AI Engineer

The AA; Greater London; Hybrid; GBP 90,000 - 135,000; Full time

Benefits offered by this job

25 days' annual leave

Employer pension contribution

Private medical insurance

Breakdown membership (AA)

GP access and wellbeing support

Employee discounts

Job summary

The AA in London is seeking an experienced AI Engineer to design, build and deploy production AI solutions. You will own outcomes end-to-end, from problem formulation to live operation, working across predictive analytics, automation, generative AI and agent-based systems.

You will collaborate with data scientists, product managers, engineers and business stakeholders, delivering robust, scalable AI capabilities while embedding responsible AI principles and ensuring high-quality data governance

Qualifications

• Strong, recent hands-on AI or ML engineering experience.
• Clear evidence of personally building, deploying and operating AI or ML systems in production.
• Practical experience across the end-to-end AI and ML lifecycle.
• Experience building production AI applications and services, including generative AI or agent-based systems.
• Strong production engineering capability with CI/CD, containerisation, cloud native deployment and observability.
• Experience taking meaningful technical ownership within cross-functional teams with responsible AI principles.

Responsibilities

• Design, build, test, deploy and operate scalable AI and ML applications using Python.
• Own technical outcomes from problem definition through to production deployment and monitoring.
• Make pragmatic engineering decisions on model performance, latency, cost, and reliability.
• Build production capability with CI/CD, containerisation, cloud native practices, monitoring and deployment automation.
• Develop reusable components and contribute through code reviews, documentation and knowledge sharing.
• Embed responsible AI principles throughout development including fairness, privacy, security and human oversight.

Skills

AI/ML engineering

Python

Production AI

End-to-end lifecycle

Responsible AI

Cross-functional

Tools

CI/CD

Containerisation

Cloud native

Observability

Job description

Location: London (Hybrid working, 3 office days per week)

Employment Type: Permanent, Full Time

Why Join Us?

• Annual bonus, cash car allowance and private medical insurance
• Shape and embed The AA’s critical data governance operating model across a large, complex organisation
• Build a meaningful Group wide capability with strong executive sponsorship and the opportunity to influence how data is governed from an early stage
• Play a key role in ensuring trusted, high-quality data supports better decision making, customer outcomes and our growing Data and AI ambitions

For over a century, The AA has been keeping Britain moving. Today, millions of drivers trust us to be there when it matters most, and we're equally committed to supporting the people who make that possible. With a 4.5-star Glassdoor rating, we've built a culture where colleagues are empowered to grow, collaborate and make a real impact for our customers on every journey. Which has been recognised by Sunday Times “Best Places to Work” for the last two years.

Job Description

This is the Job

We’re looking for an AI Engineer who has genuinely built AI and machine learning systems, not simply worked alongside them. This is a highly hands on engineering role where you’ll design, write, test, deploy and improve production AI solutions, taking technical ownership from the initial problem through to live operation and ongoing optimisation.

You’ll work across predictive analytics, optimisation, automation, generative AI and agent-based systems, collaborating with data scientists, product managers, engineers and business stakeholders. Whether owning an outcome end to end or a defined technical area within a wider programme, you’ll be expected to understand how the technology works, make sound engineering decisions and be able to explain the choices you have made.

We’re particularly interested in the work you have personally delivered. Your application should clearly demonstrate AI or ML systems you have built, deployed and operated in production, including your individual technical contribution and the impact achieved.

Key Responsibilities

• Design, build, test, deploy and operate scalable AI and ML applications, services and data pipelines using clean, maintainable Python
• Own technical outcomes from problem definition and evaluation through to production deployment, monitoring and continuous improvement
• Make pragmatic engineering decisions across model performance, latency, cost, complexity, reliability and maintainability
• Build robust production capability using CI/CD, containerisation, cloud native practices, monitoring, logging, evaluation and deployment automation
• Develop reusable components and engineering patterns, contributing through code reviews, technical guidance, documentation and knowledge sharing
• Embed responsible AI principles throughout development, including fairness, transparency, privacy, security, evaluation and appropriate human oversight

What Do I Need?

You’ll Bring

• Strong, recent hands-on AI or ML engineering experience, with the technical depth to personally design, build and write production quality solutions using Python
• Clear evidence of personally building, deploying and operating AI or ML systems in production, beyond proofs of concept, experimentation or prototype work, with the ability to explain your individual technical contribution
• Practical experience across the end-to-end AI and ML lifecycle, including data preparation, development, evaluation, deployment, monitoring and ongoing improvement
• Experience building production AI applications and services, including generative AI or agent-based systems, alongside backend services, APIs or data pipelines
• Strong production engineering capability, including practical experience with CI/CD, containerisation, cloud native deployment and observability, together with the technical judgement to make and explain trade-offs across performance, cost, complexity and reliability
• Experience taking meaningful technical ownership within cross functional teams, including applying responsible AI principles such as fairness, transparency, privacy, security and human oversight, while communicating technical decisions clearly to different audiences

Additional Information

Belonging at The AA

At The AA, we value the unique perspectives, experiences and ideas that our people bring. We've nurtured a workplace where everyone feels valued, respected and empowered to do their best work.

Through our employee communities and inclusion initiatives, we’ve created opportunities for people to connect, share experiences and influence positive change across the business. This is a place where your voice matters and where you can belong, grow and succeed.

Driven by People, Rewarded by Benefits

We believe in rewarding our people. That's why we offer a comprehensive benefits package including;

• 25 days' annual leave plus bank holidays, the option to buy additional holiday
• Up to 7% employer pension contribution
• Free AA breakdown membership from Day One with 50% discount for family and friends, discounts on AA products including car and home insurance
• 24/7 GP access and wellbeing support for you and your family
• A wide range of employee discounts, including our popular car salary sacrifice scheme