Research Engineer

Robert Walters
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior RF Data Scientist / Research Engineer

Data Engineer

AI Platform Engineer (DevOps / MLOps Focus)

Computer Vision Engineer X 3

Machine Learning Engineer (Forward Deployed)

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 Good

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.