451 to 475 of 3,371 Python Jobs

than reporting alone Strong stakeholder management and communication skills Experience explaining insights to non-technical audiences Understanding of statistics, predictive analytics or modelling techniques Python experience would be highly beneficial Experience working within complex operational environments would be advantageous A pragmatic approach with the ability to work through ambiguity ...

time insights into user flows Contribute to overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications Built modern full‐stack applications (Python/Java/Go + React/ts) Worked with a variety of storage technologies (eg. Postgres, Mongo, Redis, Object) Experience with async ...

across software quality, security and performance Skills & Experience We're looking for experience with several of the following: Strong commercial experience with Java, C#, Python, Go or TypeScript Frontend development using React, Angular, Vue or Svelte Cloud platforms (AWS, Azure or GCP) Infrastructure as Code CI/CD tools including ...

include: Cloud Security & Modern Infrastructure: Proficiency with AWS/Azure cloud security, containerized environments, and SaaS-based security solutions. Programming & Scripting: Advanced skills in Python, PowerShell, KQL, SPL, and SQL for automation, custom integrations, and advanced analytics development. Security Certifications: Professional certifications such as CISSP, GCIH, GCFA, Splunk Certified Architect ...

understand requirements and deliver practical, value-driven data solutions.Drive continuous improvement across data engineering, reporting, and analytics capabilities.Essential RequirementsStrong expertise in SQL and Python (PySpark desirable).Proven experience designing and building cloud-based data platforms from inception.Hands-on experience with Databricks, Spark, modern data lake/lakehouse architectures, and data ...

fast‐paced environments Technical Mastery: Expert‐level proficiency in SQL, BigQuery, and modern data ingestion/transformation patterns Tooling: Experience with Looker, dbt, and Python Data Science: Ability to develop Machine Learning models and the required supporting infrastructure Architecture: Familiarity with modern data architecture patterns and real‐time data infrastructure ...

execute proof of concepts and to implement new technology Essential Competencies Expert knowledge administering Linux/Unix systems Experience in scripting and programming e.g. Python, Bash, Go Experience implementing CI/CD and GitOps workflows using tools such as GitHub Actions, GitLab, ArgoCD or Flux. Working knowledge of platform security ...

members and support capability development What We're Looking For in a Machine Learning Engineer Strong experience developing and deploying Machine Learning models using Python Experience with frameworks such as PyTorch, TensorFlow, Scikit-learn or XGBoost Knowledge of AWS cloud services including SageMaker, Lambda and S3 Experience with MLOps tools ...

deliver practical, value-driven data solutions. Drive continuous improvement across data engineering, reporting, and analytics capabilities. Essential Requirements Strong expertise in SQL and Python (PySpark desirable). Proven experience designing and building cloud-based data platforms from inception. Hands-on experience with Databricks, Spark, modern data lake/lakehouse architectures ...

Gloucester when required. Required experience in the following: Apache Kafka Apache NiFI SQL and NoSQL databases (e.g. MongoDB) ETL processing languages such as Groovy, Python or Java Understand and interpret technical and business stakeholder needs Manage expectations through clear, proactive communication Lead and support challenging conversations with teams and senior ...

plain business value for a non-technical stakeholder Desirable Hands-on with a BI or visualisation tool (Power BI, Tableau, Qlik or Looker) Some Python for data manipulation and scripting Familiarity with cloud platforms (AWS or Azure) and connecting source systems such as CRM and ERP via APIs Exposure ...

growth by scoping proposals, contributing to technical standards, and winning new projects. About You You’ll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value ...

Bring Core Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider ...

datacentre platforms Network virtualisation and micro-segmentation concepts (NSX, platform-integrated) Networking concepts (TCP/IP, DNS, DHCP, firewalls) Automation and scripting (PowerShell, Bash, Python, Ansible, Terraform) Knowledge of cyber security controls and accreditation requirements Experience across the systems engineering lifecycle Integration of compute, storage, and network layers into ...

governed delivery environments.Strong experience with AWS and cloud-native application architectures.Experience with CI/CD pipelines, infrastructure automation, and DevOps best practices.Strong proficiency in Python and/or other modern backend programming languages.Experience building resilient, scalable, secure, and operationally mature enterprise applications.Strong understanding of testing strategies, software quality assurance, secure ...

quantitative discipline. 4–6 years of experience in Data Science, Product Analytics, Marketing Analytics, Growth Analytics, or a similar analytical role. Advanced SQL and Python or R skills. Strong foundation in statistics, experimentation, and causal inference methodologies. Experience designing and analysing A/B tests, controlled experiments, holdouts ...

frontend technologies, such as: React, Angular, or Vue Building highly performant, interactive, data‐driven user interfaces Strong backend engineering experience using technologies such as: Python, Java, Node.js, or similar Scalable service design and data processing pipelines Experience working with data and analytics platforms, including visualization and large‐scale data handling ...

designing and maintaining automated build and deployment pipelines. * Strong understanding of mixed Windows and Linux environments and system administration. * Experience with scripting (e.g. Bash, Python, or similar) for automation. * Understanding of software development lifecycles and DevOps best practices. * Experience with containerisation (e.g. Docker) and/or orchestration concepts. * Strong track ...

Strong experience with AWS and cloud-native application architectures. Experience with CI/CD pipelines, infrastructure automation, and DevOps best practices. Strong proficiency in Python and/or other modern backend programming languages. Experience building resilient, scalable, secure, and operationally mature enterprise applications. Strong understanding of testing strategies, software quality ...

layer design Familiarity with ELT tools (dbt, ADF, Fivetran, Matillion or similar) Comfortable with Git-based workflows and BI deployment pipelines Working knowledge of Python or R for data preparation and automation is a plus Understanding of access control, row-level security and BI governance patterns Delivery & Soft Skills: Stakeholder ...

demands. A passion for clean, performant code and continuous improvement. Bonus Points For Experience with AI tooling (Claude, Co‐Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time‐series databases. Exposure to tick data, real‐time analytics, electronic trading systems. People management or team leadership experience. ...

Strong experience with AWS and cloud-native application architectures. Experience with CI/CD pipelines, infrastructure automation, and DevOps best practices. Strong proficiency in Python and/or other modern backend programming languages. Experience building resilient, scalable, secure, and operationally mature enterprise applications. Strong understanding of testing strategies, software quality ...

Strong communication, leadership, and organisational skills. Desirable Experience Exposure to Microsoft Fabric, Azure Data Services, or similar cloud-based data platforms. Experience with automation, Python, or advanced analytics environments. Knowledge of AI-enabled analytics and modern data practices. Microsoft certifications or equivalent professional qualifications. Why Apply? This is an opportunity ...

both technical and non-technical audiences.Essential Skills & ExperienceDegree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline.Strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch.Proven experience delivering machine learning solutions within commercial, research or government environments.Strong understanding ...

Monitoring and SIEM platforms. Enterprise security service integration. Networking & Automation TCP/IP, DNS, DHCP, and Firewall technologies. Automation and Scripting using: PowerShell Bash Python Ansible Terraform Infrastructure as Code and platform automation. Security & Systems Engineering Cyber security controls and accreditation requirements. Systems engineering life cycle experience. Delivery within highly ...