1 to 25 of 70 Python Jobs in Warrington

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 ❯

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 ❯

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 ❯

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 ❯

Key Skills: Strong Node.js/NestJS and REST API development experience. Skilled in AWS (IAM, networking, ECS/EKS, Lambda). Proficient with IaC, CI/CD and scripting (Python, TypeScript, Bash). Hands-on with Docker/Kubernetes and modern authentication tools (Auth0, Ping Identity). Committed to code quality, testing and clean engineering practices. Excellent communicator and team More ❯

sessions Contributing to projects across research, prototyping, and production What we’re looking for: 3+ years of experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Cloud experience (AWS, Azure, or similar) Excellent communication More ❯

automation and monitoring best practices Requirements: Proven DevOps experience in Azure environments Strong skills in Terraform , Kubernetes , Docker , and Azure DevOps Pipelines Proficiency in Git , scripting ( Bash , PowerShell , or Python ) Experience with IaC , automation, and cloud security best practices If you’re passionate about automation, cloud-native systems, and improving delivery pipelines, we’d love to hear from you. More ❯

sprint planning sessions Contributing to projects across research, prototyping, and production What we’re looking for: Prior experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Cloud experience (AWS, Azure, or similar) Excellent communication More ❯

Terraforms, Jenkins, Ansible. Strong knowledge of AWS services and Terraform configuration Experience with Linux infrastructures, CI/CD tools, scripting and automation Proficient in one or more scripting languages (Python, Powershell, Bash). Solid understanding of networking and core internet protocols. Apply now if you’re interested in this DevOps Engineer Opportunity with a forward-thinking organisation that values innovation 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 ❯

and a sense of humor. Thorough understanding of Computer Science fundamentals such as Data Structures, Algorithms and Design Patterns Amazon Web Services, Azure, or Google Cloud Platform Agile awareness, Python PostgreSQL + Timescale SQL and NoSQL technologies You will have knowledge of software development and some exposure to mentoring junior Engineers would be a benefit. They have a vast array 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 ❯

release processes Experience with monitoring and logging frameworks (CloudWatch, Prometheus, Grafana, or similar) Familiarity with containerisation and orchestration (Docker, ECS, EKS, or Kubernetes) Working knowledge of scripting/programming (Python, Bash, or Go) for automation and tooling Understanding of networking, IAM, and security fundamentals in a regulated fintech or payments context Passion for automation, reliability, and DevEx - constantly looking to More ❯

solutions. What You’ll Bring: A year + experience in an API or integration-focused role. Strong understanding of REST APIs, authentication, JSON/XML. Hands-on experience in Python, JavaScript, or C#. Logical thinker who enjoys problem-solving and working independently. Based in the UK without visa/sponsorship requirements Bonus points for: Exposure to AWS, Azure, or GCP. More ❯

Skills Candidates who stand out will also bring: Proficiency in Infrastructure as Code (IaC) tools such as Terraform, and experience with CI/CD pipelines and scripting languages (Bash, Python, Perl). A solid grasp of cloud security best practices and tools, including IAM, firewalls, and encryption. Experience managing hybrid and multi-cloud networking (TCP/IP, subnets, load balancing More ❯

and experimentation. Strong understanding of statistical modeling, machine learning algorithms, and AI techniques. Experience in designing and executing experiments, and validating research findings. Proficiency in programming languages such as Python or R, and experience with relevant data science libraries and frameworks. Experience working with large datasets and cloud-based data platforms. Excellent problem-solving and analytical skills. Strong communication and More ❯

of Engineering/CTO on delivery metrics, operational risks, and team performance. Required Skills & Experience Strong experience managing AWS environments — Lambda, EC2, S3, CloudFormation, IAM, CloudWatch. Hands-on with Python , JSON , and serverless architectures . Deep understanding of CI/CD (GitHub Actions, Jenkins, or AWS CodePipeline). Proven ability to secure and scale production systems. Monitoring and observability tools More ❯

or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems. Extensive proficiency in Python, including mastery of libraries like scikit-learn, pandas, seaborn, and matplotlib. Significant experience writing and optimising complex SQL queries for data retrieval and manipulation in large-scale databases. Strong experience More ❯

Design, develop, and maintain web applications using JavaScript frameworks such as React, Remix, and Node. Backend Development: Build and manage server-side logic using Node.js and AWS services. Any Python or Go would be a plus. Web Scraping & Data Extraction: Develop and deploy automated web scraping to extract, clean, and integrate structured data from diverse online sources. AWS Administration: Utilise More ❯

other relevant technologies. Required Skills and Qualifications · Familiarity with scripting languages like Deluge or JavaScript. · Experience with front-end development frameworks such as Vue.js and Bootstrap. · Basic knowledge of Python for automation and back-end tasks. · Understanding of REST APIs and integrations. · Experience with database management and SQL. · Strong Excel skills, including data manipulation, imports/exports, and use of More ❯

Networking (TCP/IP, routing/switching) Cryptography (applied, PQC, symmetric & asymmetric) OS internals (Windows, Linux, MacOS) Hardware testing, including embedded systems, firmware analysis, or physical device security Programming (Python, Java, C#, etc.) Cloud platforms (AWS, Azure, GCP) Security tools (Burp Suite, etc.) Ethical hacking platforms (Hack the Box, Catch the Flag, Try Hack Me, vulnhub, Immersive Labs etc.). More ❯

addition to our in-house AI and WFO/QA applications. You will collaborate closely with the 3rd-line Support and Development teams, where you will read and assess Python and JavaScript code for streamlined operations and solutions. This is a highly analytical role in which you will provide invaluable support to our product's functioning and the business's More ❯

experience in designing, training, and evaluating neural models for speech or language generation. Strong understanding of large language models (LLMs), transformers, and sequence-to-sequence learning. Advanced proficiency in Python and PyTorch, with practical experience in model training and optimisation at scale. Solid software engineering practices: Git, unit testing, and CI/CD pipelines. Proven ability to conduct independent research More ❯

and quality benchmarks. Integrate advanced AI specialisms, including machine learning, deep learning, natural language processing, computer vision, and data engineering, into curriculum content. Ensure curriculum covers practical skills in Python, TensorFlow, PyTorch, cloud AI platforms (Azure, AWS, GCP), and ethical AI practices. Monitor sector and regulatory trends in AI, proactively updating content to maintain relevance, compliance, and industry alignment. Maintain More ❯