626 to 650 of 4,705 Python Jobs in London

major initiative to standardise and modernise build and deployment pipelines across a diverse application estate. The environment consists primarily of C#/.NET and Python services , with different teams having historically adopted their own build conventions, deployment mechanisms and tooling. The objective is to establish a small number of opinionated … Enterprise GitHub Actions Azure DevOps Octopus Deploy Cloud & Infrastructure Microsoft Azure Windows Server Windows VMs IIS On-premise infrastructure Hybrid environments Automation & Scripting PowerShell Python Bash or other scripting languages beneficial Observability Prometheus Grafana Datadog Security & Software Supply Chain SonarQube Snyk or equivalent SAST DAST Dependency/CVE scanning Image ...

experience in designing, developing, and implementing enterprise-scale data solutions. The ideal candidate will possess strong expertise in Snowflake and hands‐on experience with Python, PySpark, AWS, and Airflow for building scalable, high-performance data platforms. The role demands strong technical leadership, problem‐solving capabilities, and the ability to collaborate … transformationsto support large‐scale data processing Build and optimize enterprise data warehouse solutions on Snowflake. Develop data ingestion, transformation, and orchestration workflows using Python, PySpark, and Airflow. Develop and optimize complex SQL queries, stored procedures, views, streams, and tasks in Snowflake. Implement scalable cloud‐based data solutions leveraging AWS services. ...

product services through EventBridge, Kinesis Firehose, S3, and are auto-ingested into Snowflake via Snowpipe; batch and third-party data lands through Snowpark-deployed Python procedures. All infrastructure is defined in Terraform/Terragrunt. Python (Poetry, Pydantic, pytest) is our pipeline language; GitHub Actions runs CI/CD. Datadog gives … partitioning and throughput tuning as event volumes grow across streams like fraud, payments and merchant. Batch & Third-Party Integrations: Design and deploy Snowpark-based Python procedures for file-based and third-party data loads, scheduled and monitored as Snowflake Tasks. Schema Evolution: Work with product engineers to manage upstream schema ...

growing a team of Data Engineers Designing and building scalable data pipelines and cloud based data platforms Developing robust ETL and ELT solutions using Python and SQL Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with AI engineers to productionise … machine learning and AI solutions Exploring how AI can enhance engineering productivity, quality and delivery What you'll bring Strong experience with Python and SQL Expertise building modern data platforms on Azure, AWS or GCP Strong ETL and ELT engineering experience Data modelling and data warehousing expertise CI/ ...

connect enterprise systems, automate processes and deliver practical improvements across the organisation. The role Design, build and maintain backend services, primarily in Go, with Python where appropriate. Develop REST APIs, webhooks and event-driven integrations connecting internal systems and third-party platforms. Contribute across the development lifecycle, from design … clean, well-tested code and experience working within Agile teams. Strong communication skills and a collaborative approach to technical problem-solving. Experience with Python, Docker, Kubernetes, Grafana or OpenTelemetry would be beneficial. This is a hands-on backend development role; deep AI or LLM expertise isn't required. Benefits include ...

title: Principal Software Engineer (Python) Who we’re looking for Public Markets is transforming how technology, data and AI create investment advantage. We are building an AI-native investment platform that combines investor judgement with modern engineering, proprietary data and increasingly agentic capability. We are looking for a talented software … support the many investment desks at Schroders. The majority of our technology stack is cloudnative, on AWS with front ends built in React and Python for all backend services and libraries. We aim to maintain a great engineering culture. Contributing to this culture will involve following good software craftmanship ...

