301 to 325 of 3,172 Python Jobs in London

engineering, with at least 3 years in a technical leadership role. Proven experience working with GenAI technologies (e.g., OpenAI, Hugging Face, LangChain, RAG pipelines). Strong programming skills in Python, SQL, and familiarity with cloud platforms (Azure, AWS, GCP). Expertise in data architecture, ETL/ELT pipelines, and distributed computing frameworks (e.g., Spark, Databricks). Excellent communication, stakeholder management More ❯

DevOps roles Deep Kubernetes expertise, including GPU workload optimisation Strong AWS and GCP experience Proven skills with Terraform , GitOps tools, and CI/CD (GitHub Actions preferred) Proficiency in Python and scripting for automation Solid understanding of cloud networking, security, and cross-cloud connectivity Experience in monitoring, observability, and cost optimisation Nice to Have Experience with ML tooling (MLflow, Kubeflow More ❯

be joining the innovative Information Security Cybertech Engineering team as a full stack software engineer in a global team responsible for developing web applications (Java/Angular), data engineering (Python) and solutions with third party products. You will be working in a collaborative and inclusive fast-paced environment that leverages agile approaches to deliver solutions quickly. You will work directly More ❯

DevOps Tooling: Jenkins, Git, ServiceNow, Trivy, Terraform Streaming & Messaging: Apache Kafka (including Kafka Replication) Data Layers: PostgreSQL, Redis, RDLs Automation: IaC, pipeline build automation, event relay tooling Scripting: Bash, Python, Groovy, Lambda functions Responsibilities Run, manage, and continuously evolve the AWS and secure on-premise environments to ensure availability. Lead Level 3 (L3) production support and non-production environment maintenance More ❯

DevOps Tooling: Jenkins, Git, ServiceNow, Trivy, Terraform Streaming & Messaging: Apache Kafka (including Kafka Replication) Data Layers: PostgreSQL, Redis, RDLs Automation: IaC, pipeline build automation, event relay tooling Scripting: Bash, Python, Groovy, Lambda functions Responsibilities Run, manage, and continuously evolve the AWS and secure on-premise environments to ensure availability. Lead Level 3 (L3) production support and non-production environment maintenance More ❯

critical solutions Drive best practices around CI/CD, infrastructure-as-code, and modern data tooling Introduce and advocate for scalable, efficient data processes and platform enhancements Tech Environment: Python, SQL, Spark, Airflow, dbt, Snowflake, Postgres AWS (S3), Docker, Terraform Exposure to Apache Iceberg, streaming tools (Kafka, Kinesis), and ML pipelines is a bonus What We're Looking For: 5+ More ❯

lake solutions, workflow orchestration tools) based on evolving business needs. What You'll Need Proven experience designing, building, and scaling data platforms or backend infrastructure in production environments. Strong Python skills , with a solid foundation in software engineering principles. Expertise with AWS services , including Lambda, ECS/EC2, S3 and RDS. Deep experience with Terraform and infrastructure-as-code practices. More ❯

DevOps Tooling: Jenkins, Git, ServiceNow, Trivy, Terraform Streaming & Messaging: Apache Kafka (including Kafka Replication) Data Layers: PostgreSQL, Redis, RDLs Automation: IaC, pipeline build automation, event relay tooling Scripting: Bash, Python, Groovy, Lambda functions Responsibilities Run, manage, and continuously evolve the AWS and secure on-premise environments to ensure availability. Lead Level 3 (L3) production support and non-production environment maintenance More ❯

DevOps Tooling: Jenkins, Git, ServiceNow, Trivy, Terraform Streaming & Messaging: Apache Kafka (including Kafka Replication) Data Layers: PostgreSQL, Redis, RDLs Automation: IaC, pipeline build automation, event relay tooling Scripting: Bash, Python, Groovy, Lambda functions Responsibilities Run, manage, and continuously evolve the AWS and secure on-premise environments to ensure availability. Lead Level 3 (L3) production support and non-production environment maintenance More ❯

role along with the willingness to develop in other areas as needs arise. 5+ years of experience working on medium or large software projects. Ideally this will be with Python, ReactJS/JavaScript, and/or C++. Customer focused, with the ability to translate complex domain concepts into compelling product. Experience deploying serverless applications on the Cloud, ideally on AWS. More ❯

AWS Secrets Manager, Azure Key Vault, etc.). Strong DevOps background – think CI/CD pipelines (Terraform, Jenkins, GitHub Actions, GitLab, Azure DevOps). Proficiency in automation and scripting ( Python, PowerShell, Bash ). Familiarity with AWS, Azure, or GCP IAM capabilities. Solid grasp of security frameworks and best practices . Next Steps If you're ready for a role that More ❯

