Cybersecurity and Machine Learning Engineer (KTP Associate) (111387-0326)

CompanyUniversity of Warwick

LocationLondon, England, United Kingdom

Posted At3/6/2026

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Occupation Type

Cyber security professionals

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£48,500 (£24.87 per hour)

Occupation rate applies

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Description

About The Role

Informal Queries

For informal queries about the role, please contact Associate Professor, Subhash Lakshminarayana at Subhash.Lakshminarayana@warwick.ac.uk

Full time fixed term 29-month contract.

The Associate will be employed on a Knowledge Transfer Partnership (KTP) project between the University of Warwick and National Grid. The 29 months project will deliver a specialised cybersecurity strategy to be rolled out across National Grid’s intelligent substations. The skills required are multi-disciplinary, with knowledge of power system security and machine learning being crucial.

The Associate will primarily work alongside National Grid engineers to integrate the machine learning backend of the intrusion detection system to real-world setups.

This post is part of the Knowledge Transfer Partnership (KTP) initiative funded by Innovate UK. Knowledge Transfer Partnerships is a UK-wide programme that has been helping businesses for the past 50 years to improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK Knowledge Base. For further information visit http://ktp.innovateuk.org/

The skills the Associate will develop will put them at the cutting edge of power grid cyber-physical security, equipping them to address emerging threats, design resilient architectures, and safeguard critical energy infrastructure. They will collaborate with a dynamic team of National Grid staff and University of Warwick academics to achieve the project goals.

About You

The candidate should have PhD-level training or strong / equivalent work experience on cybersecurity or a similar background, with evidence of designing new relevant products and working with big and diverse teams. They will need to have advanced-level knowledge of power grid security and machine learning concepts with proficient coding skills (eg MATLAB, Python, or similar) and power grid simulation software (eg PSCAD, Power Factory, etc). The Associate must also learn to integrate the machine learning backend of the intrusion detection system to real-world substation setups. This requires development of specialised APIs and lifecycle management of the machine learning model.

This role will require a strong understanding of electrical engineering and power systems principles in order to encourage communication with a variety of stakeholders, including IT&D specialists and energy engineers.

You are a proactive and self-motivated professional who thrives working both independently and as part of a team. You are confident managing your own workload with minimal supervision, consistently using initiative to identify improvements, solve problems, and drive tasks through to completion.

You bring experience in project management, with the ability to plan, coordinate, and deliver work effectively.

An excellent communicator, you have strong written and verbal English skills and are comfortable engaging with a wide range of stakeholders. Your interpersonal skills enable you to build positive working relationships and collaborate effectively across teams.

You are also committed to continuous professional development and actively seek opportunities to enhance your skills and knowledge.

For details on the experience and skills required, please refer to the job description attached as a PDF below.

About The Department

National Grid Partners is the venture investment and Group innovation arm of National Grid plc., one of the world's largest investor-owned energy companies. Our team combines decades of experience in both corporate venture capital and utility operations.

By connecting these two worlds, we’re accelerating the energy transition and helping new technologies reach critical scale faster. Since 2018, we have invested over $500M in more than 50 startups in the US and the UK. We also convene the NextGrid Alliance, an international network of senior innovation executives from more than 120 utility companies focused on harnessing the industry's latest technologies. Headquartered in Silicon Valley, National Grid Partners has offices in Boston, London, and New York. This position will be located in our London office.

As part of the KTP, the Associate will be receive mentoring from Innovate UK, and be allocated a budget of £2,000 per annum for training and professional development. As a University of Warwick employee, you will have access to University resources and a range of benefits and rewards, including an attractive pension scheme. This role is based full-time at National Grid Partners’ offices, 1-3 Strand, London, WC2N 5EH, with opportunities for travel to other National Grid offices.

The University of Warwick is one of top 10 universities in the UK and top 100 in the world. This post is based in the Connected System

s Research Group at the School of Engineering that consists of experts in the field of smart grids, cyber security, applied artificial intelligence and wireless communication systems. The group has several projects funded by EPSRC, Innovate UK and Horizon Europe.

The School of Engineering is committed to the principles of the Athena SWAN Charter, which recognises work undertaken to address gender equality, representation and progression for all staff working in an academic environment. The School currently holds the Athena SWAN Gold award, and the University holds an Institutional Silver award.

Further information about the work of the School in relation to Athena SWAN can be found at the following link: Athena SWAN - School of Engineering - University of Warwick

About The University

We are a world-leading research-intensive university founded in 1965. We are ranked 74th in the world and 9th in the UK.* Additionally, 92% of our research is rated world-leading or internationally excellent.**

Find out more about us at warwick.ac.uk/about/.

World University Ranking 2026, Complete University Guide 2026

Research Excellence Framework 2021

How to Apply

CLOSING DEADLINE: Thursday 19th March 2026 at 11:55pm (UK Time)

To apply, please click APPLY below and submit your application by the closing deadline.

You will be asked to include a CV and cover letter. Within these documents, please:

Outline your employment and education history (including your most recent employment).
Outline the reasons for your interest in this position.
Demonstrate how you meet the requirements of the role with clear reference to each of the essential and desirable criteria in the Job Description (PDF attached below). We recommend using individual the essential and desirable criteria as headings.

Please note that all essential criteria must be met by candidates who are invited to interview.

Candidates should also provide a link to their online project portfolio (e.g. GitHub) if available.

Candidates shortlisted for interview will be asked to give a short presentation (5-10 minutes) about a relevant or technical project they’ve previously worked on.

Interview Date: To be confirmed
Start Date: To be confirmed

Applications must be submitted by the closing deadline. Only applications submitted through our Careers Portal () will be considered.

You are welcome to include any careers breaks you may have taken (e.g. parental/caring/long-term sick leave).

Please note that if you do not evidence the essential criteria, the hiring panel may not be able to shortlist your application. For guidance on how to format a cover letter, see here.

What we Offer

We Provide a Comprehensive Range Of Benefits, Including

An attractive pension scheme.
26 days holiday plus University Christmas closure.
Generous parental/adoption leave policy.
Onsite childcare facilities.
Excellent learning and development opportunities.

We recognise the importance of a healthy work/life balance and offer access to flexible working arrangements. Find out more about our flexible working arrangements.

We are proud to be a Living Wage employer.

Our Commitment to Inclusion

To find out more about our commitments to equality, diversity, and inclusion, please see: Our Commitments | University of Warwick

Job Description

JD KTP Associate (Cybersecurity and Machine Learning Engineer) (111387).pdf – 220KB Opens in a new window

Right to Work in the UK

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