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9,531

Python jobs in United Kingdom

Principal Research Scientist - Music

Spotify

City Of London
Hybrid
GBP 85,000 - 110,000
30+ days ago
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VP Quant Strategist – Cross-Asset Risk Premia Research

J.P. Morgan

City Of London
On-site
GBP 90,000 - 120,000
30+ days ago

Staff Research Scientist - Music

Spotify

City Of London
Hybrid
GBP 70,000 - 100,000
30+ days ago

Apprentice Data Analysts

Digital Native

Peterborough
Hybrid
GBP 23,000
30+ days ago

Software Engineer II

Samsara

City Of London
On-site
GBP 70,000 - 90,000
30+ days ago
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Reactor Physicist

Amentum

Bournemouth
On-site
GBP 40,000 - 70,000
30+ days ago

Lead Machine Learning Engineer

Sky

City Of London
On-site
GBP 100,000 - 125,000
30+ days ago

Senior AI Research Scientist – Natural Language Processing

NLP PEOPLE

Birmingham
Remote
GBP 80,000 - 100,000
30+ days ago
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Machine Learning/ AI Engineer – Agentic Systems

NLP PEOPLE

City Of London
On-site
GBP 70,000 - 90,000
30+ days ago

Software Automation Tester

Redline Group Ltd

England
On-site
GBP 40,000 - 60,000
30+ days ago

Principal Software Architect

Smarter Grid Solutions

Glasgow
On-site
GBP 60,000 - 80,000
30+ days ago

Trading Operations Analyst Graduate: 2026 | London

Susquehanna Growth Equity

City Of London
Hybrid
GBP 60,000 - 80,000
30+ days ago

Principal Technical Pricing Analyst

Allianz

Park Central
On-site
GBP 63,000
30+ days ago

Aspiring Programmer Trainee — Entry-Level Coding Career

ITOL Recruit

Liverpool
Hybrid
GBP 25,000 - 40,000
30+ days ago

Water Resources Modeller

Pertemps

Old Warren
On-site
GBP 48,000 - 60,000
30+ days ago

Protocol Engineer

Frontier Resourcing

United Kingdom
Remote
GBP 60,000 - 90,000
30+ days ago

Embedded Software Engineer (UAVs)

Archangel Autonomy

Oxford
On-site
GBP 50,000 - 70,000
30+ days ago

Helpdesk Technician

Lloyd Recruitment - Epsom

Redhill
On-site
GBP 30,000 - 40,000
30+ days ago

Engineering Manager

Skin + Me

City Of London
Hybrid
GBP 80,000 - 100,000
30+ days ago

Professional Services Engineer

P2P

City Of London
On-site
GBP 65,000 - 85,000
30+ days ago

Senior Identity & Access Management Operational Engineer

Pacific Life Re

City Of London
On-site
GBP 70,000 - 90,000
30+ days ago

Data Ops Engineer

Ocho People

Belfast
On-site
GBP 80,000 - 100,000
30+ days ago

Senior Risk Modelling Data Scientist — Hybrid Motor Pricing

Direct Line Group Careers

Glasgow
Hybrid
GBP 40,000 - 60,000
30+ days ago

Helpdesk Technician

Lloyd Recruitment - Epsom

England
On-site
GBP 30,000 - 40,000
30+ days ago

Helpdesk Technician

Lloyd Recruitment

England
On-site
GBP 30,000 - 40,000
30+ days ago

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Principal Research Scientist - Music
Spotify
City Of London
Hybrid
GBP 85,000 - 110,000
Full time
30+ days ago

Job summary

A leading audio streaming service is seeking a Principal Research Scientist to join their Artist-First AI Music lab. The role involves conducting research in music generation and collaborating with diverse teams to create innovative solutions. Ideal candidates have a Ph.D. in a related field and expertise in generative modeling and machine learning. Flexible remote work is available within the EMEA region.

Qualifications

  • Experience in generative modeling, music information retrieval, and related domains.
  • Strong coding skills in Python, PyTorch, and machine learning libraries.
  • Strong coding skills in Python and machine learning libraries.

Responsibilities

  • Conduct research in music generation and related fields.
  • Run experiments leveraging Spotify’s infrastructure.
  • Collaborate with cross-functional teams to innovate.

Skills

Generative modeling
Machine learning
Music information retrieval
Signal processing
Python
PyTorch
NumPy

Education

Ph.D. in Computer Science, Mathematics, Engineering, or a related field
Job description
Overview

We are seeking a Principal Research Scientist to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:

Partnerships with record labels, distributors, and music publishers : We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.

Choice in participation : We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.

Fair compensation and new revenue : We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.

Artist-fan connection : AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.

For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/

What You’ll Do
  • Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing.
  • Run large-scale experiments with access to Spotify’s extensive infrastructure and an audience of more than 700 million monthly active users.
  • Create practical applications that harness generative technologies, pushing the boundaries of what’s possible in listening experiences.
  • Collaborate as part of a cross-functional team—working closely with scientists, engineers, product managers, designers, user researchers, and analysts—to craft innovative solutions to complex challenges.
  • Have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization.
  • Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.
Who You Are
  • You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.
  • You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.
  • You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.
  • You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy.
  • You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
  • You are enthusiastic about learning more about turning research ideas into products operating at scale.
  • You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.
Where You’ll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location.
  • This team operates within the Central European and GMT time zone for collaboration.
  • Core working hours are CET 3pm-6pm / EST 9am-12pm.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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