Senior AI/ML Platform Engineer — Sustainable Infra
Senior AI/ML Platform Engineer — Sustainable Infra

Senior AI/ML Platform Engineer — Sustainable Infra

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

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 communication and collaboration opportunities.
  • 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 employer: AECO

AECO is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive perks, including professional development opportunities and the chance to contribute to meaningful projects in sustainable infrastructure. Join us to be part of a forward-thinking team where your expertise in AI and machine learning can make a real difference.
AECO

Contact Detail:

AECO Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior AI/ML Platform Engineer — Sustainable Infra

Tip Number 1

Network like a pro! Reach out to professionals in the AI/ML space on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities.

Tip Number 2

Showcase your skills! Create a portfolio of your machine learning projects and share them 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 and ML concepts. We recommend practicing with mock interviews or coding challenges to boost your confidence.

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 what you bring to the table!

We think you need these skills to ace Senior AI/ML Platform Engineer — Sustainable Infra

Machine Learning
Software Engineering
Model Development
System Architecture
Production Performance
Communication Skills
Analytical Skills
Problem-Solving Skills
Collaboration
Data Analysis
Python
Deep Learning
Statistical Modelling
Cloud Computing

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. Let us know what excites you about working at StudySmarter.

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 to do!

How to prepare for a job interview at AECO

Know Your Models Inside Out

Make sure you can discuss your experience with machine learning models in detail. Be prepared to explain the algorithms you've used, the challenges you faced during development, and how you optimised performance. This will show your depth of knowledge and hands-on experience.

Showcase Your Architectural Skills

Since the role involves improving system architecture, be ready to talk about past projects where you enhanced system performance. Bring examples of how you approached architectural challenges and the impact of your solutions. This will demonstrate your ability to think critically about system design.

Communicate Clearly and Confidently

Strong communication skills are key for this position. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical stakeholders. This will highlight your ability to bridge the gap between engineering and other teams.

Research AECO and Their Values

Familiarise yourself with AECO's mission and recent projects. Understanding their focus on sustainable infrastructure will help you align your answers with their values. It shows genuine interest and that you're not just looking for any job, but specifically want to contribute to their goals.

Senior AI/ML Platform Engineer — Sustainable Infra
AECO

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