701 to 725 of 4,950 Python Jobs in London

reduce technology sprawl while improving security, supportability and delivery speed. 4. Data Engineering and Integration Design and build reliable ingestion and transformation pipelines using Python, PySpark, SQL and Delta Lake. Implement full and incremental ingestion, CDC where appropriate, schema evolution, reconciliation, error handling and data quality controls. Design reusable integration … troubleshooting Databricks Serverless and compute/workload optimisation Azure identity, networking, security, secrets, monitoring and private connectivity Databricks SQL, Delta Lake and performance optimisation Python, PySpark and SQL Jobs/workflows, incremental processing, CDC and data quality REST/API and external data integration patterns FinOps, cost attribution, tagging, budgets ...

analyst leads to translate unstructured questions into clear data requirements, analytical approaches, pipeline outcomes, and acceptance criteria.Perform sourcing, extraction, joining, transformation, and reconciliation using Python, SQL, and AWS-based tooling to support insights and downstream modelling.Governance, compliance and ethics: Ensure compliant use of patient/study , clinical data aligned with … needed).Standardization mindset: Ability to propose consistent definitions and mappings across heterogeneous datasets, balancing practicality, traceability, and reuse.Python and SQL: Strong capability using Python and SQL for profiling, reconciliation, validation, and data engineeringAWS analytics foundations: Experience working with AWS-based data environments (e.g., S3 and common query/processing servicesClear ...

domains for when you need support.What will you be working on Data Engineering Build and Optimise Pipelines: Develop, optimise, and maintain data pipelines using Python, REST APIs, DBT, and Airflow to ensure seamless data flow for compliance and risk management.Understanding Control Requirements & Continuous Monitoring: Partner closely with control owners across … relevance.Opportunity Identification Insights: Utilise data to identify opportunities for enhancing compliance processes, mitigating risks, and driving higher efficiency throughout the organisation.QualificationsTechnical Expectations:Proficient in Python, with experience in automation and building data pipelines.Strong expertise in working with tools like DBT and Airflow for ETL processes.Skilled in using REST APIs ...

that feed Zego's understanding of driving quality, context, and risk.Take ideas from hypothesis to production: prototyping in notebooks, then writing the production-grade Python and SQL that scales.Prioritise simple, robust solutions, rule-based when that's enough, ML when it's warranted.Lead experiments, validate impact with data, and automate … signal, not just its numbers.Proven track record delivering data science or data engineering projects into production. You write production-grade code, not just notebooks.Strong Python and SQL (we use Snowflake). Comfortable with the scientific Python stack: Polars, Pandas, NumPy, SciPy, and scikit-learn. Experience developing and evaluating ML models ...

proven track record. 3+ years of experience in software development. Strong programming experience, with working knowledge of at least one of: C/C++, Python, JavaScript/TypeScript. Knowledge and experience with DevOps and software used in development pipelines (e.g. Github, Jenkins). Working knowledge of build systems, package managers … customizing static analysis security testing tools such as CodeQL and Semgrep. Broad familiarity with programming language ecosystems and frameworks, particularly C++, JavaScript/TypeScript, Python, Java as well as well as modern systems and infrastructure languages such as Go and Rust Experience using LLMs or AI-assisted tools for security ...

feed Zego's understanding of driving quality, context, and risk. Take ideas from hypothesis to production: prototyping in notebooks, then writing the production-grade Python and SQL that scales. Prioritise simple, robust solutions, rule-based when that's enough, ML when it's warranted. Lead experiments, validate impact with data … just its numbers. Proven track record delivering data science or data engineering projects into production. You write production-grade code, not just notebooks. Strong Python and SQL (we use Snowflake). Comfortable with the scientific Python stack: Polars, Pandas, NumPy, SciPy, and scikit-learn. Experience developing and evaluating ML models ...

customer-facing or field roles. Proven success building and deploying AI/ML or data-intensive applications in production. Deep full-stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD). Expertise in building data pipelines and integrating with enterprise systems … REST, Python, SQL, GraphQL, Webhooks etc). Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI) Knowledge of SLM Finetuning and Distillation is big advantage. Experience and knowledge of Agentic development platforms ...

team developing next generation AI platforms, cloud native infrastructure, and intelligent agent based applications that support cutting edge scientific research. Key Skills & Experience Strong Python development experience FastAPI and backend API development Cloud platforms (GCP and/or Azure) Kubernetes, Docker, and cloud-native architectures CI/CD, Infrastructure ...

