Join a small, senior team to build and ship the next generation of NLP models. You will own the end-to-end pipeline, from training and fine-tuning custom transformer models to deploying production-ready agentic systems. This role is perfect for a scientist who wants to solve complex text-analysis problems using bespoke, high-performance solutions.
Senior Machine Learning Scientist at Chattermill Analytics Limited
Tired of wrapping third-party APIs? Based remotely in Europe, you will join a small, senior team to fine-tune custom LLMs, design agentic systems, and ship production-quality code that handles messy, real-world data. If you have deep PyTorch skills and an MSc/PhD in a relevant field, this is your chance to own the end-to-end ML pipeline.
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Location
Remote, Europe
Compensation
Not Disclosed
Company
Chattermill Analytics Limited
Role overview
Chattermill is an AI-native customer experience intelligence platform that unifies fragmented customer feedback and turns it into precise, actionable insights. It helps companies analyze feedback from surveys, online reviews, social media, support conversations, voice calls, and other touchpoints so teams can understand what customers want, improve retention and loyalty, and make more data-driven decisions.
What you will do
- Train, evaluate, and iterate on custom LLMs and transformer architectures using PyTorch, custom training loops, and parameter-efficient fine-tuning like LoRA.
- Build and maintain advanced retrieval pipelines, reranking systems, and data mining agents to extract insights from large-scale, messy customer feedback.
- Design robust evaluation frameworks and metrics to benchmark non-deterministic systems and automate model comparisons before shipping production-quality code to customers.
Who this is a fit for
- Holds an MSc or PhD in Machine Learning, Computer Science, or a related STEM field with deep expertise in modern transformer architectures.
- Possesses strong PyTorch skills, including the ability to write custom training loops and perform tensor-level debugging for production-grade NLP models.
- Has practical experience building and serving large-scale generative AI or agentic systems using frameworks such as vLLM, DeepSpeed, or PEFT techniques.
Why this role is remarkable
- Work on a proprietary ML stack involving extraction, retrieval, and summarization rather than just wrapping third-party APIs or basic LLM prompts.
- Join a high-performing Series B company where you have direct ownership over significant parts of the model pipeline and immediate product impact.
- Collaborate in an elite, senior environment with direct mentorship opportunities while exploring cutting-edge agentic and RAG architectures for customer intelligence.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Chattermill Analytics Limited wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.