AI Engineer in London

AI Engineer in London

London Full-Time 50000 - 70000 £ / year (est.) No home office possible
AECOM

At a Glance

  • Tasks: Design and implement AI solutions that shape the future of infrastructure.
  • Company: Join AECOM, a global leader in infrastructure consulting.
  • Benefits: Comprehensive benefits, flexible work options, and career growth opportunities.
  • Other info: Collaborative culture focused on innovation and sustainability.
  • Why this job: Make a real-world impact with cutting-edge AI technology.
  • Qualifications: Master’s degree in relevant field and hands-on LLM experience required.

The predicted salary is between 50000 - 70000 £ per year.

Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.

In AECOM’s AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed and engineered; reducing waste, cutting CO₂, and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact.

What You’ll Do:

  • As part of the Assurance & Insight team, you will focus on designing, implementing and deploying LLM based solutions into production.
  • Using various LLM models with latest approaches (agentic, context engineering) to solve challenging problems.
  • Work end-to-end on ML solutions: from data preparation and evaluation, deployment, and monitoring.
  • Develop text representation and semantic extraction pipelines for structured knowledge from unstructured data.
  • Collaborate with product teams and domain experts to integrate LLM features into our SaaS platform.

Must-Have Qualifications:

  • Master’s degree in Computer Science, Data Science, Computational Linguistics, or related field.
  • Hands-on experience with LLM techniques for text representation and semantic data extraction.
  • Knowledge on best practices and Evaluation techniques.
  • Proven experience working end-to-end on Software solutions and CI/CD Pipelines.
  • Proficiency in Python and pydantic validation.
  • Experience building RAG systems, Prompt engineering, Data processing.

Preferred Skills:

  • Understanding of optimizing both CPU-bound and GPU-bound workloads.
  • Knowledge of monitoring and observability tools (e.g. Prometheus, Grafana, Elastic stack).
  • Experience with Infrastructure as Code (Terraform).
  • Experience with Azure.
  • Experience with Machine Learning.
  • Experience in building product for the construction industry.

Our Hiring Process:

  • 25-minute screening call.
  • Take-home challenge: A hands-on task to assess your problem-solving and technical skills.
  • Combined technical and cultural interview (in-person).
  • Whiteboard Interview: 1-hour with 2 of our engineers to discuss your solution to the take-home challenge (60 min).
  • Culture fit: In-person meeting with our leadership team (30 min).

Why Join Us?

  • Work on real-world problems where AI creates measurable impact.
  • Be part of a team where your work matters, and your ideas become real.
  • Collaborate with sharp, driven colleagues in a culture of trust, ownership, and high standards.
  • Contribute to making the built environment smarter and more sustainable.

AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.

AECOM is a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role.

AI Engineer in London employer: AECOM

At AECOM, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As part of our AI Engineering team, you'll engage in meaningful projects that have a tangible impact on the world, while benefiting from comprehensive training and development opportunities to advance your career. With a commitment to employee well-being and a diverse range of benefits, AECOM is dedicated to creating a supportive environment where your ideas can thrive and contribute to a better future.
AECOM

Contact Detail:

AECOM Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer in London

✨Tip Number 1

Network like a pro! Reach out to current employees at AECOM on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing a role in the AI Engineering team.

✨Tip Number 2

Prepare for those interviews! Brush up on your LLM techniques and be ready to discuss your hands-on experience with Python and CI/CD pipelines. Practise explaining your past projects clearly and confidently.

✨Tip Number 3

Show off your problem-solving skills! During the take-home challenge, focus on demonstrating your thought process and how you tackle complex issues. Remember, it’s not just about the final solution but how you got there.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the AECOM team.

We think you need these skills to ace AI Engineer in London

LLM Techniques
Text Representation
Semantic Data Extraction
Data Preparation
Deployment
Monitoring
Python
Pydantic Validation
RAG Systems
Prompt Engineering
Data Processing
CI/CD Pipelines
CPU-bound and GPU-bound Workload Optimisation
Monitoring and Observability Tools
Infrastructure as Code (Terraform)
Azure

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, let your enthusiasm for AI and its impact on the world shine through. We want to see how your bold ideas can contribute to our mission of delivering a better world.

Tailor Your Experience: Make sure to highlight your hands-on experience with LLM techniques and any relevant projects you've worked on. We love seeing how your skills align with what we do at AECOM, so don’t hold back!

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your qualifications and experiences are easy to read and understand. This helps us get a quick grasp of your fit for the role.

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!

How to prepare for a job interview at AECOM

✨Know Your AI Stuff

Make sure you brush up on your knowledge of LLM techniques and text representation. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.

✨Showcase Your Problem-Solving Skills

During the interview, be prepared to walk through your thought process on the take-home challenge. Highlight your approach to problem-solving, especially in relation to deploying ML solutions and working with CI/CD pipelines.

✨Collaborate Like a Pro

AECOM values teamwork, so be ready to discuss how you've collaborated with product teams and domain experts in the past. Share examples of how you integrated features into platforms and the impact it had on the project.

✨Get Familiar with Their Tools

Research the monitoring and observability tools mentioned in the job description, like Prometheus and Grafana. Showing that you understand these tools and how they fit into the workflow will demonstrate your readiness to hit the ground running.

AI Engineer in London
AECOM
Location: London

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