251 to 275 of 7,001 Permanent Python Jobs

scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google … RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like More ❯

automation tools including GitHub Actions, Terraform, and Ansible Experience with business process automation (RPA) tools like Appian Workflow orchestration experience (Airflow, Prefect) Ability to build custom automation frameworks using Python or similar languages Full-Stack Development Solid software engineering background with proficiency in Python, JavaScript/TypeScript, Java, or Go Experience with modern frameworks (React, Node.js, Django, FastAPI) Knowledge of More ❯

design, production-grade analytics platforms for sensitive environments. Collaborate across engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI … pipelines Collaboration & Control: Git-based workflows, Jira, Confluence, automated testing suites Must-have experience 🌳 Proven delivery of data science models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government, or National Security data environments. More ❯

design, production-grade analytics platforms for sensitive environments. Collaborate across engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI … pipelines Collaboration & Control: Git-based workflows, Jira, Confluence, automated testing suites Must-have experience 🌳 Proven delivery of data science models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government, or National Security data environments. More ❯

or related disciplines. Practical hands-on experience with AI tools, models, and implementing real-world AI/ML use cases. Proficiency in at least one AI-focused programming language (Python required; Java preferred Strong experience with cloud platforms such as AWS, Azure, or GCP. Solid understanding of machine learning frameworks (TensorFlow, PyTorch, scikit-learn Experience working with CI/CD … OpenAI) with emphasis on reasoning and agentic use cases. Familiarity with agentic AI frameworks: LangChain, LangGraph, CrewAI. Strong understanding of context engineering, MCP, vector databases, and RAG architectures. Advanced Python programming skills (must-have Deep knowledge of cloud engineering as it relates to AI, DevOps, and automation. Strong troubleshooting and problem-solving capabilities. Knowledge of security best practices for AI More ❯

advanced AI technologies. Key Responsibilities Lead the design, development, and delivery of complex software systems and AI-powered applications. Work across the full stack — frontend (React, TypeScript) and backend (Python, Java) — to build performant, maintainable solutions. Mentor and support a small team of engineers, conducting code reviews and fostering best practices. Collaborate closely with Data Engineers, AI Engineers, and Product … patterns — helping the team evolve with industry trends. Requirements Required Skills & Experience Extensive experience building and deploying production-grade web and software applications. Strong experience in React, TypeScript, and Python (Java optional). Hands-on experience with cloud-native development (AWS, GCP, or Azure). Understanding of CI/CD, infrastructure as code, and container orchestration. Experience mentoring other engineers More ❯

Management & Troubleshooting: Serve as a third-level escalation point for complex platform incidents. Quickly troubleshoot, diagnose, and resolve issues to minimise downtime and ensure operational continuity. Automation & Scripting: Use Python, Bash, or other scripting languages to automate routine tasks such as health checks, system hygiene, monitoring, and service maintenance. Continuously identify and implement automation opportunities to increase efficiency. Cloud Infrastructure … Solid understanding of database systems such as Oracle, PostgreSQL, MongoDB, with an ability to optimise their integration into cloud-native infrastructure. Scripting & Automation Tools: Proficiency in scripting languages like Python, Bash, or similar. Experience with automation tools like Unusable for automating infrastructure tasks. Troubleshooting Skills: Strong problem-solving abilities, with a demonstrated capacity to troubleshoot and resolve complex technical issues More ❯

Management & Troubleshooting: Serve as a third-level escalation point for complex platform incidents. Quickly troubleshoot, diagnose, and resolve issues to minimise downtime and ensure operational continuity. Automation & Scripting: Use Python, Bash, or other scripting languages to automate routine tasks such as health checks, system hygiene, monitoring, and service maintenance. Continuously identify and implement automation opportunities to increase efficiency. Cloud Infrastructure … Solid understanding of database systems such as Oracle, PostgreSQL, MongoDB, with an ability to optimise their integration into cloud-native infrastructure. Scripting & Automation Tools: Proficiency in scripting languages like Python, Bash, or similar. Experience with automation tools like Unusable for automating infrastructure tasks. Troubleshooting Skills: Strong problem-solving abilities, with a demonstrated capacity to troubleshoot and resolve complex technical issues More ❯

