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

Apply Now

Artificial Intelligence Engineer

FPSG
Glasgow
11 months ago
Applications closed

Related Jobs

View all jobs

Computer Vision and Artificial Intelligence Engineer - Summer Placement 2026

Computer Vision and Artificial Intelligence Engineer - Summer Placement 2026...

Machine Learning Research Engineer - Speech/Audio/Gen-AI - 6 Month Fixed Term Contract

Machine Learning Research Engineer - Speech/Audio/Gen-Ai - 6 Month Fixed Term Contract

Machine Learning Engineer

Machine Learning Engineer

AI with Computer Vision Engineer

Glasgow

Hybrid, (in Glasgow City office circa 3 days a week)


Do you have what it takes to be a high-performing AI / Computer Vision Engineer? If so, FPSG have got an exciting opportunity for you to join our client's computer vision team in Glasgow! They invest heavily in advanced technology research, to deliver exceptional solutions.


Your responsibilities will include:

  • Collaborate with diverse cross-functional teams to integrate AI algorithms onto our hardware platform.
  • Develop and optimize AI models for imaging and video understanding applications.
  • Contribute to the definition of inputs and outputs in collaboration with engineering teams for API development.
  • Implement and maintain code in C++ and Python.
  • Utilise OpenVINO and/or OpenCV for AI model deployment and optimisation.
  • Maintain version control of all module development.
  • Perform benchmarking and performance optimization for efficient inference on hardware.
  • Remain up to date with advancements in AI / computer vision, bring continuous improvement into play.
  • Understand environment performance constraints and test models that can operate within those constraints.
  • Follow agile development practices, including daily stand-up calls and regular sprints.
  • Document all work and decision-making processes.


To be successful in this role, you'll need experience in:

  • Strong in AI and deep learning techniques, with practical experience developing AI models in Computer Vision.
  • Advanced skills in C++andPython programming.
  • Proficiency with OpenVINO and/or OpenCV for AI model deployment and optimization.
  • Experience with GPU programming and parallel computing is a plus.
  • Ability to work with video, image, and data streams effectively.
  • An understanding of image processing and computer vision fundamentals.
  • Strong knowledge and practical experience with machine learning algorithms.
  • Desirable to have a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. A PhD in Image Processing and/or Machine Learning is highly prized.


  • Note: Hybrid working practices :Typically, 3 days a week in the Glasgow Office is normal practice, to encourage collaboration, growth and exposure to cross training.As a result, a commutable distance to Glasgow office is desired.
  • Note:With highly sensitive data, Security Clearance will be sought for applicants in this role
  • Note:At this time, the end client does not have provision for visa sponsorship


Reward

In return for your dedicated work, there is on offer a salary and package that's commensurate with your experience and in the upper quartile for the market. Training, and exposure to new tech will ensure your career development.

Join the team and be part of a company that's known for offering candidates a diverse range of project opportunities, where complexity and collaboration ensure continual personal and technical development.


Key skills

AI Engineer, Computer Vision Engineer, C++, Python, OpenCV, OpenVino, Linux, Windows, deep learning models, Computer vision, Docker, version control, Image Processing, Machine Learning, Video Streaming, CI/CD, Jenkins, Gitlab, PostgresSQL, MySQL, SQL, RESTful API, Bash

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.