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

Apply Now

Machine Learning Engineer

Staines
8 months 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

Job Title: Machine Learning Engineer (Computer Vision)

Location: Staines-upon-Thames, Surrey, UK

About the Role: We are seeking a talented and passionate Machine Learning Engineer with expertise in Computer Vision to join our innovative AI & Graphics team. This is a fantastic opportunity to work on next-generation mobile devices and push the boundaries of AI and content creation.

Key Responsibilities:

  • Explore and experiment with emerging technologies to enhance AI-driven content reconstruction, creation, and editing processes.

  • Review state-of-the-art computer vision research papers and develop prototype solutions.

  • Develop cutting-edge software and algorithms for computer vision, image processing, and deep learning models.

  • Take technical responsibility for significant sections of assigned projects.

  • Translate complex functional and technical requirements into detailed designs.

    Required Skills:

  • Master's or higher degree in Computer Science/Engineering or related disciplines.

  • Professional software development experience with C++ and Python.

  • Experience with machine learning frameworks such as TensorFlow and PyTorch.

  • Expertise in image-based 3D reconstruction techniques like Photogrammetry, Neural Radiance Fields (NERF), or Gaussian Splatting.

  • Excellent communication, teamwork, and problem-solving skills.

    Desirable Skills:

  • Experience in Generative AI and hands-on implementation of state-of-the-art models.

  • Knowledge of computational photography, image inpainting, and 3D vision.

  • Experience with model optimization and knowledge distillation.

  • Familiarity with computer graphics and rendering (OpenGL, Vulkan, DirectX).

  • Experience in Android application development.

    Why Join Us?

  • Work in a dynamic and forward-thinking environment.

  • Opportunity to solve industry-relevant problems and work in production environments.

  • Be part of a global leader in technology and innovation.

    How to Apply: If you are passionate about AI and computer vision and want to be part of a team that is shaping the future of technology, we would love to hear from you. Apply now and take the next step in your career

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 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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.