1 to 25 of 97 Python Jobs in the City of London

infrastructure as code. Excellent understanding of CI/CD principles and experience with related tools (e.g. Azure DevOps, GitHub Actions). Strong knowledge of scripting languages such as PowerShell, Python and Azure CLI and proven experience with automation runbooks, VM maintenance scripts and SQL. Strong knowledge on Cloud Networking (Azure) such as private endpoints, Firewalls, NSGs, NAT gateways and route More ❯

sensitive data Collaborate with stakeholders across the business to deliver value-driven solutions What were looking for: London/Lloyd's Market experience is essential Strong programming skills in Python and SQL; knowledge of Java or Scala is a plus Solid experience with relational databases and data modelling (Data Vault, Dimensional) Proficiency with ETL tools and cloud platforms (AWS, Azure More ❯

5+ years AWS experience (VPC, EC2, ECS, EKS, EFS, S3, Workspaces, Security Groups, CloudWatch/CloudTrail, IAM). Strong containerization expertise (Docker or similar). Scripting and automation with Python or Bash. Modern CI/CD practices and pipeline creation (e.g., Jenkins, GitHub Actions). Infrastructure as Code tools (Terraform), configuration management (Ansible preferred). Aurora/RDS MySQL (including More ❯

learning and engineering excellence. Skills and Experience: Bachelors degree or higher in a technical discipline Extensive experience in AWS services Solid foundation in software engineering principles Advanced SQL skills Python strongly preferred More ❯

and engineering experience Bachelors degree in Computer Science (or equivalent) preferred Strong experience with automation tools (Ansible, Terraform, etc) Strong experience working with Linux systems and tools Experience with Python (or equivalent high-level language) Experience software development tools (Github, Jenkins, etc) and software development practices Experience with any of the Hyperscale cloud platforms such as Azure, AWS, Google Cloud 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 ❯

issues, while driving continuous improvement. Qualifications: Bachelors degree in Computer Science, Engineering, or related field. 7+ years experience working in the Azure/Data space. Strong experience with SQL, Python, and data warehousing/ETL best practices. Hands-on experience with Azure cloud services; certification preferred. Familiarity with Infrastructure as Code (IaC), CI/CD, and GitHub/Azure DevOps More ❯

CI/CD tooling - Experience developing pipelines & scripts - Terraform - Experience automating into public cloud providers - Linux - Git version control Desired Skills/Experience: - Microsoft Azure certification - PowerShell - Kubernetes - Ansible - Python - Visual Studio Code - Windows Server and associated infrastructure (e.g. AD) Azure Platform Engineer/DevOps In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised More ❯

wide variety of Generative AI models Conceptual understanding of how large language models work Proficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python) Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential) Experience with cloud native tooling for Azure and AWS Strong analytical and problem-solving skills Disclaimer More ❯

the shelf) products integrated within Live systems. Required Skills & Experience: C#/java, .NET Core Containerisation (Docker, Kubernetes, OpenShift) xUnit Agile working practices CI/CD tooling Scripting experience (Python, Perl, Bash, etc.) ELK (Elastic stack) JavaScript Cypress Linux experience Search engine technology (e.g., Elasticsearch) Big Data Technology experience (Hadoop, Spar k , Kafka, etc.) Microservice and cloud native architecture Desirable More ❯

practices in data, ML, and AI. What we re looking for • A background in data science or advanced analytics (insurance/financial risk exposure is a plus). • Strong Python and SQL skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with More ❯

practices in data, ML, and AI. What we’re looking for • A background in data science or advanced analytics (insurance/financial risk exposure is a plus). • Strong Python and SQL skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with More ❯

specific use cases Collaborate with product teams to identify opportunities for AI integration that improve user experience and operational efficiency. Develop clean, modular, and scalable codebases using languages like Python, Java, or C#. Architect and deploy microservices that expose AI capabilities via RESTful APIs or cloud-native platforms (e.g., Azure, AWS). Ensure high availability and fault tolerance of AI More ❯

code practices. Experience developing reusable components and APIs is a strong plus. Advanced SQL skills for complex data queries and transformations Proficiency in at least one programming language, with Python strongly preferred for data processing, automation, and pipeline development AWS or Snowflake certifications are a plus Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS More ❯

Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and communication skills. Why This Role Stands Out Impactful work at the intersection More ❯

of emerging tools and platforms What You'll Bring Essential Experience: University degree (2:1 minimum) in analytical field 5+ years in analytics/intelligence function Expert-level: Databricks, Python, SQL, Excel, JavaScript Advanced Excel skills including macro development Experience with Qlik or similar BI platforms Proven track record in cross-team project management Passion for technology and automation Highly More ❯

other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in data processing and analysis using Python and SQL. Experience with data governance, data quality, and data security best practices. Strong knowledge of market data and its applications. Some other highly valued skills may include: Experience with More ❯

services (e.g., Symantec, Tanium, Tenable) will be considered. Strong familiarity with systems administration on Unix (RHEL, OEL, Solaris), Windows Servers, VMware, Databases, Applications, and Middleware services. Strong familiarity with Python, Bash, PowerShell, and/or regex, with the ability to develop scripts and run code. Ideal Candidate: Strong analytical and problem-solving skills with high attention to detail and a More ❯

Azure Functions, App Services, AKS, and Logic Apps Hands-on experience with Azure Cosmos DB including query optimisation and throughput management Proficiency with Cosmos DB SDKs (e.g., .NET, Java, Python, Node.js) Experience with SQL API and familiarity with other APIs Strong understanding of partitioning, indexing, and consistency levels Experience with Git, version control, and continuous integration tools Desirable: Advanced proficiency More ❯

based access controls - Cryptographic protocols and secure key lifecycle management - Securing microservices, APIs, and DevSecOps best practices Skilled in penetration testing and hands-on coding with JavaScript, Java, or Python Strong understanding of vulnerability scanning, remediation, and vendor management Collaborative mindset with the ability to partner across engineering, security, and product teams Desirable Skills: Hands-on configuration, deployment, and operation More ❯

Storage, Networking, Security (RBAC, OAuth, SAML) Solid software development experience with: C# (.NET/.NET Core) REST APIs, SQL Server (T-SQL), HTML/CSS/JavaScript/React, Python Comfortable with tools like Azure Data Factory , Databricks , Power Automate , Power Platform , Copilot Studio . Strong knowledge of cloud security , automation , and DevOps principles. ?? Bonus Points for: Experience in the More ❯

data pipelines. Data Modelling: Design and manage data models to create logical data structures that enhance accessibility and usability. Application Development: Build full-stack applications using tools such as Python, SQL, and relevant frameworks, delivering intuitive user interfaces and interactive workflows. Data Governance: Implement data lineage tracking and access controls to uphold compliance with organisational and regulatory standards. Client Collaboration More ❯

experience managing a pipeline of analytical work and aligning outputs with organisational priorities. Expertise in AI/ML techniques, including predictive modelling, NLP, and large language models. Proficiency in Python, R, and relevant libraries for data analysis and modelling. Demonstrated ability to balance rigour with practical application, clearly articulating both insights and limitations of data science. Experience leading high-performing More ❯

cloud environments (VMware, AWS, Azure, GCP). Provide technical expertise and knowledge transfer. Skills & Experience: Strong background with VMware Aria/vRealize Automation, vRO, vSphere, NSX . Scripting (PowerShell, Python) and IaC tools (Terraform, Ansible). Experience in large enterprise or consultancy settings. What's on Offer: Remote role with some travel. Initial 3-6 months, Inside IR35. More ❯

Mentor junior team members and lead technical workstreams to elevate team capability. Essential Skills & Experience Proven experience in analytics engineering , data engineering , or model development roles. Advanced proficiency in Python (including libraries such as NumPy and Pandas) and SQL . Demonstrated ability to deliver production-ready solutions in a commercial environment. Strong communication skills with the ability to engage stakeholders More ❯