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- Tasks: Enhance waste prediction tools using AI and machine learning for sustainable construction.
- Company: Join a leading construction firm focused on innovative, data-driven solutions.
- Benefits: Enjoy hybrid work options and the chance to contribute to impactful projects.
- Why this job: Be part of a cutting-edge R&D project that shapes a sustainable future.
- Qualifications: Expertise in machine learning, data analytics, and API design required.
- Other info: 9-month contract with opportunities for collaboration and research publication.
The predicted salary is between 36000 - 60000 £ per year.
Data Developer AI/ML Opportunity – Manchester, United Kingdom Join Our Client\’s Innovative Team Are you driven by AI, machine learning, and data-driven impact? Join a leading construction and infrastructure company\’s IT team on a contract basis in Manchester. You\’ll contribute to a cutting-edge R&D project focused on reducing construction and demolition waste through through the use of machine learning, AI and intelligent solutions. Help shape a more sustainable future with innovative data tools and technologies. Details: Hybrid (1 day onsite) | ?\’ 9-Month Contract | UK/EU Focus Your Key Responsibilities ? Enhance and expand an existing waste prediction tool using Machine Learning and data analytics to progress it to Technology Readiness Level (TRL) 6/7. ? Develop a comprehensive functional specification for a Materials Data Bank (MDB) – a digital resource to optimise material selection while minimising waste. ? Design and implement APIs to seamlessly integrate the waste prediction too with BIM platforms and other digital systems ? Conduct a full review of data sources related to waste generation and identify opportunities for predictive modelling ? Collaborate with academic and industry partners, including universities and real-world demonstrators ? Contribute to research publications, conference presentations, and technical documentation Skills You\’ll Bring to the Role ? Machine Learning Expertise: Harness the power of ML to innovate and improve tools and systems. ? Data Analytics: Leverage analytical skills to interpret and manipulate complex datasets to derive actionable insights. ? API Design and Implementation: Build robust and efficient APIs to ensure system compatibility and integration. Don\’t miss this exciting opportunity to work at the forefront of impactful technology. Be part of an environment that values innovation and excellence. Apply today to make a difference! Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. To find out more about Computer Futures please visit XX XX XX XX XX Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales41bf1e1f-b16b-4260-a40a-17c77a06fd15
Data Developer AI/ML (IT) employer: Computer Futures
Contact Detail:
Computer Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Developer AI/ML (IT)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to construction and waste management. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the construction and IT sectors, particularly those involved in sustainability projects. Attend relevant meetups or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Prepare to discuss specific examples of your previous work with machine learning and data analytics. Be ready to explain how your contributions led to measurable outcomes, as this will showcase your ability to add value to the team.
✨Tip Number 4
Research the company’s current projects and initiatives related to AI and waste reduction. Being able to speak knowledgeably about their work will set you apart and show that you’re proactive and engaged.
We think you need these skills to ace Data Developer AI/ML (IT)
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills. Tailor your application to highlight your experience with machine learning, data analytics, and API design.
Showcase Relevant Experience: In your CV and cover letter, emphasise any previous projects or roles where you have successfully used machine learning or data analytics. Provide specific examples that demonstrate your ability to enhance tools and systems.
Highlight Collaboration Skills: Since the role involves working with academic and industry partners, mention any past experiences where you collaborated on projects. This could include teamwork in research, presentations, or technical documentation.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for sustainability and innovation in construction. Make it clear why you want to be part of this project and how you can contribute.
How to prepare for a job interview at Computer Futures
✨Showcase Your Machine Learning Expertise
Be prepared to discuss your experience with machine learning in detail. Highlight specific projects where you've successfully implemented ML techniques, especially those that relate to waste prediction or similar fields.
✨Demonstrate Data Analytics Skills
Bring examples of how you've interpreted complex datasets to derive actionable insights. Be ready to explain your analytical approach and the tools you used to manipulate data effectively.
✨Understand API Design and Integration
Familiarise yourself with API design principles and be ready to discuss how you've built and implemented APIs in past projects. Emphasise your ability to ensure system compatibility and integration with other platforms.
✨Prepare for Collaborative Scenarios
Since collaboration with academic and industry partners is key, think of examples where you've worked in teams. Be ready to discuss how you contributed to group projects and any research publications or presentations you've been involved in.
