776 to 800 of 8,117 Python Jobs in England

solutionsYou will work throughout the whole life cycle of data science projects: design, implementation, production and beyond. You will deliver efficient and production-ready Python code. You will collaborate closely with developers to deploy and productionize our data science pipelines and with subject matter experts in biology and chemistry domains … well as proficiency in Python.ResponsibilitiesData collection, data analysis, model development, defining quality metrics, quality assessment of models and regular presentations to stakeholders.Creating production-ready Python packages for each component of data science pipelines (such as pre-processing and model inference) and their deployment together with software engineering teamOptimizing and customizing ...

both general-purpose and cloud-vendor specific tooling in AWS, Azure and GCP Explore the developer skills needed for learners to create applications through Python with connected databases, practising TDD and OOP Tools and technologies learned: Apprentices learn to use Python, Linux, Google Cloud, Microsoft SQL Azure and AWS. ...

solutionsYou will work throughout the whole life cycle of data science projects: design, implementation, production and beyond. You will deliver efficient and production-ready Python code. You will collaborate closely with developers to deploy and productionize our data science pipelines and with subject matter experts in biology and chemistry domains … proficiency in Python. ResponsibilitiesData collection, data analysis, model development, defining quality metrics, quality assessment of models and regular presentations to stakeholders. Creating production-ready Python packages for each component of data science pipelines (such as pre-processing and model inference) and their deployment together with software engineering teamOptimizing and customizing ...

Google Cloud Platform (GCP) using Kubernetes and Infrastructure-as-Code tools. Automation: Champion automation across the entire software development lifecycle (SDLC), utilizing IaC, Python and Bash to reduce toil and improve operational efficiency. Infrastructure-as-Code (IaC): Own and evolve our declarative infrastructure using Terraform for cloud resources and Helm … Deployment: Strong experience with Helm for packaging and deploying applications on Kubernetes. Scripting/Programming: Proficient in at least one major programming language, preferably Python, for automation and tool development. Tooling & Concepts CI/CD: Experience setting up and maintaining modern CI/CD pipelines. Observability: Practical experience implementing ...

infrastructure on Google Cloud Platform (GCP) using Kubernetes and Infrastructure-as-Code tools.Automation: Champion automation across the entire software development lifecycle (SDLC), utilizing IaC, Python and Bash to reduce toil and improve operational efficiency.Infrastructure-as-Code (IaC): Own and evolve our declarative infrastructure using Terraform for cloud resources and Helm … Kubernetes resources.Deployment: Strong experience with Helm for packaging and deploying applications on Kubernetes.Scripting/Programming: Proficient in at least one major programming language, preferably Python, for automation and tool development.Tooling & ConceptsCI/CD: Experience setting up and maintaining modern CI/CD pipelines.Observability: Practical experience implementing and managing monitoring ...

solutions across algorithmic and agentic categories (e.g., AI vendor APIs, open-source tooling such as LlamaIndex, HuggingFace, Claude Code or similar)Manipulating datasets in Python, SQL and ExcelDeep familiarity with GitHub to collaborate with other developers Conversant and proficient across AWS or other cloud platformsExpertise with data visualisation tools (e.g. … clear insights and a talent to create compelling visualisations that bring data to life Detail-oriented and accuracy-focused approachSkillset to manipulate datasets in Python, SQL and Excel and ability to write production-level Python code including automated testingDesire to work with a geographically dispersed team and capability to work ...

Google Cloud Platform (GCP) using Kubernetes and Infrastructure-as-Code tools. Automation: Champion automation across the entire software development lifecycle (SDLC), utilizing IaC, Python and Bash to reduce toil and improve operational efficiency. Infrastructure-as-Code (IaC): Own and evolve our declarative infrastructure using Terraform for cloud resources and Helm … Deployment: Strong experience with Helm for packaging and deploying applications on Kubernetes. Scripting/Programming: Proficient in at least one major programming language, preferably Python, for automation and tool development. Tooling & ConceptsCI/CD: Experience setting up and maintaining modern CI/CD pipelines. Observability: Practical experience implementing and managing ...

