At a Glance
- Tasks: Lead the development of AI systems, focusing on computer vision and data pipelines.
- Company: Join Tellme, an innovative AI platform enhancing visitor experiences at attractions across the UK.
- Benefits: Enjoy remote work flexibility, competitive salary, equity options, and growth opportunities.
- Other info: Remote-first role with potential for leadership growth; apply directly to the founder!
- Why this job: Be part of a pioneering team shaping the future of interactive experiences in a dynamic startup culture.
- Qualifications: Experience in computer vision, data pipelines, and MLOps; cloud platform knowledge is a plus.
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 Aberdeen employer: Tellme
At Tellme, we pride ourselves on being an innovative employer that fosters a collaborative and dynamic work culture. As a Machine Learning Engineer, you'll have the unique opportunity to shape cutting-edge AI solutions while enjoying the flexibility of remote work within the UK. With a focus on employee growth and the chance to take on leadership roles as we scale, joining our team means being part of a forward-thinking startup that values your contributions and offers competitive compensation, including equity options.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer | £50k–£70k + Equity | Remote (UK) in Aberdeen
✨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 to discuss your vision for the future of AI in visitor experiences. Having a clear perspective on how technology can enhance user engagement will demonstrate your passion and strategic thinking.
We think you need these skills to ace Machine Learning Engineer | £50k–£70k + Equity | Remote (UK) in Aberdeen
Some tips for your application 🫡
Understand the Role:Before applying, make sure to thoroughly read the job description for the Machine Learning Engineer position. Familiarise yourself with the specific skills and technologies mentioned, such as computer vision techniques and MLOps.
Tailor Your CV:Customise your CV to highlight relevant experience in machine learning, particularly in areas like image embeddings, data pipelines, and cloud deployment. Use keywords from the job description to ensure your application stands out.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for AI and your understanding of TellmeTellme's mission. Mention any relevant projects or experiences that align with their focus on enhancing visitor experiences through technology.
Follow Up:After submitting your application via email, consider sending a polite follow-up message after a week or so. This shows your enthusiasm for the role and keeps you on their radar.
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 capability to contribute 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 your genuine interest in the company.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills, especially related to data pipelines and MLOps. Practice explaining your thought process clearly, as this will showcase your analytical abilities and how you approach challenges.
✨Emphasise Collaboration and Growth Mindset
Since you'll be working closely with the founder, highlight your teamwork experiences and willingness to take on leadership roles. Discuss how you can contribute to shaping the product roadmap and your enthusiasm for growing with the company.
