At a Glance
- Tasks: Lead the development of AI systems, focusing on computer vision and data pipelines.
- Company: TellmeTellme enhances visitor experiences at attractions using cutting-edge AI technology.
- Benefits: Enjoy remote work flexibility, competitive salary, and equity options.
- Other info: Remote-first role with opportunities for travel and leadership growth.
- Why this job: Join a dynamic startup with growth potential and make a real impact in AI.
- Qualifications: Experience in computer vision, data pipelines, and MLOps is essential.
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) in Edinburgh employer: Tellme
At Tellme, we pride ourselves on being an innovative employer that fosters a collaborative and dynamic work culture. As a remote-first company, we offer flexibility and the chance to work on cutting-edge AI projects that enhance visitor experiences at renowned attractions. With ample opportunities for personal and professional growth, including the potential for leadership roles as we scale, joining our founding engineering team means being part of a mission-driven startup where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer | £50k–£70k + Equity | Remote (UK) in Edinburgh
✨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 will show your passion and expertise during any conversations.
✨Tip Number 2
Network with professionals in the AI and machine learning community. Attend meetups, webinars, or online forums where you can connect with others in the field. This could lead to valuable insights or even referrals for the position.
✨Tip Number 3
Prepare to discuss your experience with MLOps and cloud deployment. Be ready to share specific examples of how you've built or maintained AI infrastructure, as this is a key aspect of the role.
✨Tip Number 4
Show your enthusiasm for the company's mission by researching TellmeTellme's projects and partnerships. Being able to articulate why you're excited about their work will help you stand out as a candidate who truly aligns with their goals.
We think you need these skills to ace Machine Learning Engineer | £50k–£70k + Equity | Remote (UK) in Edinburgh
Some tips for your application 🫡
Understand the Role:Before applying, make sure to thoroughly understand the responsibilities and requirements of the Machine Learning Engineer position. Familiarise yourself with key concepts like computer vision, data pipelines, and MLOps, as these will be crucial in your application.
Tailor Your CV:Customise your CV to highlight relevant experience in AI, machine learning, and any specific technologies mentioned in the job description, such as CLIP, MobileNet, or AWS. Use clear examples to demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for AI and your interest in TellmeTellme. Mention how your background aligns with their mission and the specific projects they are working on. Be sure to express your enthusiasm for contributing to their growth.
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 position 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 expertise in the areas relevant to the role.
✨Understand the Company’s Vision
Research TellmeTellme's mission and recent projects, such as their work with Madame Tussauds. This knowledge will help you align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process when designing data pipelines or deploying models, as this will showcase your analytical skills and ability to think critically under pressure.
✨Emphasise Collaboration and Growth Mindset
Since you'll be working closely with the founder, highlight your teamwork experiences and willingness to learn. Discuss how you've contributed to team projects in the past and express your enthusiasm for taking on leadership roles as the company grows.
