Machine Learning Engineer (Relocation to London) @ Kaedim

Kaedim
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.