
Enable job alerts via email!
Generate a tailored resume in minutes
Land an interview and earn more. Learn more
A cutting-edge AI recruiting firm is seeking an Applied Scientist to bridge statistical inference and language models, moving human data into actionable insights. You will design and prototype systems to ensure analytical rigor while collaborating with founders and enterprise clients. Ideal candidates have a strong background in statistical inference, machine learning, NLP, and thrive in early-stage environments. This remote role offers a competitive salary range of £70,000-£85,000.
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 Jack's network.
The next step is to speak to Jack.
Salary: £70,000-£85,000
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
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.
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.
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 you're 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