1 to 25 of 52 Permanent Python Jobs in Birmingham

in the following skills: Familiarity with Azure and/or AWS CLI and SDK tools. Knowledge of Linux and Windows server operating systems. Expertise in scripting languages such as Python, PowerShell & Shell. Strong incident fault finding skills and experience. Familiarity with ITSM, Agile methodologies and tools eg Azure DevOps, ServiceNow Good communication and problem-solving skills. What’s in it More ❯

concepts (IaaS, PaaS, SaaS) and interest in platforms such as AWS, Azure, or GCP Familiarity with Linux/Unix systems and basic networking principles Some experience in scripting (e.g., Python, Bash, PowerShell) Enthusiasm for automation, systems reliability, and cloud innovation Willingness to learn, take initiative, and work collaboratively with others Nice to Have (But Not Required): University or personal project More ❯

and reliable. - Mentor junior engineers and contribute to the growth of the SRE function. Technologies you will work with include AWS, Azure, Terraform/CloudFormation, Docker, ECS, ECR, ElasticSearch, Python/Django, PostgreSQL (RDS), Redis, and more. Essential Criteria - Cloud experience with AWS, Azure or Google Cloud. - Ability to build reliable, well-tested infrastructure as code (e.g., Terraform, CloudFormation, Pulumi More ❯

We'd love you to join us. What skills, knowledge and experience will you need? Full-Stack Development Expertise : Proficiency in multiple programming languages such as Java, Node.js, and Python, with experience across the entire technical stack including frontend, backend, APIs, databases, and CI/CD pipelines. Cloud and DevOps Proficiency : Strong knowledge of cloud platforms like AWS and Azure More ❯

both business and technical objectives through close stakeholder engagement. Essential Skills & Experience: Proven background in test automation for data or analytics platforms , ideally SAS Viya 4. Strong experience with Python or Shell scripting and automation frameworks (Selenium, PyTest, JUnit). Familiarity with REST APIs and endpoint testing. CI/CD tools and version control (Git, Jenkins, GitLab). Data management More ❯

technical standards and practices. DESIRED BUT NOT REQUIRED Experience with broadcast or media systems, including familiarity with industry standards and protocols. Proficiency in multiple programming languages (e.g., C++, C#, Python, PowerShell, or similar), demonstrating adaptability across technologies. Hands on experience with CI/CD pipelines and automated testing, including introducing or improving testing strategies in existing systems. Experience with web More ❯

Synapse Analytics and Azure Data Factory Experience using GIS in a commercial or public sector environment and building mapping-based data analysis solutions Programming and scripting experience (e.g. FME, Python, DAX, JavaScript etc) to extract, transform and manage data Experience of data capture, analysis and management of complex datasets across a variety of applications from a variety of sources (APIs More ❯

into AI products. What We're Looking For Significant experience in data science or a quantitative academic field. Strong programming background; must be able to quickly become fluent in Python . Proficiency with key data science libraries (NumPy, Pandas, Scikit-Learn) and experience with deep learning frameworks (TensorFlow, PyTorch, or Caffe). Strong mathematical and statistical skills. Broad knowledge of More ❯

ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs Excellent leadership and team management More ❯

and visualisations for stakeholders. Collaborate with data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced More ❯

personal and professional development! We are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge More ❯

a lean, cross-functional setup that gives everyone ownership and space to do their best work. The work Building, improving, and scaling features across the stack. Working with Node.js , Python , and Flutter . Deploying and running services on Google Cloud Platform . Keeping things tidy and collaborative with Git . Using Linear to keep tickets clear and workflow simple. Working More ❯

Engineering, or related field. Proven experience in technical product management, data science, or algorithm-heavy environments. Technical Expertise Strong knowledge of optimisation, statistical modelling, and applied mathematics. Familiarity with Python and ability to translate algorithmic design into technical specifications. Experience designing or managing decision-support systems, simulations, or optimisation engines. Familiarity with cloud environments (e.g. GCP, BigQuery) and modern deployment More ❯

the ability to explain technical concepts clearly Nice to Have (But Not Required): Personal or academic experience with penetration testing, malware analysis, or security tools Knowledge of scripting (e.g. Python, Bash, PowerShell) Internship, placement, or lab-based university project in security Familiarity with security frameworks or certifications (e.g. CompTIA Security+, CEH, CISSP concepts) What You’ll Gain Structured Training & Support More ❯

to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online More ❯

you don’t secure a Data Analyst role within 12 months of graduation, we’ll refund 100% of your fees. What You’ll Gain - Hands-On Skills: Excel, SQL, Python, Power BI, Azure AI, Machine Learning - Industry Certifications: CompTIA Data+, Microsoft Power BI (PL-300), Azure AI Fundamentals (AI-900) - Real Projects: Work on real-world data challenges to showcase More ❯

Excellent communication and stakeholder management skills. A relevant qualification in data science, computer science, or a related field. Technical knowledge: · Expert use of standard statistical tools e.g. R/Python and relevant associated libraries · Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs. Job Offer With offices in More ❯

continuous improvement of data solutions. Required Experience: Proven experience in Data Engineering or Data Warehouse Development. Hands-on expertise with Microsoft Fabric, Azure Synapse, or Databricks. Strong SQL and Python skills, including stored procedures and notebooks. Knowledge of data lake design and large-scale data integration. Familiarity with Power BI, MDX/DAX, and data warehousing concepts. Certifications such as More ❯

more advanced courses to get you up to speed. React-js JavaScript JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project Additional Courses More ❯

new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One: Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies Step Two: Study and More ❯

implementing data integration and automation projects Proficiency with CRM systems (Dynamics) Strong working knowledge of Power BI, Excel, and/or automation tools like Power Automate Strong proficiency in Python, SQL, DAX, and Power Query (M language) Strong analytical skills with the ability to translate data into actionable insights. Strong communication skills, able to work effectively across teams. Excellent organisation More ❯

Excellent communication and stakeholder management skills, with the ability to bridge business objectives and technical delivery. Desirable Skills Background in full-stack or backend engineering, using technologies such as Python, TypeScript, or .NET. Experience with data engineering and data architecture concepts. Familiarity with MLOps practices and AI development frameworks (e.g., Azure AI, LangChain, Hugging Face). Relevant certifications in Azure More ❯

BI Supporting and evolving data solutions post-deployment Requirements: Proven experience in Data Engineering or Data Warehouse Development Strong hands-on skills with Azure data tools and SQL/Python Knowledge of medallion lakehouse design and large-scale data integration Experience with Power BI, SSIS, SSAS, SSRS, and data modelling Ability to write complex queries, stored procedures, and notebooks Exposure More ❯

other Automation Infrastructure Engineers and Analysts Experienced in the following: Infrastructure Development and Automation: Building use cases and creating infrastructure applications using programming languages such as C#, C++, and Python to process data locally Containerization and Orchestration: Using tools like Docker and Kubernetes to package and manage applications for scalable and efficient deployment. Packaged Application and industry standard APIs such More ❯

a strong academic background in Data Science, Maths, Statistics, or Computer Science-or equivalent experience applying data science in a business context. Coding Skills - You can write code in Python and SQL to support analysis, automation, and data-driven decision-making. Applied Data Science - You can use data science techniques to solve problems, optimise processes, and deliver measurable improvements. Stakeholder More ❯