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- Tasks: Transform cybersecurity software using AI and LLMs, lead projects, and develop user interfaces.
- Company: Join the University of Essex and Centerprise in pioneering cybersecurity solutions.
- Benefits: Enjoy a £5,667 personal development budget and management training.
- Why this job: Work on cutting-edge technology with world-class supervision and real-world impact.
- Qualifications: Passion for AI and cybersecurity; experience with LLMs is a plus.
- Other info: This is a 34-month fixed-term role with flexible start dates.
The predicted salary is between 36000 - 60000 £ per year.
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:
- Transforming Centerprise’s in-house cybersecurity software using Large Language Models (LLMs).
- Evaluating open and closed LLMs for Centerprise’s requirement and selecting the most commercially beneficial one.
- Using LLMs for text simplification, text classification and contextual instruction within the cybersecurity domain.
- Developing a user Interface and API to integrate the chosen LLM with the in-house cybersecurity software.
- Supporting company scale up and exploitation of new technology.
- Acting as project lead, to progress the project and ensure milestones are met in a timely manner.
- Embedding technology, training and upskilling company staff.
- 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
- A personal development budget of £5,667 (exclusive of salary).
- Management training and mentoring by an Innovate UK KTP Adviser.
- An interesting and challenging role, with exposure to a variety of stakeholders.
- Full access to university resources to complete the project.
- 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.
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Machine Learning / Natural Language Processing Engineer (KTP Associate) employer: The Knowledge Transfer Network Limited
Contact Detail:
The Knowledge Transfer Network Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning / Natural Language Processing Engineer (KTP Associate)
✨Tip Number 1
Familiarize yourself with the latest advancements in Large Language Models (LLMs) and their applications in cybersecurity. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with the cybersecurity community by attending relevant conferences or webinars. Networking with professionals in the field can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase any hands-on experience you have with developing user interfaces or APIs, especially in relation to LLMs. Being able to discuss specific projects or challenges you've faced will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you would approach training and upskilling staff on new technologies. Having a clear strategy for knowledge transfer can highlight your leadership potential and fit for the project lead role.
We think you need these skills to ace Machine Learning / Natural Language Processing Engineer (KTP Associate)
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your experience with AI, Machine Learning, and Natural Language Processing in your application.
Tailor Your CV: Customize your CV to reflect relevant skills and experiences that align with the duties of the post. Emphasize any previous work with Large Language Models and cybersecurity solutions.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your enthusiasm for the project. Mention how you can contribute to transforming Centerprise’s cybersecurity software and your interest in working with various stakeholders.
Highlight Your Project Management Skills: Since the role involves acting as a project lead, be sure to include examples of past projects where you successfully managed timelines and collaborated with teams to meet milestones.
How to prepare for a job interview at The Knowledge Transfer Network Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI, machine learning, and natural language processing. Highlight specific projects where you've transformed software or utilized large language models, as this aligns closely with the job's requirements.
✨Understand the Cybersecurity Domain
Familiarize yourself with current trends and challenges in cybersecurity. Being able to discuss how AI can enhance threat detection and response will demonstrate your understanding of the role's purpose.
✨Prepare for Project Management Questions
Since the role involves acting as a project lead, be ready to share examples of how you've managed projects in the past. Discuss your approach to meeting milestones and collaborating with diverse stakeholders.
✨Engage with the Academic Community
Express your interest in participating in conferences and disseminating research outcomes. This shows your commitment to both personal development and contributing to the wider community, which is a key aspect of the role.
