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Senior Machine Learning Scientist
🌍 UK (Remote or Hybrid, it’s up to you!)
💰 Dependent on experience
📈 Be part of our success with the opportunity to join our company equity scheme
Our Perks
❤️ Monthly Health & Wellness budget, increasing with length of service
📚 Annual Learning and Development budget, increasing with length of service
🤸🏽 Flexible working in a choice-first environment - we trust the way you want to work!
🖥️ Work From Home Allowance
🌴 25 Holiday Days + your local bank holidays, plus an extra day for every year of service
🎂 Your birthday off
🍼 Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave
⚕️ Optional Healthcare Plan
🛟 Life & income protection (Location dependent)
🤝 Employee Assistance Programme (UK Only)
📈 The opportunity to share in the company’s success through options
🌆 If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace
The Role
Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next.
We're hiring a Senior Machine Learning Scientist to join the team and help build and ship the next generation of that stack.
👉 What you'll be doing:
Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all.
This means you will:
🧰 What you’ll need:
➕It would be a bonus if you:
🔎 Our Hiring Process
💖 Our Values
🌈 Diversity & Inclusion 🌈
We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply!
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