1,001 to 1,025 of 6,962 Permanent Python Jobs

Architect - Professional). Expertise in cloud security, IAM, encryption, and secure networking. Experience with CI/CD pipelines, DevOps practices, and containerization (Docker, Kubernetes). Proficiency in scripting languages (Python, Bash) and automation tools. Excellent communication and stakeholder management skills. Desirable: Experience with financial data platforms (e.g., Bloomberg, Refinitiv). Knowledge of regulatory frameworks (e.g., MiFID II, Basel III). More ❯

or data-heavy environments • Knowledge of reconciliation or financial data processing systems • Exposure to containerised environments (Docker/Kubernetes) • Experience with Delta Lake and Microsoft Fabric Tech Stack SQL | Python | PowerShell | .NET | C# Azure Data Lake | Azure Blob Storage | Delta Lake Performance Testing: JMeter, k6 Monitoring: Azure Monitor, Application Insights, Grafana Infrastructure: Azure, Kubernetes, Docker CI/CD: Azure DevOps More ❯

a Google Cloud Engineer or similar role. Robust understanding of GCP services such as Compute Engine, Cloud Storage, GKE, Cloud Functions, Pub/Sub, Cloud SQL, etc. Proficiency with, Python, Bash, or similar scripting languages. Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Cloud Build Familiarity with containerization and orchestration (Docker, Kubernetes Solid grasp of cloud security principles More ❯

deliver innovative, secure, and robust technical solutions. What We're Looking For Proficiency in one or more of C, C++, Java or C#. Familiarity with scripting and automation using Python, Bash, Powershell or Groovy. Experience working with IDA Pro or Ghidra for reverse engineering Experience working with Linux or Windows-based systems. Awareness of secure coding practices and modern cybersecurity More ❯

in cloud platforms (AWS or Azure), including SaaS and PaaS. Expertise in designing, automating, monitoring, and supporting production digital service platforms. Hands-on experience with automation tools (Terraform, Bash, Python, Go, Ruby, Groovy, or Powershell). Knowledge of CI/CD pipelines and Continuous Delivery practices. Experience with Kubernetes and container orchestration. Proven track record of technical leadership in delivery More ❯

modern O/S (e.g. Windows & Linux), Web Application development (e.g. HTML5, JavaScript, ASP.NET MVC, Entity Framework/ORM), and general scripting/programming resources for IT (e.g. C#, Python, SQL, PowerShell, XML, Tcl/Tk) Must be eligible for SC Clearance SystemsAccountants are a leading Finance Systems and Finance Transformation resource partner, specialising in ERP, EPM, and BI recruitment. More ❯

analytical skills with attention to detail Experience using ticketing and monitoring tools Excellent communication skills and a proactive, adaptable approach Knowledge of ITIL, AWS, Terraform, or scripting (PowerShell/Python) is desirable Reference Number: BBBH264932 To apply for this role or to be considered for further positions, please click 'Apply Now' or contact Ed Douglass at Rise Technical Recruitment. Rise More ❯

experience is also very relevant. Proven track record building CI/CD pipelines and infrastructure-as-code. Experience developing and supporting production-grade applications in languages such as Java, Python or C#. Technical leadership in a specialist domain (e.g., containers, data platforms, cloud networking). Experience working in regulated environments with a focus on security and compliance. Desirable Experience Solid More ❯

experience is also very relevant. Proven track record building CI/CD pipelines and infrastructure-as-code. Experience developing and supporting production-grade applications in languages such as Java, Python or C#. Technical leadership in a specialist domain (e.g., containers, data platforms, cloud networking). Experience working in regulated environments with a focus on security and compliance. Desirable Experience Solid More ❯

helping grow our collective data engineering capability. What we’re looking for Solid experience as a Senior/Lead Data Engineer in complex enterprise environments. Strong coding skills in Python (Scala or functional languages a plus). Expertise with Databricks, Apache Spark, and Snowflake (HDFS/HBase also useful). Experience integrating large, messy datasets into reliable, scalable data products. More ❯

helping grow our collective data engineering capability. What we’re looking for Solid experience as a Senior/Lead Data Engineer in complex enterprise environments. Strong coding skills in Python (Scala or functional languages a plus). Expertise with Databricks, Apache Spark, and Snowflake (HDFS/HBase also useful). Experience integrating large, messy datasets into reliable, scalable data products. More ❯

NLP community Technical Skills: Degree in Computer Science, Engineering, Bioinformatics, or related field (BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus Familiarity with cloud platforms (AWS, Azure, GCP) and Linux More ❯

