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- Tasks: Join an innovative project to develop AI-driven monitoring solutions for fire safety installations.
- Company: ARC is the UK's top manufacturer of cavity fire barriers, known for quality and innovation.
- Benefits: Enjoy a £5,500 budget for your professional development and access to flexible working options.
- Why this job: Be part of a revolutionary project that enhances building safety and offers career growth opportunities.
- Qualifications: Ideal for graduates in Computer Science, Engineering, or related fields; experience in software development is a plus.
- Other info: Work closely with Leeds Beckett University academics and gain valuable industry experience.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
We are seeking an ambitious, talented and motivated individual to be at the centre of an innovative KTP project with ARC Building Solutions Ltd – the UK’s leading manufacturer of cavity fire barriers and cavity closers.
Project Overview
This 33-month project will see you work with ARC and academics from the School of Built Environment, Engineering and Computing at Leeds Beckett University to create a bespoke, quality and installation monitoring product utilising AI predictive model development and data monitoring. The product will optimise installation quality, automate fault finding and be underpinned by dynamic digital asset management.
About ARC
ARC is the UK’s leading manufacturer of cavity fire barriers and cavity closers, and the only UK manufacturer of low-rise cavity barriers to hold internationally recognised third-party IFC certification. ARC collaborates with industry partners to solve challenges across new build, retrofit, low-rise, high-rise and insulation sectors. This agile approach positions ARC as part of the avant-garde of construction product manufacturers.
Location
Founded in 2008, ARC’s offices and manufacturing facility is based in Gildersome, Leeds. The successful candidate will be based at the company premises, and will feel, to all intents and purposes, part of the ARC team.
Project Importance
This innovative project is vital in fulfilling ARC’s longer-term strategic ambition to achieve more regulated assurance that their fire prevention products are correctly installed. The development of this solution has the potential to revolutionise the current building-site industry practices and address key recommendations within the Hackitt Report.
Candidate Profile
We encourage applications from graduates with a good first degree in Computer Science, Engineering, Construction Informatics, Data Analytics, or a related field. Higher degrees would be advantageous. Relevant professional experience and certification in software development and machine learning will also be considered.
Skills Required
Excellent project management skills, proactive problem-solving abilities, and strong interpersonal skills with the ability to engage and influence multiple stakeholders are all qualities which the successful candidate should bring.
KTP Benefits
The KTP scheme offers you an invaluable way to fast-track your career development and includes a substantial budget of £5,500 ringfenced for YOUR professional development. Around 70% of our KTP project leaders end up being offered permanent roles within the business at the end of the project, allowing you to continue climbing the career ladder.
Educational Opportunities
Leeds Beckett University offers all of our KTP project leaders the opportunity to study for a FULLY FUNDED higher degree, making this a perfect opportunity to enhance your educational profile.
Support and Development
You will work alongside an engaged and forward-thinking leadership team, and a team of highly-regarded academics from Leeds Beckett University, gaining wide-ranging and senior level experience. The project provides dedicated budgets to support training and development (£2k pa) alongside opportunities to access the university’s pension scheme, staff benefits, and discounts, as well as high-level support from expert Leeds Beckett academics.
Travel Budget
There is a travel and subsistence budget included in the project.
Application Process
Closing date: Monday 3rd March 2025 (2359). To apply for this role, please select ‘Apply online’ below and complete the short application form. Please also attach an updated CV and a covering letter of no more than two sides of A4 paper outlining how your education, skills, and experience make you suitable for this role – where possible please address the specific requirements of the role as per the Employee Specification and outline your own suitability with relevant examples.
Important Note
We ask you not to use an AI assistant model such as Chat GPT to generate your CV or cover letter.
Benefits
Working here means you’ll also have access to a wide range of benefits including our generous pension schemes, excellent holiday entitlements, flexible working, reduced study fees, subsidised fitness facilities, and more.
We welcome applications from all individuals and particularly from black and global majority candidates as members of these groups are currently under-represented at this level of post. All appointments will be based on merit. #J-18808-Ljbffr
Machine Learning Engineer (Fixed term 33 months) employer: Leeds Beckett University
Contact Detail:
Leeds Beckett University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (Fixed term 33 months)
✨Tip Number 1
Familiarize yourself with the specific technologies and methodologies mentioned in the job description, such as AI predictive model development and data monitoring. This will not only help you understand the project better but also allow you to discuss relevant experiences during the interview.
✨Tip Number 2
Engage with ARC Building Solutions Ltd by following them on social media and participating in discussions related to their projects. This shows your genuine interest in the company and can provide insights that may be useful during your application process.
✨Tip Number 3
Network with professionals in the construction and machine learning fields, especially those who have experience with KTP projects. They can offer valuable advice and potentially refer you to opportunities within ARC or similar organizations.
✨Tip Number 4
Prepare to discuss how your skills in project management and problem-solving can contribute to the success of the innovative project at ARC. Think of specific examples from your past experiences that demonstrate these abilities.
We think you need these skills to ace Machine Learning Engineer (Fixed term 33 months)
Some tips for your application 🫡
Understand the Project: Take time to thoroughly read the job description and understand the innovative KTP project with ARC Building Solutions Ltd. Highlight your enthusiasm for working on AI predictive model development and data monitoring in your application.
Tailor Your Cover Letter: Craft a compelling cover letter that specifically addresses the requirements outlined in the job description. Use relevant examples from your education and experience to demonstrate how you meet the candidate profile, particularly in project management and problem-solving.
Highlight Relevant Skills: Make sure to emphasize your skills in software development and machine learning, as well as your ability to engage and influence stakeholders. This will show that you are not only qualified but also a good fit for the team at ARC.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter to ensure there are no errors. A polished application reflects your attention to detail and professionalism, which are crucial for this role.
How to prepare for a job interview at Leeds Beckett University
✨Understand the Project Scope
Make sure you have a clear understanding of the KTP project with ARC Building Solutions. Familiarize yourself with their products and how AI can enhance installation quality and fault finding.
✨Showcase Relevant Experience
Prepare to discuss your background in machine learning, software development, and any relevant projects you've worked on. Highlight specific examples that demonstrate your problem-solving abilities and project management skills.
✨Engage with Stakeholders
Since the role involves engaging multiple stakeholders, practice articulating how you would communicate and collaborate effectively with both technical teams and non-technical partners.
✨Express Your Ambition for Growth
The KTP scheme offers professional development opportunities. Be ready to discuss your career aspirations and how this role aligns with your long-term goals, especially regarding the potential for further education.