micro-service architectures and CAP theorem.A good understanding of functional paradigms and type theory.Confident JVM knowledge.Modern programming languages knowledge in our primary languages (Java, Python, Clojure).Experience with Airflow or other Python-based workflow orchestration tools.Proficiency in domain-driven design and domain modeling.Exposure to Kubernetes, Docker, Linux, Kafka, RabbitMQ ...

sprint planning. We make use of kanban and sprint cycles to plan and stay on top of output. Our target stack relies heavily on Python, containerisation, infrastructure as code, CI/CD and the Azure cloud. We work across the full spectrum of data sourcing and ETL to front … specialists. Has integrity, initiative, and is not afraid to express an opinion and offer new solutions. Technology skills required for the role Python – the central language in our stack. Experience working with multiple databases, relational and document‐based. Comfort working with large data sets, 100+ terabytes. Experience designing, developing ...

with data platforms (Snowflake and/or Databricks), including CI/CD integration, environment provisioning, and access‐control models Strong scripting/programming skills (Python, PowerShell, Bash) and automation mindset Good understanding of security, networking, RBAC, and Zero Trust principles in cloud and DevOps environments Experience operating in regulated, enterprise … Developer Platform (IDP) Familiarity with service mesh, API gateways, and platform observability tools Knowledge of FinOps, cost optimisation, and cloud governance Solid programming skills (Python, Go, or Java) Strong understanding of networking, security, and system architecture Exposure to AI‐enabled development (e.g. GitHub Copilot, automation workflows) Relevant cloud or Kubernetes ...

members to understand business requirements and drive the solution design and development of our digital products. You will have strong experience on React with Python and Large Language Models (LLMs) to support and enhance our client’s AI-driven initiatives. Beyond technical expertise, you will follow software engineering best practices … development with significant experience working with ReactJS. Any further experience with Next.js/Angular/Vue.js is beneficial You will have some exposure to Python, contributing to the design, build, and support of scalable and secure full-stack web applications using FastAPI. Experience in Unit Testing with Jest Experience with ...

time on manual operations. Run our blockchain nodes across the networks we support, and keep them healthy and available. Write and maintain services in Python for infrastructure management and wallet operations. Own the integrations with third-party custodians. Build out Kubernetes and Docker deployments as we containerize more … Hands-on experience with Ansible, Terraform, or similar configuration management and Infrastructure as Code tooling. Experience running containerized workloads on Kubernetes and Docker. Solid Python and/or Go skills, with real production experience. A strong security focus - you've worked on systems where key management and access control ...

spends less time on manual operations.Run our blockchain nodes across the networks we support, and keep them healthy and available.Write and maintain services in Python for infrastructure management and wallet operations.Own the integrations with third-party custodians.Build out Kubernetes and Docker deployments as we containerize more of the custody stack.Set … nodes in production.Hands-on experience with Ansible, Terraform, or similar configuration management and Infrastructure as Code tooling.Experience running containerized workloads on Kubernetes and Docker.Solid Python and/or Go skills, with real production experience.A strong security focus — you've worked on systems where key management and access control are critical.Experience ...

Stan 00-056 safety boundaries. Full-Stack Application Development: Design and build resilient, secure web applications, microservices, and APIs (TypeScript, Node.js, React, or Python) for cloud and hybrid MoD landing zones. Edge & Tactical Systems Integration: Develop native Android background services (Kotlin on ART), IPC/AIDL interfaces, and Cursor … Secure by Design (SbD) frameworks. Full-Stack Engineering (Web & APIs) 4+ years of production experience with modern Web stacks (TypeScript, React, Node.js, or Python/FastAPI). Strong API design experience (REST, GraphQL, gRPC, WebSocket) and relational/non-relational database design (PostgreSQL, SQLite). Systems & Mobile Architecture (Android ...

will work closely with architects, senior engineers, and analysts to deliver scalable and reliable migration solutions, using technologies such as AWS Glue, Apache Iceberg, Python/PySpark, SQL, and YAML configurations. You should be comfortable working in a collaborative, delivery-focused environment and have a strong interest in data migration … data pipelines on AWS services, including AWS Glue and Apache IcebergSupport validation of data pipeline migrations to AWS Data Lakehouse architecturesTest pipelines using:Python/PySpark transformationsSQL-based validation logicYAML-driven configurationsExecute and validate:Initial bulk data loadsIncremental/delta data processingWrite and run SQL queries to validate:Data completenessData ...

