AI Product Engineer

Are you interested in working for the music industry? Would you like to help develop unique cutting-edge data science and AI solutions to help drive innovation and creative data-driven strategies across Universal Music?

Universal Music UK is looking for an AI Product Engineer to become part of our UK central data, AI and technology team. The role offers a unique opportunity to join us at the start of a new chapter, where we are looking to grow & expand on the foundation of work we’ve already begun.

The role is perfect for a candidate that is passionate about music, data, AI and technology and has a thirst for acquiring, analysing and communicating knowledge through data. In a creative organisation such as ours, reducing a complex problem into something simple is key, so any experience managing stakeholders, shaping ideas and translating business needs into clear product requirements would also be a strength.

Alongside this, you will be responsible for building and improving AI-powered products, tools and workflows that solve real business problems across Universal Music UK. You will work with stakeholders and product managers to understand user needs, shape requirements and turn ideas into practical technical solutions. Working closely with data scientists, engineers, designers and business teams, you will help take products from discovery and prototyping through to development, launch, adoption and ongoing iteration. As we’re first and foremost a data, AI and technology team, you should be comfortable working with data, APIs, technical trade-offs and modern AI-enabled software development.

As part of the central data, AI and technology team, you’ll have a chance to work across all divisions, including AMS, frontline labels, our catalogue division UMR, and all other central teams, as well as data and technology teams within the wider business. This includes helping shape products from the inception of an idea through to fully working technology that supports & supercharges the labels.

Key Responsibilities

This role will feed directly into our Engineering Lead, where core responsibilities include:

• Develop AI-powered products, tools and workflows that are tailored to the needs of our labels and central teams.

• Collaborate with stakeholders, product managers and data teams to understand requirements and turn ideas into practical technical solutions.

• Build prototypes, applications and product features using modern software development tools, AI technologies and data-driven approaches.

• Work closely with developers, data scientists and project managers to ensure the timely delivery of high-quality data and AI products that can adapt to the business’ changing needs.

• Support product testing, troubleshooting and iteration to ensure solutions are reliable, useful, secure, performant and delivering measurable value.

• Stay up-to-date with the latest trends and technologies in AI, software engineering and product development, applying them to improve the quality and efficiency of our solutions.

At the heart of this role is a desire to give us a competitive edge in connecting our artists with audiences across the globe. More will be explained at interview. Rest assured, this is an exciting role as part of an innovative new initiative within the organisation.

Skills & Experience

Skills

• Strong software engineering skills across front-end, back-end and data-driven product development.

• Strong experience developing modern web interfaces using React, TypeScript, JavaScript, HTML and CSS.

• Experience using component libraries and design systems such as Material UI to build consistent and accessible user interfaces.

• Experience building back-end services, APIs and applications using Django, Django REST Framework and Python.

• Ability to turn product requirements into clean, scalable, secure and maintainable technical solutions.

• Comfortable working with SQL, relational databases, analytics tools and large or complex datasets.

• Experience integrating internal and external APIs, services and data sources into applications.

• Good working knowledge of data, AI and machine learning concepts.

• Experience building or integrating AI-powered features into web applications, tools or business workflows.

• Familiarity with generative AI tools and coding assistants such as ChatGPT, Claude, Gemini, GitHub Copilot or Codex.

• Awareness of agentic engineering approaches, AI-assisted workflows and tools such as Model Context Protocol would be advantageous.

• Experience working with AWS, managed databases and DevOps practices, including Git, GitHub, code review, CI/CD, deployment workflows and monitoring.

• Familiarity with CloudWatch, Aurora, Docker, Kubernetes, Azure or Microsoft Entra ID would be advantageous.

• Ability to collaborate effectively with product managers, engineers, data specialists, project managers and non-technical stakeholders.

• Strong problem-solving, testing, debugging and troubleshooting skills.

• Ability to manage competing priorities with a focus on product quality, user needs and measurable outcomes.

• Knowledge of music repertoire, music metadata, rights or the wider music industry is advantageous.

Experience

• Minimum of 3 years’ experience in software engineering, AI, data, technology or a related role.

• Background building web applications, APIs or internal tools using modern development practices.

• Experience working across the full product lifecycle, from discovery and prototype through launch, adoption, maintenance and iterative improvement.

• Experience working with cloud-hosted services, production deployments, monitoring and operational support is advantageous.

Education

• Degree in a relevant field or equivalent practical experience.

• A background in Computer Science, Software Engineering, Data Science, AI or a related technical discipline would be advantageous.

• Relevant professional experience, demonstrable technical capability and a strong portfolio of delivered products will be considered in place of formal qualifications.