1 to 25 of 458 Permanent Python Jobs in the North West

on best practices and tools. Essential criteria: Experience as a Site Reliability Engineer, DevOps Engineer, Operations Engineer or similar role Coding skills in programming/scripting languages such as Python, PowerShell or Bash Understanding of Linux/Unix & Windows systems, networking, and distributed systems Experience with observability tools (e.g., Prometheus, Grafana, Datadog) and alerting systems Understanding of infrastructure automation (e.g. More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

of expertise. Experience with ESRI stack, particularly ArcGIS Pro, ArcGIS Online and Enterprise. Experience with ETL technologies like FME and ESRI Pipelines/Data Interoperability. Strong programming skills in Python (including ArcPy and data science libraries), with additional experience in .NET, Java or modern JavaScript libraries. Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends. More ❯

other IaC tools • Docker/Kubernetes (ECS, EKS, AKS, etc.) • CI/CD tools (GitHub Actions, Jenkins, GitLab CI) • Knowledge of Linux administration and networking fundamentals • Familiarity with scripting (Python, Bash, or PowerShell) Soft Skills • Strong analytical and troubleshooting ability • Clear communication across technical and non-technical audiences • Proactive, collaborative mindset - "you build it, you run it" philosophy • Ability to More ❯

Java 17+ (preferably 21), Spring Boot Jenkins, GIT and CI/CD Jira and Confluence Monitoring/alerting tools and solutions Scripting or coding with shell/bash, and Python Standard SQL query language and PLSQL Agile principles and ways of working Excellent client-facing communication skills DevOps mindset Excellent problem-solving abilities Automation Core AWS Services & Infrastructure as Code 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 ❯

RabbitMQ) Domain-Driven Design, event-driven systems, modular monoliths Cloud architecture AWS, Azure or GCP (landing zones, VPCs, IAM, security) ? Strong background in hands-on engineering (Java, .NET, Node.js, Python or similar) before moving into architecture ? Experience with CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab CI), containerisation (Docker, Kubernetes, OpenShift) ? Knowledge of data platforms, integration with legacy systems 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 ❯

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 ❯

will bring something new to the table! Required Minimum of five (5) years of experience as a software engineer developing internal tools and automating workflows at scale Proficiency in Python (or another scripting language) for development, testing, and automation of security and infrastructure workflows Hands-on experience applying AI/ML models, including LLMs, to automate complex business or security More ❯

will bring something new to the table! Required Minimum of five (5) years of experience as a software engineer developing internal tools and automating workflows at scale Proficiency in Python (or another scripting language) for development, testing, and automation of security and infrastructure workflows Hands-on experience applying AI/ML models, including LLMs, to automate complex business or security More ❯

will bring something new to the table! Required Minimum of five (5) years of experience as a software engineer developing internal tools and automating workflows at scale Proficiency in Python (or another scripting language) for development, testing, and automation of security and infrastructure workflows Hands-on experience applying AI/ML models, including LLMs, to automate complex business or security More ❯

will bring something new to the table! Required Minimum of five (5) years of experience as a software engineer developing internal tools and automating workflows at scale Proficiency in Python (or another scripting language) for development, testing, and automation of security and infrastructure workflows Hands-on experience applying AI/ML models, including LLMs, to automate complex business or security More ❯

will bring something new to the table! Required Minimum of five (5) years of experience as a software engineer developing internal tools and automating workflows at scale Proficiency in Python (or another scripting language) for development, testing, and automation of security and infrastructure workflows Hands-on experience applying AI/ML models, including LLMs, to automate complex business or security More ❯

will bring something new to the table! Required Minimum of five (5) years of experience as a software engineer developing internal tools and automating workflows at scale Proficiency in Python (or another scripting language) for development, testing, and automation of security and infrastructure workflows Hands-on experience applying AI/ML models, including LLMs, to automate complex business or security More ❯

will bring something new to the table! Required Minimum of five (5) years of experience as a software engineer developing internal tools and automating workflows at scale Proficiency in Python (or another scripting language) for development, testing, and automation of security and infrastructure workflows Hands-on experience applying AI/ML models, including LLMs, to automate complex business or security More ❯

such as content generation, technical Q&A, and call summarisation. Understanding of how AI augments human capabilities in sales and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong More ❯

such as content generation, technical Q&A, and call summarisation. Understanding of how AI augments human capabilities in sales and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong More ❯

such as content generation, technical Q&A, and call summarisation. Understanding of how AI augments human capabilities in sales and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong More ❯

such as content generation, technical Q&A, and call summarisation. Understanding of how AI augments human capabilities in sales and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong More ❯

such as content generation, technical Q&A, and call summarisation. Understanding of how AI augments human capabilities in sales and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong More ❯

such as content generation, technical Q&A, and call summarisation. Understanding of how AI augments human capabilities in sales and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong More ❯