126 to 150 of 1,131 Python Jobs in London

team. Key skills required. Cloud infrastructure and Kubernetes Experience managing BareMetal Kubernetes GitOps workflows CI/CD including Terraform/ArgoCD/Ansible. Linux or Ubuntu Git Desired skills: Python scripting at a high level Comfortable deploying self-managed Kubernetes For more information, please contact Charles Jenson Recruitment. More ❯

Synapse Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python, PySpark, or T-SQL for transformations. Understanding of CI/CD and DevOps (Git, YAML pipelines). Strong grasp of data governance, security, and performance tuning. To apply for this More ❯

Synapse Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python, PySpark, or T-SQL for transformations. Understanding of CI/CD and DevOps (Git, YAML pipelines). Strong grasp of data governance, security, and performance tuning. To apply for this More ❯

/Scala) and related tools to ensure quality and consistency. Utilize Unity Catalog, Delta Lake, Spark SQL, and best practices for Databricks development, optimization, and deployment. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from multiple sources and formats (CSV, JSON, Parquet, Delta) for downstream analytics, dashboards, and reporting. Apply Azure Purview for governance and quality checks. Monitor More ❯

governance, and risk management requirements. Required Skills & Experience Proven experience leading technical delivery of AI/automation solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance More ❯

Strong proficiency in Azure Data Factory, Synapse Analytics, Databricks, and Azure SQL. Solid understanding of data modeling, ETL/ELT design, and data warehousing principles. Proficiency in SQL and Python for data transformation and automation. Experience working with version control (e.g., Git) and CI/CD for data solutions. Familiarity with data governance, metadata management, and data security best practices. More ❯

of the time. About you: You have experience of building enterprise grade systems that are reliable, secure, maintainable and observable You have strong TypeScript and Node.js backend development skills - Python is also desirable for data related work You have experience of building event-driven systems and public APIs You have a strong appreciation of SaaS, Kubernetes, Infrastructure as Code, GitOps More ❯

of CI/CD, Agile delivery, and containerisation (Docker, Kubernetes) Proven leadership of distributed engineering teams Desirable: Background in social media, advertising, eCommerce, or news Proficiency in Node.js, Go, Python, Java , and modern front-end frameworks AWS certifications, microservices/service mesh, and streaming tech (Kafka/Kinesis) If you're ready to solve hard problems , enjoy architectural freedom , and More ❯

of CI/CD, Agile delivery, and containerisation (Docker, Kubernetes) Proven leadership of distributed engineering teams Desirable: Background in social media, advertising, eCommerce, or news Proficiency in Node.js, Go, Python, Java , and modern front-end frameworks AWS certifications, microservices/service mesh, and streaming tech (Kafka/Kinesis) If you're ready to solve hard problems , enjoy architectural freedom , and More ❯

complex and sensitive datasets from varied sources. About You You will have extensive hands-on experience in data engineering and data architecture as well as strong skills in SQL, Python, data modelling, ETL/ELT design, and orchestration. You will have a proven background with Azure storage, compute, security and Microsoft Fabric components such as Dataflows, Lakehouse, Pipelines or Synapse More ❯

CI/CD, Agile delivery, and containerisation (Docker, Kubernetes). Strong leadership of distributed engineering teams. Desirable: Experience in social media, advertising, eCommerce, or news. Proficiency in Node.js, Go, Python, Java, and modern front-end frameworks. AWS certifications, microservices/service mesh, and streaming tech (Kafka/Kinesis). If you're ready to tackle hard problems, enjoy architectural freedom More ❯

distributed infrastructure. Experience with cloud computing (AWS, GCP, or Azure) and containerization/orchestration tools such as Docker and Kubernetes. Proficiency in backend programming languages such as Go, Rust, Python, or C++. Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments is a strong plus. Knowledge of network optimization, data streaming, and caching architectures preferred. Excellent collaboration More ❯

ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity with streaming data technologies (e.g., Kinesis, Kafka, or similar). DevOps Principles: Experience with version control (git) and More ❯

ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity with streaming data technologies (e.g., Kinesis, Kafka, or similar). DevOps Principles: Experience with version control (git) and More ❯

AWS) • Security best practices • IAM, OAuth, Cognito, OIDC - all advantageous • Containers and Orchestration (Docker, Kubernetes) • DevOps/DevSecOps and related tools • Knowledge of multiple languages such as Javascript, Java & Python Salaries - £90,000 - £115K SC Clearance: Zaizi works with UK Central Government departments on a range of projects. To be able to work on our customer projects, employees must be More ❯

team. What we're looking for: 1+ years' experience as a software developer (Ideally with exposure to both frontend and backend development.) Strong experience in at least one of: Python, JavaScript, Java or C# . Computer Science BSc. Strong educational background, attending a Russell Group University. Basic knowledge of relational databases (e.g. Postgres, MySQL, SQL Server). Familiarity with building More ❯

of professional experience in test automation engineering. Strong expertise with automation frameworks such as Playwright, Cypress, or Selenium. Proficiency in at least one programming language used for automation (e.g., Python, JavaScript, or Java). Solid understanding of CI/CD pipelines and experience integrating test automation into build processes. Experience with API testing tools (e.g., Postman, RestAssured) and database validation More ❯

Experience working close to quantum hardware APIs. Experience of API-level interaction and understanding of device-specific properties (e.g., coherence times, gate fidelities, execution queues) Requirements Strong experience in Python and modern software engineering practices Be comfortable with low-level programming when needed (e.g. C++, Rust, C) Strong software engineering background, including: Design patterns Data structures and algorithms API design More ❯

experience Comfortable shipping AI features or automation products Essential skills: Strong experience with Machine Learning, LLMs, NLP and Data Science Proven track record of building and deploying AI models (Python, TensorFlow, PyTorch, LangChain) Hands-on with cloud platforms (preferably Azure, or AWS, GCP) Good understanding of APIs, microservices, and data pipelines Able to prototype quickly and communicate findings clearly Why More ❯

we operate What excites us about you? You have experience as DevOps/SRE/Infrastructure engineer You have the ability to program in one or more languages like Python, GoLang, Bash or Javascript You have experience managing server infrastructures with high availability requirements You had designed secure networks, systems, and application architectures You had set up and maintained software More ❯

Terraform, Ansible Platforms: Kubernetes (EKS), ECS, Docker, Lambda, Airflow Observability: EFK, Prometheus, Grafana, Jaeger/OpenTelemetry Persistence: MySQL, PostgreSQL, MongoDB, Redis, Elasticsearch, Kafka Pipelines: GitHub Actions, AWS CodeBuild Runtimes: Python, Node.js, Golang Strong networking fundamentals, especially OSI layer 3+ and distributed performance optimisation. Experience operating global/multi-region cloud infrastructure, navigating cost, risk, and data sovereignty. Comfort working with More ❯

Terraform, Ansible Platforms: Kubernetes (EKS), ECS, Docker, Lambda, Airflow Observability: EFK, Prometheus, Grafana, Jaeger/OpenTelemetry Persistence: MySQL, PostgreSQL, MongoDB, Redis, Elasticsearch, Kafka Pipelines: GitHub Actions, AWS CodeBuild Runtimes: Python, Node.js, Golang Strong networking fundamentals, especially OSI layer 3+ and distributed performance optimisation. Experience operating global/multi-region cloud infrastructure, navigating cost, risk, and data sovereignty. Comfort working with More ❯

to travel as client needs dictate. Requirements: Scientific or technical degree, or a relevant professional qualification, or equivalent experience Some experience in software engineering using mainstream languages such as Python, Java or .Net (with related technologies) Some experience with SQL, PowerBI would be beneficial Show aptitude and an interest to get involved in a variety of problem solving activities as More ❯

of ad-hoc studies, measuring marketing effectiveness and providing actionable insights. Requirements Extensive experience with version control tools, preferably Git. Proficiency in Docker and container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models in More ❯

dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python; strong back‐end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping More ❯