Machine Learning Engineer – Founding Team (Computer Vision / GenAI)

Brio Digital
London
3 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - LLM post-training/mid-training

Machine Learning Engineer - LLM post-training/mid-training

Machine Learning Engineer - LLM post-training/mid-training

Machine Learning Engineer - LLM post-training/mid-training

Machine Learning Engineer - LLM post-training/mid-training

Machine Learning Engineer - LLM post-training/mid-training

A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems.

What You’ll Work On:

Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet).

Design and implement pipelines that support retrieval-augmented generation, internal AI tools, and scalable content delivery. Experience with vector databases, agent frameworks, or data workflows is highly relevant.

Own model deployment pipelines, including API-based serving, monitoring, and cloud infrastructure (AWS preferred, but others welcome). Bonus points for edge/offline deployment experience.

Work directly with the founder on roadmap decisions, help shape technical direction, and grow into a potential leadership role as the team expands.

About You:

  • 2–5+ years of experience in ML/CV/GenAI
  • Proficiency in Python, ML frameworks, and cloud-based infrastructure
  • Product-focused mindset with a desire to shape early-stage tech
  • UK-based and open to occasional travel for testing and collaboration

Why Join:

  • Build something novel at the intersection of CV and GenAI
  • Be part of the founding team with real influence and equity
  • Work remotely with the flexibility to grow your role as we scale
  • Backed by strong early traction and funding

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesHigher Education

Referrals increase your chances of interviewing at Brio Digital by 2x

Sign in to set job alerts for “Machine Learning Engineer” roles.

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 8 hours ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

Machine Learning Scientists and Engineers: AI for Quantum

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 4 months ago

London, England, United Kingdom 5 months ago

Machine Learning Engineer - Search and Recommendation

London, England, United Kingdom 1 month ago

City Of London, England, United Kingdom £70,000.00-£75,000.00 2 days ago

London, England, United Kingdom 4 months ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom £50,000.00-£60,000.00 1 month ago

Associate (Data Scientist) - London, Wroclaw

Harrow, England, United Kingdom 12 hours ago

London, England, United Kingdom 1 day ago

Greater London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

Machine Learning Engineer for Game Technology

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 week ago

Machine Learning Engineer - Up to £150k + Equity

London, England, United Kingdom 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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 Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

🍪 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.