46 to 70 of 1,049 Python Jobs in London

Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience More ❯

Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience More ❯

Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience More ❯

with Ansible Cloud platforms (AWS, Azure) Containerization (LXC, LXD, Docker, Kubernetes) CI/CD tooling (TeamCity, Jenkins, GitHub Actions) Server monitoring and alerting systems (Prometheus, Grafana, Zabbix, Datadog) Strong Python programming skills Solid Linux administration and general networking knowledge Understanding of infrastructure security best practices, including secure configuration, identity and access management, and compliance controls Experience with monitoring, alerting, and More ❯

Azure DevOps CI/CD pipelines for secure and efficientsoftware delivery.o Deploy microservices using AWS ECS, ECR, and Fargate, ensuring secure andscalable architecture. Development & Containerization:o Proficiency in Python and Node.js for developing secure, scalableapplications.o Hands-on experience with Docker for containerizing applications andmanaging secure container environments.  API Management & Analytics:o Strong knowledge of Apigee or similar API More ❯

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; contribu More ❯

national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Ideal Profile: An Ideal Candidate Should Have Proven experience in backend development: Python Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers. Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized More ❯

fostering growth and skill development. Skills and Experience Delivering significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. More ❯

Query Language. Cloud Security Policy Engineering and Testing - create cloud security policy, engineer it, test it and deploy it. Experience Workload Coding Languages & Frameworks - JAVA REST services with Spring, Python, .NET, etc. Threat Modelling Skills with tools such as IriusRisk or similar; experienced at identifying security flaws in cloud solutions via architectural assessment and threat modelling. Experience in Cloud Security More ❯

for experience with a compliance framework (ISO27001, PCI-DSS). Infrastructure-as-Code: Mastery of Terraform, CloudFormation, CDK or equivalent tools. Scripting & Automation: Skills in a scripting language like Python, Ansible, Bash, Groovy, Powershell, or similar. Bonus points if you share your GitHub repo! Other Nice To Haves Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings More ❯

Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R, SQL) Experience with data visualization tools (Tableau, Power BI, etc.) You may be assessed on the key critical skills relevant for success in role, such as risk and controls More ❯

written and verbal. Desirable, but not essential Familiarity with Agile methodologies, tools and ways of working. Experience and knowledge of CI/CD tools. Experience in scripting/coding (Python, C#, PowerShell). Experience of common automation tools (Terraform, Ansible). Experience with monitoring solutions (Nagios, Zabbix, NetCool, Icinga, Elastic). Previous experience of working in a DevOps environment. If More ❯

written and verbal. Desirable, but not essential Familiarity with Agile methodologies, tools and ways of working. Experience and knowledge of CI/CD tools. Experience in scripting/coding (Python, C#, PowerShell). Experience of common automation tools (Terraform, Ansible). Experience with monitoring solutions (Nagios, Zabbix, NetCool, Icinga, Elastic). Previous experience of working in a DevOps environment. If More ❯

business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping. Technology Stack We build cloud solutions using C#, .NET Core, Typescript, React, MSSQL Server, Azure, Python, MongoDB, Redis, Docker, Kubernetes, Service Fabric, Grafana and more. We also offer the opportunity to work on state-of-the-art architectures and technology stacks, as well as a global More ❯

Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile development environment Data architecture experience. More ❯

audiences Experience working in middleware technology, ideally within API management, IAM or integration Good knowledge of REST, JSON and XML Some scripting experience, ideally with Java or JavaScript/Python Hands-on experience with cloud providers (AWS, Azure, GCP) Ability to design deployment architectures (HA, DR, etc) Understanding of Kubernetes, Docker, CI/CD processes as well as experience with More ❯

time series analysis, causal inference, and statistical modeling. Experience leading end-to-end data science projects from ideation to delivery, including business scoping and stakeholder management. Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels). Solid foundation in SQL and data wrangling across large, complex datasets. More ❯

and implementing end-to-end CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) and configuring Git runners for private cloud deployments. Scripting: Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for developing automation glue logic and utility scripts. Analytical Skills: Excellent ability to analyze complex technical problems, map out process flows (e.g., using BPMN or flow charts), and More ❯

team. About you The role requires a blend of technical depth and product sense, including Bachelor's or Master's degree in Computer Science, Engineering, or related field. Strong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred). Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud More ❯

team. About you The role requires a blend of technical depth and product sense, including Bachelor's or Master's degree in Computer Science, Engineering, or related field. Strong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred). Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud More ❯

with Infrastructure as Code tools (Terraform, Ansible, etc.). 2. Minimum 3 + year hands-on experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). 6. Strong understanding More ❯

releases Mentor and support other QA engineers in automation best practices Essential Skills & Experience 7+ years’ experience in QA engineering within financial services or other complex enterprise environments Strong Python scripting skills for automation Experience with Avaloq (desirable) Hands-on experience testing RESTful APIs and performing data validation Familiarity with CI/CD pipelines, version control (Git), and Agile methodologies More ❯

Providing training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field More ❯

Providing training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field More ❯

observability and telemetry solutions Understanding of cloud security, identity management, and compliance frameworks Networking fundamentals and familiarity with Azure databases and messaging services Scripting skills (Bash/PowerShell/Python) and Linux system administration Strong Azure experience: AKS, Container Registry, App Services, Virtual Networks, API Management, monitoring tools Azure certifications (AZ-104, AZ-400, CKA) advantageous To be considered, please More ❯