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

Apply Now

Principal AI Engineer (Face Recognition)

IC Resources
10 months ago
Applications closed

Related Jobs

View all jobs

Principal Machine Learning Engineer

Principal AI Research Scientist – Natural Language Processing

Principal Data Scientist - Healthcare

Principal Data Scientist - Healthcare

Principal Data Scientist - Healthcare

Principal Data Scientist - Healthcare

Principal AI Engineer

Fully remote from anywhere in the world, but you must have full working rights for where you reside

IC Resources is seeking a Principal AI Engineer to join our client’s innovative team developing advanced Edge AI solutions. This role offers an exciting opportunity to shape cutting-edge technologies in face recognition and computer vision for deployment on IoT edge devices. If you're a hands-on engineer with a strong leadership background and a passion for delivering impactful AI solutions, this could be the perfect next step for your career.

Primary Responsibilities:

  • Lead research and development of face recognition systems for Edge AI devices.
  • Monitor and optimise the performance of existing AI products, offering expert insights for further enhancements.
  • Stay updated on emerging trends and methodologies in Edge AI and deep learning to inform product development.
  • Collaborate with stakeholders to design and develop robust AI solutions tailored to customer needs.
  • Guide and mentor AI engineers, fostering capability growth within the team.
  • Take ownership of MLOps processes, ensuring effective lifecycle management and automation.

Essential Experience:

  • Degree in AI, Machine Learning, Computer Science, or a related field.
  • Minimum 5+ years of experience in face recognition systems for Edge AI devices, including deployment.
  • Proven expertise in designing, developing, and deploying deep learning models for IoT edge devices.
  • Python, TensorFlow, Keras, PyTorch.
  • Knowledge of MLOps, troubleshooting techniques, and performance benchmarking.

Desired Experience:

  • Background in mathematics, information theory, and probability.
  • Proficiency in C++ and experience with AWS.
  • Familiarity with Agile product development processes.

What’s On Offer:

  • ~£60-90k or the EURO equivalent.
  • Flexible working hours and fully remote arrangements.

How to Apply:

If you’re an experienced Principal AI Engineer ready to take on a challenging and impactful role, apply now for immediate consideration! Contact Chris Wyatt, Principal Recruitment Consultant, to learn more about this exciting opportunity.

 

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.

Jobs

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

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.