustration, fast forward four years later:

  • we are helping hundreds of game, product design, and e-commerce companies accelerate their 3D asset production pipelines in their daily work.
  • We are supporting one of the top 10 games of all times as well as the largest e-commerce platform.
  • we are profitable since 9 months post-launch
  • we have raised our Series A from tier 1 Silicon Valley investors

The problem we are working towards solving is incredibly hard, but it’s what makes our work unique and rewarding. We are building Kaedim one day at a time and looking for ambitious people to join our mission. If you're driven and ready to solve complex problems, Kaedim is the place for you!

Here is how we work: GitHub link.

Check out our recent demo and our website.

Please Note: The salary ranges provided above are specific to San Francisco. Below are the corresponding salary ranges for other locations, based on 0-5 years of experience:

  • London: £45k – £80k
  • Singapore: S$80k – S$145k

,[Coming up with solutions to hard problems, Making proof of concepts, Coming up and implementing improvements on existing ML algorithms, Bringing other team members up to speed, Report on key ML-related KPIs, Iterate based on customer feedback] Requirements: AI, REST API

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.