Senior ML Engineer — AI for Sustainable Infrastructure
Senior ML Engineer — AI for Sustainable Infrastructure

Senior ML Engineer — AI for Sustainable Infrastructure

Full-Time 60000 - 80000 £ / year (est.) No home office possible
AECO

At a Glance

  • Tasks: Lead advanced model development using machine learning for sustainable infrastructure.
  • Company: Join AECOM, a leader in engineering and technology innovation.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on sustainability and efficiency.
  • Why this job: Make a positive impact on the world through cutting-edge AI technology.
  • Qualifications: Master’s or PhD in relevant field, strong Python skills, and ML model deployment experience.

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

AECOM is seeking an AI/ML Engineer in Greater London to lead advanced model development within our AI Engineering team. The role focuses on tackling complex engineering problems using machine learning to improve sustainability and efficiency in design.

The ideal candidate will possess a Master’s or PhD, strong programming skills in Python, and experience in deploying ML models.

Work with us to create a positive impact in the world through cutting-edge technology and innovation.

Senior ML Engineer — AI for Sustainable Infrastructure employer: AECO

AECOM is an exceptional employer that champions innovation and sustainability in the heart of Greater London. With a collaborative work culture that fosters creativity and professional growth, employees are empowered to tackle complex engineering challenges while making a meaningful impact on the environment. Join us to be part of a forward-thinking team that values your expertise and offers unique opportunities for career advancement in the rapidly evolving field of AI and machine learning.
AECO

Contact Detail:

AECO Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior ML Engineer — AI for Sustainable Infrastructure

Tip Number 1

Network like a pro! Reach out to professionals in the AI and ML space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.

Tip Number 2

Showcase your skills! Create a portfolio of your projects, especially those related to sustainable infrastructure. We want to see your coding prowess in Python and any ML models you've deployed—this is your chance to shine!

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practising common ML scenarios and being ready to discuss how you can tackle complex engineering problems with innovative solutions.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see how you can contribute to our mission of creating a positive impact through technology.

We think you need these skills to ace Senior ML Engineer — AI for Sustainable Infrastructure

Machine Learning
Python Programming
Model Development
Sustainability Engineering
Efficiency Improvement
ML Model Deployment
Advanced Problem Solving
Innovation in Technology

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in machine learning and programming skills, especially in Python. We want to see how your background aligns with the role of Senior ML Engineer, 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 passionate about AI for sustainable infrastructure and how your skills can help us tackle complex engineering problems. Keep it engaging and personal!

Showcase Your Projects: If you've worked on any interesting ML projects, make sure to mention them in your application. We love seeing real-world applications of your skills, especially those that demonstrate innovation and sustainability.

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 to do!

How to prepare for a job interview at AECO

Know Your ML Fundamentals

Brush up on your machine learning concepts, especially those related to sustainability and efficiency in design. Be ready to discuss how you've applied these principles in past projects, as AECOM will be keen to see your practical understanding.

Showcase Your Python Skills

Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that involve ML model deployment and optimisation.

Prepare for Problem-Solving Questions

Expect questions that assess your approach to tackling complex engineering problems. Think of specific examples where you used ML to solve real-world issues, particularly in sustainable infrastructure, and be ready to explain your thought process.

Align with Their Mission

AECOM is focused on creating a positive impact through technology. Research their recent projects and initiatives in sustainable infrastructure, and be prepared to discuss how your values align with theirs. This shows genuine interest and commitment to their mission.

Senior ML Engineer — AI for Sustainable Infrastructure
AECO

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