engineering works at Liberis!What you'll get to do in the role:Own and evolve the service template library for .NET, Node.js, and Python — covering project scaffolding, dependency management, containerisation, local dev setup, and production configuration. Templates are generated, not forked, so keeping them current and opinionated matters.Build … interview with the wider Liberis team (1 hour)What we think you'll need:Proficient in at least one of .NET (C#), Node.js and Python — able to build, configure, and template production-grade services in each.Strong GCP experience (Azure experience is nice to have)Hands-on experience designing reusable ...

requirements and translate them into solutions.Key responsibilities:Building and maintaining data pipelines and services under the guidance of senior engineers.Working with technologies such as Python, SQL, Spark, and Airflow to process large-scale data.Using AI-assisted development tools such as Claude Code, Copilot, or Codex as part of your workflow.Contributing … deliver business value. Requirements: 2–3 years of commercial experience as a data or software engineer, including some exposure to production systems.Proficiency in Python, SQL, and Spark.Basic understanding of data engineering concepts including batch processing and relational databases.Some hands-on experience with data pipeline tools; exposure to Spark or Airflow ...

experience applying machine learning and data mining techniques to solve real-world problems with substantial data setsProgramming experience (focus on machine learning): SQL and Python’s Data Science stack; good knowledge of at least one big data framework (e.g., PySpark, Hive, Hadoop) is a plus. R, SPSS … technologies into production or applied business environments is a plusWhile we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such ...

accurate, timely, repeatable, and scalable. Develop automated data transformation routines, dashboards, and reporting feeds using tools such as SQL, R, Power BI, or Python (if applicable). Build solutions for how Exposure Management data is presented, consumed, and integrated with other functions (e.g., pricing tools, underwriting systems, capital modelling). … including database development and SSIS package development and support essential Experience of at least one other coding/programming experience essential (e.g. VBA, R, Python, Power BI). Experience in process automation, data manipulation, and report production essential. Understanding of catastrophe modelling, exposure data, or Lloyd’s reporting frameworks desirable ...

backend and edge/IoT domains. Implementing robust CI/CD processes and containerisation strategies using Docker and Kubernetes. Shipping production-ready code in Python and compiled languages such as Rust, C++, or Go. Collaborating with cross-functional teams to integrate advanced AI and Machine Learning capabilities into software architectures. … looking for: You have extensive experience in application development and a deep understanding of modern system architecture and design patterns. You are proficient in Python and at least one compiled language, with a proven track record of shipping code to paying customers. You bring a leadership mindset, with the ability ...

person to work on technologies chosen intentionally, favouring proven tools that reduce cognitive load and maximise team velocity. Our core ecosystem revolves around:Modern Python for backend services and data processing.Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either … Experience: A proven track record of building robust scalable data pipelines using modern cloud providers (Ideally GCP).Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts.Serverless & Event-Driven Expertise: Experience with, or strong interest in, decomposing workloads into ...

applying machine learning and data mining techniques to real-world problems with substantial data setsProgramming experience (focus on machine learning): R and/or Python, with SPSS, SAS, or similar tools considered nice-to-haveAbility to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions … passion for solving complex data challengesWhile we advocate using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such ...

fundamentals in system design, data structures, and clean code practices.Proven experience designing and shipping production-grade AI or ML-enabled software systems.Strong proficiency in Python, including building and shipping production backend services.Hands-on experience building applications with LLMs such as Azure OpenAI, OpenAI, Anthropic, or similar.Experience with FastAPI or comparable … Python web frameworks.Production experience with Docker and Kubernetes, including deployment and management on AKS.Strong hands-on experience with Azure, including Azure OpenAI, Azure AI Search, AKS, and Databricks.Proven production experience with LangGraph and LangChain, including multi-step agentic workflows and tool-calling agents.Hands-on experience with Azure AI Search ...

detection, and interruption handling in real-time systems Integrate agents directly into customer codebases via REST/GraphQL/WebSocket APIs and custom SDKs (Python, TypeScript) Act as trusted technical advisor to customers, shaping AI strategy and guiding roadmap decisions from concept to production Data Strategy & MLOps Infrastructure Design data … with LangChain, LlamaIndex, or similar orchestration frameworks Voice AI platform experience built real-time conversational systems with production STT/TTS integration Proficiency in Python (production-grade, async programming, type hints) and JavaScript/TypeScript (full-stack development) RAG implementation experience built retrieval-augmented generation systems with vector databases MLOps ...