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

JR United Kingdom; Greater Manchester; Remote; GBP 50,000 - 70,000; Full time

Job summary

A leading AI startup is seeking a Machine Learning Engineer to develop innovative core AI systems focused on enhancing visitor experiences in attractions. The role emphasizes computer vision, data pipeline design, and MLOps. As an early-stage team member, you’ll have significant growth opportunities and a competitive salary package in a remote-first environment.

Qualifications

• Experience in image embeddings and similarity approaches.
• Familiarity with scalable data workflows.
• Knowledge of deploying models using APIs.

Responsibilities

• Lead the development of core AI systems.
• Design data pipelines for AI features.
• Build and maintain AI infrastructure.

Skills

Computer Vision

Data Pipelines

MLOps

Collaboration

Tools

AWS

Cloud Platforms

Job description

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

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Client:

Tellme

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

26.06.2025

Expiry Date:

10.08.2025

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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!