Computer Vision Engineer X 3

Adria Solutions
Cambridge, United Kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - Robotics & Perception

Jonathan Lee Recruitment Chetwynd Aston, Shropshire, United Kingdom
£45,000 – £55,000 pa On-site

Machine Learning Engineer - Robotics & Perception

Jonathan Lee Recruitment Tf109Er, United Kingdom
£45,000 – £55,000 pa On-site

Embedded Systems Engineer - AI innovation

Safran Llantarnam, Gwent, United Kingdom
On-site

Software Engineer

Technify Talent Limited Middleton, Lancashire, Lancashire, LA3 3LE, United Kingdom
£45,000 – £50,000 pa On-site

Software Developer (Python / TypeScript / Vue / C++)

Ernest Gordon Recruitment Lancaster, United Kingdom
Hybrid Clearance Required

Lecturer (Teaching) in IoT & System Engineering

UCL London, United Kingdom
£54 – £64 pa On-site
Posted
21 Mar 2026 (2 months ago)

Computer Vision Engineer - Near Cambridge

My Client is a specialist technology company scaling a real-time AI platform and is seeking a Computer Vision Engineers to own model deployment and optimisation in production environments.

Hands-on role focused on real-time computer vision, optimising models and video pipelines under performance and latency constraints. Close collaboration with systems engineers.

Essential Skills & Experience

Strong Python experience for ML and inference workflows

Hands-on experience with PyTorch

Solid grounding in computer vision fundamentals (object detection, tracking, classification)

Experience deploying models into production environments

Practical experience with video processing frameworks (e.g. GStreamer, FFmpeg)

Experience optimising inference performance on GPU or edge platforms

Desirable Experience

Edge AI or embedded GPU platforms

Real-time or multi-stream video pipelines

TensorRT, ONNX, or similar optimisation toolchains

Linux-based development environments

Containerised ML or inference deployments

Experience balancing model accuracy vs. inference speed in constrained environments

Profile Sought

Engineer who remains hands-on with models and code

Comfortable working outside of pure research environments

Pragmatic problem-solver who understands production trade-offs

Enjoys debugging complex, real-world systems

Clear communicator who documents work effectively

Interested? Please Click Apply Now!

Computer Vision Engineer - Near Cambridge

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Edge Computing Jobs in the UK (2026 Guide)

Where to advertise edge computing jobs UK in 2026: the specialist boards and channels that reach embedded, IoT, 5G MEC and edge AI engineering talent. Edge computing sits at the intersection of embedded systems, networking, cloud infrastructure and real-time data processing — and the professionals who specialise in it are a small, highly technical community not well served by general job boards. Candidates with genuine edge and IoT expertise are rarely browsing general platforms, and roles in this space are frequently misunderstood or miscategorised by non-specialist recruiters. This guide, published by EdgeComputingJobs.co.uk, covers where to advertise edge computing 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.

Edge Computing Jobs UK 2026: What to Expect Over the Next 3 Years

Edge Computing Jobs UK 2026: roles, salaries and the IoT, 5G and edge AI hiring trends shaping UK edge computing careers over the next three years. Edge computing is quietly becoming one of the most consequential technology shifts of the decade — and the jobs market is starting to reflect that. As the limitations of centralised cloud infrastructure become apparent across industries that require real-time processing, ultra-low latency, and data sovereignty, the demand for professionals who can design, build, and manage computing at the edge has moved from niche to mainstream. But the edge computing jobs market of 2026 is not yet the mature, well-defined landscape that cloud computing has become. It is still forming. New architectures are emerging, standards are being established, and the range of industries deploying edge infrastructure is expanding rapidly — from manufacturing and telecommunications to healthcare, retail, autonomous vehicles, and smart cities. That creates a particular kind of opportunity for job seekers: the chance to build deep expertise in a discipline that is growing faster than the talent pipeline serving it. The candidates who will thrive over the next three years are those who understand where edge computing is heading — which use cases are driving commercial deployment, which technologies are defining the architecture of distributed systems, and how the skills required to work at the edge differ meaningfully from those that served professionals well in centralised cloud environments. This article breaks down what the UK edge computing jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.