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- 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 options, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on sustainability and efficiency.
- Why this job: Make a real-world impact by solving complex engineering challenges with AI.
- 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 in London employer: AECO
Contact Detail:
AECO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — AI for Sustainable Infrastructure in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to sustainability. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and ML concepts. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Engineer — AI for Sustainable Infrastructure in London
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 hold back on 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 contribute to our mission. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them! Whether it's deploying models or tackling engineering challenges, we want to know what you've done. Include links to your GitHub or any relevant portfolios if you have them.
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 gives you a chance to explore more about our team and values!
How to prepare for a job interview at AECO
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially those relevant to sustainability and engineering. Be prepared to discuss algorithms, model evaluation metrics, and how you’ve applied these in past projects.
✨Showcase Your Python Skills
Since strong programming skills in Python are a must, be ready 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.
✨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 improve efficiency or sustainability, 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 be prepared to discuss how your skills and experiences align with their mission to enhance sustainability in infrastructure.