Develop Infrastructure as Code using Terraform and ARM Templates. Build and maintain Azure DevOps pipelines and platform services. Automate deployments and operational processes using Python and PowerShell. Manage Azure networking, security, monitoring, alerting, VNets, and Private Endpoints. Support Azure Logic Apps, Azure Functions, and Azure Data Factory solutions. Collaborate with … Azure Logic Apps, Functions, ADF, VNets, and Private Endpoints. Terraform and ARM Template expertise. Azure DevOps experience including Repos, Boards, Artifacts, Pipelines, and YAML. Python and PowerShell scripting skills. Experience working within Agile and CI/CD environments. Strong understanding of secure, scalable, and resilient infrastructure design. Desirable Skills Microsoft ...

annuity pricing and cashflow models and their methodologies and tools. You’ll work hands-on with cutting-edge technologies such as AWS services, Python, Beacon, Rust, Snowflake, and UI layers, to create robust, high-performing systems and model that deliver real business impact. You’ll collaborate with engineers and stakeholders … business including Annuity Pricing, Valuation, Reinsurance & Structuring, Longevity Experience Analysis and Solvency II Capital. Develop and integrate services using technologies such as AWS, Python, Rust, Beacon, and Snowflake to support analytics and reporting Ensure you follow the defined software development lifecycle (SDLC) Monitor, improve, and support platform performance, proactively identifying ...

data pipelines, working with cloud‐native technologies, and applying robust software engineering practices. Key Responsibilities Design, develop, and optimise scalable, testable data pipelines using Python and Apache Spark. Implement batch workflows and ETL processes adhering to modern engineering standards. Develop Cloud-Based Workflows Orchestrate data workflows using AWS services such … Develop an understanding of financial indices and share domain insights with the team. What You’ll Bring Technical Expertise Strong experience writing clean, maintainable Python code, ideally using type hints, linters, and test frameworks such as pytest. Solid understanding of data engineering fundamentals including batch processing, schema evolution ...

agent infrastructure Manage data models, schemas, and storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker … UiPath, Power Automate). Experience 35 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. ...

hands-on data scientist with deep expertise in NLP and LLMs, strong Python coding skills, and a track record of deploying models to production? Do you thrive in building real-world AI solutions that are used by actual customers? If so, we'd love to talk to you! ROLE SUMMARY … develop innovative products for financial markets and professionals. We're looking for someone who combines deep technical expertise in NLP and LLMs, strong Python engineering skills, and real-world experience shipping and supporting models in production. You should be comfortable owning delivery timelines and ensuring that solutions meet business needs ...

machine learning, statistics, physics, mathematics, or a related technical field – or equivalent industry experience working on advanced, data‐intensive problems. Expert‐level proficiency in Python and SQL, with a track record of writing clean, testable, production‐quality code. Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference … contributing to production data pipelines. Mentored junior data scientists or engineers. Knowledge of, or passion for, the cryptocurrency and blockchain space. Technologies we use Python SQL Databricks DBT PySpark/Spark Terraform AWS Postgres We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience ...

integrate with our API. We always have new and interesting projects that promote international development and sustainability! Technologies The current team works primarily with Python (for data engineering, analysis and back-end development) and JavaScript (for front end development). We are looking for a candidate with strong experience … Python, and knowledge of JavaScript is a definite plus. In terms of web frameworks, past projects have typically used some combination of Flask, Django and Vue. But ultimately we want to use the right tool for the job, and in this role you will have significant opportunities to shape ...

visible impact. What you'll be doing On the backend, you will design, build and maintain scalable services and RESTful/GraphQL APIs using Python with Django or FastAPI, writing clean, well-tested, production-grade code with a focus on reliability and performance. You will design and implement data models … professional experience, typically five or more years, in software engineering with a strong track record of delivering production systems. You have backend proficiency in Python with Django or FastAPI, strong frontend experience with React and TypeScript including component architecture, state management and modern tooling, and a solid understanding of relational ...

Experience running distributed data and analytics systems at scale using tools such as Spark, Kafka, Trino or Airflow Strong Linux skills and proficiency in Python for automation and integration Familiarity with infrastructure as code, using Terraform or Ansible Deep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue … practices and collaboration with Data Engineering teams Familiarity with GPU‐accelerated analytics using Spark with GPUs or RAPIDS Programming experience with Java, Scala, C#, Python or Go Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 35 days’ annual leave ...

industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held … Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions ...

