46 to 70 of 7,142 Python Jobs in London

contribute to the design, development, and deployment of AI-powered applications and intelligent workflows. The ideal candidate will have a strong background in Python development, experience integrating AI and ML models or APIs into production systems, and the ability to build scalable, secure, and high-performance applications. Experience with data … cloud-native architectures, and modern AI development patterns will be highly valued. Responsibilities Develop, test, and maintain AI-powered applications and intelligent workflows using Python in a cloud-native environment Design and implement RESTful APIs, microservices, and backend services to integrate AI models, external tools, and enterprise systems Build ...

cloud environments Design and maintain CI/CD pipelines for automated builds, testing, and deployments Develop build, deployment, and automation scripts using Python, Shell, Java, and other scripting languages Package and deploy applications across development, test, and production environments Implement continuous testing and automated quality assurance processes Apply DevOps, Agile … pipelines, automated builds, version control, and deployments Experience deploying and configuring applications across cloud and non-cloud environments Scripting or programming experience with Python, Shell, Java, or similar languages Understanding of DevOps principles, software engineering processes, and SDLC methodologies Experience with automated testing and continuous integration practices Ability to understand ...

contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilities Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache … data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based ...

contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilities Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache … data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based ...

platforms. Manage and improve GCP infrastructure (BigQuery, Cloud Run, Cloud Functions, Cloud Scheduler, Pub/Sub) provisioned via Terraform. Build and maintain the Python CLI tooling that orchestrates client onboarding, config compilation, and pipeline execution. Mentor the team of data engineers, driving best practices in DataOps, code review, testing … pytest, dbt tests), and documentation (MkDocs, etc.).About YouRequired: Strong experience with dbt - macros, Jinja templating, incremental models, seeds, testing, and packages. Proficient in Python 3.11+ building CLI tools, data processing, and automation. Proficient in SQL, ideally BigQuery dialect. Experience with Google Cloud Platform especially BigQuery, Cloud Run, Cloud Functions ...

scikit-learn. Fine-tune and optimize models for performance and scalability. Software Development: Write clean, maintainable, and efficient code in programming languages such as Python, Java, or C++. Develop APIs and integrate AI models into applications. Data Handling: Collect, pre-process, and analyse large datasets to train and evaluate … model development and software engineering. Experience with end-to-end AI project deployment is highly desirable. Technical Skills Proficiency in programming languages such as Python, Java, or C++. Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn. Strong understanding of algorithms, data structures, and software ...

pillars:Technical Leadership & Architecture (e.g., pipeline design, engineering standards, technical reviews, technical debt refactoring, mentoring)Fount Platform & Data Engineering (e.g., ETL/ELT pipelines, Python services, SQL layers, API integrations, cloud infrastructure, cost & performance optimization)Analyst Enablement & AI Integrations (e.g., NocoDB configuration, Boolean ingestion, LLM enrichment frameworks, MCP & provider-hosted … Agile Jira environment to assess technical feasibility, evaluate trade-offs, and translate product requirements into maintainable, scalable technical solutions.Build and maintain production-ready Python services, SQL transformation layers, star-schema data models, and API integrations across relational databases and cloud storage (Azure Data Lake).Optimise pipeline performance, system reliability, compute ...

AutomationKnowledge in maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, etc. for ADF, Databricks and ML models deployments. Develop automation scripts using Python, PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse OperationsWrite, optimize, and troubleshoot SQL queries for: Data validationRoot cause … orchestrationAzure Machine Learning: pipelines, model deployment, monitoringPower BI Service: dataset refreshes, access control, report diagnosticsDevOps & AutomationCI/CD: Azure DevOps, GitHub Actions, YAML pipelinesScripting: Python, PowerShellMonitoring: Azure Monitor, Log Analytics, Alerts, Application Insights SQL & Data WarehousingSQL skills for debugging, data validation, and optimizationExperience with Azure SQL DB, or SQL ServerFamiliarity ...

record of leading data projects in a fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging technologies such as: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure … degree in Computer Science, Engineering, or a related field. 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies. Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks. Solid understanding of CI/ ...

complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with … operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant ...

