701 to 725 of 6,985 Permanent Python Jobs

or an equivalent combination of technical education and experience Coursework or Work-related programming experience with any of the following software development languages: Ada, C, C++, C#, JAVA, or Python 2 + years' experience working in a project utilizing modern software development methodologies (e.g. agile) Preferred Qualifications (Desired Skills/Experience) Experience with development of data integration solutions including Application … Programming Interface (API) Integration Experience with Python and/or Javascript Experience with web development frameworks such as React Experience with Container management and/or orchestration (Kubernetes, Docker) Experience with data modeling, ontology, and industry standards for data exchange Knowledge of or experience with Siemens Teamcenter Product Lifecycle Management (PLM) and systems integration between Teamcenter and Enterprise Resource Planning More ❯

frameworks, and design patternsStrong expertise in APIdevelopment, integration, web services, data exchange methods, and writingcomplex SQL queriesExpertise in UiPathOrchestrator setup, configuration, and administrationProficiency in programminglanguages such as C#, VB.Net, Python, or JavaProficient in full softwarelifecycle development, including source control, iterative development, andrapid prototyping?Knowledge and Experience withAWS and CI/CD pipelinesBackground in full SDLC,including iterative development, prototyping, and … API development, integration, web services, data exchange methods, and writing complex SQL queries.Highly desired Expertise in UiPath Orchestrator setup, configuration, and administration.Required8YearsProficiency in programming languages such as C#, VB.Net, Python, or Java.Required5YearsProficient in full software lifecycle development, including source control, iterative development, and rapid prototypingRequired8YearsKnowledge and Experience with AWS and CI/CD pipelines.Required5YearsBackground in full SDLC, including iterative development More ❯

sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also More ❯

adapting AI effectively. What will you need to do it? Minimum Requirements Experience: Significant professional experience in backend development as a Senior role. Languages/Frameworks: Strong proficiency in Python with hands-on experience in asynchronous programming, concurrency and multithreading. API Expertise: Proven experience in building and integrating APIs, with expertise in API documentation and schema definition using OpenAPI/… generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain More ❯

adapting AI effectively. What will you need to do it? Minimum Requirements Experience: Significant professional experience in backend development as a Senior role. Languages/Frameworks: Strong proficiency in Python with hands-on experience in asynchronous programming, concurrency and multithreading. API Expertise: Proven experience in building and integrating APIs, with expertise in API documentation and schema definition using OpenAPI/… generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain More ❯

Access Management (IAM) strategies, including Identity Governance and Administration (IGA) and Privileged Access Management (PAM) solutions. Drive automation of system provisioning, configuration, and patching using advanced scripting (PowerShell, Bash, Python) and orchestration tools. Oversee software deployment and configuration management through SCCM, Intune, and Linux-native tools. Integrate and secure cloud platforms (Azure, AWS, or similar) for hybrid OT environments, ensuring … architecture and Linux identity management (LDAP, Kerberos, SSSD) required. Proficiency in IAM, IGA, and PAM technologies (e.g., SailPoint, CyberArk) preferred. Strong scripting and automation skills across PowerShell, Bash, and Python required. Expertise in SCCM, Intune, and Linux-native configuration management tools required. Hands-on experience with cloud platforms (Azure, AWS) and hybrid integration strategies required. Proven track record of leading More ❯

reporting to the CTO. Experience in the following areas is a plus: finance, open banking, iGaming, startups, or enterprise companies dealing with real-time processing. Responsibilities You will use Python, with a strong grounding in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings Lead data labeling at scale to produce ground-truth … creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data More ❯

reporting to the CTO. Experience in the following areas is a plus: finance, open banking, iGaming, startups, or enterprise companies dealing with real-time processing. Responsibilities You will use Python, with a strong grounding in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings Lead data labeling at scale to produce ground-truth … creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data More ❯

the following:  ESRI technologies (ESRI ArcGIS API for JavaScript/REST, WebApp builder, ArcGIS Runtime DSK for .Net)  Open-source technology (Open Layers, Geo Server, PostgreSQL) Experience in using python to develop geoprocessing solutions and using FME/Erdas Imagine  Excellent skills in terraform and ansible Experience working on CI/CD pipeline setup using Jenkins with Continuous testing and More ❯

to make a real impact. What You Need Degree in Computer Science, Software Engineering, or related field Previous experience in commercial development Strong skills in C# or C++, and Python Experience with data processing systems and SQL databases Git proficiency and collaborative working approach Bonus points for: Agile experience, Linux familiarity, cloud platforms (AWS/Azure), CI/CD, or More ❯

