2,576 to 2,600 of 16,588 Python Jobs in England

with a proven ability to think outside of the box You have the experience and ability to document requirements and specifications. You MUST have the following skills: Production level Python, including building web-based backends and APIs Building and architecting web-apps using suitable frameworks Designing, implementing, and deploying full-stack web applications Quantitative degree from a top university The More ❯

Development teams Supporting personal development and staying updated on trends Suggesting improvements to testing processes and lifecycle Skills, Experience & Qualifications Experience with automated testing tools for web applications, preferably Python with PlayWright Manual testing experience, developing and executing tests based on specifications Ability to produce high-quality test documentation and scripts Knowledge of automated testing frameworks and scripting Debugging and More ❯

Experience with GPT-4, Claude, Gemini, Llama, Falcon, Mistral. Model performance and optimization: Fine-tuning and optimizing LLMs for quality, latency, sustainability, and cost. Programming and NLP tools: Advanced Python, frameworks like PyTorch, TensorFlow, Hugging Face, LangChain. MLOps and deployment: Docker, Kubernetes, Azure ML Studio, MLFlow. Cloud and AI infrastructure: Experience with Azure Cloud for scalable deployment. Databases and data More ❯

years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space models, extreme-value theory). Hands-on Python for numerical analysis (numpy, pandas, xarray, SciPy/PyMC/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real-time data More ❯

years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space models, extreme-value theory). Hands-on Python for numerical analysis (numpy, pandas, xarray, SciPy/PyMC/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real-time data More ❯

years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space models, extreme-value theory). Hands-on Python for numerical analysis (numpy, pandas, xarray, SciPy/PyMC/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real-time data More ❯

with a focus on Azure. Strong knowledge of Azure data services such as Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, and Azure Data Factory. Proficiency in SQL, Python, or other relevant programming languages. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect More ❯

cloud environments. Deep understanding of Jira and Confluence, including advanced configuration, customization, and administration. Proficiency with Atlassian Cloud and Data Center editions. Experience with scripting and automation tools (e.g., Python, Bash, PowerShell). Knowledge of database management and data migration tools. Project Management and Collaboration: Demonstrated ability to manage complex projects, including resource planning and stakeholder coordination. Excellent problem-solving More ❯

knowledge of Microsoft Azure services such as Azure App Services, Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Networking, and Azure Active Directory. Proficiency in scripting languages (e.g., PowerShell, Python, or Bash) for automation and troubleshooting. Strong understanding of cloud-native architectures and modern web technologies (e.g., microservices, containers, serverless computing). Experience with monitoring and alerting tools such as More ❯

3NF, Vault 2.0). Experience with analytical and real-time/streaming data solutions. Hands-on experience with data modeling tools (e.g., Erwin, Lucidchart, SAP PowerDesigner). Knowledge of Python and SQL (e.g., Snowflake or similar warehousing technology, real-time systems). Experience with AWS services such as Lambda, SNS, S3, EKS, API Gateway. Knowledge of data warehouse design, ETL More ❯

tools like Terraform, or Cloudless. Strong knowledge of cloud platforms ( AWS , Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in it for you At Accenture in addition to a competitive basic salary, you will alsohave an extensive More ❯

knowledge of Microsoft Azure services such as Azure App Services, Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Networking, and Azure Active Directory. Proficiency in scripting languages (e.g., PowerShell, Python, or Bash) for automation and troubleshooting. Strong understanding of cloud-native architectures and modern web technologies (e.g., microservices, containers, serverless computing). Experience with monitoring and alerting tools such as More ❯

apply now! Your future responsibilities Design and develop scalable back-end services and APIs using C# and .NET 8 Implement data extraction and transformation logic within .NET environments Utilize Python for data processing, automation, and application logic as needed Enhance and maintain the Market Data API and liaise with business teams for new requirements Build processes and workflows supporting data More ❯

releases, rollback strategies). Influence reliability culture and DevOps maturity across teams. Technical Environment The ideal candidate brings hands-on experience in many of the following areas: Languages & Scripting: Python, C#, Bash, PowerShell OS & Systems: Windows and Linux internals, Nginx, IIS Ideal Candidate Profile Extensive experience (typically 5+ years) in Site Reliability Engineering, DevOps, or Production Engineering roles. A solid More ❯

