Machine Learning/AI Engineer (KTP Associate)

TN United Kingdom; United Kingdom; Hybrid; GBP 30,000 - 40,000; Full time

Job summary

An exciting opportunity for a KTP Associate to work with the University of Manchester and Fusion21 Ltd. The role involves managing a project focused on Machine Learning and AI, providing a unique chance to collaborate with industry practitioners and academics. Candidates should possess a PhD or strong Masters degree in relevant fields, with a focus on delivering innovative solutions within a hybrid working environment.

Benefits

Market-leading Pension scheme

Employee health and wellbeing services

Generous annual leave entitlement plus bank holidays

Paid holiday closure over Christmas

Discounts at major retailers

Qualifications

• Strong grounding in Machine Learning and AI.
• Relevant work/project experience in Data Science or Computer Science.

Responsibilities

• Manage a Knowledge Transfer Partnership project with Fusion21 Ltd.
• Collaborate with a multi-disciplinary team to deliver technical innovation.
• Translate Machine Learning and AI techniques into a robust solution.

Skills

Machine Learning

AI

Data Science

Applied Statistics

Software Engineering

Education

PhD or strong Masters degree

Job description

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Client:

The University of Manchester

Location:

- , UK, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

9f233092a5d3

Job Views:

3

Posted:

21.05.2025

Expiry Date:

05.07.2025

Job Description:

This is an exciting opportunity for an ambitious graduate with the ability and confidence to manage a Knowledge Transfer Partnership (KTP) project with Fusion21 Ltd.

The University of Manchester and Fusion21 Ltd are looking to recruit an individual with evidence of a strong grounding in Machine Learning and AI who will work alongside an MLOps Software Engineer (KTP Associate) to collaboratively deliver this 24-month project. The project aims to design and deliver a disruptive technical innovation programme that embeds advanced Machine Learning, AI, and software engineering techniques within the procurement process and supports the incorporation of a data-driven AI-enhanced business model and information management framework, supporting the company's strategic vision for digital transformation.

The position will provide the successful candidate with a unique opportunity to work within a multi-disciplinary team of academics, industry practitioners, and another KTP associate, translating Machine Learning, AI, and Software Engineering techniques into a robust Software/AI-enabled solution.

Candidates will require a PhD or a strong Masters degree with relevant work/project experience in Machine Learning, AI, Data Science, Applied Statistics, or Computer Science.

This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme promoting collaboration between universities and industry.

Based at Fusion21 Ltd, Knowsley, Merseyside, the successful candidate will work with supervisors from both the University and Fusion21 Ltd, utilizing facilities from both organizations. Fusion21 follows a hybrid working pattern with some flexibility to work from home, not exceeding 2 days per week, subject to line manager approval.

Note: KTP Associates who have already completed a KTP are not eligible to apply.

What you will get in return:

• Market-leading Pension scheme
• Employee health and wellbeing services, including an Employee Assistance Programme
• Generous annual leave entitlement plus bank holidays
• Paid holiday closure over Christmas
• Discounts at major retailers

We are an equal opportunities employer and welcome applicants regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, or transgender status. All appointments are made on merit.

Our University supports flexible working arrangements. For more information, click here.

Hybrid working arrangements may be considered.

Please note we do not respond to inquiries, nor accept CVs or applications from recruitment agencies. Enquiries should be directed to [e-mail]. Submitted CVs by agencies will be considered a gift.

For enquiries about the vacancy, shortlisting, and interviews:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy closes at midnight on the closing date.

See the link below for the Further Particulars document with the person specification criteria.