1 to 25 of 171 Permanent Python Jobs in Yorkshire

the world's leading financial institutions. Key Accountabilities Responsibilities will include: • Design, develop and maintain highly available, secure, and performant backend REST API services along with frontend client using Python, Golang, Docker and Cloud-Native services. • Implement and manage database schema changes using Liquibase, ensuring alignment with compliance and audit standards. • Build and maintain CI/CD pipelines in collaboration More ❯

AI and ML technologies. Tech Stack & Tools Essential Skills: 8+ years' experience in Java development (commercial) Strong expertise in Spring/Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS/ More ❯

with ideally 3+ years experience building and maintaining production systems Strong hands on experience with modern JavaScript/TypeScript frameworks, especially Next.js, React and React Native, other languages like Python/C#/PHP, a bonus Excellent communication skills and emotional intelligence - able to collaborate effectively and adapt your style when working with technical and non-technical people A collaborative More ❯

environment. Experience with SQL, NoSQL, and big data platforms (e.g., Hadoop, Spark). Knowledge of cloud security (AWS, Azure, GCP) and data access controls. Proficiency in scripting languages (e.g., Python, Bash) for automation. Certifications such as OSCP, CEH, CISSP, or GIAC are a plus. Experience with product management tools (e.g., Jira, Confluence, Azure DevOps). Background in SaaS, FinTech, HealthTech More ❯

and implementing end-to-end CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) and configuring Git runners for private cloud deployments. Scripting: Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for developing automation glue logic and utility scripts. Analytical Skills: Excellent ability to analyze complex technical problems, map out process flows (e.g., using BPMN or flow charts), and More ❯

and implementing end-to-end CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) and configuring Git runners for private cloud deployments. Scripting: Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for developing automation glue logic and utility scripts. Analytical Skills: Excellent ability to analyze complex technical problems, map out process flows (e.g., using BPMN or flow charts), and More ❯

and implementing end-to-end CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) and configuring Git runners for private cloud deployments. Scripting: Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for developing automation glue logic and utility scripts. Analytical Skills: Excellent ability to analyze complex technical problems, map out process flows (e.g., using BPMN or flow charts), and More ❯

and implementing end-to-end CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) and configuring Git runners for private cloud deployments. Scripting: Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for developing automation glue logic and utility scripts. Analytical Skills: Excellent ability to analyze complex technical problems, map out process flows (e.g., using BPMN or flow charts), and More ❯

and implementing end-to-end CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) and configuring Git runners for private cloud deployments. Scripting: Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for developing automation glue logic and utility scripts. Analytical Skills: Excellent ability to analyze complex technical problems, map out process flows (e.g., using BPMN or flow charts), and More ❯

and implementing end-to-end CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) and configuring Git runners for private cloud deployments. Scripting: Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for developing automation glue logic and utility scripts. Analytical Skills: Excellent ability to analyze complex technical problems, map out process flows (e.g., using BPMN or flow charts), and More ❯

and implementing end-to-end CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) and configuring Git runners for private cloud deployments. Scripting: Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for developing automation glue logic and utility scripts. Analytical Skills: Excellent ability to analyze complex technical problems, map out process flows (e.g., using BPMN or flow charts), and More ❯

Providing training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field More ❯

collaborating effectively with cross-functional teams (e.g., engineering, product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear More ❯

best practices and ensure compliance with relevant frameworks (CIS, NIST, ISO27001). Develop and maintain infrastructure as code (IaC) using Terraform or CloudFormation. Automate deployment and configuration processes using Python, PowerShell, or other scripting tools. Integrate AWS security logs and data flows with SIEM platforms (e.g., Splunk). Support live cloud environments through monitoring, troubleshooting, and performance optimisation. Collaborate effectively More ❯

best practices and ensure compliance with relevant frameworks (CIS, NIST, ISO27001). Develop and maintain infrastructure as code (IaC) using Terraform or CloudFormation. Automate deployment and configuration processes using Python, PowerShell, or other scripting tools. Integrate AWS security logs and data flows with SIEM platforms (e.g., Splunk). Support live cloud environments through monitoring, troubleshooting, and performance optimisation. Collaborate effectively More ❯

Analytics | Cloud Solutions | Digital Transformation | Industrial Automation | PLC | HMI | SCADA | IoT | Data Modelling | Data Visualisation | Business Intelligence | Agile Delivery | Continuous Improvement | Technical Leadership | Automation Strategy | Process Optimisation | Power Apps | Python | Data Governance | Data Integration | Data Warehousing | Robotics | IT Systems | Manufacturing Systems | Automation Projects | Artificial Intelligence More ❯

fulfil these requirements. In order to secure one of these Senior Data Engineer roles you must be able to demonstrate the following experience: 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 of data pipelines and More ❯

Experience with penetration testing, vulnerability management, and incident response. Familiarity with security tools such as SIEMs, IDS/IPS, firewalls, and endpoint security solutions. Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for security automation. Knowledge of cloud security (AWS, Azure, or Google Cloud) is a plus. Strong problem-solving and analytical skills. Certifications such as CISSP, OSCP, CEH, or More ❯

delivery of client-facing data projects across the full SDLC from design to migration, integration and live service in a multi-vendor environment Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other More ❯

knowledge Bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience. Experience and awareness in the following: Cloud Platforms: AWS Programming languages: JavaScript, Typescript, Python Frameworks: React Native Databases: NoSQL (DynamoDB), SQL AWS services: Lambda, S3, API Gateway, Step Functions, SQS, Athena DevOps and monitoring tools such as Datadog, New Relic, Grafana Desirable: Experience in More ❯

Degree in Computer Science, Physics, Mathematics, Engineering, or a related discipline Bonus Skills Experience with OpenVINO for AI inference and Intel hardware optimization Knowledge of C# (.NET integration) and Python (scripting/automation) Familiarity with Git, SVN, or other DevOps tools Experience with SQL for backend data handling Understanding of Agile delivery and Kanban methodologies You ll partner closely with More ❯

Degree in Computer Science, Physics, Mathematics, Engineering, or a related discipline Bonus Skills Experience with OpenVINO for AI inference and Intel hardware optimization Knowledge of C# (.NET integration) and Python (scripting/automation) Familiarity with Git, SVN, or other DevOps tools Experience with SQL for backend data handling Understanding of Agile delivery and Kanban methodologies You’ll partner closely with More ❯

with at least 2 years in an architectural or leadership role. Strong understanding of architectural patterns (e.g., microservices, layered, serverless). Proficiency in programming languages such as Java, C#, Python, or JavaScript/TypeScript. Hands-on experience with cloud platforms (in particular Azure) Excellent communication and stakeholder engagement skills. Desirable: Experience in enterprise application integration (EAI). Knowledge of data More ❯

with at least 2 years in an architectural or leadership role. Strong understanding of architectural patterns (e.g., microservices, layered, serverless). Proficiency in programming languages such as Java, C#, Python, or JavaScript/TypeScript. Hands-on experience with cloud platforms (in particular Azure) Excellent communication and stakeholder engagement skills. Desirable: Experience in enterprise application integration (EAI). Knowledge of data More ❯

able to demonstrate the following experience: Commercial experience gained in a Data Engineering role on any major cloud platform (Azure, AWS or GCP) 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. Some experience with the design, build and maintenance of data pipelines More ❯