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

Tellme; Leeds; Remote; GBP 50,000 - 70,000; Full time

Job summary

Join an ambitious startup as a Machine Learning Engineer, focusing on AI systems for enhancing visitor experiences in various attractions. This remote role requires strong expertise in computer vision and data pipelines, with significant growth potential in a thriving company. With a competitive salary of £50k–£70k plus equity, this position offers the chance to shape product direction alongside the founder.

Qualifications

• Experience with image embeddings, classification, and object detection.
• Familiarity with RAG systems and internal LLM-based tools.
• Background in deploying models to cloud environments.

Responsibilities

• Lead development of core AI systems ensuring scalable computer vision applications.
• Design data pipelines to facilitate AI features and workflows.
• Maintain infrastructure for AI model deployment and performance monitoring.

Skills

Computer Vision

Data Pipelines

MLOps

Cloud Platforms

Job description

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

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]

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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