MLOps Engineer: AI Pipelines & On-Site Infra

MLOps Engineer: AI Pipelines & On-Site Infra

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
AECO

At a Glance

  • Tasks: Own delivery pipelines and backend systems for AI-driven infrastructure software.
  • Company: Join AECOM’s innovative AI Engineering team in a fast-paced environment.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic role with high ownership and excellent career advancement potential.
  • Why this job: Make a real-world impact on infrastructure projects with cutting-edge AI technology.
  • Qualifications: Experience in MLOps, Azure cloud, and collaboration with engineering teams.

The predicted salary is between 63000 - 77000 £ per year.

AECOM’s AI Engineering team is hiring to shape the next generation of AI driven infrastructure software in a fast‑moving, high‑ownership environment. You will own the delivery pipelines and backend systems that keep AI products reliable, scalable and secure, with real world impact on infrastructure projects.

You will collaborate with ML engineers, data engineers and product teams to deliver end‑to‑end features, optimize performance, and drive MLOps best practices in Azure cloud on‑premise.

MLOps Engineer: AI Pipelines & On-Site Infra employer: AECO

At AECOM, we pride ourselves on being a leading employer in the architecture field, offering a dynamic work environment in the heart of London. Our commitment to employee growth is evident through our extensive training programmes and mentorship opportunities, ensuring that you can develop your skills while contributing to impactful projects that shape communities. With a culture that values diversity, innovation, and collaboration, AECOM provides the perfect platform for architects to thrive and make a difference in the world.

AECO

Contact Details:

AECO Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land MLOps Engineer: AI Pipelines & On-Site Infra

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at AECO or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to AECO.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like AECO.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like AECO that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace MLOps Engineer: AI Pipelines & On-Site Infra

MLOps
AI Pipelines
Infrastructure Software
Delivery Pipelines
Backend Systems
Reliability Engineering
Scalability

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at AECO.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at AECO and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at AECO

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If AECO uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.