ML/AI Engineer

Closing date: 31August 2026

Interview dates: (in person) 28 & 30 September 2026

About us

At The Parliamentary and Health Service Ombudsman, we make final decisions on complaints that have not been resolved by UK Government departments and the NHS in England. We work closely with people to understand where, how and why public services sometimes fall short and fail to put people first. We share findings from our casework to help Parliament scrutinise public service providers. We also share our findings more widely to help drive improvements in public services and complaint handling.

Our culture is open, friendly and supportive. We listen, we learn, and we treat everyone with dignity and respect. Inclusion and wellbeing are at the heart of how we work, and we strive to create a workplace where every colleague feels valued, supported and able to thrive.

We work in a modern, flexible way built on trust and autonomy. You will split your time between working from home and spending around 40% of your week in our Manchester office, where collaboration and connection with your team are an important part of how we work.

The role

As an ML/AI Engineer, you will design, build and operate secure, scalable and reliable AI-enabled systems that support the delivery of live digital services. Working across the full machine learning lifecycle, you will develop, test, deploy and continuously improve ML and AI models, ensuring they perform effectively in production environments.

You will be responsible for ensuring AI solutions are technically robust, observable, explainable and maintainable, with appropriate controls in place to manage model, service and data risks. Working closely with multidisciplinary teams, you will help embed AI capabilities into services while ensuring compliance with governance, assurance and security requirements.

This role is ideal for someone passionate about delivering innovative AI solutions responsibly, balancing technical excellence with a strong focus on user impact, safety and trust.

What we are looking for

• experience with cloud‑based ML platforms and pipelines

• strong software engineering skills applied to ML and AI systems

• deep practical knowledge of production MLOps/LLMOps concepts including monitoring and versioning

• experience working with the Microsoft data and ML stack including Azure SQL, Cosmos DB, Model foundry, and Azure Databricks

We recognise the value of lived experience. If you have experience of complaining about any public body, we strongly encourage you to apply.