1 to 25 of 3,171 Permanent Python Jobs in the UK

architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using ...

intelligent decision‐making.\ N \nKey Responsibilities\ N \nDataPipeline Development\ N\n\nBuild, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark.\ N\n\nDevelop and support real‐time streaming pipelines and event‐driven integrations.\ N\n\nIntegrate data from multiple sources (streaming ...

technical ownership, autonomy, and adaptability. While the initial project will involve TypeScript-focused development, the company is open to engineers from strong Java or Python backgrounds who are comfortable learning new technologies and working across a modern engineering stack. This role would particularly suit someone who enjoys solving complex engineering … commercial software engineering experience in large-scale production or enterprise environments High proficiency in at least one core backend language such as Java or Python Experience building scalable backend systems, APIs, and modern applications Exposure to TypeScript/Node.js or a strong willingness to work with and learn modern TypeScript ...

data analytics tools (e.g. Power BI) Deep understanding of data warehousing concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability ...

processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services. Strong programming skills in Python, Java, or Scala for data engineering. Hands-on experience with data orchestration and workflow management tools (e.g., Airflow, Dagster, Prefect). Proven track record with ...

processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services. Strong programming skills in Python, Java, or Scala for data engineering. Hands-on experience with data orchestration and workflow management tools (e.g., Airflow, Dagster, Prefect). Proven track record with ...

with Azure and/or AWS CLI and SDK tools. Knowledge of Linux and Windows server operating systems. Expertise in scripting languages such as Python, PowerShell & Shell. Strong incident fault finding skills and experience. Familiarity with ITSM, Agile methodologies and tools eg Azure DevOps, ServiceNow Good communication and problem-solving ...

frameworks (e.g., LangChain, LlamaIndex). Understanding of system design and secure deployment practices. Strong software engineering and machine learning skills. This includes proficiency in Python and other languages (eg Typescript etc Go, C#, Rust etc) Proficiency in at least one programming language (eg Python, Scala etc) plus SQL . Proficiency … compliance. Hands on experience with ML tooling and infrastructure such as MLflow, Snowflake, Databricks, SageMaker or Azure Machine Learning and automation tools (e.g., Terraform, Python). Experience of CI/CD pipelines and source control systems (eg Git). Strong hands-on experience with supervised, unsupervised, and generative models. Experience ...

Retrieval Augmented Generation) implementation experience NLP and Conversational AI development Model training, testing and evaluation Prompt Engineering and AI workflow optimisation Programming & Frameworks Strong Python development skills PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering ...

Flink, Hadoop).\n \n \nDeep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services.\n \n \nStrong programming skills in Python, Java, or Scala for data engineering.\n \n \nHands-on experience with data orchestration and workflow management tools (e.g., Airflow, Dagster, Prefect). ...

Flink, Hadoop).\ N\n\nDeep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services.\ N\n\nStrong programming skills in Python, Java, or Scala for data engineering.\ N\n\nHands-onexperience with data orchestration and workflow management tools (e.G., Airflow, Dagster, Prefect).\ N\n\nProven ...

with Azure and/or AWS CLI and SDK tools.\ NKnowledge of Linux and Windows server operating systems.\ NExpertise in scripting languages such as Python, PowerShell & Shell.\ NStrong incident fault finding skills and experience.\ NFamiliarity with ITSM, Agile methodologies and tools eg Azure DevOps, ServiceNow\ NGood communication and problem-solving ...

data/analytics engineering with a focus on building data pipelines. ● Proficiency in SQL and experience with one or more programming languages such as Python, Java. ● Experience with modern cloud data warehouse platforms such as Snowflake, BigQuery, Redshift or similar. ● Experience with cloud-based data platforms, particularly AWS or GCP. ...

data/analytics engineering with a focus on building data pipelines. Proficiency in SQL and experience with one or more programming languages such as Python, Java. Experience with modern cloud data warehouse platforms such as Snowflake, BigQuery, Redshift or similar. Experience with cloud-based data platforms, particularly AWS or GCP. ...

operation, observability and resilience of production data platforms. \n\n Skills Required \n \n Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. \n Hands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.g. Apache ...

containerised environments.Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark ...

environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark ...

operation, observability and resilience of production data platforms.\ N\n \nSkills Required \ N \n\nExperience in data engineering using modern programming languages such as Python, Java or Scala, and SQL.\ NHands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.G. Apache Spark ...

ongoing operation, observability and resilience of production data platforms.\ N\nSkills Required \ N\nExperience in data engineering using modern programming languages such as Python, Java or Scala, and SQL.\ NHands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.G. Apache Spark, Hadoop ...

Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Experience, Skills and Competencies We are looking for candidates with experience in one or more Data & AI disciplines. Candidates do not need … relevant discipline (e.g. Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Business Analytics). Proficiency in SQL and at least one of Python, R, DAX or Power Query. Strong analytical and problem-solving skills with messy or incomplete data. Ability to translate business requirements into clear data or technical outputs. ...

delivarable pieces of work and milestones Develop and maintain infrastructure for deploying ML models in both real-time and batch environments. Build and maintain Python APIs (Flask/FastAPI) to serve ML models. Collaborate with cross discipline engineers to integrate ML services into user-facing applications. Work with platform engineers … with data scientists, data engineers and other technical teams in order to help support maturation of analytics practice within the organization Writing high quality python code using industry best practice for model training and deployment Person Specification To succeed in this role, you’ll typically have: Bachelor's/Master ...

requirements into technical solutions. Create and maintain technical documentation, standards, and knowledge repositories. Your Profile: Essential skills/knowledge/experience Strong proficiency in Python, PySpark, Spark SQL, DataFrame APIs, Structured Streaming, and Java. Experience developing and maintaining large-scale data processing and mastering pipelines using PySpark. Strong experience working … Experience using Jinja2 for configuration management or code generation. Familiarity with SonarQube for code quality and security analysis. Experience working within monorepo environments and Python package management frameworks. Experience preparing and optimising datasets for Power BI reporting and analytics. Knowledge of OneLake, Azure Data Lake, and distributed cloud data platforms. ...

software development and machine learning engineering Core Technical Skills Strong expertise in designing large-scale machine learning systems and architectures Advanced programming skills (Python preferred) with experience in frameworks and tools such as JavaScript, Kafka, and reactive systems Extensive experience with cloud-based development, particularly on Azure, including AI/ ...

Active SC Clearance or eligibility to obtain SC clearance. Strong experience as a Data Engineer in enterprise or government environments. Proficiency in SQL and Python for data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache ...

experience in data/analytics engineering with a focus on building datapipelines.● Proficiency in SQL and experience with one or more programming languages suchas Python, Java.● Experience with modern cloud data warehouse platforms such as Snowflake,BigQuery, Redshift or similar.\ N● Experience with cloud-based data platforms, particularly ...