1 to 25 of 27 Apache Spark Jobs in the East of England

technology (AWS or Azure). Strong experience with creation of data ingestion pipeline and ET process. Strong knowledge of big data tool such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong ...

technology (AWS or Azure). Strong experience with creation of data ingestion pipeline and ET process. Strong knowledge of big data tool such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong ...

technology (AWS or Azure). Strong experience with creation of data ingestion pipeline and ET process. Strong knowledge of big data tool such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong ...

technology (AWS or Azure). Strong experience with creation of data ingestion pipeline and ET process. Strong knowledge of big data tool such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong ...

technology (AWS or Azure). Strong experience with creation of data ingestion pipeline and ET process. Strong knowledge of big data tool such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong ...

technology (AWS or Azure). Strong experience with creation of data ingestion pipeline and ET process. Strong knowledge of big data tool such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong ...

technology (AWS or Azure). Strong experience with creation of data ingestion pipeline and ET process. Strong knowledge of big data tool such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong ...

technology (AWS or Azure). Strong experience with creation of data ingestion pipeline and ET process. Strong knowledge of big data tool such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong ...

also have Experience developing or using AI applications Experience with NoSQL databases (e.g. MongoDB). Experience with big data processing frameworks (e.g. Apache Spark). Knowledge of Large Language Model (LLM) integration, Retrieval-Augmented Generation (RAG), or Agentic AI frameworks. Experience with high-performance computing (HPC) environments (e.g. ...

focused organization Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming Why Join Gain exposure to cutting-edge AI research workflows ...

focused organization Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming Why Join Gain exposure to cutting-edge AI research workflows ...

focused organization Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming Why Join Gain exposure to cutting-edge AI research workflows ...

focused organization Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming Why Join Gain exposure to cutting-edge AI research workflows ...

focused organization Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming Why Join Gain exposure to cutting-edge AI research workflows ...

focused organization Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming Why Join Gain exposure to cutting-edge AI research workflows ...

kubernetes) Experience with Key value stores Experience in git and basic Unix Commands You might also have (Desirable) Experience with large data processing technologies (Apache Spark) Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance ...

analytics tools Familiarity with industry common BI and ETL solutions Hands-on experience in a technical role leveraging SQL, Python, Java and/or Spark to build, operate and maintain data analytics solutions Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum ...

analytics tools Familiarity with industry common BI and ETL solutions Hands-on experience in a technical role leveraging SQL, Python, Java and/or Spark to build, operate and maintain data analytics solutions Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum ...

analytics tools Familiarity with industry common BI and ETL solutions Hands-on experience in a technical role leveraging SQL, Python, Java and/or Spark to build, operate and maintain data analytics solutions Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum ...

analytics tools Familiarity with industry common BI and ETL solutions Hands-on experience in a technical role leveraging SQL, Python, Java and/or Spark to build, operate and maintain data analytics solutions Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum ...

your specific data industry experience to keep our curriculum cutting-edge. This involves iterating on materials to reflect modern stacks (e.g. cloud data engineering, Apache Airflow, Kafka). You will collaborate with the Curriculum team to design highly effective educational experiences that give learners the AI and Data skills … data modelling, and managing data warehouses (experience with DBT is a plus). Pipelines & Orchestration: Familiarity with building data pipelines, covering batch processing (e.g., Apache Airflow) and an understanding of stream processing (e.g., Kafka/Spark). Data Statistics & Analytics: A strong grasp of statistical concepts (distributions, regression ...

your specific data industry experience to keep our curriculum cutting-edge. This involves iterating on materials to reflect modern stacks (e.g. cloud data engineering, Apache Airflow, Kafka). You will collaborate with the Curriculum team to design highly effective educational experiences that give learners the AI and Data skills … data modelling, and managing data warehouses (experience with DBT is a plus). Pipelines & Orchestration: Familiarity with building data pipelines, covering batch processing (e.g., Apache Airflow) and an understanding of stream processing (e.g., Kafka/Spark). Data Statistics & Analytics: A strong grasp of statistical concepts (distributions, regression ...

your specific data industry experience to keep our curriculum cutting-edge. This involves iterating on materials to reflect modern stacks (e.g. cloud data engineering, Apache Airflow, Kafka). You will collaborate with the Curriculum team to design highly effective educational experiences that give learners the AI and Data skills … data modelling, and managing data warehouses (experience with DBT is a plus). Pipelines & Orchestration: Familiarity with building data pipelines, covering batch processing (e.g., Apache Airflow) and an understanding of stream processing (e.g., Kafka/Spark). Data Statistics & Analytics: A strong grasp of statistical concepts (distributions, regression ...

your specific data industry experience to keep our curriculum cutting-edge. This involves iterating on materials to reflect modern stacks (e.g. cloud data engineering, Apache Airflow, Kafka). You will collaborate with the Curriculum team to design highly effective educational experiences that give learners the AI and Data skills … data modelling, and managing data warehouses (experience with DBT is a plus). Pipelines & Orchestration: Familiarity with building data pipelines, covering batch processing (e.g., Apache Airflow) and an understanding of stream processing (e.g., Kafka/Spark). Data Statistics & Analytics: A strong grasp of statistical concepts (distributions, regression ...

your specific data industry experience to keep our curriculum cutting-edge. This involves iterating on materials to reflect modern stacks (e.g. cloud data engineering, Apache Airflow, Kafka). You will collaborate with the Curriculum team to design highly effective educational experiences that give learners the AI and Data skills … data modelling, and managing data warehouses (experience with DBT is a plus). Pipelines & Orchestration: Familiarity with building data pipelines, covering batch processing (e.g., Apache Airflow) and an understanding of stream processing (e.g., Kafka/Spark). Data Statistics & Analytics: A strong grasp of statistical concepts (distributions, regression ...