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

Apply Now

Research Scientist / AI Engineer - London, UK/Hybrid Machine Learning · Main Office · Hybrid Remote

Odin Vision Ltd
London
1 year ago
Applications closed

Related Jobs

View all jobs

Computer Vision Engineer

Senior AI Research Scientist – Natural Language Processing

Principal AI Research Scientist – Natural Language Processing

Research Scientist, Machine Learning (PhD) London, UK • Software Engineering +1 more • Engineer[...]

Research Scientist, Machine Learning (Strategic Initiatives)

Research Scientist (Machine Learning)

Odin Vision is a multi-award winning company that provides state-of-the-art AI-enabled software applications for endoscopic procedures to aid clinicians in the detection and diagnosis of disease, supporting higher quality care, improved patient outcomes, and better value for healthcare payers.As a Research Scientist at Odin Vision, you will implement and maintain state-of-the-art industry practices for efficient and reproducible machine learning processes. You will work alongside researchers and engineering teams to ensure that the processes are practicable and integrate well into existing structures. You must be able to work well in a multi-disciplinary team and have strong communication skills. You should be familiar with state-of-the-art ML technology and software development methodologies and be able to work in a fast-paced, dynamic environment. You should have a passion for technology, healthcare, and improving the lives of others.This position is offered on a permanent basis.What you'll do:

Research and develop new AI technologies capable of positively impacting performance and efficiencyImprove ML processes, such as experiment tracking, data versioning, and model versioningApply analytical techniques for extracting insight from a variety of data sourcesPlan and maintain training infrastructureMonitor models in productionBuild, maintain, and monitor data pipelinesSupport evaluation/comparison of ML modelsQualifications:

Graduated from a computer science, software engineering, or related degree programExperience:

5+ years experience working in the industry or a PhD in a relevant fieldTechnical leadership with a range of technical abilities e.g. Data Engineering, Machine Learning, Cloud, DevOps & SoftwareGood theoretical understanding of machine learning, neural networks, and other computer vision topicsHands-on experience with Python and PyTorchHands-on experience with MLOps frameworks and platforms (We use ClearML!)Experience with additional programming languages and frameworks is a plusExperience working with cloud platforms (GCP, AWS, Azure)At Odin Vision, we believe that diversity is an important contributor to our success and long-term company goals. Diversity in our teams can contribute to innovations and creativity and increase our ability to cope with change. Odin Vision is committed to encouraging equality, diversity, and inclusion among our workforce, and eliminating unlawful discrimination. The aim is for our workforce to be truly representative of all sections of society and our customers, and for each employee to feel respected and able to give their best.Expected Compensation: The expected compensation range for this position is £55,000-£65,000 per annum.

Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match.#J-18808-LjbffrRemote working/work at home options are available for this role.

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.

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.

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.