26 to 50 of 7,159 Python Jobs

environments. Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep … Proficiency in statistical methods and experience following CRISP-DM data science lifecycle. Expertise taking projects from ideation or experimental Jupyter notebooks to full production deployment. Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps practices including model drift detection, decay, A/B testing, integration testing, differential … testing, Python package building, and code version control. Skilled in data pipeline creation and working with both structured and unstructured data. Familiar with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes. Excellent problem-solving skills, combined with the ability to communicate complex technical concepts clearly to non-technical stakeholders. Ability to mentor and lead a team More ❯

with development, DevOps, and product teams to resolve complex technical issues. Manage incident response and provide root cause analysis (RCA) for platform outages. Automate repetitive support tasks using scripting (Python, Bash, PowerShell). Maintain documentation of processes, troubleshooting steps, and known issues. Ensure adherence to SLAs and help improve operational support efficiency. Participate in on-call rotations to provide … Unix and Windows environments. Familiarity with cloud platforms (Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). Experience with monitoring/logging tools (Prometheus, Grafana, Splunk, ELK, CloudWatch). Professional level of English (spoken and written), enabling More ❯

experience and career development this role could be for you. Key Responsibilities What Makes a Great Candidate Proficiency in PowerShell or other scripting languages Experience with C#, Java, or Python, or the ability to code Knowledge of Infrastructure as Code tools like Ansible, Terraform, or similar Experience with containerization (Docker) and orchestration (Kubernetes or Docker Swarm) Familiarity with monitoring tools More ❯

lead on technical design and implementation decisions. Build and manage CI/CD pipelines using tools like Jenkins, Bamboo, or Bitbucket. Develop clean, maintainable code in languages such as Python, Java, JavaScript, or .NET. Implement automated testing and continuous integration practices. Drive Agile delivery through sprint planning and retrospectives. Collaborate with developers, architects, and DevOps teams to ensure seamless delivery. More ❯

in containerization and orchestration (Docker, Kubernetes, Helm, etc.Proven experience managing cloud infrastructure (AWS, Azure, GCP) including IaaS, PaaS, network, security and VM/container lifecycles.Excellent scripting/programming skills (Python, Bash, Go, PowerShellExperience implementing observability and monitoring solutions (Prometheus, Grafana, ELK, Splunk, New RelicSolid understanding of networking, virtualization, storage, Linux internals, and security practices.Strong communication, collaboration and leadership skills; ability More ❯

automation tools (Puppet/Chef/Ansible, Terraform) Basic understanding of Linux System Admin with basic troubleshooting and problem-solving skills Basic hands-on experience with languages (Bash/Python/Core Java/Scala) Experience with CI/CD pipeline (Jenkins, Git, Maven etc) Role & Responsibilities Develop and deliver automation software required for building & improving the functionality, reliability, availability More ❯

access control, or surveillance technology. Exposure to Infrastructure as Code tools (e.g., Terraform, CloudFormation). Knowledge of container security and cloud compliance best practices. Experience with scripting languages (e.g., Python, Bash, PowerShell). Understanding of security certifications or industry compliance (e.g., ISO 27001, SOC 2) is a plus. Experience with Kubernetes or OpenShift for container orchestration. Familiarity with CI/ More ❯

degree in Computer Science, Engineering, or related field (or equivalent experience) 5+ years of experience in software development Proficiency in one or more programming languages such as Java, C#, Python, or JavaScript Experience with front-end frameworks (React, Angular, or Vue.js) and back-end technologies (Node.js, .NET, Java) Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for More ❯

architecture, microservices and API design, Cloud-native architecture (AWS, Azure, and/or GCP), integration patterns and middleware Software Engineering: Proficiency in languages and associated technology stacks like Java, Python, C#, or JavaScript, Expert understanding of software development lifecycle (SDLC) and practices, Familiarity with DevOps practices and CI/CD pipelines, and source control management (SCM) systems. Generative AI: Proficiency More ❯

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 ❯

or streaming Agile Delivery: Significant experience in scoping and development of technical solutions in an Agile environment. Technical Proficiency: Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Container technologies (Docker, Kubernetes), IaaC (Terraform) and experience More ❯

for experience in the following skills: Familiarity with AWS CLI or Azure 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. Set yourself apart: Expertise More ❯

Masters, Architects and other stakeholders Support the growth of the discipline through coaching and mentoring Required Skills/Experience We are ideally seeking candidate with: Significant professional experience with Python Use of AWS (or other cloud platform providers) Experience with CI/CD and DevOps tooling and processes Ability to work effectively as a member of a Scrum/Agile More ❯

what's next - together! We are seeking a Senior Software Engineer to join our team in Manchester! Your Impact Software Development: Design, implement, and maintain scalable, maintainable, and efficient Python-based applications, focusing on backend and full-stack development. Collaboration & Communication: Work closely with product managers, designers, and other engineers to understand requirements and deliver solutions that meet business goals. … Debugging and Optimization: Troubleshoot and debug production issues. Optimize applications for performance and responsiveness. Stay Up to Date with Technology: Keep yourself and the team updated on the latest Python technologies, frameworks, and tools like Apache Spark, Databricks, Apache Pulsar, Apache Airflow, Temporal, and Apache Flink, sharing knowledge and suggesting improvements. Documentation: Contribute to clear and concise documentation for software … processes, and systems to ensure team alignment and knowledge sharing. Your Qualifications Experience: Professional experience in Python development or related software engineering roles. Python Proficiency: Strong knowledge of Python, including experience with web frameworks like Django, Flask, or FastAPI. Database Management: Solid experience with relational databases like PostgreSQL or MySQL and familiarity with NoSQL databases like Redis. Distributed Systems: A More ❯

