Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning / Natural Language Processing Engineer (KTP Associate)

The Knowledge Transfer Network Limited
Basingstoke
7 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Intern - 2/3 Month Contract

Data Scientist/Senior Data Scientist - Generative AI

Machine Learning Engineer

Senior Machine Learning Engineer – Computer Vision

Machine Learning Engineer

Machine Learning Engineer - AI Team (Global Digital)

AI / Machine Learning / Natural Language Processing Engineering / IT / Cybersecurity

PURPOSE OF THE JOB:
The University of Essex in partnership with Centerprise offers an exciting opportunity to leverage AI in designing an advanced cybersecurity solution that detects threats in real-time and communicates them clearly, streamlining and simplifying responses for users at different technical levels.

This post is fixed term for 34 months and is based at Centerprise’s offices in Basingstoke.

DUTIES OF THE POST
The duties of the post will include:

  1. Transforming Centerprise’s in-house cybersecurity software using Large Language Models (LLMs).
  2. Evaluating open and closed LLMs for Centerprise’s requirement and selecting the most commercially beneficial one.
  3. Using LLMs for text simplification, text classification and contextual instruction within the cybersecurity domain.
  4. Developing a user Interface and API to integrate the chosen LLM with the in-house cybersecurity software.
  5. Supporting company scale up and exploitation of new technology.
  6. Acting as project lead, to progress the project and ensure milestones are met in a timely manner.
  7. Embedding technology, training and upskilling company staff.
  8. Participating in academic and/or industrial conferences and other events, to disseminate and present research outcomes to the wider community.

These duties are a guide to the work that the post holder will be initially required to undertake. They may be changed from time to time to meet changing circumstances.

BENEFITS

  1. A personal development budget of £5,667 (exclusive of salary).
  2. Management training and mentoring by an Innovate UK KTP Adviser.
  3. An interesting and challenging role, with exposure to a variety of stakeholders.
  4. Full access to university resources to complete the project.
  5. World-leading Academic and Company project supervision, with project support by a dedicated, sector-leading KTP Office.

This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry.

Note – there is some flexibility with the anticipated start date detailed here.

#J-18808-Ljbffr

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.