requirements. You will be working primarily within the Microsoft Azure ecosystem, including Azure SQL Server, Azure Data Factory, and Azure DevOps. Required Skills Strong Python experience for data engineering Strong experience working with SQL Server Strong experience working with Azure Data Factory and Azure DevOps Hands-on experience with data … Engineering and working closely with other Data Engineers and Analysts within the business You will be responsible for the design, build, and maintenance of Python-based ETL pipelines Accounting and leading the SQL development Data lake development within Azure Synapse, working to the organisation’s architecture standards Meeting with business ...

grade models using software engineering best practices, including CI/CD pipelines , automated testing and stable deployment processes. Develop analytics libraries and applications in Python , including APIs and microservices , to support global finance use cases. Leverage Docker, Kubernetes and cloud technologies ( GCP preferred ) to ensure models are deployable, observable … bring Essential experience Software Engineering: Designing, developing and deploying analytics libraries and applications with a strong grasp of the software development lifecycle . Python: Extensive experience, including web development frameworks, APIs and microservice architectures . DevOps & CI/CD: Hands-on experience implementing best-practice pipelines for stable production deployments. ...

supportable handoff. This is a hands-on data and software engineering role. You will build in real enterprise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you're looking for a purely declarative configuration role … What You'll Do Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls. ...

technologiesExperience running distributed data and analytics systems at scale using tools such as Spark, Kafka, Trino or AirflowStrong Linux skills and proficiency in Python for automation and integrationFamiliarity with infrastructure as code, using Terraform or AnsibleDeep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAAExperience with … DataOps practices and collaboration with Data Engineering teamsFamiliarity with GPU-accelerated analytics using Spark with GPUs or RAPIDSProgramming experience with Java, Scala, C#, Python or GoWhy join us? Highly competitive compensation plus annual discretionary bonusLunch provided (via Just Eat for Business) and dedicated barista bar35 days' annual leave9% company pension ...

platform capabilities — including workspaces, clusters, policies, jobs, libraries, and integrations — to support production‐grade data workloads Build automation around platform provisioning and operations using Python or Java, reducing manual effort and improving consistency across environments Create and maintain CI/CD pipelines for infrastructure and platform deployments, including Terraform plan … CloudWatch, and load balancing Working experience with Databricks, including platform administration and/or building and supporting production workloads Proficiency in Python (preferred) or Java, with demonstrated ability to build automation, tooling, and platform integrations Experience with Git‐based workflows and CI/CD practices applied to infrastructure and platform ...

enterprise-wide engineering strategy and lead the delivery of complex, business-critical data solutions. Working across multiple teams and technologies, including Databricks, dbt, Azure, Python, and SQL, you will drive the modernisation, simplification, and automation of our data landscape while ensuring solutions are secure, resilient, scalable, and aligned to business … Azure, together with a proven track record of designing and delivering large‐scale, production‐grade data solutions. You will possess strong technical expertise in Python, SQL, software engineering, DevOps, and CI/CD practices, alongside a deep understanding of data architecture, modelling, governance, security, resilience, and risk controls. Experience operating ...

workDeveloping clean, tested, documented and reusable datasets that power analyst-led deep dives, stakeholder self-service and agentic data analysisBuilding tools, such as python packages, and AI-embedded workflows using langgraph that help analysts and stakeholders work faster and more confidentlyApplying software engineering practice to the analytics stack, including … experience: Experience in analytics engineering, data engineering or a similar role, with equal measures of technical ability and business acumenStrong data transformation skills using python and SQL, with hands-on experience of modern code-based transformation and ingestion frameworks, such as dbt core and dltFluent in a modern software engineering ...

discussions Understand customer pain and translate it into high-impact technical solutions tied to business value Build and deliver tailored demos and POCs using Python, Airflow, and related tools Guide customers through modern DataOps strategies - from orchestration to observability and automation Influence product feedback loops, collaborate cross-functionally, and contribute … teams. We’re not looking for a perfect checklist match - but here’s what a strong candidate would possess: Business level French language skills Python fluency, CLI comfort, and experience building with tools like Docker Familiarity with cloud-native data architectures (AWS, GCP, or Azure) Understanding of data engineering workflows ...

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 ...