476 to 500 of 4,823 Python Jobs in England

solve real-world problems and generate actionable insights. Experience in prototyping and developing data science and data engineering solutions in languages such as Python Ability to work independently while collaborating effectively within project teams Ability to conceptualise data architecture and design around requirements of multiple stakeholders. Experience with AI-assisted ...

solve real-world problems and generate actionable insights. Experience in prototyping and developing data science and data engineering solutions in languages such as Python Ability to work independently while collaborating effectively within project teams Ability to conceptualise data architecture and design around requirements of multiple stakeholders. Experience with AI-assisted ...

performance with pragmatic solutions. Understand how problem-solving supports overall team and business priorities. Skills Knowledge and Expertise Essential Hands-on experience in Python and web-development framework(e.g., Django) and JavaScript/TypeScript, ideally in cloud environments such as AWS, Azure or GCP. Strong understanding of core software engineering ...

company product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least ...

equivalent qualifications 4+ years of experience designing and building scalable data solutions, ETL pipelines, data workflows, and monitoring frameworks. Strong hands‐on experience with Python or similar programming/scripting languages. Experience with querying structured, semi‐structured, and unstructured datasets. Experience with workflow orchestration, observability, monitoring, alerting, and scalable architecture ...

working with scientific, biological or chemical datasetsExperience applying data analytics, machine learning or statistical techniques to real-world problemsDesirableExperience of using programming languages (e.g. Python, R) and associated ML frameworks, e.g. scikit-learn, TensorFlow, PyTorchUnderstanding of data structures, algorithms, and software design principlesIf you're excited about this role ...

/ML training or inference workloads strongly preferred. Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation. Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale. Experience designing and operating observability stacks (e.g. Datadog ...

Automation**: 2+ years with IaC tools (Terraform or Ansible) and hands-on experience with orchestration and automation platforms (AWX, Ansible Tower, Terragrunt), scripting in Python, Bash, or Go* **DevOps & DevSecOps**: 2+ years designing and implementing CI/CD pipelines using Jenkins, GitLab, GitHub Actions, or equivalent, with strong knowledge ...

5+ years of professional software development experience with a proven track record of building high-performance, client-facing web applications. Backend Stack: Proficient with Python, FastAPI, PostgreSQL, Redis , and designing secure REST APIs . Frontend Stack: Proficient with TypeScript, React, Jest , and Storybook . Experience with Micro Frontends (MFEs ...

observability tooling (e.g. logging, metrics, tracing) and building reliable systems. Knowledge of secure‐by‐design and zero‐trust principles. Strong software engineering fundamentals (e.g. Python, Go, or similar) to build platform tooling and automation. Experience working in cross‐functional teams and contributing to shared technical outcomes. Behaviours that matter: Mission ...

customer‐facing or embedded roles System architecture: Proven ability to design and implement AI‐native software in production environments Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability ...

quasi-experimental approaches. Experience applying data science, machine learning and statistical modelling techniques to analyse complex datasets and generate actionable insights. Strong proficiency in Python and SQL for analytical workflows. Experience developing robust analytical solutions using sound statistical principles and software engineering best practices. Strong stakeholder management and communication skills ...

Agile development methodologies & understanding of DevOps Integration. Relational database skills (SQL). Experience in the following technologies is helpful, but not essential: Scala, Python, C++, Perl, Shell, C#. Ideally, experience developing on Linux. Excellent problem solving, communication and team-working skills. #LI-FT1 WHAT YOU CAN EXPECT FROM MORGAN STANLEY ...

results clearly to both technical and non-technical senior stakeholders. Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling (e.g., Tableau), and native cloud services like AWS or GCP. What will set you apart Orchestration Mastery: Deep experience with data orchestration tooling ...

security configurations within the Kubernetes ecosystem. Automation and Programming Skills: Must have: Proficiency in one or more modern software languages (e.g., Typescript, Go, Python, Rust) and associated frameworks used for building high‐performance, resilient production systems. Must have: Proven experience developing robust, maintainable, and well‐tested automation scripts, services ...

with cloud data services and modern data stacks. Relevant technologies may include Snowflake, Azure/AWS/GCP data services, Kafka, orchestration tooling, SQL, Python, dbt or equivalent transformation frameworks. Strong knowledge of data modelling, data quality, metadata/catalogue, reconciliation, lineage, role‐based access, privacy, GDPR/PII handling ...

including quasi‐experimental approaches. Experience applying advanced data science, machine learning and statistical modelling techniques to solve complex business problems. Expert‐level proficiency in Python and SQL for large‐scale analytical workflows. Experience developing reusable analytical methodologies, frameworks or libraries that improve measurement quality and consistency across teams. Demonstrated ability ...

orchestration tools like Docker, Kubernetes and Helm. Excellent programming, debugging, and optimization skills in general purpose programming languages including but not limited to: Go, Python, C/C++, Java, or Rust. Solid understanding of DevOps practices, CI/CD pipelines and version control e.g. Git. Interest and ability to learn ...

knowledge of cloud platforms: Microsoft 365, Azure, AWS, and Google Cloud Platform (GCP). Hands-on experience with programming languages such as Java, .NET, Python, or equivalent. Microservices architecture and containerization. RESTful API design and management. Agile and DevOps delivery methodologies. Expertise in data architecture and design (conceptual, logical ...

developing Kubernetes Operators Production experience with OSS API Gateways and Ingress controllers Production Software Engineering using a high level language like Go, Java, JavaScript, Python Distributed Software Architecture exposure in high volume production scenarios Working with Data Mesh, BigData technologies such as EMR, Spark, Databricks Designing, tracking and testing ...

charters, ideally enhanced with data-driven or AI-supported techniques OOP & Programming: Solid understanding of OOP (Classes, Methods, Inheritance) with proficiency in Java or Python Automation Tools: Hands-on experience with frameworks like Playwright, Selenium, or Cypress AI-Augmented Testing Exposure: Working knowledge or hands-on exposure to AI-based ...

emerging AI and cloud tech. What we are looking for 5+ years of experience in production-grade software development and data integration, featuring expert Python, SQL, and object-oriented skills (Java/Go) for designing reusable architectures and refactoring complex codebases. Deep knowledge of distributed systems, data architecture, CI/ ...

visualisation skills, with the ability to communicate complex evidence clearly to technical and non-technical audiences Desirable Experience using programming or analytical languages (e.g. Python or R) to support exploratory, strategic or statistical analysis Awareness of the practical application and limitations of artificial intelligence and advanced analytics, including in healthcare ...

resilient cloud-based architectures. Hands-on experience with Azure services such as Functions, Logic Apps, Service Bus and API Management. Working knowledge of C#, Python, particularly for automation, integration or AI-enabled solutions. A key understanding of Databricks and modern data architectures. Experience integrating Power Platform solutions through APIs ...

systems and event‐driven architecture: messaging, async workflows, resilience patterns, idempotency and at‐scale system behaviour Backend and platform engineering: advanced server‐side development (Python recommended; additional languages a plus), service design and performance optimisation Infrastructure as Code and CI/CD: automated build, test and deployment pipelines (e.g. Terraform ...