At a Glance
- Tasks: Develop and deploy machine learning models while enhancing system architecture.
- Company: AECO, a leader in sustainable infrastructure in Greater London.
- Benefits: Comprehensive benefits package and opportunities for impactful work.
- Other info: Dynamic role with strong emphasis on communication and collaboration.
- Why this job: Join a cutting-edge team and make a difference in sustainable technology.
- Qualifications: Master’s or PhD in a relevant field with experience in model development.
The predicted salary is between 60000 - 80000 £ per year.
AECO in Greater London is seeking a Senior Software Engineer to work at the intersection of software engineering and machine learning. In this role, you'll focus on developing and deploying machine learning models, improving system architecture, and ensuring reliable production performance.
We're looking for someone with a Master’s or PhD in a relevant field, with proven experience in model development and strong communication skills. This position comes with comprehensive benefits and opportunities for impactful work.
Senior AI/ML Platform Engineer — Sustainable Infra in London employer: AECO
Contact Detail:
AECO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Platform Engineer — Sustainable Infra in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio of your machine learning projects and share it during interviews. We want to see what you can do, so let your work speak for itself!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. We recommend practicing with mock interviews to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI/ML Platform Engineer — Sustainable Infra in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and machine learning. 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 your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Communication Skills: Since strong communication is key for this role, make sure your application reflects that. Whether it’s through clear language in your CV or a well-structured cover letter, we want to see how you convey complex ideas simply.
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 – just follow the prompts!
How to prepare for a job interview at AECO
✨Know Your Stuff
Make sure you brush up on your machine learning models and software engineering principles. Be ready to discuss specific projects you've worked on, especially those that showcase your skills in model development and system architecture.
✨Showcase Your Communication Skills
Since strong communication is key for this role, practice explaining complex concepts in simple terms. Think about how you can convey your ideas clearly and effectively, as you'll need to collaborate with various teams.
✨Prepare for Technical Questions
Expect some technical questions related to AI/ML and software engineering. Review common algorithms, frameworks, and tools relevant to the job. You might even want to do a mock interview with a friend to get comfortable with the format.
✨Align with Their Values
Research AECO's mission and values, especially their focus on sustainable infrastructure. Be prepared to discuss how your work aligns with their goals and how you can contribute to impactful projects in this area.