NLP community Technical Skills: Degree in Computer Science, Engineering, Bioinformatics, or related field (BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus Familiarity with cloud platforms (AWS, Azure, GCP) and Linux More ❯

Data Science, Mathematics, or a related field (Master’s preferred) 💼 Some proven industry experience applying AI or machine learning (internship, placement, or full-time role) 🐍 Strong programming skills in Python and familiarity with frameworks such as TensorFlow , PyTorch , or scikit-learn 📊 Understanding of machine learning algorithms, data pipelines, and model evaluation ☁️ Familiarity with cloud platforms (AWS, GCP, or Azure) and More ❯

migration to cloud environments. Collaborate with cross-functional teams to deliver cloud-based solutions that enhance efficiency and user experience. Utilize programming languages and technologies such as React, Node.js, Python, and AWS services. Support the development of solutions that improve quality and delivery for business partners. Engage in troubleshooting, problem correction, and production support as needed. Participate in Agile development More ❯

security, web application best practices). Support automation, observability, and continuous improvement initiatives across the engineering organisation. ✅ You’ll Be a Great Fit If You... Have strong coding experience (Python, TypeScript, Go, JavaScript, C#, or similar). Bring solid DevOps and infrastructure engineering skills. Have hands-on experience with Kubernetes, Terraform, and CI/CD pipelines. Understand cloud environments (Azure 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 ❯

ML/LLM/NLP/CV models. - Strong understanding of machine learning fundamentals, statistical inference, and model evaluation. - Advanced proficiency in SQL (e.g., PostgreSQL, ELT/ETL) and Python (PyTorch, LightGBM, Scikit-learn). - Experience with modern AI concepts: prompt engineering, embeddings, vector search, etc. - Skilled in managing complex codebases (Git) and working with cloud platforms (GCP, AWS). More ❯

ML/LLM/NLP/CV models. - Strong understanding of machine learning fundamentals, statistical inference, and model evaluation. - Advanced proficiency in SQL (e.g., PostgreSQL, ELT/ETL) and Python (PyTorch, LightGBM, Scikit-learn). - Experience with modern AI concepts: prompt engineering, embeddings, vector search, etc. - Skilled in managing complex codebases (Git) and working with cloud platforms (GCP, AWS). More ❯

security principles. Familiarity with observability tools (Prometheus, Grafana, Loki) and structured alerting practices. Experience with database migrations, HA configurations, backups, and DR strategies. Strong scripting and automation skills (Terraform, Python, Bash, or similar). Excellent communication and collaboration skills, with a passion for improving engineering efficiency through automation and consistency. More ❯

in production environments. Expertise with EC2, Lambda, ECS, S3, RDS, DynamoDB, and networking/security fundamentals. Experience with Infrastructure as Code (CloudFormation, Terraform, or AWS CDK). Proficiency in Python, Node.js, or Java. Experience with CI/CD pipelines and containerization (Docker, ECS/EKS). Nice-to-Have AWS certifications (Solutions Architect or Developer). Experience with Kubernetes, Step More ❯

experience with VMware, Linux, and Windows environments. Proficiency with tools such as: Terraform, Ansible, Azure DevOps (YAML pipelines) SALT Stack or similar automation frameworks Programming knowledge in Java, .NET, Python, or similar languages. Ability to bridge the gap between software engineering and infrastructure. Experience supporting large-scale teams (200 to 1,000+ engineers). Note: This is not a cloud More ❯

adapt and self-evaluate along the way They will be also technically experienced in some of the following areas: SOLID Design Principles and Design Patterns Cloud platforms (AWS preferable) Python, Java or Typescript Networking: VPN, VPC, ELB - Elastic Beanstalk Compute: EC2, Lambda, AppSync Storage: S3, EBS & Disaster Recovery Data: DynamoDB, RDS, ElastiCache & SQL DevOps: CI/CD - CloudFormation, Github & GitHub More ❯

Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training Airline Industry experience Skills, Licenses & Certifications Proficiency with the following technologies: Programming Languages: Java, Python, C#, Javascript/Typescript Frameworks: Spring/SpringBoot, FastAPI Front End Technologies: Angular/React Deployment Technologies: Kubernetes, Docker Source Control: GitHub, Azure DevOps CICD: GitHub Actions, Azure DevOps Data More ❯

Expertise in containerization and Kubernetes • In-depth knowledge of AWS services (EKS, EC2, Lambda, RDS, S3) • Strong experience of workflow managers (Airflow) • Strong experience with AWS and proficiency in Python, BASH, and IaC tools like Terraform • Strong experience with relational and cloud-based databases • Strong experience in building automation tools and CI/CD/CT pipelines using platforms like More ❯