At a Glance
- Tasks: Lead a team to develop an intelligent video search platform using cutting-edge AI technology.
- Company: Join a leading media company at the forefront of technology and creativity.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture that values creativity and innovation.
- Why this job: Shape the future of video discovery while working with innovative technologies.
- Qualifications: 7+ years in software/ML engineering, with strong leadership and technical skills.
The predicted salary is between 80000 - 100000 £ per year.
Requirements
- 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 (Desirable)
- Experience with LLMs and associated tools (e.g. LangChain) (Desirable)
- Experience implementing high cybersecurity standards (Desirable)
- Experience delivering full stack projects (Desirable)
- Previous experience in the media, entertainment, or creative technology industries (Desirable)
- Passion for music and/or deep musical understanding
What the job involves
- We are seeking an experienced Tech Lead 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.
- 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.
- 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.
The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.
AI Tech Lead Manager employer: Universal Music Group
As an AI Tech Lead Manager at our innovative company, you will thrive in a dynamic work culture that champions creativity and collaboration, particularly within the vibrant music and entertainment industry. We offer exceptional employee growth opportunities, including mentorship and access to cutting-edge technologies, all while fostering an inclusive environment that values diverse perspectives. Located in a hub of creativity, you will be part of a team that is not only shaping the future of video discovery but also making a meaningful impact on how audiences connect with content.
StudySmarter Expert Advice🤫
We think this is how you could land AI Tech Lead Manager
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and ML. We want to see what you can do, so make it easy for us to find your best work!
✨Tip Number 3
Prepare for interviews by practicing common technical questions and scenarios. We love candidates who can think on their feet, so run through some mock interviews with friends or use online platforms to sharpen your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who resonate with our mission.
We think you need these skills to ace AI Tech Lead Manager
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong background in Computer Science and any relevant experience in ML Ops or AI. We want to see how your 7+ years of software/ML engineering experience can shine through in your application!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific requirements mentioned in the job description. Show us how your expertise in content processing pipelines and AI models aligns with what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that communicate your experience and skills effectively. Remember, clarity is key!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Universal Music Group
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI, ML Ops, and software engineering principles. Be ready to discuss your experience with content processing pipelines and how you've integrated ML models in past projects. This will show that you’re not just familiar with the tech but can also lead a team effectively.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully managed teams in the past. Highlight your ability to create a collaborative environment and mentor team members. Discuss specific instances where you’ve celebrated wins or fostered psychological safety within your team.
✨Demonstrate Your Problem-Solving Mindset
Be ready to talk about challenges you've faced in previous roles and how you approached solving them. This is especially important for a role that requires visionary thinking and connecting data with creativity. Show that you’re curious and experimental by discussing any new tools or ideas you've explored.
✨Align with Company Culture
Research the company’s values and culture, especially their focus on music and technology. Be prepared to discuss how your passion for music aligns with their mission. This will help you connect on a personal level and demonstrate that you’re a good cultural fit for the team.
