Machine Learning Software Engineer (12-Month Contract, Inside IR35)
Hybrid – London / Remote
Inside IR35 – Rate circa £600-650 per day
12 Months contract

La Fosse is partnered with a global, leading entertainment organisation seeking a Machine Learning Software Engineer to join their cutting-edge Music & Audio Machine Learning Lab. This role is ideal for an experienced engineer passionate about AI/ML in creative applications. You’ll contribute to the full lifecycle of innovative ML tools, from research and prototyping to deployment, in a fast-paced and collaborative environment.

Key Responsibilities:

Design and develop AI/ML-driven software products for music and audio applications
Build infrastructure to support ML pipelines and full lifecycle development
Work with modern cloud technologies and large-scale data environments
Collaborate closely with a dynamic team of engineers and stakeholders

Technical Skills & Requirements:

5+ years of professional experience in software engineering
Strong proficiency in Python and one additional language (e.g. C++, Java, Scala)
Experience with ML frameworks (e.g. PyTorch, TensorFlow), and scientific libraries (NumPy, SciPy, scikit-learn)
Familiarity with audio data (or video), able to handle large binary files
Proven experience in at least one of: ML model deployment, ML Ops, AI agents, or LLM integration
Expertise in Linux, Docker, and cloud platforms (AWS, GCP, etc.)
Familiarity with CI/CD pipelines and version control best practices
Ability to write clean, efficient, and reusable code
Strong communication and collaboration skills

Desirable:

Experience with LLM tools (e.g. LangChain)
Background in ML Ops, serverless/containerised infrastructures (e.g. Kubernetes, SageMaker)

Send across your latest CV to apply!

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ML Engineer (Audio, Music) – 12 months Inside IR35