directly into customers' Snowflake accounts, with no data movement required.You'll work on a product that lives natively inside Snowflake: a containerized Java + Python runtime, a SQL-first API, and a release pipeline that ships graph analytics to enterprise data platforms. Our customers are data engineers and data scientists … area customers call from their warehouses.Own significant parts of the build, release, and deployment pipeline: Snowflake CLI, Gradle, container images, and the Java/Python runtimes that execute inside Snowpark Container Services.Improve the platform's security posture: caller's rights vs. owner's rights stored procedures, restricted caller's rights ...

maintain automated detection and response systems across G-Research’s hybrid environments (HPC, Azure, AWS).Develop high-quality, well-tested code primarily in Python, following secure engineering best practices.Implement and maintain infrastructure-as-code and CI/CD pipelines (e.g. Jenkins, ArgoCD).Collaborate with CSIRT and other security teams … improve development processes, documentation and engineering standards within the team.Who are we looking for We're looking for experience in the following areas:Strong Python development skills with an understanding of secure software engineering and automation in complex environments.Practical experience building and maintaining production systems in at least one major ...

maintain automated detection and response systems across G-Research's hybrid environments (HPC, Azure, AWS).Develop high-quality, well-tested code primarily in Python, following secure engineering best practices. Implement and maintain infrastructure-as-code and CI/CD pipelines (e.g. Jenkins, ArgoCD).Collaborate with CSIRT and other security teams … development processes, documentation and engineering standards within the team. Who are we looking for? We're looking for experience in the following areas: Strong Python development skills with an understanding of secure software engineering and automation in complex environments. Practical experience building and maintaining production systems in at least ...

solutions across algorithmic and agentic categories (e.g., AI vendor APIs, open-source tooling such as LlamaIndex, HuggingFace, Claude Code or similar)* Manipulating datasets in Python, SQL and Excel* Deep familiarity with GitHub to collaborate with other developers* Conversant and proficient across AWS or other cloud platforms* Expertise with data visualisation … insights and a talent to create compelling visualisations that bring data to life* Detail-oriented and accuracy-focused approach* Skillset to manipulate datasets in Python, SQL and Excel and ability to write production-level Python code including automated testing* Desire to work with a geographically dispersed team and capability ...

running data pipelines, cloud infrastructure, and the deployment tooling underneath all of it. You will own services end to end across a Go and Python codebase, working alongside the AI team who build our analytical and agentic features, the frontend team who build the web and mobile interfaces … design concern rather than an implementation detail: schema, indexing strategy, and access patterns. Establish clear access patterns and boundaries. Production engineering Develop Go and Python-based microservices to support data collection, processing, and querying. Hold services to production standards for latency, cost, and reliability, with the instrumentation in place ...

spare pair of hands. The Job You would sit inside the delivery team on a defence programme and build across the whole stack. Python services and pipelines at one end, the TypeScript front end that operators actually use at the other. The environments you ship into have no internet … being built here will shape how these organisations work for years. What the Work Looks Like Building and maintaining features top to bottom: Python back end services and APIs, React and TypeScript on the front. Getting software into secure, air-gapped and sensitive environments, which means on-site deployment, integration ...

infrastructure as code. Improve reproducibility, traceability and quality across ML engineering workflows. Identify risks, communicate trade-offs and proactively improve tooling and processes. Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases. Experience building, optimising and maintaining ML training and inference pipelines. … training, model serving and compute optimisation. Experience building and maintaining CI pipelines. Experience with cloud environments. Strong knowledge of Linux shells, git and modern Python development tools such as uv, poetry, ruff, black, mypy or ty. Experience with modern development workflows, including pull requests, code review, documentation and ticketing. Strong ...

infrastructure as code. Improve reproducibility, traceability and quality across ML engineering workflows. Identify risks, communicate trade-offs and proactively improve tooling and processes. Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases. Experience building, optimising and maintaining ML training and inference pipelines. … training, model serving and compute optimisation. Experience building and maintaining CI pipelines. Experience with cloud environments. Strong knowledge of Linux shells, git and modern Python development tools such as uv, poetry, ruff, black, mypy or ty. Experience with modern development workflows, including pull requests, code review, documentation and ticketing. Strong ...

related technical discipline.10+ years of experience in software development, with a strong focus on infrastructure automation, systems integration, or platform engineering.Production-quality Python development: you write clean, tested, maintainable Python code as a core part of your daily work. Experience with FastAPI, SQLAlchemy, Pydantic, and async Python is highly valued.API ...

