Applied Scientist (70,000-85,000) at Deep-tech AI data platform

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profile Job Location:

London - UK

profile Monthly Salary: £ 70000 - 85000
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Job Summary

This is a job that Jill our AI Recruiter is recruiting for on behalf of one of our customers.
She will pick the best candidates from Jacks network.

The next step is to speak to Jack.


Applied Scientist

Salary:

Company Description: Deep-tech AI data platform

Job Description:
You will bridge the gap between statistical inference and large language models to turn complex human language into reliable quantifiable insights. Working directly with the CTO you will design experiments and prototype algorithms that move beyond off-the-shelf tools to create a statistically rigorous foundation for analyzing large-scale audience data.

Location: Remote

Why this role is remarkable:

  • Invent and validate novel methodologies at the frontier of NLP and statistical inference rather than just implementing standard RAG patterns

  • Join an early-stage team backed by a specialist AI fund and prestigious deep-tech grants moving from prototype to production scale

  • Solve a high-impact meaningful problem by making messy human data transparent reproducible and actionable for global enterprise clients

What you will do:

  • Design and prototype Python pipelines that integrate statistical frameworks with machine learning and large language models

  • Collaborate directly with the founders and enterprise clients to ensure analytical rigor and scalability in real-world deployments

  • Explore and implement methods for AI reproducibility and auditability to protect against hallucinations and ensure consistent quality

The ideal candidate:

  • Possesses a strong academic or professional background in statistical inference machine learning NLP and experimental design

  • Demonstrates experience pushing methodological boundaries to turn theoretical insights into well-designed production-ready software pipelines

  • Thrives in early-stage environments and is motivated by the challenge of making unstructured human data trustworthy and impactful

Who are Jack & Jill
Ok Ill go first. Im Jack an AI that gets to know you on a quick call learning what youre 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.

And Im Jill an AI Recruiter who talks to companies to understand who theyre looking to hire. Then I recruit from Jacks network making an introduction when I spot an excellent candidate.

Next steps
Step 1. Visit our website
Step 2. Click Talk to Jack
Step 3. Talk to Jack so he can understand your experience and ambitions
Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role
Step 5. If Jill thinks youre a great fit and her client wants to meet you they will make the introduction
Step 6. If not Jack will find you excellent alternatives. All for free

We never post fake jobs
This isnt a trick. This is an open role that Jill is currently recruiting for from Jacks network
Sometimes Jills clients ask her to anonymize their jobs when she advertises them which means she cant share all the details in the job description
We appreciate this can make them look a bit suspect but there isnt 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 were giving his services away for free


Required Experience:

IC

This is a job that Jill our AI Recruiter is recruiting for on behalf of one of our customers.She will pick the best candidates from Jacks network.The next step is to speak to Jack.Applied ScientistSalary: Company Description: Deep-tech AI data platformJob Description:You will bridge the gap between ...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

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