1 to 25 of 455 Python Jobs in the North of England

DevOps Engineer - FinTech - Newcastle (Tech stack: DevOps Engineer, PowerShell, C#, Java, Python, Ansible, Terraform, Docker, Kubernetes, Docker Swarm, ELK, Grafana, CI/CD, TeamCity, SQL Server, Windows, Linux, Programmer, Developer, Architect, DevOps Engineer) Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design and build advanced trading and analytics platforms used globally by More ❯

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 ❯

and Infrastructure as Code (e.g., Terraform, CloudFormation). • Hands-on experience with Kubernetes and container orchestration (OpenShift, EKS, AKS, Rancher, etc.). • Proficient in modern development languages such as Python, Go, Java etc. • Background in systems engineering and integration. • Sound understanding of DevOps methodologies and tooling. • Deep familiarity with CI/CD pipelines and version control (GitLab, Bitbucket, Git). 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 ❯

a huge impact to the security of the UK. About you You will have experience in many of the following: Programming in one or more of JavaScript, Java, .Net, Python Collaboratively designing and building Proof of Concept or Production systems Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce Utilising CI/CD tools, such as More ❯

Azure Bicep and Terraform. Experience in deploying a broad range of Azure resource types, including (not limited to) Storage accounts, Virtual machines, Synapse Databricks. Strong scripting skills in PowerShell, Python, or similar. Hands-on experience with continuous integration and continuous delivery (CI/CD) pipelines. Working knowledge of Azure services. Familiarity with version control systems, especially Git. Experience with monitoring More ❯

for candidates with a blend of the following: Proven experience as a Data Engineer, with strong background in designing and implementing data solutions in an Agile environment Proficiency in Python, Java or Scala, plus experience with SQL and NoSQL databases Experience with Microsoft SQL Server and SSRS Familiarity with cloud platforms (AWS, Azure or GCP) and containerisation (Docker, Kubernetes) Strong More ❯

frameworks and design patterns. Create middleware and intranet applications that streamline internal workflows and communication between distributed systems. Write clean, maintainable, and efficient code across multiple languages (C#, PHP, Python, JavaScript). Develop and consume REST APIs, ensuring secure, performant communication between services. Ensure scalability and resilience in applications handling large volumes of traffic and burst events. Work collaboratively with 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 ❯

Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such as BitBucket Data Warehouse/Kimball methodology Data replication technology such as Fivetran HVR. Excellent problem-solving More ❯

You’ll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion More ❯

be responsible for designing, implementing, and managing automation solutions to improve the scalability and efficiency of our Windows server environments and hypervisor platforms. Responsibilities: Develop and maintain PowerShell and Python scripts/tooling to automate routine Windows Server tasks.Design and implement automation workflows for server provisioning, configuration, and management tasks.Manage and scale virtualized environments using various hypervisors.Integrate Ansible, Terraform, and More ❯

Basic understanding of networking devices and principles. Basic knowledge of Active Directory (Group Policies, OUs) and SQL Management Studio. Desirable Skills SQL query experience. Scripting skills (PowerShell, Bash or Python). Experience working within a software development environment. Background in software delivery or project-based services across multiple clients. Experience deploying or supporting ITAM, SAM or FinOps solutions. Awareness of More ❯

experience with automation testing tools such as Selenium, Cypress, JUnit, and TestNG, including development and maintenance of automation scripts. Strong proficiency in programming languages such as Java, JavaScript, or Python to develop robust test automation solutions. Expertise with defect tracking and test management tools like Jira, Trello, or equivalent. Solid knowledge of CI/CD pipelines and experience integrating automated More ❯

Subscriptions, vNets, Route Tables, NSGs, Azure Firewall, Application Gateway, Front Door, Key Vault, and monitoring/security tools like Azure Monitor, Policy, and Defender for Cloud. Desirable: Experience with python scripting and containerisation technologies such as Kubernetes, Azure Kubernetes Service (AKS), App services and Azure SQL. A collaborative mindset, with the ability to take ownership of tasks and see them More ❯

Strong understanding of encryption protocols, key management systems, and IAM best practices Hands-on experience with container security tools for Kubernetes and Docker environments. Advanced scripting and automation skills (Python, PowerShell, Bash, etc.) Demonstrated ability to navigate and implement compliance frameworks such as PCI DSS, GDPR, SOC 2, and ISO 27001. Familiarity with financial industry-specific security and privacy standards. More ❯

e.g., PCI digital keys, security access modules). Hands-on experience with offensive security techniques , including penetration testing and phishing simulations. Proficiency in programming or scripting languages (such as Python, Bash, or PowerShell) for automation or tooling. Experience with Infrastructure as Code (IaC) and its security implications is highly desirable. What We're Looking For A proactive, automation-first engineer More ❯

containerisation technologies such as Docker or Kubernetes, for example. - Experience with Infrastructure as code technologies like ansible or terraform. - Ideally a has a coding background, utilising languages such as Python, Java, Spring Boot- Strong communications abilities, with experience in stakeholder management. TO BE CONSIDERED:Please either apply through this advert or emailing me directly on . For further information please More ❯

role Strong technical proficiency in data modelling, data warehousing, and distributed systems Hands-on experience with cloud data services (AWS Redshift, Glue, EMR or equivalent) Solid programming skills in Python and SQL Familiarity with DevOps practices (CI/CD, Infrastructure as Code - e.g., Terraform) Excellent communication skills with both technical and non-technical audiences Experience with Agile/Scrum methodologies 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 ❯

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 ❯

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 ❯

AWS or GCP). Desirable: Background in recruitment or professional services. Knowledge of CRM/ATS systems and their integration with MDM platforms. Experience with Power BI, SQL or Python for data validation and reporting. Exposure to Microsoft Fabric. What's on Offer A genuine opportunity to build and own the organisation's MDM vision from the ground up. A More ❯

experience in data analysis and visualisation, particularly using Power BI, Excel, and SQL. Hands-on knowledge of predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience with cloud-based data environments like Microsoft Azure, AWS, or Google Cloud. Confidence in working with large, complex data sets, including data cleansing, transformation More ❯

experience in data analysis and visualisation, particularly using Power BI, Excel, and SQL. Hands-on knowledge of predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience with cloud-based data environments like Microsoft Azure, AWS, or Google Cloud. Confidence in working with large, complex data sets, including data cleansing, transformation More ❯