1 to 25 of 445 Python Jobs in the North West

scalability. Build and maintain CI/CD pipelines using tools such as Jenkins, Bamboo, or Bitbucket . Write clean, maintainable, and efficient code in one or more languages (e.g. Python, Java, JavaScript, or .NET ). Implement automated testing, code reviews, and quality assurance practices. Lead Agile delivery practices, contributing to sprint planning and retrospectives. Collaborate with architects, developers, and DevOps More ❯

lead on technical design and implementation decisions. Build and manage CI/CD pipelines using tools like Jenkins, Bamboo, or Bitbucket. Develop clean, maintainable code in languages such as Python, Java, JavaScript, or .NET. Implement automated testing and continuous integration practices. Drive Agile delivery through sprint planning and retrospectives. Collaborate with developers, architects, and DevOps teams to ensure seamless delivery. More ❯

with containerisation (e.g., Docker, Kubernetes) and microservices architectures is a plus. Skills: Strong knowledge of IT infrastructure, virtualisation technologies, and network management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). Familiarity with CI/CD pipelines and deployment automation. Experience with environment monitoring tools (e.g., Prometheus, Nagios, Datadog). Knowledge of security best practices and compliance standards in More ❯

years' experience in software engineering, including at least 2 years in a senior or lead role. Strong proficiency in one or more core languages such as C#, Java, Python, or JavaScript/React). Experience with relational and non-relational databases (SQL Server, MySQL, MongoDB, etc.). Understanding of cloud-based environments (AWS, Azure, or Google Cloud) and containerisation (Docker More ❯

or cloud engineering, including 3+ years hands-on Microsoft Azure experience. Expertise in Azure-native services, cloud networking, security, and automation. Proficiency with PowerShell, Azure CLI, and/or Python scripting. Solid understanding of DevOps principles, tools, and CI/CD pipelines using Azure DevOps, Git, and GitHub. Experience with Docker and Kubernetes containerization and orchestration. Familiarity with monitoring and More ❯

orchestration platforms (Kubernetes) • Strong knowledge of Azure cloud services and deployment models • Experience with monitoring and logging tools (Azure Monitor, Prometheus, Grafana stack) • Proficiency in scripting languages (PowerShell, Bash, Python) • Understanding of GitOps principles and version control best practices • Knowledge of security best practices in DevOps and SecDevOps principles • Strong troubleshooting and problem-solving skills • Excellent communication and collaboration skills More ❯

in DevOps engineering with automated CI/CD pipelines Strong knowledge of Terraform , Azure , Kubernetes , and Helm Hands-on experience with Git , Azure Pipelines , and scripting (Bash, PowerShell, or Python) Experience managing AKS and cloud infrastructure Nice-to-have: Datadog, Ansible, or Azure DevOps admin experience Familiarity with RabbitMQ, ElasticSearch, Redis, or the Microsoft stack (.NET Core, SQL Server) Knowledge 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 ❯

a multi-cloud platform used by AI researchers and engineers worldwide. This role would suit an experienced engineer with a track record of designing and building greenfield systems. Skills: Python, Go, JavaScript GCP, AWS, Azure Kubernetes, Docker, Terraform The money is good too – up to £120k plus benefits including remote working and share options. If you're interested and would More ❯

Collaborate with data scientists and researchers to productionise models Manage cloud-based and on-prem setup Requirements: 25 years experience in ML engineering/MLOps roles Strong proficiency in Python and experience with relevant ML libraries/frameworks (pandas, numpy, sklearn, TensorFlow, PyTorch) Strong understanding and experience in implementing end-to-end ML pipelines (data, training, validation, serving) Experience with More ❯

a multi-cloud platform used by AI researchers and engineers worldwide. This role would suit an experienced engineer with a track record of designing and building greenfield systems. Skills: Python, Go, JavaScript GCP, AWS, Azure Kubernetes, Docker, Terraform The money is good too – up to £120k plus benefits including remote working and share options. If you're interested and would 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 ❯

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 ❯

storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity with finance or data viz tools (Power BI/Tableau, Excel More ❯

of Docker and Kubernetes (ECS/EKS). Continuous Integration/Delivery: Skilled in managing CI/CD pipelines using Jenkins and GitHub Actions. Programming: Working knowledge of Go, Python, and JavaScript for automation and tooling. Responsibilities: Lead the development and operational support of secure, scalable web services. Champion automation across deployment, configuration, and monitoring processes. Govern and optimise multi 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 laura.jackson@searchability.com. For further information 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 ❯

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 ❯

environment Thorough understanding of Computer Science fundamentals such as Data Structures, Algorithms and Design Patterns Amazon Web Services, Azure, or Google Cloud Platform Desirable Kafka Agile awareness, Jira, Bitbucket Python MariaDB PostgreSQL + Timescale Build Systems (Bamboo, Jenkins, etc) SQL and NoSQL technologies You will have knowledge of software development and some exposure to mentoring junior Engineers would be a More ❯

in cloud platforms (AWS or Azure), including SaaS and PaaS. Expertise in designing, automating, monitoring, and supporting production digital service platforms. Hands-on experience with automation tools (Terraform, Bash, Python, Go, Ruby, Groovy, or Powershell). Knowledge of CI/CD pipelines and Continuous Delivery practices. Experience with Kubernetes and container orchestration. Proven track record of technical leadership in delivery 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 ❯