infrastructure automation in a secure and highly regulated financial services environment. Key Responsibilities Design, build, and maintain secure, scalable, and performant backend REST API services and frontend clients using Python, Golang, Docker, and cloud-native services .Manage database schema changes with Liquibase, ensuring compliance and audit alignment.Build and maintain CI/CD pipelines , embedding security and regulatory controls.Oversee GCP cloud … and resolve performance issues. Qualifications & Experience Bachelor's/Master's in Computer Science or equivalent professional experience. 5+ years' software engineering experience with distributed systems.Proficiency in Golang and Python .Strong hands-on experience with GCP cloud-native services (AWS exposure desirable).Infrastructure as Code (Terraform/Ansible) and DevOps CI/CD pipelines (Jenkins, GitLab CI, etc.).Database expertise More ❯

Azure advancements and contribute to continuous improvement initiatives Essential Skills & Experience Proven hands-on experience developing solutions using Microsoft Azure Proficiency in one or more programming languages ( C#, .NET, Python, Node.js ) Strong knowledge of Azure services: App Services, Functions, Containers, Key Vault, SQL, Storage, Event Hub Experience implementing Infrastructure as Code (Terraform, Bicep, or ARM templates) Solid understanding of CI … is desirable. Experience with containerisation and orchestration (Docker, Kubernetes, AKS) Familiarity with API management, event-driven architectures , and integration patterns Exposure to automation tools such as Ansible, PowerShell, or Python scripting Experience working in secure or regulated environments (e.g. government, defence, finance) Security Clearance Requirements Due to the nature of the work, candidates must be eligible for national security clearance More ❯

to support AI/ML workloads. Develop infrastructure-as-code (IaC) solutions using Terraform for provisioning Databricks, cloud resources, and network configurations. Build automation and self-service capabilities using Python, Java and APIs for platform onboarding, workspace provisioning, orchestration and monitoring. Collaborate with data science and ML teams to define compute requirements, governance policies, and efficient workflows across dev/… platform performance, reliability, and usage, and drive improvements to optimize cost and resource utilizations Required Skills: Proven experience with Terraform for building and managing infrastructure. Strong programming skills in Python and Java Hands-on experience with cloud networking, identity and access management, key vaults, monitoring, and logging in Azure Hands on experience with Databricks (Workspace management, Clusters, Jobs, MLFlow, Delta More ❯

organisation, including executive tasks and decisions. Our multidisciplinary team offers flexibility for individuals to move between core engineering, infrastructure, testing and research. Our stack includes Go, VueJS, Postgres and Python, deployed through a fully automated AWS environment (Terraform, Ansible, GitHub Actions). Alongside this, we're building the next generation of our data and AI infrastructure - exploring frameworks like Hugging … to keep us moving forward. You might be a good fit if: 4+ years of software engineering experience. Expert-level ability in a server-side language such as Go, Python or Java. Solid experience across multiple areas of the stack - front end and back end. Strong relational database knowledge, including schema design and optimisation. Proficient with source control (Git/ More ❯

with containerisation (e.g., Docker, Kubernetes) and microservices architectures is a plus. Skills: Strong knowledge of IT infrastructure, virtualisation technologies, and network management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). Familiarity with CI/CD pipelines and deployment automation. Experience with environment monitoring tools (e.g., Prometheus, Nagios, Datadog). Knowledge of security best practices and compliance standards in More ❯

or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing ● Experience with at least one of the programming languages like Python, C++[2] , Java ● Experience with version control and code review tools such as Git ● Knowledge of latest data pipeline orchestration tools such as Airflow ● Experience with cloud platforms (AWS, GCP More ❯

such as RDS, DynamoDB, Cloud SQL, or Cosmos DBStrong skills with Infrastructure as Code (Terraform, CloudFormation, etc.) and containerisation (Docker, Kubernetes)A solid command of scripting languages such as Python, Bash, or PowerShell Good knowledge of both SQL and NoSQL database modelsExperience with CI/CD, Git, and configuration management tools Nice-to-haves include cloud/database certifications, experience More ❯

DevOps Engineer - FinTech - Newcastle (Tech stack: DevOps Engineer, PowerShell, C#, Java, Python, Ansible, Terraform, Docker, Kubernetes, Docker Swarm, ELK, Grafana, CI/CD, TeamCity, SQL Server, Windows, Linux, Programmer, Developer, Architect, DevOps Engineer) Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design and build advanced trading and analytics platforms used globally by More ❯

and management. Solid understanding of MLOps practices, including model training, deployment, and monitoring. Hands-on experience with Kubernetes and containerised environments. Technical Skills: Proficiency in programming languages such as Python & SQL. Experience with distributed computing frameworks such as Spark. Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Soft Skills: Strong problem-solving skills and the ability More ❯

Sybase. Proficiency in Agile Methodologies, DevOps, Site Reliability Engineering, and software development; familiarity with tools and technologies such as Amazon S3, AWS, Ansible, Docker, Kubernetes, Linux, Microsoft Azure, Oracle, Python, Splunk, App Dynamics, AI and Terraform at various competency levels. At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here's More ❯

/Deep Learning pipelines and models Good understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP) Expert coding skills in Python and at least one of these languages: Scala, C++, Java Hands on experience with database management languages (e.g., SQL, PostgreSQL) Hands on experience in cloud based infrastructures (AWS/GCP More ❯