176 to 200 of 308 Apache Spark Jobs in England

or similar languages (e.g. Java or Python) Software collaboration and revision control (e.g. Git or SVN) Desired skills and experiences: ElasticSearch/Kibana Cloud computing (e.g. AWS) Hadoop/Spark etc. Graph Databases Educational level: Master Degree Tagged as: Clustering , Data Mining , Industry , Information Retrieval , Master Degree , Sentiment Analysis , United Kingdom More ❯

and verbal Preferred (but not required) to have: Experience with large, global Financial Services & Banking customers Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with data science and machine learning technology People want to buy from people who understand them. Our Solution Engineers build connections More ❯

Terraform. Experience with observability stacks (Grafana, Prometheus, OpenTelemetry). Familiarity with Postgres. Interest in data-privacy, AdTech/MarTech or large-scale data processing. Familiarity with Kafka, gRPC or Apache Spark. As well as working as part of an amazing, engaging and collaborative team, we offer our staff a wide range of benefits to motivate them to be the More ❯

there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS 7+ years of technical specialist, design and architecture experience 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience 7+ years of consulting, design and implementation of serverless distributed solutions experience 5+ years of software development with object-oriented language experience 3+ years of cloud More ❯

Analytics, Azure Data Factory, Azure Purview). • Deep understanding and practical experience in designing and implementing medallion data lake architectures. • Strong knowledge of data warehousing, big data technologies (including Spark), and distributed systems. • Proficiency in data modelling techniques (conceptual, logical, physical) and data quality frameworks. • Proven experience in developing and implementing QA strategies, test plans, and automated testing for More ❯

Analytics, Azure Data Factory, Azure Purview). Deep understanding and practical experience in designing and implementing medallion data lake architectures. Strong knowledge of data warehousing, big data technologies (including Spark), and distributed systems. Proficiency in data modelling techniques (conceptual, logical, physical) and data quality frameworks. Proven experience in developing and implementing QA strategies, test plans, and automated testing for More ❯

for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively More ❯

for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively More ❯

for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively More ❯

for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively More ❯

for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively More ❯

hold or gain a UK government security clearance. Preferred technical and professional experience Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Familiarity with big data technologies (Hadoop, Spark). Background in data science, IT consulting, or a related field. AWS Certified Big Data or equivalent ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional More ❯

IV, IFRS 9, CRD4). Strong leadership and stakeholder engagement skills. 15+ years in software development and cloud engineering, ideally in financial services. Experience with big data frameworks (e.g., Apache Beam, Spark) and data governance tools. About working for us Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues More ❯

IV, IFRS 9, CRD4). Strong leadership and stakeholder engagement skills. 15+ years in software development and cloud engineering, ideally in financial services. Experience with big data frameworks (e.g., Apache Beam, Spark) and data governance tools. About working for us Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues More ❯

adoption in Fortune 500 organizations in markets such as: Finance, Media, Retail, Telco, Energy, and Healthcare Implement a project schedule with experience with customer engagement Experience with Databricks products, Spark ecosystem, and direct competitors Travel is required up to 10%, more at peak times. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide … Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯

on experience with cloud platforms like AWS, Azure, GCP, or Snowflake. Strong knowledge of data governance, compliance, and security standards (GDPR, CCPA). Proficiency in big data technologies like Apache Spark and understanding of data product strategies. Strong leadership and stakeholder management skills in Agile delivery environments. Package: £90,000 - £115,000 base salary Bonus Pension and company More ❯

cloud, preferably AWS, is preferred. Extensive background in software architecture and solution design, with deep expertise in microservices, distributed systems, and cloud-native architectures. Advanced proficiency in Python and Apache Spark, with a strong focus on ETL data processing and scalable data engineering workflows. In-depth technical knowledge of AWS data services, with hands-on experience implementing data More ❯

cloud, preferably AWS, is preferred. Extensive background in software architecture and solution design, with deep expertise in microservices, distributed systems, and cloud-native architectures. Advanced proficiency in Python and Apache Spark, with a strong focus on ETL data processing and scalable data engineering workflows. In-depth technical knowledge of AWS data services, with hands-on experience implementing data More ❯

Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯

cloud, preferably AWS, is preferred. Extensive background in software architecture and solution design, with deep expertise in microservices, distributed systems, and cloud-native architectures. Advanced proficiency in Python and Apache Spark, with a strong focus on ETL data processing and scalable data engineering workflows. In-depth technical knowledge of AWS data services, with hands-on experience implementing data More ❯

cloud, preferably AWS, is preferred. Extensive background in software architecture and solution design, with deep expertise in microservices, distributed systems, and cloud-native architectures. Advanced proficiency in Python and Apache Spark, with a strong focus on ETL data processing and scalable data engineering workflows. In-depth technical knowledge of AWS data services, with hands-on experience implementing data More ❯

Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please note - this role cannot offer visa sponsorship. More ❯

or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please note - this role cannot offer visa sponsorship. More ❯