NLP / Machine Learning Data Scientist

Wyatt Partners

City of London

3 weeks ago

Create job alert

Salary: up to £95,000 + benefits + equity

Wyatt Partners are working with the CEO of a stealth start-up who already have Multi Million pound Venture Backing. They are looking to hire a PhD NLP (Natural Language Processing) Specialist to report directly into the CEO and work across a number of exciting projects crucial to the commercial success of the business. Equity Available, and sponsorship is available for non EU citizens.

Due their Stealth Status we cannot go into to much detail about the company, but we can say they are focusing on a building a new Search Engine software that would inherently change the way everyone uses the Internet to do research and gather information. If they are successful it would truly change all of our lives.

Their CEO has already built one game changing household business, and their CTO comes from Facebook. They are backed by some of the worlds biggest Tech Venture Capital firms. Everything is in place for the company to create a lasting impact on the world, which is their vision.

You should apply for this role if you are:

From a PhD or MSc background in a highly numerate subject with strong experience in NLP & Machine Learning projects
Programming skills in Python & knowledge of scikit-learn
You can be either a recent graduate or have commercial experience
Ideally you will have a background of working within globally renowned research institutions
Keen to be part of a rapid growth tech company trying to change the everyday life of almost everyone on the planet
Not interested in a hierarchical environment
Intellectually curious

The firm will also offer successful NLP Research Data Scientist the opportunity to indulge their own passion projects within the company.

Send me your CV to apply now for the NLP Research Data Scientist role with this Stealth Startup, or contact us to arrange a confidential conversation.

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist - AI & Machine Learning - Inside IR35

Data Scientist - NLP

Principal Data Scientist

Senior Data Scientist

Data Scientist II - QuantumBlack Labs

Applied AI & Machine Learning Associate – Markets Operations

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Feb 2, 2026

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.