At a Glance
- Tasks: Lead the design and development of impactful AI/ML models for engineering solutions.
- Company: Join AECOM, a leader in engineering solutions with a focus on innovation.
- Benefits: Enjoy flexible working options and comprehensive benefits.
- Other info: Collaborate with product teams and grow your career in a dynamic environment.
- Why this job: Make a real difference in engineering with cutting-edge AI technology.
- Qualifications: Master's or PhD in a relevant field and experience with ML models.
The predicted salary is between 60000 - 80000 £ per year.
AECOM is looking for a skilled ML Engineer in City of Westminster, UK. You will lead the design and development of AI/ML models that significantly impact engineering solutions.
The ideal candidate has:
- A Master's or PhD in a relevant field
- Proven experience with ML models
- Proficiency in Python and modern ML frameworks
Additionally, you will collaborate with product teams to integrate these capabilities into AECOM's SaaS platform, while enjoying flexible working options and comprehensive benefits.
Senior ML Engineer — Production AI for Engineering SaaS in London employer: AECOM
Contact Detail:
AECOM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Production AI for Engineering SaaS in London
✨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 company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your ML projects, especially those relevant to engineering solutions. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and ML frameworks. We can find mock interview platforms to simulate the real deal and boost our confidence.
✨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 needs in AI/ML for engineering.
We think you need these skills to ace Senior ML Engineer — Production AI for Engineering SaaS in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML models and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how you can contribute to our engineering solutions at AECOM. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since you'll be working with product teams, mention any past experiences where you collaborated effectively. We love seeing how you can integrate your technical skills with teamwork!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at AECOM
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with various ML models in detail. Be prepared to explain how you've designed and developed these models, the challenges you faced, and how you overcame them. This will show AECOM that you have the hands-on experience they’re looking for.
✨Brush Up on Python and Frameworks
Since proficiency in Python and modern ML frameworks is key, ensure you're comfortable discussing your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with popular libraries like TensorFlow or PyTorch, as they may come up in conversation.
✨Understand AECOM's SaaS Platform
Do your homework on AECOM’s SaaS offerings. Knowing how your role as an ML Engineer fits into their product ecosystem will help you articulate how you can contribute. Think about how AI/ML can enhance their engineering solutions and be ready to share your ideas.
✨Prepare for Collaboration Questions
As you'll be working closely with product teams, expect questions about teamwork and collaboration. Have examples ready that showcase your ability to work cross-functionally, resolve conflicts, and drive projects forward. This will demonstrate that you’re not just a tech whiz but also a team player.