Management & Troubleshooting: Serve as a third-level escalation point for complex platform incidents. Quickly troubleshoot, diagnose, and resolve issues to minimise downtime and ensure operational continuity. Automation & Scripting: Use Python, Bash, or other scripting languages to automate routine tasks such as health checks, system hygiene, monitoring, and service maintenance. Continuously identify and implement automation opportunities to increase efficiency. Cloud Infrastructure … Solid understanding of database systems such as Oracle, PostgreSQL, MongoDB, with an ability to optimise their integration into cloud-native infrastructure. Scripting & Automation Tools: Proficiency in scripting languages like Python, Bash, or similar. Experience with automation tools like Unusable for automating infrastructure tasks. Troubleshooting Skills: Strong problem-solving abilities, with a demonstrated capacity to troubleshoot and resolve complex technical issues More ❯

model versioning, reproducibility, performance monitoring, bias mitigation, data governance, and ethical AI use. Document architectural decisions, runbooks, and operational procedures. Software Engineering & Collaboration Write clean, tested, maintainable code in Python (and optionally .NET). Apply SOLID, TDD/BDD where sensible, code reviews, refactoring, performance profiling. Collaborate in an Agile environment; contribute to technical specs and implementation plans. Build POCs … analytics domain to bring relevant innovations into our stack. Skills and Experience Demonstrable experience in software engineering, with 2+ years building LLM/AI applications in production. Strong in Python, API design, asynchronous programming, and integration patterns. Proven ability to scale LLMs and other AI models for high volume, real world applications including optimising inference, managing computational resources, and ensuring … reliability and maintainability. Programming & ML/LLM Frameworks Strong expertise in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn). Hands on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/ More ❯

Ops Experience in consulting, pre-sales, and conducting workshops Experience in leading teams of cloud engineers and architects Experience in software development with standard programming languages and methods (e.g., Python) Experience with Microsoft Azure, AWS, and/or Google Cloud Knowledge of DevOps/DevSecOps and/or platform engineering and infrastructure-as-code (e.g., Terraform or Ansible) Experience with … technologies and services alongside established industry standards Technologies: AI API AWS Ansible Architect Azure CI/CD Cloud Databricks DevSecOps DevOps Grafana Helm Support Kibana Kubernetes Machine Learning Prometheus Python Security Terraform Web microservices More: AI Architect Germany - Remote (Within Location) • Full-Time • Engineering Join Nordcloud and be part of the European cloud revolution. We supercharge our customers to innovate More ❯

enterprise clients, focusing on cloud security, application security, and vulnerability management. Solid knowledge of operating systems, file systems, memory structures, and log analysis. Proficiency in scripting and automation (e.g., Python, PowerShell, Bash) to streamline investigations. Proficiency in forensic tools (e.g., EnCase, FTK) and evidence handling. Serve as a primary client-facing security expert, building strong relationships and effectively communicating complex … cryptography, and threat modeling. Proven track record leading client-facing security projects and transformation initiatives. Experience configuring and supporting SIEMs, managing security alerts, and writing custom scripts in PowerShell, Python, or Bash. Exceptional communication and interpersonal skills; able to influence and collaborate across technical and non-technical teams. Relevant certifications required: CISSP (required), CISM/CCSP/OSCP desirable; Azure More ❯

The company We are a rapidly growing startup developing solutions that utilise Virtual Agents to handle manual customer and marketplace operations tasks. Virtual agents blend deterministic Python code, LLM reasoning and agentic AI capabilities to undertake this work, along with a fallback to human experts. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making … mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if you: Have strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems Can (or want to learn to) develop agentic AI systems that can automate human processes More ❯

model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn Tooling & Environment : DevOps: You have experience working More ❯

Bachelor's degree in Computer Science, Software Engineering, or a related field. Up to 3 years' experience in software development, implementation engineering, pre-sales or technical consulting. Proficient in Python (or a similar language, with a willingness to work in Python). Comfortable using SQL and working with data management systems. How you work You're hands-on and self More ❯

cloud-native solutions. You'll work with a diverse tech ecosystem including S3, SQS, SNS, Lambda, RDS (Postgres), Athena, Step Functions, and Glue ETL, while also diving into SQL, Python, and occasionally Groovy. Strong foundations in Object-Oriented Design, SOLID principles, and CI/CD are essential. As we transition significant portions of our architecture to Snowflake, your expertise in … SQL Mastery : CTEs, joins, triggers, cursors, Postgres, partitioning, window functions. AWS Expertise : S3, Step Functions, Glue, Athena, data partitioning strategies. C# : Multithreading, records, IOC/DI, .NET Core, generics. Python : Solid working knowledge. CI/CD : GitLab pipelines, scripting (PowerShell/Bash), automation best practices. Containers : Docker, Kubernetes, Helm. Exceptional written and verbal communication skills. Proven time management, adaptability, and More ❯

Helm charts o Repository management e.g. Artifactory (preferred), JFrog (preferred) o Service management tools e.g. Consul (preferred), Zookeeper · Familiarity with GitLab and/or GitHub · Scripting background e.g. PowerShell, Python (preferred) · Security best practices including hardened containers and images (STIG) · Experience with Security tools e.g. Hashicorp Vault (preferred), GitHub Secrets · Database knowledge like SAP HANA · Expertise with OS e.g. Linux More ❯