active SC (Security Check) Clearance or be eligible for such level of clearance.## **Technical Expertise*** **Backend Development**: Experience in building microservices using either Python with **FastAPI**, or TypeScript with **Express** or equivalent* **Frontend Development**: Experience in building React applications using TypeScript, leveraging frameworks such as **Next.js** or **Vite**.* **GenAI … Frameworks**: Familiarity with tools like **LangChain**, **LangGraph**, **CrewAI**, or **Vercel AI** (in Python or JavaScript).* **LLM experience**: Practical experience with **Large Language Models** (LLMs) such as **OpenAI**, **Anthropic**, **Mistral**, or **Llama**, and tools like **Ollama**.* **Cloud Platforms**: Proficiency in **AWS** or **Azure** for hosting and deployment.* **Containerization ...

demonstrate evidence of applying technology to solve business problems. Essential SkillsStrong working knowledge of modern cloud data platforms (Azure Databricks/Spark using Python and associated frameworks, or Snowflake equivalent).Familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms. Strong working knowledge of cloud … reporting and visualisations using PowerBI, Tableau, or equivalent tools. Strong knowledge of SQL and data modelling principles. Experience in application development with proficiency in Python or JavaScript frameworks. Strong knowledge and experience of hosting in major cloud platforms (Azure, AWS, or GCP).Solid understanding of data governance, access control ...

enterprise‐level SQL Server core data platform, with the opportunity to expand your horizons by contributing to work across our full stack — C#, Python, Node, React, R, and Machine Learning and by getting involved as we begin to bring modern data fabrics such as Snowflake and Databricks alongside … written and spoken English, with strong communication skills Understanding of Agile methodologies Technical environment Our platform: a SQL Server core data platform, with C#, Python, Node, and React across the wider stack. Deep SQL expertise is essential — genuinely strong relational data skills at scale, including schema and index design, query ...

evolve engineering standards, patterns, and best practices for data modeling, pipeline design, testing, and observability. Platform & Software EngineeringWrite and review production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST services and internal toolingArchitect and scale streaming and batch processing systems (Flink … growing scale. Experience building reusable frameworks, platforms, or tooling that other engineers depend on (not just point solutions).Hands-on proficiency in both Python and Java for production systems. Systems performance and tuning expertise, with a clear understanding of how architectural decisions affect scalability and cost. Familiarity building REST services ...

analytical requirements into engineered solutions What we need from you 8+ years in data engineering, including 3+ years hands on with Azure Databricks Strong Python and PySpark, backed by advanced SQL Deep grounding in data warehousing, data modelling and integration patterns Unity Catalog and Delta Lake in a production environment ...

thoroughly. What We're Looking For Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). ...

delivering data, analytics or AI work, with a strong interest in tax, technology and transformation. Solid hands-on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. Experience with ...

within Databricks environments. Proven experience building, publishing, and supporting dashboards and reports using Power BI Strong experience and programming skills in languages such as Python and SQL and the ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure ...

systems using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures etc) Software development experience with one or more languages (e.g. Python, Java, C#) Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean ...

delivering data, analytics or AI work, with a strong interest in tax, technology and transformation. Solid hands‐on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. Experience with ...

Databricks and/or Snowflake, including the design, implementation, and optimization of data platforms at scale Strong SQL expertise and software engineering experience using Python and/or other modern programming languages. Experience developing and orchestrating data pipelines using technologies such as DBT, Apache Spark, Airflow, Dagster, Kafka, Flink ...

supporting CI/CD pipelines using GitLab CI/CD, Azure DevOps, or similar tooling. Strong scripting and automation skills using PowerShell, Bash, Python, or other programming languages. Experience administering source control systems such as Git. Experience supporting cloud-based applications and infrastructure in production environments. Practical experience using ...

mindset and willingness to take ownership of delivering reliable, high-quality solutions.* Exposure to complementary technologies such as Docker, Kubernetes, Ansible, OpenSearch, Elastic Cloud, Python, AWS Control Tower, Security Hub, GuardDuty, Inspector, GCP, FinOps, cloud cost optimisation or AI-assisted engineering tools would be beneficial. **Work in a Way That ...

hear from you if you have: 4+ years’ experience across data and analytics, including data engineering, data science, and data visualisation: Proficiency in Python, SQL, and R for data manipulation and querying Familiarity with relational databases such as SQL Server, Oracle Understanding of various data formats, including CSV, JSON ...

Hands-on expertise with data lake/lakehouse architectures and modern streaming solutions. Experience with SQL, NoSQL, ETL/ELT pipelines, and programming languages (Python, R, Java). Familiarity with BI, data visualisation, and DevOps principles. Strong understanding of data governance, security, and compliance frameworks (GDPR, CCPA, HIPAA). Exposure ...