51 to 75 of 94 Apache Spark Jobs in England

source models or integrating with managed foundation model platforms. Hands-on experience building data pipelines and model workflows using tools such as Python, SQL, Spark or similar data processing technologies. Experience deploying and operating AI systems in cloud environments using containerisation, managed ML services or serverless architectures. Understanding ...

MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks. Proficiency with data processing and storage technologies (eg SQL, Spark) Strong stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences. SUSTAINABLE BUSINESS Passion and curiosity to tackle ...

Azure Key Vault, Azure Monitor, Azure Log Analytics, Azure API Management (APIM), Azure DevOps. Databases : SQL Server, Oracle, PostgreSQL, Delta Lake Big Data : Apache Spark Version Control : GitHub, Git, Azure DevOps Visualization : Power BI & Integration with REST APIs for custom dashboards. Data Integration & Workflow Orchestration : Azure Data Factory ...

translate business needs into technical roadmaps What were looking for Strong experience in data architecture & large-scale systems design Expertise across Python, SQL, Spark, Scala Deep knowledge of AI/ML frameworks and modern data platforms Experience with cloud-native architecture and DevOps (Kubernetes, Terraform, CI/CD) Proven ...

Docker and Kubernetes is a plus. Experience designing end to end ML data pipelines. Experience with database technologies such as PostgreSQL, MySQL, or MongoDB, Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus. Direct experience in building and applying large-scale (100M+ users) machine learning ...

experience in software engineering, MLOps, and deploying machine learning models at scale.* Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure).* Industry knowledge: Experience in gaming or digital entertainment is a strong plus. ...

experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience in gaming or digital entertainment is a strong plus. ...

manage multiple priorities and respond calmly to issues. • Self-motivated with a collaborative approach. Preferred: • Familiarity with AWS data tooling such as S3, Athena, Spark or notebooks. • Experience supporting data products or client-facing datasets. • Understanding of release testing, UAT or production support processes. • Exposure to Jira/Agile ...

manage multiple priorities and respond calmly to issues. • Self-motivated with a collaborative approach. Preferred: • Familiarity with AWS data tooling such as S3, Athena, Spark or notebooks. • Experience supporting data products or client-facing datasets. • Understanding of release testing, UAT or production support processes. • Exposure to Jira/Agile ...

expand their Devops team (multiple roles). Key requirements: Strong experience with AWS services and infrastructure as code using Terraform Data engineering expertise using Apache Spark and Python, including development in Jupyter Notebooks Workflow orchestration and containerisation experience with Apache Airflow and Docker Version control ...

Proven experience with modern data platforms such as Snowflake (AI Data Cloud) and cloud‐native services. Good understanding of open‐source table formats, specifically Apache Iceberg , to enable interoperability, schema evolution, and high‐performance analytics across multiple engines. Programming: Expert‐level proficiency in Java , Python and SQL . … Data & Orchestration: Hands‐on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt. Data Modeling: Deep understanding of data warehousing and modern data lakehouse architecture. Leadership & Soft Skills Mentorship: Proven track record of upskilling junior and senior engineers. Communication: Ability to explain complex technical ...

data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What ...

large-scale analytics platforms Expert knowledge of Quantexa, Entity Resolution (ER), Scoring Framework, Contextual Network Generation Expertise in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Strong stakeholder management and communication skills - capable of interfacing with both business and technical audiences. The work is heavily weighted toward ...

record of reducing fraud actors at scale, with strong type-1 and type-2 error estimates. Experience working with technologies like Athena/Trino, Spark, AML, CI/CD, and Tableau. ...

data science or statistical role. Expertise in advanced analytics techniques including machine learning, optimisation and segmentation. Strong proficiency in Python, SQL and Spark SQL. Experience working with large datasets and distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory ...

applying emerging ML techniques. Desirable: Experience with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes). Exposure to big data technologies (Spark, Hadoop) and Apache tools. Knowledge of NLP, computer vision, and deep learning architectures. Familiarity with Agile and DevOps practices. STEM degree or equivalent experience ...

Job summary COVID-19 has reinforced the impact that threats to health can have on society and the economy and driven health security as a critical component of our national security architecture. The United Kingdom ...

data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What ...

Informatica or DataStage. Knowledge of Unix/Linux scripting. Preferred Qualifications Experience in Teradata migration projects. Knowledge of GCP is a plus. Experience with Apache Spark is a plus. Experience with DataStage or similar ETL tools. ...

Spring, Spring Boot Experience working with DevOps methodologies and scalable CI/CD pipelines Microservices Architecture Exposure to Big Data technologies such as: Kafka, Spark, Hadoop etc Strong understanding of clean code principles Experience working with AWS Cloud Kotlin experience (preferred ...

with Git, Python, and Ansible Familiarity with containers (Docker, Kubernetes, LXC) Experience with monitoring tools and SQL databases Exposure to big data systems (e.g., Spark, HDFS, Airflow) Summary A great opportunity for someone who enjoys solving complex infrastructure challenges, automating systems, and working closely with engineering teams. Spectrum ...

with Git, Python, and Ansible Familiarity with containers (Docker, Kubernetes, LXC) Experience with monitoring tools and SQL databases Exposure to big data systems (e.g., Spark, HDFS, Airflow) Summary A great opportunity for someone who enjoys solving complex infrastructure challenges, automating systems, and working closely with engineering teams. Spectrum ...

Kafka, messaging systems, and event-driven architecture Cloud-native development (AWS or similar) Reactive programming (Spring WebFlux) Big Data/streaming technologies such as Spark, Storm, Cassandra, Elasticsearch, HBase Experience with highly available, resilient systems using clustering and load balancing ...

team Exposure to sectors such as defence, public sector and consumer/retail Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential) A mix of technical, product and operational experience - comfortable ...

facing products Experience in ML Ops and deploying machine learning mode at scale. Proficiency in Python, and familiarity with data processing technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Ability to work on a hybrid work basis requiring at least 3 days ...