Machine Learning Engineer

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Job Title Machine Learning Engineer (Contract) Location London, England, United Kingdom Salary £500-£560 per day Overview The Company is a well‑established consumer technology business dedicated to creating a safe, trusted environment for millions of users. Data, experimentation, and scalable engineering form the core of its operations. The Trust function is expanding, and the company is investing heavily in modern ML infrastructure to support rapid growth. Responsibilities
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.
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.
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Location:
Greater London
Job Type:
FullTime

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