7 of 7 Databricks Jobs in Lanarkshire

colleagues within machine learning engineering or software development teams Experience with cloud platforms such as AWS, Azure, or GCP, or ML platforms such as Databricks Exposure to evaluating LLM-based applications, including AI-as-a-judge approaches Experience with Generative AI techniques such as retrieval-augmented generation, fine-tuning ...

audiences. Demonstrated capability to guide engineering teams and influence technical strategy. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...

will work across the following: Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data … meet both technical and business needs We are looking for experience in the following: Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering ...

role for you. As a Data Engineering Manager, you will: Lead delivery of cloud-scale data engineering programmes and platform migration initiatives across Azure, Databricks, Microsoft Fabric, Snowflake, AWS and GCP Drive AI-assisted pipeline development as standard engineering practice setting team norms around the use of GenAI tooling … looking for significant experience in the following: Design and delivery of cloud-scale data engineering solutions across one or more of: Azure, Databricks, Microsoft Fabric, Snowflake, AWS or GCP AI-assisted pipeline development proven experience using GenAI tooling to accelerate engineering delivery and governing the quality of outputs Data quality ...

maintain cloud infrastructure on AWS using Terraform, including networking, security, compute, storage, and managed services, following infrastructure-as-code best practices Develop and manage Databricks platform capabilities including workspaces, clusters, policies, jobs, libraries, and integrations to support production-grade data workloads Build automation around platform provisioning and operations using Python … relevant to cloud data platforms, such as VPC, IAM, S3, EC2/ECS/EKS, RDS, KMS, CloudWatch, and load balancing Working experience with Databricks, including platform administration and/or building and supporting production workloads Proficiency in Python (preferred) or Java, with demonstrated ability to build automation, tooling ...

firm Build and operate reliable data pipelines that ingest, transform, validate, and publish metric datasets to power analytics experiences, integrating with platforms such as Databricks as needed Design, build, and maintain secure, scalable backend services and REST APIs that enable metric consumption and power the user interface Define and validate … handling, and performance optimization Experience deploying and operating services on cloud or container platforms (e.g., AWS, Kubernetes, or equivalent enterprise platforms) Experience integrating with Databricks to produce curated, dashboard-ready datasets, including layered data product patterns (e.g., bronze/silver/gold or equivalent) with clear contracts and quality controls ...

Manager, you will: Lead delivery of enterprise-scale cloud platform programmes, driving the design and implementation of AI-native infrastructure across Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake Architect and oversee AI-ready platform environments from the outset designing for the compute, networking, storage and security requirements of GenAI … looking for significant experience in the following: Design and delivery of enterprise-scale cloud platforms across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Advanced Infrastructure as Code capabilities (Terraform, Bicep, CloudFormation or similar) including AI-assisted IaC generation and governance CI/CD platform design ...