Machine Learning Engineer
ML Engineer
£500-£560
The Company
They are a well-established consumer technology business with a mission to create a safe, trusted environment for millions of users. Data, experimentation, and scalable engineering are core to how they operate. Their Trust function is expanding, and they are investing heavily in modern ML infrastructure to support rapid growth. You will join a collaborative environment where ML Engineers, Scientists, Backend Engineers, and MLOps specialists work closely to deliver measurable impact.
The Role
In this role, you will: * Design and implement pipelines for training, evaluating, deploying, and monitoring detection models * Productionise detection models in partnership with ML Scientists, improving reliability and latency across asynchronous inference workflows * Collaborate with backend and product teams to define integration requirements for trust detection services * Extend ML infrastructure with MLOps teams, including reproducible training workflows, CI/CD for model deployment, batch and real-time model serving, feature consistency, and monitoring * Uphold strong standards around testing, observability, and operational excellence * Contribute to a scaling engineering culture where experimentation and measurable outcomes are central
Your Skills and Experience * Strong commercial experience building and deploying ML pipelines in production * Experience with asynchronous ML inference pipelines * Deep understanding of end-to-end ML workflows from research through to deployment * Ability to operate with ownership in complex, fast-moving environments * Strong communication skills for working with both technical and non-technical stakeholders * Experience designing systems within modern cloud environments such as AWS or GCP * Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, or scikit-learn * Exposure to ML/MLOps tooling such as SageMaker, MLflow, or TFServing * Experience with Spark, Databricks, CI/CD tools, and streaming or orchestration systems like Kafka or Airflow
How to Apply If you are interested in this Machine Learning Engineer position, please apply with your CV.