Remote Home Based Senior Software Engineer (Permanent) in London

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.

With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

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. With our AI Engineering team we've created a unique setup: a lean, highly technical team with the speed and ownership of a start up, backed by the scale, resources, and domain expertise of one of the world's leading engineering firms. There has never been a better time to be at AECOM.

We are leading the industry's AI transformation, and with our people and technology we deliver excellence and innovate with impact. As a Senior Software Engineer, you'll build the production software that powers AECOM's AI-driven engineering products, working across backend systems, platform engineering and machine learning systems according to your strengths.

Strong software engineering fundamentals, ownership of meaningful production systems and depth in one area matter more than matching every technology in our stack. You'll design and build backend services, APIs and data flows; and make sound trade-offs in areas such as database design, schema evolution, scalability and performance. You'll own substantial work from problem definition and design through implementation, deployment and ongoing production support, improving reliability and resolving difficult issues along the way.

Working closely with software and ML engineers, product teams and engineering-domain experts, you'll help turn research into reliable, production-ready tools. Depending on your background, this may include integrating models into products, building deployment and monitoring capabilities, or optimising AI workloads. Previous professional AI/ML experience is valuable, but is not required for every hire.

Qualifications

• Must-Have Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong hands-on Python programming skills and experience building production backend services, APIs or other substantial software applications. Familiarity with frameworks such as FastAPI, Flask or Django is useful.
• Demonstrated ownership of technically challenging production systems, from design and implementation through deployment and ongoing improvement.
• Strong system design and engineering judgement, with experience making practical trade-offs around architecture, data models, reliability, scalability or performance, and diagnosing difficult production problems.
• Sound software development practices, including automated testing, code review, version control and CI/CD, with a focus on maintainable code and reliable production delivery.
• Experience bringing AI/ML capabilities into production, such as model deployment and monitoring, ML pipelines, model serving, or LLM-powered applications and retrieval-augmented generation (RAG).
• Cloud and platform engineering experience with AWS, Azure or GCP; or deployment pipelines such as GitHub Actions.
• Depth in distributed or event-driven systems, asynchronous processing, or data-intensive and high-throughput applications.
• Experience with observability and performance tuning, including tools such as Prometheus, Grafana, ELK or Datadog, or optimising CPU-, GPU- or distributed ML workloads.
• Work on real-world problems where AI creates measurable impact.

To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.

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.

As a trusted professional services firm powered by deep technical abilities, we solve our clients' complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle — from advisory, planning, design and engineering to program and construction management.

Work on groundbreaking projects—both in your local community and on a global scale—that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you'll have the resources to make a real impact.

Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you've always envisioned. Here, you'll find a welcoming workplace built on respect, collaboration and community—where you have the freedom to grow in a world of opportunity.

We are 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.