Senior Machine Learning Engineer

SoundCloud Ltd; London; On-site; GBP 70,000 - 110,000; Full time

Job summary

SoundCloud is seeking a Senior Machine Learning Engineer for its Ads team in London to lead the development and deployment of scalable machine learning models. The role involves working closely with data scientists, optimizing advertising experiences while maximizing revenue potential. Candidates should have strong expertise in ML, coding, and cloud infrastructures.

Qualifications

• Proven track record of releasing large-scale ML models to production.
• Experience with building and scaling ML infrastructure.
• Strong background in professional software engineering practices.

Responsibilities

• Design, build, evaluate, and deploy scalable ML models.
• Lead the end-to-end development process including model deployment.
• Mentor teammates and influence strategic engineering decisions.

Skills

Machine Learning

Python

Cloud Computing

Data Analysis

Version Control

Education

Bachelor's or Master's Degree in Computer Science or related field

Tools

TensorFlow

PyTorch

GCP

AWS

Spark

Job description

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Senior Machine Learning Engineer, London

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Client:

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

a1416090c15d

Job Views:

5

Posted:

29.06.2025

Expiry Date:

13.08.2025

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Job Description:

SoundCloud empowers artists and fans to connect and share through music. Founded in 2007, SoundCloud is an artist-first platform empowering artists to build and grow their careers by providing them with the most progressive tools, services, and resources. With over 400+ million tracks from 40 million artists, the future of music is SoundCloud.

We are looking for a Senior Machine Learning Engineer to join our Ads team. As part of the Revenue Group, our mission is to provide anyone on any budget access to the music and communities they love through tailored and sustainable monetization and user engagement.

The Ads team at SoundCloud operates as a cross-domain unit that collaborates closely with various departments to optimize the advertising experience for listeners while maximising revenue potential. By carefully balancing user engagement with strategic ad placement, the team works tirelessly to build a sustainable platform that provides consistent and meaningful revenue streams for artists across the platform.

Key Responsibilities:

As a Senior Machine Learning Engineer, you will work closely with Scientists to move ML projects from ideation to production. This includes designing, building, evaluating, and deploying scalable models that directly impact the experience of millions of users globally.

You’ll lead the end-to-end development process, from architecture design to model deployment and monitoring. Beyond technical implementation, you’ll set engineering standards, mentor teammates, and influence strategic decisions. You’ll champion best practices for testing, reliability, and long-term maintainability of ML systems and infrastructure, raising the engineering bar across SoundCloud.

We value your technical leadership, engineering craftsmanship, and passion for building high-quality ML products that drive meaningful and lasting impact.

Experience and Background:

Proven track record of successfully releasing large-scale ML models to production, including ownership of model design, training/ fine-tuning, evaluation, and optimization of both training and inference performance. Familiarity with state-of-the-art recommendation systems and large language models (LLMs) is a strong plus

Demonstrated experience building and scaling robust ML infrastructure and tooling, including components such as deployment automation, model lifecycle management, monitoring, containerization, and orchestration. Proficiency with cloud platforms (e.g., GCP, AWS, Azure) is expected

Strong background of professional software engineering practices, including version control, test-driven development, peer reviews, CI/CD, and clean code principles across the ML system lifecycle

Ability to clean, process, and analyze large datasets, as well as experience conducting and interpreting A/B tests using SQL

Ability to make informed build-or-buy decisions by evaluating technical trade-offs, integration complexity, long-term maintenance, and business impact

Expert-level coding skills in Python, Scala, Java, or similar languages, with deep hands-on experience in ML frameworks (e.g., TensorFlow, PyTorch) and distributed data systems (e.g., Spark, BigQuery)

Effective communicator and technical collaborator who proactively drives initiatives in cross-functional, agile teams. Comfortable mentoring peers, leading discussions around architecture and design, and delivering impactful, scalable solutions

Preferred Experience:

Demonstrated expertise in spearheading the end-to-end development of machine learning solutions specifically within the advertising industry, including system architecture design, implementation, and production deployment focusing on reliability and scalability

Experience in designing and deploying (including security, reliability and scale) of ML solutions on the cloud, such as AWS or GCP

Experience building solutions involving large datasets and/or ML models using distributed computing frameworks and technologies