AWS Secrets Manager, Azure Key Vault, etc.). Strong DevOps background – think CI/CD pipelines (Terraform, Jenkins, GitHub Actions, GitLab, Azure DevOps). Proficiency in automation and scripting ( Python, PowerShell, Bash ). Familiarity with AWS, Azure, or GCP IAM capabilities. Solid grasp of security frameworks and best practices . Next Steps If you're ready for a role that More ❯

Tech-agnostic engineer, with competence in a major programming language - experience in functional programming languages is preferred. Some of the technologies we use include Elixir, Phoenix LiveView, EmberJS, TypeScript, Python, Postgres SQL, AWS and Docker. The Opportunity: Work in an exciting, fast-paced startup environment where you can personally influence the course of the company Genuinely impact the global energy More ❯

data pipelines (ETL/ELT) Implement SDLC and agile practices Apply domain-driven design principles Solve problems and automate complex business processes Qualifications and Experience: 5+ years experience with Python and/or Java Proficiency in SQL and relational databases Object-oriented design skills Experience with distributed systems, orchestration, micro-services AWS experience (e.g., S3, Redshift, Glue, Lambda) Bachelor's More ❯

CD, and infrastructure-as-code Requirements 7+ years in data architecture or senior engineering roles Strong hands-on experience with Azure Databricks and Azure Data Factory Proficient in SQL, Python , and Spark Expertise in data modelling and architectural patterns for analytics (e.g., lakehouse, medallion, dimensional modelling) Solid understanding of cloud security, private networking, GDPR, and PII compliance Excellent communication skills More ❯

process involves executing multiple models feeding each other to produce the final business outcome, orchestrate them to run based on the defined dependencies. Define and Maintain the ML Frameworks (Python, R & MATLAB templates) with any common reusable code that might emerge as part of model developments/operationalisation for future models to benefit. Where applicable, capture data drift, concept drift 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 ❯

AWS Secrets Manager, Azure Key Vault, etc.). Strong DevOps background – think CI/CD pipelines (Terraform, Jenkins, GitHub Actions, GitLab, Azure DevOps). Proficiency in automation and scripting ( Python, PowerShell, Bash ). Familiarity with AWS, Azure, or GCP IAM capabilities. Solid grasp of security frameworks and best practices . Next Steps If you're ready for a role that More ❯

ELT). Apply SDLC and agile principles in software delivery. Implement domain-driven design. Problem solve and automate complex business processes. Qualifications and Experience: 5+ years of experience with Python and/or Java. Proficiency in SQL and relational databases. Experience with object-oriented design, distributed systems, orchestration, and micro-services. AWS experience (e.g., S3, Redshift, Glue, Lambda). Bachelor More ❯

AWS Secrets Manager, Azure Key Vault, etc.). Strong DevOps background – think CI/CD pipelines (Terraform, Jenkins, GitHub Actions, GitLab, Azure DevOps). Proficiency in automation and scripting ( Python, PowerShell, Bash ). Familiarity with AWS, Azure, or GCP IAM capabilities. Solid grasp of security frameworks and best practices . Next Steps If you're ready for a role that More ❯

platforms Docker containerization Kubernetes for orchestration AWS services (e.g., S3, Lambda, EC2, etc.) Maven for build and dependency management CI/CD pipelines and deployment automation Basic understanding of: Python (scripts, tools, integrations) Frontend technologies: HTML, CSS, JavaScript (for context when integrating with frontend More ❯

security , resilience , and compliance . Essential Skills & Experience: Proven experience as a DevOps Engineer or Automation Engineer in an enterprise environment. Strong skills in automation tools and scripting (e.g., Python, PowerShell, Bash). Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps). Deep understanding of Infrastructure-as-Code (e.g., Terraform, Ansible). Experience integrating More ❯

CD, and infrastructure-as-code Requirements 7+ years in data architecture or senior engineering roles Strong hands-on experience with Azure Databricks and Azure Data Factory Proficient in SQL, Python , and Spark Expertise in data modelling and architectural patterns for analytics (e.g., lakehouse, medallion, dimensional modelling) Solid understanding of cloud security, private networking, GDPR, and PII compliance Excellent communication skills More ❯

closely with other software and hardware developers, our customers, and our partners to develop the platform. Key Responsibilities Architect and implement new features across our React front end and Python/JS backend. Build and integrate with RESTful APIs, microservices, and data pipelines Optimise application performance, load times, and reliability Collaborate on UX design, sprint planning, and code reviews Ensure More ❯

reference Bachelor's or master's degree in computer science, Software Engineering, or related field Strong understanding of computer science fundamentals Proficiency in at least one programming language (preferably Python) Basic knowledge of database concepts and SQL Understanding of RESTful APIs and web services Familiarity with version control systems (Git) Strong problem-solving skills and attention to detail Good to More ❯