Google Kubernetes Engine and BigQuery). Other significant tools of the platform include Linux, Terraform, Kubernetes, Docker, Packer, Ansible and Jenkins. We support applications and services written in Golang, Python, Java, Scala and .Net. We monitor and alert on everything we deploy via Grafana, Prometheus, Graphite and ELK stacks. You will be someone that shares our values and ambitions and … security Experience of code security audit, static and dynamic analysis, defensive programming techniques and visualisation and measurement of security KPIs Expertise in at least one scripting or programming language (Python, Bash, Ruby, Node, Golang, Java) Plays well with others - we build and ship as a team Advantageous Qualifications AWS Certified Security Specialist Hands on experience designing and implementing security controls More ❯

by exploring new technologies such as vector databases to enable search and AI use cases. Design, develop, and maintain highly performant, scalable, and secure backend APIs using appropriate technologies (Python, NodeJS). Implement and manage data storage solutions including data lakes, data warehouses, and databases underpinning platform tooling (e.g., object storage, Oracle Autonomous Database, PostgreSQL). Collaborate with backend engineers … Proven experience as a full stack engineer. Proficiency in HTML, CSS, JavaScript, and front-end frameworks such as React, Angular, or Experience with backend languages and frameworks such as Python, NodeJS, , Django, or Spring Boot. Expertise in at least one cloud platform and its related managed services. Knowledge of both relational SQL and NoSQL database systems. Skills in UX design More ❯

CI, Azure DevOps, etc.). Experience with container technologies (Docker, Kubernetes). Hands-on experience with IaC (Terraform, Ansible, or CloudFormation). Proficient in scripting languages such as Bash, Python, or PowerShell. Familiarity with monitoring tools (Prometheus, Grafana, ELK, CloudWatch, etc.). Good understanding of networking, security, and version control (Git). Additional Information: Duration: 6 months (potential for extension More ❯

stack: Terraform, AWS (preferred), Azure, CI/CD You will also bring experience in: 4+ years experience in platform engineering Programming in one or more languages: JavaScript, Java, .Net, Python Experience mentoring, coaching or managing others in the team Designing and building Proof of Concept and Production systems collaboratively Source control (e.g. Git, Mercurial, Perforce) CI/CD tools (e.g. More ❯

stack: Terraform, AWS (preferred), Azure, CI/CD You will also bring experience in: 4+ years experience in platform engineering Programming in one or more languages: JavaScript, Java, .Net, Python Experience mentoring, coaching or managing others in the team Designing and building Proof of Concept and Production systems collaboratively Source control (e.g. Git, Mercurial, Perforce) CI/CD tools (e.g. More ❯

in DevOps engineering with automated CI/CD pipelines Strong knowledge of Terraform , Azure , Kubernetes , and Helm Hands-on experience with Git , Azure Pipelines , and scripting (Bash, PowerShell, or Python) Experience managing AKS and cloud infrastructure Nice-to-have: Datadog, Ansible, or Azure DevOps admin experience Familiarity with RabbitMQ, ElasticSearch, Redis, or the Microsoft stack (.NET Core, SQL Server) Knowledge More ❯

years of prior relevant experience. Experience writing and maintaining CI/CD pipelines at a medium-sized enterprise scale; includes integration of Java-based applications and scripting in Python or Bash. Experience building, deploying, and maintaining containerized applications using Docker or Helm, with experience to perform Kubernetes application-level debugging (e.g., troubleshooting pods, services, and Helm deployments). Active and … as Artifactory or Nexus, including the use of Maven, Helm, Docker, or YUM for custom package creation and mirroring in air-gapped or restricted environments. Scripting skills in Bash, Python, or Go CompTIA Security + Experience with Agile principles, to include Agile systems engineering practices and understanding of Agile roles Technical leadership or team lead experience Good oral and written More ❯

years of prior relevant experience. Experience writing and maintaining CI/CD pipelines at a medium-sized enterprise scale; includes integration of Java-based applications and scripting in Python or Bash. Experience building, deploying, and maintaining containerized applications using Docker or Helm, with experience to perform Kubernetes application-level debugging (e.g., troubleshooting pods, services, and Helm deployments). Active and … as Artifactory or Nexus, including the use of Maven, Helm, Docker, or YUM for custom package creation and mirroring in air-gapped or restricted environments. Scripting skills in Bash, Python, or Go CompTIA Security + Experience with Agile principles, to include Agile systems engineering practices and understanding of Agile roles Technical leadership or team lead experience Good oral and written More ❯