National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Computer Vision Engineer

GEA
Belfast
1 year ago
Applications closed

Related Jobs

View all jobs

Computer Vision Engineer

Computer Vision Engineer

Computer Vision Engineer

Computer Vision Engineer

Computer Vision Software Engineer

Senior Computer Vision Engineer

Responsibilities / Tasks

Responsible for building and maintaining the mechanisms for running model inference.

Work with other teams to get new models from design to production as efficiently as possible.

Make technical decisions that balance performance and cost.

Contribute to best practices, design patterns and identifying opportunities to refactor code.

Collaborates across team to ensure the full video pipeline is efficient.

Maintaining the CI/CD pipeline to ensure rapid deployment of models.

Take an active role in building, maintaining the inference edge device along with the tools required to monitor it in the field.

Support other Vision Engineers in learning existing design concepts.

Maintain documentation to allow others to further develop inference components.

Innovation and Change:

Plays an active roles in team process improvements.

Creates and maintains mechanisms to deploy models across multiple deployment targets.

Work with the team lead to scope and refine data requirements and to influence technical decisions, from problem statement to delivered solution.

Works with internal stakeholders to ensures to makes sure new algorithm ideas get delivered into production.

Creates prototypes that help achieve business Objectives and Key Responsibilities (OKR’s).

Works with technical ops team to help on board and adapt farm installs where required.

Create new ways to run algorithms effectively.

Your Profile / Qualifications

Degree in Computer Science or related computer vision based discipline.

Experience taking models from creation to production.

Experience working with academic / researcher to convert ideas to products.

A comprehensive understanding of model inference.

Has worked with both cloud inference and edge inference devices.

Detailed knowledge of Python

Attention to detail.

Understanding of image and video processing.

Driven by high performance.

Eagerness to stay up to date with latest technologies.

National AI Awards 2025

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 Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.