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- Tasks: Lead the design and deployment of AI solutions for clients in the built environment.
- Company: Turner and Townsend is a global consultancy focused on delivering value through data and technology.
- Benefits: Enjoy flexible working options, professional development opportunities, and a collaborative culture.
- Why this job: Shape the future of AI in real estate while making a tangible impact on projects.
- Qualifications: Proven experience in AI/ML engineering with Python; strong communication and stakeholder management skills.
- Other info: Stay ahead of AI trends and work with multidisciplinary teams to drive innovation.
The predicted salary is between 43200 - 72000 £ per year.
Turner and Townsend is seeking an AI Engineer to lead the development of our service offering within the Data & Digital team. This role blends deep technical expertise with a consultancy mindset. Ideal for someone who can design and deliver AI solutions while advising clients on how to unlock strategic value through data and emerging technologies. You will play a pivotal role in shaping how AI is applied across our Real Estate segment from strategic planning and design to construction, handover, and operations. Key responsibilities
- Lead the design, development, and deployment of AI solutions tailored to client challenges in the built environment.
- Provide strategic AI advisory services to clients, helping them understand opportunities, risks, and implementation pathways.
- Collaborate with multidisciplinary teams to embed AI into Turner & Townsend\’s consultancy offerings, including cost, programme, risk, and asset management.
- Develop prototypes, pilots, and scalable AI models for use cases such as generative design, predictive maintenance, ESG tracking, and digital twins.
- Evaluate and integrate third-party AI platforms and tools into client environments.
- Support business development through thought leadership, client workshops, and proposal contributions.
- Stay current with AI trends, ethical considerations, and regulatory developments relevant to construction and infrastructure.
Proven experience in AI/ML engineering, with hands-on development using Python specifically with packages such as TensorFlow, PyTorch, or similar. - Strong understanding of consultancy delivery models and client engagement.
- Experience applying AI in real-world use cases such as NLP, computer vision, predictive analytics, or simulation.
- Ability to integrate AI solutions into organisational workflows.
- Familiarity with data standards and digital delivery frameworks (e.g., ISO 19650, BIM, CDEs) is a plus.
- Excellent communication and stakeholder management skills.
- Ability to translate technical concepts into business value and strategic outcomes.
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AI Engineer employer: Turner Townsend
Contact Detail:
Turner Townsend Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and how they apply to the construction industry. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the company.
✨Tip Number 2
Network with professionals in the AI and construction sectors. Attend relevant conferences, webinars, or meetups to connect with potential colleagues and learn more about the challenges they face, which can give you insights to discuss during your application process.
✨Tip Number 3
Prepare to showcase your hands-on experience with AI/ML tools like TensorFlow or PyTorch. Be ready to discuss specific projects where you've successfully implemented these technologies, as practical examples can set you apart from other candidates.
✨Tip Number 4
Understand Turner and Townsend's consultancy approach and how AI fits into their service offerings. Tailoring your discussions around their business model and demonstrating how you can add value will make a strong impression on the hiring team.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the AI Engineer position at Turner and Townsend. Tailor your application to highlight how your skills and experiences align with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasise your proven experience in AI/ML engineering, particularly with Python and relevant packages like TensorFlow or PyTorch. Provide specific examples of projects where you've successfully applied AI solutions.
Showcase Consultancy Skills: Since the role requires a consultancy mindset, demonstrate your ability to engage with clients and translate technical concepts into business value. Include examples of how you've advised clients or collaborated with multidisciplinary teams.
Craft a Compelling Cover Letter: Write a tailored cover letter that not only outlines your technical expertise but also your understanding of the construction and infrastructure sectors. Discuss how you can contribute to Turner and Townsend's strategic goals through innovative AI solutions.
How to prepare for a job interview at Turner Townsend
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with AI/ML engineering, particularly with Python and relevant packages like TensorFlow or PyTorch. Highlight specific projects where you've successfully developed AI solutions, as this will demonstrate your technical capabilities.
✨Understand the Consultancy Mindset
Since the role requires a blend of technical skills and consultancy, be ready to explain how you can advise clients on AI opportunities and risks. Think of examples where you've translated complex technical concepts into strategic business outcomes for clients.
✨Familiarise Yourself with Industry Standards
Brush up on data standards and digital delivery frameworks relevant to the construction industry, such as ISO 19650 and BIM. Being knowledgeable about these will show that you understand the context in which Turner and Townsend operates.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration, as the role involves working with multidisciplinary teams. Prepare examples of how you've successfully collaborated on projects, especially those that required integrating AI into existing workflows.
