---
title: 'Senior Machine Learning Scientist at Chattermill Analytics Limited'
canonical: 'https://feeny.ai/job/senior-machine-learning-scientist-chattermill-analytics-limited-united-kingdom-2jarnhsm4xgd'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Machine Learning Scientist at Chattermill Analytics Limited

- **Company:** Chattermill Analytics Limited
- **Location:** United Kingdom
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-04-08
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/chattermill/da53a1de-a022-436e-b7b1-37814a33ca75

## Job description

Senior Machine Learning Scientist

🌍 UK or Poland (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:

- Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire.
- Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation.
- Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons.
- Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods.
- Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring.
- Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking.
- Mentor team members, review code and research, and bring relevant advances from the literature into the product.

🧰 What you’ll need:

- A deep working knowledge of transformer architectures.
- Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRA
- Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search.
- Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools
- A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution.
- Practical experience building with GenAI and agentic patterns.
- Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!).
- Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology.
- High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward.

➕It would be a bonus if you:

- MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field.
- Experience with reinforcement learning techniques, such as with verifiable reward (RLVR)

🔎 Our Hiring Process

1. Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step.
2. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience.
3. Show us how you work – you'll complete a short take home assignment
4. Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams.
5. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth.

💖 Our Values

- We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach.
- We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust.
- We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us.
- We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively.
- We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly.
- We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today!

🌈 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!

#machinelearning #machinelearningscientist #seniormachinelearningscientist #datascience #deeplearning #LLM #ML #data #AI #PyTorch

## About Chattermill Analytics Limited

## Company Overview
- **One-liner**: Chattermill is an AI-native customer experience intelligence platform that unifies fragmented customer feedback and surfaces actionable insights. [chattermill.com](https://chattermill.com/)
- **Entity Type**: Private – Series B funded (total funding $38.1M) [LinkedIn](https://uk.linkedin.com/company/chattermill)
- **Headquarters**: London, United Kingdom [LinkedIn](https://uk.linkedin.com/company/chattermill)
- **Founded**: 2015 [Crunchbase](https://www.crunchbase.com/organization/chattermill)
- **Founders**: Dmitry Isupov (CEO & Co-founder) and Mikhail Dubov (Chief Strategy & Insights Officer and Co-founder) [chattermill.com/about](https://chattermill.com/about)

## Core Business
- **Primary industry**: Customer Experience (CX) Analytics / Voice of Customer (VOC) Software / AI-driven Feedback Analysis
- **Target customers**: B2B – Customer Experience teams, Product & UX teams, Support & Operations teams at fast-growing brands and established enterprises [chattermill.com](https://chattermill.com/)
- **Mission**: “To empower teams to see their customer reality” and help businesses turn every piece of feedback into insights that influence their most important metrics. [chattermill.com/about](https://chattermill.com/about)

## Products & Services
- **Lyra AI**: Cutting-edge AI agent that delivers strategic and precision insights, allowing users to ask questions in natural language and get answers backed by customer quotes. [chattermill.com](https://chattermill.com/)
- **Chattermill MCP**: Enables querying, analyzing, and acting on feedback directly from AI assistants like Claude and ChatGPT. [chattermill.com](https://chattermill.com/)
- **Feedback Unification Platform**: Centralizes feedback from surveys (Qualtrics, etc.), support tickets (Zendesk, Intercom), online reviews (Trustpilot), social media, and voice call transcripts into one view. [chattermill.com](https://chattermill.com/)
- **Automated Alerting & Integrations**: Slack alerts for metric changes, auto-creation of Jira tickets with customer quotes, and 50+ native integrations plus an API/MCP for custom connections. [chattermill.com](https://chattermill.com/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metrics**: 
  - Annual Revenue: $3.5M (LinkedIn estimate) [LinkedIn](https://uk.linkedin.com/company/chattermill)
  - Total Funding: $38.1M across 5 rounds [Crunchbase](https://www.crunchbase.com/organization/chattermill)
  - Series B (Dec 2022): $26M led by Beringea, with participation from DN Capital and others [LinkedIn](https://uk.linkedin.com/company/chattermill)
- **Notable Investors/Partners**: DN Capital (led Series A), Beringea (led Series B), Entrepreneurs First, Avonmore Developments [LinkedIn](https://uk.linkedin.com/company/chattermill)
- **Growth Signals**: Used by Uber, HelloFresh, Wise, and other customer-centric companies; operates in 11 countries; headcount of 63 employees (though -2.7% YoY); active job postings up 300% year-over-year. [chattermill.com/about](https://chattermill.com/about) [LinkedIn](https://uk.linkedin.com/company/chattermill)

## Competitive Advantages
- **AI-native deep learning**: Originally built on deep learning to automate manual CX analysis, now extends to agentic AI (Lyra, MCP). [chattermill.com](https://chattermill.com/)
- **Unmatched accuracy and precision**: Lyra AI claimed to deliver “strategic and precision insights with unmatched accuracy.” [chattermill.com](https://chattermill.com/)
- **Enterprise-grade security**: SOC2 Type II and ISO 27001:2022 certified; fully GDPR and CCPA compliant. [chattermill.com](https://chattermill.com/)
- **No per-user pricing**: Unlimited users included, encouraging organization-wide adoption. [chattermill.com](https://chattermill.com/)
- **Broad integration ecosystem**: 50+ native connectors plus MCP server for AI agent interoperability. [chattermill.com](https://chattermill.com/)

## Strategic Focus
- **Current priorities**: Scaling AI analysis to process over a billion pieces of feedback for clients by 2027; deepening agentic capabilities (MCP, Lyra copilot); expanding integrations and enterprise adoption. [chattermill.com](https://chattermill.com/)
- **Direction for growth**: Continue to be “the single source of customer truth” and align CX insights directly with business goals across all teams. [chattermill.com](https://chattermill.com/)

## Why Work Here
- **Culture highlights**: Values include “Learn & Develop,” “Grow With Us,” “Work Flex,” “Family,” and “Take Care.” Emphasis on career progression and working with “other A-players.” [chattermill.com/careers](https://chattermill.com/careers)
- **Remote/hybrid policy**: Remote-first environment with a “very fun office in London” for those who want to go in. [chattermill.com/careers](https://chattermill.com/careers)
- **Notable perks**:
  - Yearly learning & development budget that increases with tenure
  - Stock options to share in company success
  - 25 days holiday plus public holidays (extra day each year of service)
  - Monthly health & wellness allowance (increases with tenure)
  - Work-from-home allowance for home office setup
  - Enhanced parental leave, neonatal leave, and fertility support
  - Open roles include Senior Machine Learning Scientist, Senior Backend Engineer, Senior Data Scientist, and XLG Programme Manager [LinkedIn](https://uk.linkedin.com/company/chattermill)
- **Engineering culture**: Technical team of 16 (22% of workforce) plus 8 in Research (11%), suggesting strong investment in AI/ML. [LinkedIn](https://uk.linkedin.com/company/chattermill)

## Sources
1. [chattermill.com](https://chattermill.com/) – Official product and feature descriptions
2. [chattermill.com/about](https://chattermill.com/about) – Company history, founders, mission, investors
3. [chattermill.com/careers](https://chattermill.com/careers) – Culture, values, perks, open roles
4. [LinkedIn](https://uk.linkedin.com/company/chattermill) – Employee count, revenue, funding rounds, headcount breakdown
5. [Crunchbase](https://www.crunchbase.com/organization/chattermill) – Legal name, founding date, contact info

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