AI Engineer

The Automobile Association; City of Westminster; On-site; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Annual bonus

Car allowance

Private medical insurance

25 days annual leave

Employer pension contribution

Breakdown membership (AA)

Job summary

The Automobile Association is seeking an experienced AI/ML Engineer to design, build and deploy scalable AI/ML applications and data pipelines using Python. You will own production outcomes from problem definition to deployment, balancing performance, latency and cost while upholding responsible AI principles.

You will contribute to robust production capabilities, including CI/CD, containerisation and observability, and work with backend services, APIs and data pipelines within a large, complex

Qualifications

• Hands-on AI/ML engineering experience in production
• Experience designing, building and deploying AI/ML systems in production
• Proficiency with Python for scalable data pipelines and services
• Experience with CI/CD, containerisation and cloud-native deployments
• Ability to evaluate model performance, latency, cost and reliability
• Familiarity with responsible AI principles (fairness, transparency, privacy)

Responsibilities

• Design, build, test, deploy and operate scalable AI/ML applications and data pipelines
• Own technical outcomes from problem definition to production deployment
• Make pragmatic engineering decisions on model performance, latency and cost
• Develop production capabilities with CI/CD, containers, monitoring and deployment automation
• Create reusable components and contribute to code reviews and documentation
• Apply responsible AI principles throughout development and communicate decisions clearly

Skills

Python

CI/CD

Containerisation

Cloud-native

AI/ML engineering

APIs

Generative AI

Observability

Tools

CI/CD tools

Cloud platforms

Job description

• 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.,

• 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
  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
  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