1 to 25 of 47 Scala Jobs in Yorkshire

UK for at least the past 5 years and being a UK national or dual UK national. Experience in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Experience with the design, build and maintenance More ❯

. Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights More ❯

. Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights More ❯

. Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights More ❯

. Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights More ❯

. Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights More ❯

. Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights More ❯

. Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights More ❯

a client delivery team, working to the highest technical standards. What will you need to do it? Experience in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Experience with the design, build and maintenance More ❯

life balance Responsibilities: Lead client delivery, ensuring high standards Bring experience in cloud data engineering and contribute to team solutions Requirements: Experience with Python, Scala, Spark, SQL Knowledge of database technologies (Oracle, MySQL, MongoDB, etc.) Design, build, and maintain data pipelines and infrastructure Understanding of data security and system architecture More ❯

QuickSight. Understanding of data modeling, ETL, and data warehousing concepts. Experience with statistical analysis, data mining, and machine learning. Proficiency in Python, R, or Scala for data analysis. Experience with SQL and NoSQL databases, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics More ❯

processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. More ❯

into pipelines. Experience with cloud platforms (AWS - Preferred, GCP, Azure) for testing and deploying data solutions. Proficiency in any programming languages (Python - Prferred, Java, Scala, or similar) for developing test automation scripts and frameworks. Proficiency with automation testing frameworks (Cucumber, Gherkin, TestNG, or similar) for data testing workloads. Knowledge of More ❯

solution development. Requirements Expertise in data engineering, analytics, architecture, or security using at least one cloud platform (AWS, Azure, GCP). Proficiency in Python, Scala, Spark, SQL. Experience with database technologies like Oracle, MySQL, MongoDB from an application development perspective. Leadership in designing, building, and maintaining data pipelines and infrastructure. More ❯

/analytics/architecture/security using native technologies of least one cloud platform (AWS, Azure, GCP) Expertise in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Expertise in leading the design, build and More ❯

/analytics/architecture/security using native technologies of least one cloud platform (AWS, Azure, GCP) Expertise in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Expertise in leading the design, build and More ❯

experience writing ETL scripts and code to make sure the ETL processes perform optimally. Experience in other programming languages for data manipulation (e.g., Python, Scala). Extensive experience of data engineering and the development of data ingest and transformation routines and services using modern, cloud-based approaches and technologies. Understanding More ❯

experience writing ETL scripts and code to make sure the ETL processes perform optimally. Experience in other programming languages for data manipulation (e.g., Python, Scala). Extensive experience of data engineering and the development of data ingest and transformation routines and services using modern, cloud-based approaches and technologies. Understanding More ❯

demonstrate an understanding of the commercial impact of their activities Provable knowledge of at least one of the following languages or equivalents: Python, R, Scala, Java Experience with common data science toolkits, such as scikit-learn, pandas, R, Weka; excellence in more than one of these is highly desirable Good More ❯

While SQL is a language everybody on the team knows very well, Snowflake is fast evolving to allow native integrations with Python, Java and Scala & with Snowpark , if you have experience with Spark you will definitely be able to put these skills to good use. DataOps or DevOps for data More ❯

demonstrate an understanding of the commercial impact of their activities Provable knowledge of at least one of the following languages or equivalents: Python, R, Scala, Java Experience with common data science toolkits, such as scikit-learn, pandas, R, Weka; excellence in more than one of these is highly desirable Good More ❯

have experience with GCP, Data Products, Data Mesh, ETL, EDW Composer, BigQuery, DataProc, DBT, Spark, Hive, Kafka, Pub-Sub, Jira, GCP Dataflow, BigTable, Python, Scala, Java, .NET, ANSI SQL, Airflow, Shell Scripts, Control-M, Git, CI & CD, HDFS, Unix File System, RDBMS, Azure DevOps, Harness. More about the role: Define More ❯

description: Proficiency in GCP, Data Products, Data Mesh, ETL, EDW Composer, BigQuery, DataProc, DBT, Spark, Hive, Kafka, Pub-Sub, Jira, GCP Dataflow, BigTable, Python, Scala, Java, .NET, ANSI SQL, Airflow, Shell Scripts, Control-M, Git, CI & CD, HDFS, Unix File System, RDBMS, Azure DevOps, Harness. More about the role: Able More ❯

AI Foundry is advantageous. Be familiar with software engineering best practices (version control, CI/CD, code reviews), with some exposure to Java/Scala for Databricks as a plus. Have experience deploying or integrating models with front-end or back-end systems, APIs, microservices, or other relevant services, including More ❯

2+ years of hands-on experience with Prophecy (Using pyspark) approach 5+ years of experience in data engineering with tools such as Spark, Databricks,scala/Pyspark or SQL Strong understanding of ETL/ELT pipelines, distributed data processing and data lake architecture. Having exposure to ETL tools such as More ❯