/CD pipelines, and observability tools. What They're Looking For: Hands-on experience with a major cloud provider (preferably GCP), Kubernetes, and Infrastructure as Code (Terraform). Strong Python skills for automation and operational problem-solving. Customer-focused approach to building stable, well-documented platforms. Pragmatic focus on efficiency, velocity, and leveraging AI tools for problem-solving. More ❯

/CD pipelines, and observability tools. What They're Looking For: Hands-on experience with a major cloud provider (preferably GCP), Kubernetes, and Infrastructure as Code (Terraform). Strong Python skills for automation and operational problem-solving. Customer-focused approach to building stable, well-documented platforms. Pragmatic focus on efficiency, velocity, and leveraging AI tools for problem-solving. More ❯

driving innovation. Our consultancy is proudly technology agnostic, empowering you to architect the best solutions using the most effective tools for each challenge. With technologies ranging from .NET, Java, Python, , AWS and Azure, you'll have opportunities to deepen your expertise, explore new areas, and grow your career. Role Responsibilities This is a varied role that requires adaptability, ambition, and … and enabling the team to work efficiently and confidently. Requirements Essential Skills 5+ years' proven experience in a Full Stack Engineering role, with advanced skills in .NET, Java or Python, plus modern JavaScript libraries. Experience taking ownership of delivery for services or significant components across the full lifecycle from design to operation. Strong understanding of architectural and design patterns, including More ❯

based and on-premise infrastructure. Ensuring reliability and scalability of ML systems in production. What We’re Looking For 3+ years of experience in Data Science. Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity More ❯

based and on-premise infrastructure. Ensuring reliability and scalability of ML systems in production. What We’re Looking For 3+ years of experience in Data Science. Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity More ❯

and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise in CI/CD tools : Google Cloud Build, Jenkins, GitHub Actions. Proven experience with Terraform and More ❯

and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise in CI/CD tools : Google Cloud Build, Jenkins, GitHub Actions. Proven experience with Terraform and More ❯

on experience with tools such as GitLab, Terraform, Helm, DB Config management (Liquibase/Flyaway), Jenkins, GitLab CI, CircleCI, Travis CI • Proficiency in scripting and automation languages such as Python, Bash, or PowerShell. • Experience with infrastructure as code (IaC) tools like Ansible. • Solid understanding of cloud platforms, especially AWS. • Familiarity with containerization and orchestration tools such as Docker, Kubernetes and More ❯

pipelines and automating delivery to production Using AI-assisted tools to boost productivity and innovation Participating in code reviews and mentoring other engineers Tech environment: Java, Spring Boot, React, Python, Kubernetes, Terraform, Jenkins, AWS, SQL About you: experience in software development (SaaS or cloud environments) Strong skills in Java and modern JavaScript frameworks (React/TypeScript) Experience with cloud infrastructure More ❯

including Docker and Kubernetes Have opportunities to mentor junior level developers The Senior Cloud Engineer will have: Strong programming experience in one or more of JavaScript, Java, .Net, or Python Proven experience working within agile environments using Scrum, Lean, or Kanban methodologies Knowledge of CI/CD pipelines and automated testing frameworks Understanding of common software design patterns and static More ❯

including Docker and Kubernetes Have opportunities to mentor junior level developers The Senior Platform Engineer will have: Strong programming experience in one or more of JavaScript, Java, .Net, or Python Proven experience working within agile environments using Scrum, Lean, or Kanban methodologies Knowledge of CI/CD pipelines and automated testing frameworks Understanding of common software design patterns and static More ❯

premises. Experience testing APIs, services, and integration points , not just front-end UI. Strong analytical mindset and attention to detail — you spot issues others miss. Bonus: experience with scripting (Python, Bash, PowerShell) or IaC validation (Terraform, Ansible). What We Offer Competitive salary of £45,000 Hybrid working model – flexibility to split time between home and our London office Supportive More ❯

CSV, etc.) Strong understanding of data governance, lineage, and access control Experience with AWS, Azure, or GCP Ability to work autonomously and make strong technical decisions Desirable Skills: dbt Python PostgreSQL or similar relational databases BI tools (QuickSight, Tableau, etc.) Reverse ETL, ML pipeline support, agile environment experience About You: You’re a technically strong data engineer who enjoys both More ❯

stakeholders. Required Qualifications Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Technical Skills: Proficiency in programming languages such as C# , Python , or JavaScript . Experience with Microsoft Azure , AI , and machine learning technologies is highly desirable. Experience: Proven experience in software development, ideally within productivity tools or AI-driven applications. Problem More ❯

stakeholders. Required Qualifications Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Technical Skills: Proficiency in programming languages such as C# , Python , or JavaScript . Experience with Microsoft Azure , AI , and machine learning technologies is highly desirable. Experience: Proven experience in software development, ideally within productivity tools or AI-driven applications. Problem More ❯