Senior ML & AI Engineer

Beatport

23h•Hybrid

About The Position

We are seeking an experienced and adaptable machine learning (ML) and artificial intelligence (AI) engineering professional to join a nimble and best-in-class data team at The Beatport Group. The role will report to the Director of Intelligence Engineering, and will share in the ownership and delivery of cutting edge, scalable ML/AI models. Initial workstreams will likely include: Recommendations and personalisation Search optimisation Audio modelling You will play a crucial role in transforming our data into genuinely useful product features that empower artists and connect DJs with the music that they love. You will ideally have 4-5 years of direct experience as an ML/AI focused engineer, with some experience in data science or similarly styled teams being advantageous. You will be able to demonstrate expert proficiency in Google Cloud Platform’s (GCP) latest ML/AI tooling, including, but not limited to: VertexAI BigQuery & BigQuery ML Gemini & Vector Search You will also work closely with our Lead Data Scientist in building and maintaining our API service to deliver the team’s output to Platform Engineering. FastAPI experience would be advantageous in this regard. This role can be hybrid (London) or remote (UK) but you must have a right to work without restriction and be based in the UK. The Technology Group is spread across Europe and North America. This is an exciting opportunity to shape the future of our ML/AI roadmap for a group at the forefront of electronic music and DJ culture.

Requirements

4-5 years of direct experience as an ML/AI focused engineer, with 1+ year in a senior capacity preferred.
Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
Expert proficiency in GCP’s ML/AI tooling, and its data ecosystem in general.
Expert proficiency with Python and its core ML/AI libraries eg PyTorch, XGBoost, TensorFlow.
Expert proficiency with SQL development, with Google dialects being advantageous.
Proficiency with an API web framework eg FastAPI, Django, Flask.
Robust CI/CD discipline for ML, for example, GitHub Actions or GitLab CI, and infrastructure as code solutions for automating model rollout such as Terraform.

Nice To Haves

Worked in a data science or data science adjacent environment.
Familiarity with experimentation and AB testing frameworks and packages.
Experience with vector databases or other methodologies that can support larger scale semantic search and retrieval pipelines.
Experience with data build tool (dbt).
Domain knowledge in digital signal processing and/or audio fingerprinting in the context of the music industry.
General music industry experience and/or an interest in DJ culture.

Responsibilities

Developing and implementing ML and AI based solutions to enhance and optimise the Beatport customer experience. This may include semantic search to improve crate digging, content recommendation/personalisation engines, or leveraging our catalog for the development of best-in-class audio models for music professionals.
Acting as a subject matter expert regarding GCP’s latest ML/AI tooling, and continuously prototyping and advocating for new tooling to ensure that our MLOps and AI infrastructure remains fit for purpose.
Owning the development cycle of our ML and AI pipelines, ensuring that our modeling is exposed in an as low latency and cost effective manner as possible, with a focus on robust CI/CD, and continuous iterative testing.
Collaborating with Platform Engineering and Product to prioritise relevant workstreams across the Beatport Group.
Working in conjunction with the Group’s data scientists, data engineers and data analysts to refine and develop scalable data architectures to deliver unified and actionable ML/AI based intelligence across the Beatport Group data stack.