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

Apply Now

Freelance - Senior ML Vision Engineer

Amicus
Bristol
9 months ago
Applications closed

Related Jobs

View all jobs

Data Science Editor

Data Science Editor

We’re urgently looking for an experienced Senior Computer Vision ML Engineer for a fixed-term 6-month contract with an industry-leading AR/ML scale-up in the retail sector. This role is perfect for a contractor eager to work on cutting-edge computer vision and spatial machine learning models in a commercial setting.


Position Details:

  • Start Date: Immediate
  • Location: Remote (UK Based)
  • Duration: Initial 6 months
  • Workload: Full-time
  • Rate: Competitive – Outside IR35


What You’ll Be Doing:

  • Working with state-of-the-art computer vision models in a commercial setting.
  • Developing and optimizing spatial machine learning models to improve AR/VR applications.
  • Contributing to 3D vision model development for store planning, marketing, and merchandising.
  • Collaborating with a globally distributed team to enhance real-world applications in retail and customer engagement.


Key Requirements:

  • Strong experience in computer vision and machine learning models in a commercial environment.
  • Expertise in spatial machine learning models and 3D vision models (ideal but not mandatory).
  • Strong research and education background in Computer Vision, ML, or AI.


If you’re interested in this opportunity, please send me your latest CV and the best contact number.

Email:

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.