101 to 113 of 113 Apache Spark Jobs in the UK excluding London

environment. Please see further details below: Skillset: Strong Kubernetes experience, we want to see people who have worked on Kubernetes implementation, involved in architecture, hands on migration etc K8S, Spark S3 Engine Terraform Ansible CI/CD Hadoop Linux/RHEL – on prem background/container management Grafana or Elastic Search– for observability Kubernetes security Nice to have: Observability More ❯

environment. Please see further details below: Skillset: Strong Kubernetes experience, we want to see people who have worked on Kubernetes implementation, involved in architecture, hands on migration etc K8S, Spark S3 Engine Terraform Ansible CI/CD Hadoop Linux/RHEL – on prem background/container management Grafana or Elastic Search– for observability Kubernetes security Nice to have: Observability More ❯

environment. Please see further details below: Skillset: Strong Kubernetes experience, we want to see people who have worked on Kubernetes implementation, involved in architecture, hands on migration etc K8S, Spark S3 Engine Terraform Ansible CI/CD Hadoop Linux/RHEL – on prem background/container management Grafana or Elastic Search– for observability Kubernetes security Nice to have: Observability More ❯

environment. Please see further details below: Skillset: Strong Kubernetes experience, we want to see people who have worked on Kubernetes implementation, involved in architecture, hands on migration etc K8S, Spark S3 Engine Terraform Ansible CI/CD Hadoop Linux/RHEL – on prem background/container management Grafana or Elastic Search– for observability Kubernetes security Nice to have: Observability More ❯

environment. Please see further details below: Skillset: Strong Kubernetes experience, we want to see people who have worked on Kubernetes implementation, involved in architecture, hands on migration etc K8S, Spark S3 Engine Terraform Ansible CI/CD Hadoop Linux/RHEL – on prem background/container management Grafana or Elastic Search– for observability Kubernetes security Nice to have: Observability More ❯

environment. Please see further details below: Skillset: Strong Kubernetes experience, we want to see people who have worked on Kubernetes implementation, involved in architecture, hands on migration etc K8S, Spark S3 Engine Terraform Ansible CI/CD Hadoop Linux/RHEL – on prem background/container management Grafana or Elastic Search– for observability Kubernetes security Nice to have: Observability More ❯

models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in mining large & very complex data sets using SQL and Spark Have in depth understanding of statistical modelling techniques and their mathematical foundations, Have a good working knowledge of Pymc and cloud-based data science frameworks and toolkits. Working knowledge More ❯

impact. Deep technical expertise in Streaming Data, Event-Driven Architectures, and modern Data Lakehouse patterns—encompassing Data Products, ELT pipelines, Distributed Processing, Snowflake, and Data Governance. Proficient in Python, Spark, Java, and AWS Cloud (e.g. Serverless, DynamoDB). Fluent in modern software engineering principles , patterns, and practices, with the ability to embed and scale robust methodologies that drive quality More ❯

scale data environments. We're looking for a skilled Agentic AI Engineer to join our growing team and play a pivotal role in developing scalable, intelligent models using Python, Spark, and MCP-based infrastructure.Role Overview:As an Agentic AI Engineer, you will be responsible for designing and developing intelligent agents capable of autonomous decision-making in distributed environments. You … will leverage your expertise in Python and Spark to process large-scale data, and use modelling techniques to enable complex agentic behaviours. Experience working with MCP servers or similar distributed computing platforms is key.Key Responsibilities:Design and develop agentic AI systems that operate autonomously across diverse data sources and workflows.Implement scalable data processing pipelines using Apache Spark … reinforcement learning.Required Skills & Experience:4+ years of experience in AI/ML engineering or data-intensive systems.Strong proficiency in Python for AI, ML, and data engineering tasks.Deep experience with Apache Spark (PySpark or Scala-based implementations).Solid understanding and hands-on experience with modelling intelligent agents, including symbolic, neural, or hybrid approaches.Experience deploying to and managing workloads on More ❯

optimized processing. - Design and manage dynamic data models, ensuring adaptability based on evolving datasets. - Implement caching and filtering techniques to improve query performance. - Utilize big data technologies such as Apache Spark for large-scale data processing. - Apply AWS expertise, including Infrastructure-as-Code (IaC) for scalable deployment. - Work with SQL transpilers and predicate pushing to optimize query execution. More ❯

like GPT, DALL-E, and Stable Diffusion for real-world applications. • Build advanced ML solutions for classification, recommendations, and more. • Create scalable AI pipelines using tools like MLflow and Apache Spark. • Collaborate with teams to design AI systems for diverse industries. What You’ll Bring: • 4+ years of AI/ML experience, including Databricks expertise. • Proficiency in Python and More ❯

Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. You will gain experience in a diverse and exciting set of technologies and clients and have a real impact on Pendo's future. Our culture is More ❯

Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. You will gain experience in a diverse and exciting set of technologies and clients and have a real impact on Pendo's future. Our culture is More ❯