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

JR United Kingdom; Ashton-under-Lyne; Remote; GBP 50,000 - 70,000; Full time

Job summary

A leading company in AI-driven visitor experiences is seeking a Machine Learning Engineer to join their founding engineering team. Candidates will design and develop AI systems focused on computer vision, data infrastructure, and MLOps, with opportunities for growth. This remote role in the UK offers a competitive salary of £50,000–£70,000 plus equity.

Qualifications

• Experience with image embeddings and similarity-based approaches.
• Background in classification and object detection techniques.
• Familiarity with AWS or any major cloud platform.

Responsibilities

• Lead the development of AI systems and understanding of visitor interaction.
• Design data pipelines for AI features including retrieval-augmented generation.
• Maintain AI infrastructure and deploy systems to the cloud.

Skills

Computer Vision

Data Pipelines

MLOps

Job description

Machine Learning Engineer | £50k–£70k + Equity | Remote (UK), ashton-under-lyne

Client:

Tellme

Location:

ashton-under-lyne, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

Job Views:

6

Posted:

26.06.2025

Expiry Date:

10.08.2025

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!

? Apply by directly emailing Eamon Byrne (Founder and CEO) at [e-mail]

Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit. Check our Blog for more information.

Bank or payment details should not be provided when applying for a job. Eurojobs.com is not responsible for any external website content. All applications should be made via the 'Apply now' button.

Created on 26/06/2025 by JR United Kingdom