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- Tasks: Lead the development of AI systems, focusing on computer vision and data pipelines.
- Company: Tellme is an innovative AI platform enhancing visitor experiences at attractions across the UK.
- Benefits: Enjoy remote work flexibility, competitive salary, and equity options.
- Why this job: Join a dynamic startup with growth potential and make a real impact in the AI space.
- Qualifications: Experience in machine learning, computer vision, and cloud platforms is essential.
- Other info: This role offers a chance to shape the product roadmap and grow into leadership.
The predicted salary is between 40000 - 60000 £ per year.
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.
Role details
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 eamon.byrne@tell-me.ai
Machine Learning Engineer | £50k-£70k + Equity | Remote (UK) employer: Tellme
Contact Detail:
Tellme Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer | £50k-£70k + Equity | Remote (UK)
✨Tip Number 1
Familiarise yourself with the latest trends in computer vision and generative AI. Being able to discuss recent advancements or projects you've worked on in these areas can really set you apart during conversations.
✨Tip Number 2
Showcase your experience with data pipelines and MLOps. Be prepared to share specific examples of how you've designed or optimised data workflows, as this is crucial for the role.
✨Tip Number 3
Network with professionals in the AI and machine learning community. Engaging with others in the field can provide insights into the company culture and may even lead to referrals.
✨Tip Number 4
Prepare thoughtful questions about the company's vision and product roadmap. This shows your genuine interest in the role and helps you understand how you can contribute to their growth.
We think you need these skills to ace Machine Learning Engineer | £50k-£70k + Equity | Remote (UK)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Machine Learning Engineer position. Familiarise yourself with key concepts like computer vision, data pipelines, and MLOps to tailor your application effectively.
Tailor Your CV: Highlight relevant experience in machine learning, particularly in computer vision and AI systems. Use specific examples from your past work that demonstrate your skills in image embeddings, data workflows, and cloud deployment.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your interest in Tellme. Mention how your background aligns with their mission to enhance visitor experiences and express your enthusiasm for contributing to an early-stage startup.
Follow Up: After submitting your application via email, consider sending a polite follow-up message after a week or so. This shows your continued interest in the role and can help keep your application top of mind for the hiring team.
How to prepare for a job interview at Tellme
✨Showcase Your Technical Skills
Be prepared to discuss your experience with computer vision techniques and machine learning frameworks. Highlight specific projects where you've implemented image embeddings or classification methods, as this will demonstrate your technical expertise relevant to the role.
✨Understand the Company’s Vision
Research Tellme's mission and recent projects, such as their work with Madame Tussauds. This knowledge will allow you to align your answers with their goals and show genuine interest in contributing to their innovative platform.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice explaining your thought process when designing data pipelines or deploying models. This will showcase your problem-solving skills and ability to think critically under pressure.
✨Emphasise Collaboration and Growth Mindset
As an early team member, your ability to collaborate and adapt is crucial. Share examples of how you've worked in teams to shape product roadmaps or make technical decisions, and express your enthusiasm for growing within the company.