Senior Software Engineer – AI for Sustainable Construction

Senior Software Engineer – AI for Sustainable Construction

Bachelor 60000 - 80000 € / year (est.) No home office possible
AECOM

At a Glance

  • Tasks: Design and build platform services for AI in sustainable construction.
  • Company: Join AECOM, a leader in innovative engineering solutions.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Collaborative team environment with exciting projects in AI.
  • Why this job: Make a real impact on sustainability through cutting-edge AI technology.
  • Qualifications: Strong Python skills and experience with ML deployment required.

The predicted salary is between 60000 - 80000 € per year.

AECOM in Greater London is seeking a Senior Software Engineer to join their AI Engineering team. In this role, you will design and build platform services, ensuring ML models run reliably while optimizing AI workloads using technologies like Docker and GitHub Actions.

The ideal candidate will have:

  • Strong programming skills in Python
  • Hands-on experience with ML deployment
  • A collaborative mindset

A Bachelor's or Master's degree in Computer Science or Engineering is required.

Senior Software Engineer – AI for Sustainable Construction employer: AECOM

AECOM is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the vibrant setting of Greater London. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to sustainability, making it a rewarding place for those passionate about leveraging AI for impactful construction solutions.

AECOM

Contact Detail:

AECOM Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Software Engineer – AI for Sustainable Construction

Tip Number 1

Network like a pro! Reach out to current or former employees at AECOM on LinkedIn. A friendly chat can give us insider info about the team and the role, plus it shows our genuine interest.

Tip Number 2

Show off your skills! Prepare a portfolio or GitHub repository showcasing your projects, especially those involving Python and ML deployment. This gives us a chance to demonstrate our hands-on experience and problem-solving abilities.

Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on algorithms and system design. We can even do mock interviews with friends or use online platforms to simulate the real deal.

Tip Number 4

Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with AECOM's mission in sustainable construction.

We think you need these skills to ace Senior Software Engineer – AI for Sustainable Construction

Programming Skills in Python
Machine Learning Deployment
Docker
GitHub Actions
Platform Services Design
AI Workload Optimisation
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your programming skills in Python and any hands-on experience with ML deployment. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Software Engineer position and how your collaborative mindset fits into our AI Engineering team at AECOM.

Showcase Your Tech Skills:Don’t forget to mention your experience with technologies like Docker and GitHub Actions. We love seeing candidates who can optimise AI workloads, so give us the details on your relevant tech skills!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at AECOM

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like Docker and GitHub Actions. Brush up on your Python skills and be ready to discuss how you've used these tools in past projects.

Showcase Your ML Experience

Prepare to talk about your hands-on experience with machine learning deployment. Have specific examples ready that demonstrate how you've optimised AI workloads or ensured the reliability of ML models in previous roles.

Emphasise Collaboration

Since a collaborative mindset is key for this role, think of examples where you’ve successfully worked in a team. Be ready to discuss how you communicate and collaborate with others, especially in tech environments.

Ask Insightful Questions

Prepare thoughtful questions about the team’s current projects or challenges they face in AI for sustainable construction. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.