Data Engineer (AI)

• You'll design and deliver scalable data pipelines, support AI model training and deployment, and help define the data architecture that underpins advanced analytics and intelligent features.
• This is not a maintenance or executor role - it's a chance to take a lead role in planning, designing, and implementing data systems that will bring AI in-house and drive real product innovation.
• Work with a range of data (e.g. video, field, GPS) from multiple IoT devices.
• Collaborate closely with AI/ML engineers and product teams to define data requirements and enable seamless AI integration.
• Develop tools, frameworks, and processes to ensure data quality, reliability, and performance.
• Implement monitoring and optimisation for data pipelines and streaming systems (latency, throughput, cost).
• Support customer-facing data insights and help explain AI behaviour and performance through data analysis.

• This role requires solid, demonstrable experience of Data Engineering, with experience building production-grade data pipelines and systems.
• Proficiency in Python and SQL is required.
• Ideally you will have a background working with IoT devices or video analytics, or other hardware-driven data environments.
• Hands-on experience with AWS and associated cloud data tool is essential.
• Knowledge of frameworks such as Apache Airflow, Spark, Kafka, and/or MQTT.
• Experience with containerisation tools (Docker, Kubernetes).
• Strong understanding of data architecture, system design, and pipeline optimisation.

Nice to Have:

• Experience with edge computing, real-time data processing, or streaming architectures.
• Exposure to AI/ML workflows or model lifecycle management.
• Familiarity with Kotlin or other modern programming languages.

Muse Group

Muse Group empowers music makers. We create the world’s most popular content, apps and platforms for playing, recording and composing music.

Through our expansive music catalogs, educational expertise, innovative learning tools and free open-source software, we make it easier for millions — from beginners to experienced musicians — to be creative every day. 

The Muse community is now over 400 million strong. And we’re just getting started. 

Our future vision is of a world with over a billion music makers — and we have a drive to expand our influence into other creative spaces too.

What do we make?

We make essential resources for all kinds of creatives, from performers to podcasters. Learn more about the leading Muse Group products here.

Who are we?

Muse Group began life as Ultimate Guitar, the largest online global community of musicians. Eugeny Naidenov founded Ultimate Guitar in 1998, with a dream to make it easy for guitarists to play songs by Guns ‘N’ Roses and his other favorite rockers. From there, the site grew from a plucky, tab-sharing trailblazer into a global leader of online music publishing. 

In 2017, Ultimate Guitar acquired MuseScore, expanding its reach into sheet music. Muse Group has only continued to grow from there — and now includes Audacity, StaffPad and many more. 

In 2023, Muse Group acquired Hal Leonard, the legendary global sheet music publishers, adding an unparalleled music catalog and educational expertise to the team.

Today, we are an international, visionary team of creatives, music lovers and audio obsessives, developing products we could not live without.