Overview

 Engineering Manager – London, N1C 4AG, United Kingdom 

Department

Part of the Global Technology organization, the Music and Advanced Machine Learning Lab (MAML)’s mission is to invent and build state of the art AI/ML tools to support and empower Artists, and industry professionals.

The MAML covers the full research & development lifecycle, from explorative research to prototypes to industrial scale products. It typically undertakes projects with applications such as, but not limited to, content understanding, content augmentation, creative tools, search, recommendation, etc.

We are curious, passionate and committed to push the envelope in AI for music. If you are excited at the idea of working on state-of-the-art AI at industry scale and make an impact, we want to hear from you!

The Role

We are seeking an experienced Engineering Manager to lead a team of engineers developing an intelligent video search platform that enables precise and flexible discovery across UMG’s extensive audiovisual catalogue. You will shape the technical vision, architecture, and execution for a platform that fuses media content processing, AI-driven search, metadata enrichment, to power discovery for our partners and internal creative teams.

Key Responsibilities:

Leadership and cross-functional collaboration

  • Lead and mentor a team of backend, frontend, and ML engineers focused on video intelligence and retrieval systems.

  • Foster a collaborative, inclusive culture of innovation, technical excellence, and rapid delivery.

  • Partner with business stakeholders to translate business requirements into technical deliverables.

  • Drive resource allocation, planning, and metrics-based delivery management.

Technical direction and delivery

  • Own the design and evolution of an AI-driven video search and discovery platform.

  • Oversee development of scalable ingestion, indexing, retrieval systems, and user-facing application (incl. backend and frontend/UI).

  • Integrate multimodal ML models (video, audio, and text) to enable deep content understanding.

  • Ensure system performance, availability, and security across cloud-based infrastructures.

  • If and when required, make hands-on contributions to the technical development.

  

Skills and Experience Required:

Must have

  • Strong background in Computer Science, Software Engineering, ML Ops, Artificial Intelligence or related technical field.

  • 7+ years of software/ML engineering experience, including 2+ years in an engineering management role.

  • Proven ability to architect and ship complex systems.

  • Deep understanding of content (video, audio) processing pipelines, metadata systems, and ML integration.

  • Expertise in information retrieval methods and technology, (e.g. Elasticsearch, OpenSearch, vector databases)

  • Experience with AI models across multiple modalities (video, audio, text).

  • Proficiency in modern programming languages (Python, Java, or C++).

  • Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes).

  • Proficiency with Linux environments and cloud platforms (e.g. AWS, Google Cloud Platform)

  • Champion software development best practices, code quality, documentation, observability.

  • Excellent communication and leadership skills, with experience managing distributed teams.

  • Curious, self-motivated, and proactive.

Nice to have

  • Experience with LLMs and associated tools (e.g. LangChain)

  • Experience implementing high cybersecurity standards

  • Experience delivering full stack projects

  • Previous experience in the media, entertainment, or creative technology industries.

  • Passion for music and/or deep musical understanding

Key Behaviours

  • Visionary Technologist: You think beyond immediate problems — connecting data, AI, and creativity to imagine what’s next for video discovery.

  • Empowering Leader: You bring out the best in your team by creating psychological safety, celebrating wins, and mentoring with empathy.

  • Curious and Experimental: You’re energized by exploring new tools and ideas, running experiments, and learning fast from results.

  • Outcome-Oriented: You’re driven by impact — building systems that deliver measurable creative and business value.

  • Collaborative Partner: You thrive in cross-functional settings, bridging technical, business and creative disciplines seamlessly.

  • Culturally Connected: You have a genuine interest in music and the role of technology in supporting culture.

Bonus Tracks: Your Benefits

  • Group Personal Pension Scheme (between 3% and 9%)

  • Private Medical Insurance

  • 25 paid days of annual leave

  • Interest Free Season Ticket Loan

  • Holiday Purchase scheme

  • Dental and Travel Insurance options

  • Cycle to Work Scheme

  • Salary Sacrifice Cars

  • Subsidised Gym Membership

  • Employee Discounts (Reward Gateway)

 

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