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

Apply Now

Senior Machine Learning Engineer

CATCHES
Manchester
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer (GenAI Algos)

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

CATCHES are a pre-seed start-up backed by some of the most influential names in luxury fashion globally. We've partnered with the global leaders in cloud computing and AI to integrate advanced 3D rendering, Artificial Intelligence (AI) and Visual Effects (VFX) techniques to create unparalleled shopping experiences for luxury fashion and exclusive events.


Working at CATCHES


  • Remote working with some in person collaboration (London)
  • Equity opportunity in pre-seed cutting edge tech firm with household name backers.
  • Highly collaborative and motivated team with depth and breadth of experience across Video Games, Films and Tech.


The role


A senior machine learning engineer role in our founding team working on company-wide initiatives across computer vision, preference learning and principal component analysis for 3D anthropometric data.


This would suit an ML expert seeking a high-level of ownership over key problem areas to apply their breadth of experience across Data, ML and AI.


Responsibilities


  • Build and implement ML models for data extraction.
  • Implement and optimise algorithms for anthropometric estimations
  • Build and implement domain specific learning systems
  • AI research


Requirements


  • Advanced proficiency in Python for developing and integrating machine learning solutions.
  • Strong knowledge of machine learning frameworks like PyTorch, TensorFlow, or similar.
  • Proficiency in creating and managing diverse datasets, including synthetic data generation and augmentation.
  • Familiarity with training machine learning models for real-world applications.
  • Experience in building APIs for internal or external use.
  • Computer Graphics: Understanding of fundamental concepts of 3D graphics such as rendering, mesh construction and the interpolation of lines and curves for accurate visual representation.

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.