26 to 50 of 5,291 Python Jobs in London

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 ...

engineering, infrastructure, construction, programme controls, PMO, or consultancy environments. Experience with cloud-native architectures, DevOps, CI/CD pipelines, and DataOps practices. Knowledge of Python, Spark, PySpark, Databricks, or equivalent data engineering technologies. Information Management in a complex construction or infrastructure project/programme Experience developing enterprise data products ...

outcomes and confidence working directly with software engineering teams.* Experience with relevant complementary technologies such as Docker, Kubernetes, EKS, AKS, Ansible, OpenSearch, Elastic Cloud, Python, AWS Control Tower, Security Hub, GuardDuty, Inspector, GCP, FinOps, cloud cost optimisation or AI-assisted engineering tools.**Work in a Way That Works ...

Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile ...

highly technical engineers. Demonstrated experience delivering enterprise-scale software platforms, APIs, and distributed systems. Strong proficiency in C++, Java (Spring Boot), and/or Python (FastAPI or similar), with the ability to guide engineering teams on architecture, design, and implementation. Experience designing, building, and supporting RESTful APIs and microservices-based ...

early-career Full Stack Engineer to join its Automation & Analytics team in London. This is an excellent opportunity for an engineer with strong Python and SQL skills who wants to build broader expertise across software engineering, cloud, data engineering and AI-enabled applications . Rather than focusing on one part … cloud environments, supporting real production applications and contributing to client projects. Why this role? You’ll gain hands-on exposure to: ☁️ AWS cloud & migration 🐍 Python development 🗄️ SQL, databases & data platforms 🔄 Data pipelines & ETL/ELT 🔌 APIs & backend engineering 🚀 CI/CD & production systems 📊 Analytics & modern data platforms 🤖 AI/ ...

from scratch. Requirements: 7+ years of software engineering experience, a substantial part of it spent building infrastructure or platform tooling rather than operating it Python (required): production-level Python, including packaging, typing, testing, and dependency management. The platform is written in Python and you will be extending it, not scripting … engineers who use the platform as your users, and judge your work by whether theirs gets easier. Responsibilities: Designing, building, and maintaining the Python services, libraries, and command-line tooling that make up the internal infrastructure platform. Working with the engineering teams who consume the platform to understand their workflows ...

proficient applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages- Python Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge ...

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 ...

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 ...

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 ...

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/ ...

understanding of software engineering practices including Git/GitHub, CI/CD, development environments, testing and release management . Strong hands‐on experience with Python and SQL . Experience working with modern cloud‐based data platforms across AWS, Azure and/or GCP . Experience with contemporary data engineering technologies … ability to collaborate effectively with engineers, technical leads and wider stakeholders. Technical Environment Experience with some of the following technologies would be beneficial: Python SQL Cloud platforms – AWS, Azure or GCP Databricks Apache Spark/PySpark Kafka/event-driven architectures Airflow dbt Git/GitHub CI/CD Infrastructure ...

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 ...

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). ...

business problems into delivered analytical outcomes. Desirable Requirements Experience working in a Lloyd's syndicate, managing agent, London Market broker or specialty (re)insurer. Python for data analysis (pandas/notebooks). Hands-on experience applying AI/LLM tooling to analytics work. Experience with Microsoft Fabric, dbt, Azure DevOps ...

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 ...

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 ...

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 ...

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 ...

agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditability Job Requirements Mandatory Foundations 5+ years production experience with both Python and Java in high-performance environments Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, accuracy and performance optimization Expertise in Linux, Github ...

production‐grade data pipelines on cloud platforms (Azure preferred) Strong SQL skills and experience working with analytical data models and data warehouses Proficiency in Python (Scala is a plus) Solid engineering discipline, including CI/CD, testing, Git, and modern DevOps practices for data engineering Experience delivering enterprise‐grade, production ...