Artificial Intelligence and Machine Learning Engineer (KTP Associate Position)

University of Salford; Salford; On-site; GBP 28,000 - 38,000; Full time

Benefits offered by this job

Personal development budget

9-day fortnight

4-day week (alternate)

Annual pay reviews

Christmas shutdown

Company pension

Family-friendly policies

Occupational health and GP support

Employee referral scheme

Paid sick leave

Paid paternity leave

Wellbeing support

Job summary

R&B Switchgear Services Ltd is seeking a graduate for a 36-month Knowledge Transfer Partnership Associate with the University of Salford to advance AI capabilities across engineering data.

You will develop multimodal AI systems, evaluate models, and work with stakeholders to drive adoption of AI technologies within the business.

Qualifications

• Minimum 2.1 BEng/BSc in Computer Science, AI, Data Science, ML or related subject
• Experience applying ML techniques to real-world problems
• Experience in computer vision, NLP and large language models
• Experience developing, testing and deploying ML models
• Understanding of data engineering, software development and AI deployment practices
• Experience of Safe AI, cybersecurity or regulated environments would be advantageous

Responsibilities

• Develop and embed advanced AI technologies to analyse complex engineering information from visual and text sources
• Combine computer vision, NLP and LLMs to streamline engineering/operational activities
• Develop safe AI systems for safety-critical environments and validate outputs for accuracy and trust
• Lead an innovation project and collaborate with engineering, IT and leadership teams

Skills

AI/ML

Computer vision

NLP

LLMs

ML deployment

Data engineering

Software development

Safe AI

Cybersecurity

Regulated environments

Education

BEng/BSc 2.1 in CS/AI/Data Science/ML

Job description

This is an exciting opportunity for an ambitious Artificial Intelligence and Machine Learning graduate to fast-track their career development as a Knowledge Transfer Partnership (KTP) Associate. The successful candidate will undertake a 36-month collaborative project between R&B Switchgear Services Ltd and the University of Salford.

R&B Switchgear is a UK manufacturer and service provider specialising in low-voltage switchgear and power distribution systems, serving sectors including healthcare, marine, renewables, utilities and data centres.

The Knowledge Transfer Partnership scheme is one of the UK's largest graduate recruitment schemes (http://ktp.innovateuk.org/) and is a three-way collaborative project between the Associate, the company and the knowledge base. It provides an opportunity for the successful applicant to manage a challenging project central to the company’s strategic development and long-term growth.

This opportunity may close early depending on application volumes.

What will you be doing?

This project presents a significant technical challenge, offering substantial opportunities for technical, commercial, leadership and professional development.

You will be responsible for developing and embedding advanced artificial intelligence technologies capable of analysing complex engineering information across visual and text-based sources. This will involve combining computer vision, natural language processing and large language models to streamline time-intensive engineering and operational activities.

A key challenge will be developing safe AI systems capable of operating within safety-critical engineering environments. You will work with complex multimodal datasets, train and evaluate machine learning models and ensure AI outputs are accurate, transparent and trusted by engineering teams.

You will manage a strategically important innovation project and work closely with engineering, operational, IT and leadership teams. Strong communication and stakeholder management skills will be essential, as you will be required to communicate complex technical concepts to non-technical audiences and support the adoption of AI technologies across the business.

Who are we looking for?

• A graduate with a minimum 2.1 BEng/BSc in Computer Science, Artificial Intelligence, Data Science, Machine Learning or a related subject.
• Knowledge and demonstrable experience applying machine learning techniques to real-world problems.
• Experience in computer vision, natural language processing and large language models.
• Experience of developing, testing and deploying machine learning models.
• Understanding of data engineering, software development and AI deployment practices.
• Experience of Safe AI, cybersecurity or regulated environments would be advantageous.

Additional added benefits

• Personal Development Budget of £6,000 (over and above their salary).
• an optional 9-day fortnight
• providing a four-day week every other week
• annual pay reviews and bonus opportunities
• a one-week Christmas shutdown
• company pension scheme
• family-friendly policies
• occupational health and GP support
• an employee referral scheme
• paid sick leave
• paid paternity leave and wellbeing support.