record of translating strategy into executable engineering workstreams and delivering results at pace. Demonstrable experience with AI services and platforms, and a passion for intelligent automation. Excellent scripting skills (Python, PowerShell, Azure CLI) and experience with Infrastructure-as-Code (e.g., Terraform, ARM templates). Experience with SQL databases and multi-tier application stacks. Excellent communication and documentation skills, able to More ❯

activities adhere to change governance and SDLC standards Qualifications - Who we're looking for: Proven experience in designing and managing AWS-based infrastructure Proficiency in scripting languages such as Python and Bash Strong experience with Docker, ECS, and Terraform Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins) and version control using GitHub Experience with Windows Server, PowerShell, and More ❯

experience in BI, reporting, or data analytics, with expertise in Power BI, QlikView, or Qlik Sense. Strong technical skills in T-SQL, relational databases, DAX, Power Query, and Excel (Python/R is a plus). Have a working knowledge of Data Infrastructure (e.g. Warehouse, BI, Analytics, Big-Data). Be proficient in developing, architecting, and supporting BI platforms. Engage More ❯

driven recommendations on their domain-specific challenges Drive the adoption of best practices in data science across the organisation, lead other data science engineers MINIMUM QUALIFICATIONS Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.) Experience with More ❯

and experience: Proven experience designing scalable data architectures in cloud and hybrid environments. Expertise in data modelling, SQL, and platforms like Snowflake, dbt, Power BI, and Databricks. Fluency in Python and knowledge of multiple cloud providers (AWS, Azure, GCP). Understanding of security principles including role-based access control. Experience with legacy-to-cloud data migration and API integration testing More ❯

networking, security, authentication, and authorization (OAuth, JWT, OpenID Connect, IAM roles, etc.). Familiarity with big data technologies, streaming platforms like Kinesis, and data lake architectures. Proficiency in C#, Python, or Node.js for backend development and scripting. Strong problem-solving, analytical, and communication skills. AWS certification (e.g., AWS Certified Solutions Architect – Professional) is a plus. Experience with CI/CD More ❯

technical discussions, influencing smart decisions around configuration vs. custom development. Implement CI/CD pipelines, automation, and deployment processes. Basic Qualifications Proficiency in at least one modern programming language (Python, Ruby, Golang, Java, C++, C#, Rust). Strong familiarity with Linux/Unix environments. Experience working with CI/CD pipelines and automated deployment processes. 3+ years of professional software More ❯

inspiring teams and communicating complex ideas clearly. Technical Leadership & Strategy: Deep expertise in causal inference, uplift modeling, media mix modeling, LLM applications, and machine learning frameworks. Proficiency in SQL, Python, R; experience delivering scalable analytical solutions. Business Impact & Governance: Experience in data governance, privacy frameworks, and quality monitoring. Proven ability to implement enterprise BI tools like Power BI. Cross-Functional More ❯

Helm, or Pulumi. Experience of pipeline build/deploy tools such as Azure DevOps, TFS, or Jenkins. In-depth automation and scripting using tools such as PowerShell, AZ CLI, Python, Bash, Ruby, or Groovy. Detailed knowledge of configuration management technologies like DSC, Puppet, Chef, SaltStack, or Ansible. Thorough knowledge of logging and monitoring tools such as Prometheus, Grafana, Azure Monitor More ❯

technologies such as Docker, Podman and Openshift Experience of security fundamentals with relation to a k8s platform and DevSecOps a bonus Expertise in a major programming language such as Python or Java, and associated tooling (Git, Maven, IDEs, Jenkins, Bitbucket etc) Experience using Container Image Scanning platforms and tooling Expertise with DevOps, CI/CD and agile methodology Education Bachelor More ❯

and connected hardware. Strong understanding of networking protocols (TCP/IP, MQTT, HTTP), data communication, and edge/cloud data infrastructure. Proficiency in multiple programming/scripting languages (e.g., Python, JavaScript, C++, Node.js). Experience designing and managing cloud platforms (AWS, Azure, GCP), databases (SQL/NoSQL), and real-time analytics. Demonstrated experience working with or deploying AI/ML More ❯