51 to 75 of 1,128 Python Jobs in London

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 ❯

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 ❯

Infrastructure as Code for managing Snowflake and cloud resources. Proficiency in designing and automating CI/CD pipelines using GitHub Actions or Azure DevOps. Strong scripting skills in SQL, Python, or Bash for automation and tooling. Solid understanding of Snowflake security features such as data masking, encryption, identity federation, and network policies. Familiarity with observability practices, including query profiling, usage More ❯

at scale, infrastructure reliability, scalability, security, and continuous improvement Have deep experience with Kubernetes and container orchestration at scale Have strong proficiency in at least one programming language (e.g., Python, Rust, Go) Have strong problem-solving skills and the ability to work independently Have a passion for supporting internal partners like research teams to understand their needs Have excellent communication More ❯

tools like Prometheus and Grafana, including metrics collection and alerting. Familiarity with at least one major cloud platform (AWS, GCP, or Azure). Strong scripting or programming skills in Python, Go, or Bash for automation and tooling development. What you will gain at Intapp: At Intapp, you'll get the opportunity to bring your talents and intellectual curiosity to create 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 ❯

proficiency in HTML5, CSS3, ES6/TypeScript, and responsive design principles Solid experience with React (or similar modern frontend frameworks) and component-driven UI architecture Backend development expertise in Python (FastAPI, Flask), .NET Core, or Comfortable designing and consuming RESTful APIs Familiarity with both relational (PostgreSQL, SQL Server) and NoSQL databases Experience with Git and version control workflows Strong foundation 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 ❯

clear documentation and contribute to internal knowledge repositories Essential Skills Strong experience developing within Microsoft Azure and Microsoft Fabric: Proficiency in Spark programming including DataFrames, RDDs, and Spark SQL Python and PySpark development experience, including notebook-based workflows Hands-on experience with Spark streaming and batch processing Delta table optimisation and Fabric Spark job development Solid Java programming and OOP More ❯

Proven experience as a Platform Engineer , with a strong emphasis on user experience . Proficiency in container orchestration (Kubernetes) and cloud infrastructure management (AWS). Expertise in scripting languages (Python, Bash) and programming languages (Java). Hands-on experience with DevOps tools : GitLab, Ansible, Prometheus, Grafana, Nagios, Argo CD, Rancher, Harbour. Deep understanding of big data technologies : Hadoop, Spark, and 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP. Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting Solid understanding of relevant data governance, data quality, and data security best practices Strong problem-solving skills, and the ability to think critically More ❯

Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP. Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting Solid understanding of relevant data governance, data quality, and data security best practices Strong problem-solving skills, and the ability to think critically More ❯

designing and optimising prompts for LLMs such as ChatGPT, Claude, Gemini, or Perplexity. Strong understanding of generative AI principles, prompt chaining, context window management, and token efficiency. Proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face. Experience integrating AI into enterprise platforms such as DealCloud, Salesforce, or similar CRMs. Understanding of workflow automation More ❯

on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. More ❯

on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. More ❯

and analysis. Experience with serverless applications, containerisation (e.g. Docker) and CI/CD. Experience in managing cloud services like Google Cloud and AWS. Bonus points Startup experience Experience with Python web services (e.g. FastAPI, Django). Data engineering experience using PyData stack technologies (e.g. NumPy, Pandas, etc.) Experience building machine learning systems with LLMs, RAGs utilising embeddings. Technology Frontend: Typescript More ❯

mentoring testers and fostering a culture of continuous learning and delivery excellence. Bonus Points For: Previous consultancy or professional services experience. Hands-on experience with additional programming languages like Python, Ruby, Scala, or PHP. Exposure to cloud platforms and infrastructure-as-code within test environment. Whats in It for You? We reward leadership and initiative with a package that reflects More ❯