1 to 25 of 53 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 ❯

designing, and implementing robust, innovative solutions.Experience with containerization technology and orchestration platforms e.g. Docker, KubernetesHands-on experience in installing, configuring, operating, and monitoring CI/CD pipeline toolsExperience in Python, JavaScript, Golang.Vast working experience on Gitlab CI or GitHub ActionsExperience in monitoring tools as Grafana, ELKExperience in Agile software development systems and JIRA Tools. Understanding IT, network services and securityAbility 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 ❯

a regular and controlled manner ensuring it is monitored and helping the team plan for issues which may arise from changes to the software including business processesPREFERREDExperience with Ruby Python or JavaExperience in building maintaining and orchestrating docker containers with dockercompose Kubernetes is a plusExperience with AWS or GCPAny experience with OpenStack ecosystemExperience of working with ELK Stack and KafkaAny 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 ❯

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 ❯

end-to-end (Data Factory, Synapse, Fabric, or Databricks). Strong SQL development and data modelling capability. Experience integrating ERP or legacy systems into cloud data platforms. Proficiency in Python or PySpark for transformation and automation. Understanding of data governance, access control, and security within Azure. Hands-on experience preparing data for Power BI or other analytics tools. Excellent communication More ❯

end-to-end (Data Factory, Synapse, Fabric, or Databricks). Strong SQL development and data modelling capability. Experience integrating ERP or legacy systems into cloud data platforms. Proficiency in Python or PySpark for transformation and automation. Understanding of data governance, access control, and security within Azure. Hands-on experience preparing data for Power BI or other analytics tools. Excellent communication More ❯

/CD and DevOps practices for data workflows. What We're Looking For Proven experience as a Data Engineer or in a similar role. Strong coding skills in SQL , Python , and PySpark . Hands-on experience with Azure cloud services. Proficiency in Power BI , including DAX , semantic models , and Power Query M . Experience with Microsoft Fabric and modern data More ❯

basically, time travel with stats) Data visualisation & storytelling (making numbers talk) Analytics lifecycles & data democratisation Statistical programming languages Building data products people actually use Training You’ll master: SQL, Python and other stats superpowers Visualisation that makes people go “oh, now I get it” Forecasting and modelling AI literacy and applied analytics Turning complexity into clarity Apprenticeship Standard Data analyst 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 would be a bonus) 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 More ❯

the next generation of AI models. Qualifications: * Fluency in English (native or bilingual level). * Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift. * Excellent writing and grammar skills. * A bachelor’s degree (completed or in progress). * Previous experience as a Software Developer, Coder More ❯

the next generation of AI models. Qualifications: * Fluency in English (native or bilingual level). * Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift. * Excellent writing and grammar skills. * A bachelor’s degree (completed or in progress). * Previous experience as a Software Developer, Coder 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 ❯

role, you will have: Proven experience developing and deploying AI/ML solutions on Azure. Hands-on expertise with Generative AI including LLMs and GPT Strong programming skills with Python and familiarity with AI/ML libraries Excellent communication and stakeholder engagement skills. Some of the package details include: Salary of up to £70,000 10% performance-related bonus More ❯

step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong Python scripting skills Strong understanding of LLMs Experience delivering Gen-AI projects end-to-end Experience with Retrieval-Augmented Generation (RAG) Experience with Azure AI Foundry would be beneficial Experience with 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 ❯

Power Automate) Strong understanding of automation lifecycle, governance, and design standards Ability to translate business problems into scalable automation solutions Experience integrating automation with AI, data, or cloud technologies (Python, APIs, Azure AI, etc. desirable) Excellent stakeholder management and communication skills A proactive mindset with a passion for innovation and continuous improvement Perfect for someone who's delivered RPA solutions 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 ❯