At a Glance
- Tasks: Develop and embed advanced AI technologies for engineering projects.
- Company: Join R&B Switchgear, a leading UK manufacturer in power distribution.
- Benefits: Enjoy a competitive salary, personal development budget, and flexible work options.
- Other info: Gain valuable mentorship and access to extensive training opportunities.
- Why this job: Fast-track your career while tackling exciting AI challenges in a collaborative environment.
- Qualifications: Must have a 2.1 degree in relevant fields and experience in machine learning.
The predicted salary is between 29700 - 36300 £ per year.
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 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
To facilitate professional development, the successful candidate will receive extensive practical and formal training, gain highly desirable specialist business skills, broaden knowledge and expertise within an industrially relevant project, and gain valuable experience from their industry and academic mentors. The KTP Associate will also benefit from a Personal Development Budget of 6,000 (over and above their salary). As part of the wider R&B Switchgear Group, the Associate will also have access to a comprehensive employee benefits package designed to support wellbeing, work-life balance and long-term development. This includes 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.
Artificial Intelligence and Machine Learning Engineer (KTP Associate Position) - Salford employer: University of Salford
As a Senior Lecturer in Forensic Psychology at Salford, you will join a vibrant and supportive community dedicated to shaping the future of health professionals and social leaders. With competitive salaries, an impressive 32 days of leave, and a strong emphasis on professional development, Salford fosters a culture of flexibility and inclusivity, ensuring that every employee feels valued and empowered to reach their full potential. The university's commitment to collaboration and diversity enhances the work environment, making it an exceptional place for meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence and Machine Learning Engineer (KTP Associate Position) - Salford
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like University of Salford that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Artificial Intelligence and Machine Learning Engineer (KTP Associate Position) - Salford
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at University of Salford.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at University of Salford and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at University of Salford
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If University of Salford uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.