AI Engineer in London

AI Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Universal Music

At a Glance

  • Tasks: Design and build cutting-edge AI tools for the music industry.
  • Company: Join Universal Music, a leader in music innovation and culture.
  • Benefits: Enjoy competitive salary, private medical insurance, and generous leave.
  • Other info: Collaborative environment with opportunities for personal and professional growth.
  • Why this job: Make a real impact in music with state-of-the-art AI technology.
  • Qualifications: 5+ years in software/ML engineering and a passion for music.

The predicted salary is between 60000 - 80000 £ per year.

Music is Universal
It’s the passionate and dedicated team at Universal Music who help make us the world’s leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.

Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.

We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email UniversalMusicCareers@umusic.com.

Department
Part of the Global Technology organization, the team’s mission is to design and build state of the art AI/ML tools to support and empower Royalty Manager & Artists, and industry professionals.


The team covers the full design & development lifecycle, from explorative research to design to prototypes to production scale programs. It typically undertakes programs with applications such as, but not limited to, royalty calculations, income claim, contract agreements, 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’re looking for an AI Engineer to build and ship machine learning and generative AI solutions that power how a modern music company operates across A&R insights, marketing optimization, audience growth, content operations, rights/royalty workflows, and creative tools. You’ll partner with product, engineering, data, legal, and business teams to take ideas from prototype to production, with a strong focus on reliability, safety, and measurable impact.

Key Responsibilities


Be Technical

  • Design and implement AI pipelines for automating royalty calculation and relation processes etc.

  • Integrate foundation models (LLMs, vision models, etc.) into products using APIs and custom fine-tuning.

  • Develop and maintain retrieval systems that operate efficiently at scale.

  • Explore frontier software engineering in AI/ML for media, and related opportunities for UMG.

  • Build on state-of-the-art cloud infrastructure.

Be collaborative

  • Collaborate with the team and stakeholders to deliver, operate and maintain products.

  • Be part of an innovative and dynamic team.


Skills and Experience Required


Must have

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

  • 5+ years of hands-on professional experience in software/ML engineering.

  • Proven ability to come up with designs for AI/ML systems, pipelines and/or applications, and to implement them successfully.

  • Expertise in quantitative evaluation and benchmarking of state-of-the-art AI models.

  • Up to date knowledge of state of the art for ML Ops, ML infrastructure, including related tools, design patterns, best practices etc.

  • Experience with vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate) and information retrieval systems and methods.

  • Familiarity with media content (video, audio) ML pipelines.

  • Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker).

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

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

  • Ability to write clean, efficient, well documented, and reusable code.

  • Good communication skills, both oral and written.

  • Curious, self-motivated, and proactive.

Nice to have

  • Experience training and/or fine-tuning AI models.

  • Experience with LLMs integration, fine-tuning and associated tools (e.g. LangChain, Agent frameworks).

  • Competency in at least one other programming language (e.g. C/C++, Java).

  • Experience going from POC to production-grade system.

Key Behaviours

  • Curious Innovator: You stay up to date with frontier AI technologies and enjoy experimenting with fresh ideas that push the boundaries, running experiments, and learning fast from results.

  • Ownership Mindset: You take initiative, follow through on challenges, and bring a sense of accountability to everything you build.

  • Pragmatic Problem Solver: You balance technical depth with real-world practicality — delivering elegant, efficient and robust solutions that get the job done.

  • Collaborative Builder: You thrive in cross-functional teams, translating complex AI concepts into simple, impactful solutions that empower others.

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

About UMG UK

We are Universal Music Group UK – the UK’s leading music-based entertainment company. We exist to shape culture through the power of artistry. We help UK artists produce, distribute and promote the most critically acclaimed and commercially successful music to inspire and entertain fans at home and around the world.

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)

Just So You Know…

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.

Job Category:

Universal Music Group

AI Engineer in London employer: Universal Music

At Universal Music Group UK, we pride ourselves on being an inclusive and innovative employer that champions diversity and creativity. As an AI Engineer, you'll be part of a passionate team dedicated to pushing the boundaries of technology in the music industry, with ample opportunities for professional growth and collaboration across various departments. Our supportive work culture, combined with competitive benefits like private medical insurance and a generous pension scheme, makes UMG an exceptional place to develop your career while making a meaningful impact in the world of music.

Universal Music

Contact Details:

Universal Music Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Universal Music or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Universal Music.

Tap into Online Developer Communities

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Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace AI Engineer in London

Machine Learning Engineering
Artificial Intelligence
Software Engineering
AI/ML System Design
Python Programming
ML Ops
Cloud Infrastructure

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Universal Music.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Universal Music and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Universal Music

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Universal Music uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.