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    <title>MLOps Engineer - Databricks - Opus Recruitment Solutions RSS Feed</title>
    <link>https://jobs.co.uk/job/mlops-engineer-databricks-opus-recruitment-solutions--511439c7-6d17-482a-96ea-ef9bd6d9f5d9</link>
    <description>RSS feed for MLOps Engineer - Databricks at Opus Recruitment Solutions.</description>
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    <lastBuildDate>Tue, 06 Oct 2026 20:55:34 GMT</lastBuildDate>
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      <title>MLOps Engineer - Databricks - Opus Recruitment Solutions</title>
      <link>https://jobs.co.uk/job/mlops-engineer-databricks-opus-recruitment-solutions--511439c7-6d17-482a-96ea-ef9bd6d9f5d9</link>
      <guid>https://jobs.co.uk/job/mlops-engineer-databricks-opus-recruitment-solutions--511439c7-6d17-482a-96ea-ef9bd6d9f5d9</guid>
      <pubDate>Mon, 05 Oct 2026 23:00:00 GMT</pubDate>
      <description>Location: London | Salary: &amp;pound;400/day | Type: Contract | We''re urgently seeking an MLOps Engineer with Databricks expereince for a key partner. You will be responsible for-implementing ML workloads and MLOps capabilities on the Global AI Platform.  Key Responsibilities   Configure and optimise Databricks-based ML development and deployment frameworks.  Implement model training, deployment, monitoring, and governance capabilities.  Adapt or develop frameworks required to support migrated workloads.  Build CI/CD pipelines and automation for ML lifecycle management.  Lead technical implementation of pilot models on the Global AI Platform.  Develop reusable migration accelerators and standards.  Key Experience   Databricks Lakehouse Platform.  Databricks ML, MLflow, Unity Catalog, Workflows, and Model Serving.  CI/CD and MLOps automation.  Python and production ML deployment patterns.</description>
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