Computer Engineering, Mathematics, or a related technical fieldLinux: understands the OS architecture, fluent user of the command line, can fluently speak either Perl or Python, UNIX scripting, JavaCloud native: skilled in building and running applications that fully leverages cloud computing, using technologies like microservices, containers, and dynamic orchestrationCI/… desirable. Exposure to release management tools is needed.Automation/Tools Development: Design/Develop/maintain automated tools for toil reduction, reporting based on python and other scripting languagePreferred qualifications, capabilities, and skillsAWS experienceKubernetesTerraformJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses ...

into robust, production-grade AI solutions.Design and build AI agents, copilots and automation workflows using appropriate low-code and pro-code platforms.Develop and maintain Python-based services, integrations and orchestration components.Build and support workflow automations, including error handling, monitoring and operational resilience.Integrate enterprise systems, data sources, APIs and external services … learning and experimentation.Experience making architectural and technical decisions independently.Hands-on experience building and deploying AI solutions using modern AI platforms and large language models.Strong Python development skills, including testing, version control and CI/CD practices.Experience working with cloud platforms and cloud-native deployments.Practical understanding of prompt engineering, retrieval-augmented ...

production-grade AI solutions. Design and build AI agents, copilots and automation workflows using appropriate low-code and pro-code platforms. Develop and maintain Python-based services, integrations and orchestration components. Build and support workflow automations, including error handling, monitoring and operational resilience. Integrate enterprise systems, data sources, APIs … Experience making architectural and technical decisions independently. Hands-on experience building and deploying AI solutions using modern AI platforms and large language models. Strong Python development skills, including testing, version control and CI/CD practices. Experience working with cloud platforms and cloud-native deployments. Practical understanding of prompt engineering ...

maintain scalable data pipelines and servicesDevelop batch and ELT/ETL data workflows for ingesting and processing large datasetsWork with technologies such as Python, Java, Spark, SQL, and AirflowApply good software engineering practices, including testing, documentation, and CI/CDContribute to cloud‐based systems (AWS), focusing on reliability, monitoring … meaningful outcomesSupport team learning through code reviews and knowledge sharing. Requirements: Experience working as a data or software engineer on production systemsStrong skills in Python and experience with at least one backend language (such as Java)Understanding of data engineering concepts such as data lakes, batch processing, and distributed systemsExperience ...

this is a great opportunity. Key Responsibilities 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 ...

automation: Jenkins, SonarQube, Artifactory, Bitbucket, Maven, Xcode Build, HelmInstrumentation and monitoring: Loki, Prometheus, Grafana, Mimir, Tempo TracingLanguages and frameworks: Bash, Java or Kotlin, Groovy, Python, ReactJS, SwiftWhere you have knowledge gaps, training and mentoring will be provided.About you:You have an automation-first mindset. You enjoy sharing your knowledge … finding efficient solutions to challenging problems.Minimum 3 years of hands on experience (or 5 years minimum for senior level) with each of the following:Python, shell scriptingLinuxContainerisation (Docker/Podman)CI/CD tools such as Jenkins, Bamboo, GitLabCI, CircleCI, TravisCIExperience applying DevOps practicesExperience in an operational environment with ...

scalability, and reliabilityContribute to the target architecture and long-term platform directionData Engineering & DeliveryDesign and build robust, scalable data pipelines (Snowflake, dbt, Airflow, ADF, Python)Apply strong practices in test-driven development, monitoring, logging, and observabilityOwn more complex technical solutions and problem-solvingSupport production issues and drive root-cause improvements … years at senior or lead level4+ years' experience building and maintaining CI/CD pipelines, deployment workflows, and associated governance processesAdvanced SQL and Python, with hands-on experience building data pipelines and transformations at scaleHands-on experience with a modern cloud data stack, including Snowflake, dbt, Airflow, and Databricks ...

scale 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience ...

delivery pipelines. Docker fluency building, slimming, tagging, and shipping images through a registry. Deep understanding in VPC, Subnets, Routing, Gateways, trust boundaries. Comfortable in Python and Bash to glue systems together and automate operations. Security instincts. Sound secrets management and least‐privilege IAM as a default, not an afterthought. Polyglot … comfort. You can read across Python, TypeScript, and Java well enough to unblock a build or debug a pipeline you don't need to own those apps, just keep them shipping. A bias to ship and automate. You'd rather write the automation once than do the manual step twice. ...