Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Machine Learning Engineer | £50k–£70k + Equity | Remote (UK)

JR United Kingdom
Norwich
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Data Scientist

Machine Learning Engineer

Machine Learning Engineer (AI Platform)

Machine Learning Engineer (AI Platform)

Machine Learning Engineer (AI Platform)

Social network you want to login/join with:
Machine Learning Engineer | £50k–£70k + Equity | Remote (UK), norwich

col-narrow-left
Client:

Tellme
Location:

Job Category:

Other
-
EU work permit required:

Yes
col-narrow-right
Job Views:

7
Posted:

26.06.2025
Expiry Date:

10.08.2025
col-wide
Job Description:

About Tellme
Tellme is an AI-driven platform that enriches visitor experiences at attractions (museums, aquariums, heritage sites etc.). We use computer vision and generative AI to deliver interactive and personalised experiences straight to visitors' phones.
After successful pilots with Madame Tussauds and National Museums Wales, we have closed our pre-seed round and are now building a scalable platform for wider rollout. As we establish our founding engineering team, we’re hiring a Machine Learning Engineer to lead the development of our core AI systems.
What you’ll work on
Computer Vision:

You might come from a background in image embeddings and similarity-based approaches (e.g. CLIP, vector search), or from more traditional computer vision techniques like classification and object detection (e.g. MobileNet, YOLO). Either way, we’re looking for someone who can help our app understand what the visitor is looking at – reliably and at scale.
RAG Systems, Data Pipelines & Internal Agents:

You'll design the data pipelines that power our AI features, including retrieval-augmented generation (RAG), internal LLM-based tools, and content delivery workflows. Experience with vector stores, agent frameworks, or scalable data workflows is all relevant here.
MLOps & Deployment:

Build and maintain the infrastructure behind our AI stack – including serving models via APIs, monitoring performance, and deploying systems to the cloud. AWS is a plus, but experience with any major cloud platform is welcome. Experience working offline or on edge devices is also highly valuable.
Collaboration & Growth:

You’ll work closely with the founder on shaping the product roadmap, defining priorities, and making key technical decisions. As an early team member, there’s real opportunity to grow into a broader leadership role as the company scales.
Remote-first

(UK-based), with regular travel to partner sites. London or Belfast-based is a bonus, but not essential.
Compensation:

£50,000–£70,000 salary + share options (0–2%), depending on experience and preferred balance.
Start:

ASAP
We're early-stage, with plenty of room to grow — in scope, impact, and salary.
Interested?
If you’re passionate about AI and want to grow with an ambitious startup, get in touch. Even if you don’t tick every box, we’d still love to hear from you!

#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.

Automate Your AI Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

If you’re searching for AI jobs in 2025, you’re juggling dozens of tabs, scrolling endless feeds, & rewriting your CV for every application. It’s noisy, repetitive, & easy to miss the best roles. The fix is simple: build a lightweight automation stack that brings relevant roles to you, then use ChatGPT to triage, shortlist, & tailor applications in minutes. This guide shows you exactly how to do it. You’ll get copy-paste prompts, shareable Boolean strings, & practical workflows using Google Alerts, RSS, job boards, & ChatGPT. Set this up once & you’ll save hours every week—without losing quality or control.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.