Research Engineer

Robert Walters
London
9 months ago
Applications closed

Related Jobs

View all jobs

Research Engineer, Machine Learning - Paris/London/Zurich/Warsaw

NLP/LLM Research Engineer — Prototyping Cutting-Edge AI (Hybrid)

Senior Data Research Engineer Computer Vision

Senior Machine Learning Engineer - Research

Machine Learning Researcher

Machine Learning Researcher

Research Engineer (OK2Q6G-1416C069) London, England

Salary: GBP50000 - GBP120000 per annum

Our client is on a mission to revolutionise the built environment with their cutting-edge 3D reconstruction and scene understanding system. They are seeking a Research Engineer with a strong background in computer vision, geometry processing, computer graphics, and machine learning. This role offers an exciting opportunity to work on challenging problems, develop innovative solutions, and see your contributions become integral parts of a disruptive technology-focused business.

What youll do:

  • Research and develop algorithms that capture, process, and manipulate image and 3D data.
  • Collaborate with software engineers to create production-quality, robust code for industrial-scale use.
  • Maintain, improve, and optimise algorithms to enhance performance and efficiency.
  • Stay updated with the latest technologies and research in computer vision, computer graphics, and machine learning.
  • Communicate the latest advances to the wider team when they should be applied to our data.
  • Work closely with the team to ensure the successful implementation of developed solutions.

What you bring:

  • Masters in Machine Learning/Computer Vision/Geometry Processing or related mathematical disciplines.
  • 1-2 years experience developing computer vision algorithms that process image and 3D data.
  • Experience with at least one of our core areas: Deep Learning (CNNs, GANs, RNNs, transfer learning), 3D Reconstruction (stereo, bundle adjustment, SLAM), Geometry Processing (meshing, parameterisation, approximation), Computational Photography (image enhancement, denoising).
  • Strong programming skills in Python and/or Modern C++.
  • Experience with libraries such OpenCV, Open3D, Tensorflow, PyTorch.
  • Ambition and a hunger for growth and development.
  • Can provide examples of projects that demonstrate your skills.

J-18808-Ljbffr

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 Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

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

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.