Jack & Jill
Senior Machine Learning Scientist at Chattermill Analytics Limited
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Job Title
Senior Machine Learning Scientist
Salary
Not Disclosed
Company Description
Chattermill Analytics Limited is a Series B funded, AI-native customer experience intelligence platform based in London. They build proprietary NLP models that help global brands process and understand messy, real-world customer feedback at scale, moving beyond simple API wrapping to develop truly custom machine learning architectures and agentic systems.
Location
Remote, Europe
Job Description
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.
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.
Reasons to use Rodeo
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It searches the market for you
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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.
The ideal candidate
- 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.
Who are Jack & Jill?
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
How does this work?
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 it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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