151 to 175 of 9,863 Python Jobs

surgery on a global scale, this could be the place for you. Responsibilities Contribute to the design, development and maintenance of the SaaS tool (Python codebase) for project, data and annotations management used by internal stakeholder. Work with data and platform engineers to develop efficient processes for accessing and handling … relevant academic field plus 2-3 years professional experience. Experience delivering and maintaining production quality code in an industry setting. Strong experience with Python and best practices for delivering high-quality code. Experience using version control (git) to contribute to production codebases. Awareness of common DevOps tools and practices ...

Participating in regular show and tells, promoting your work to both your department and the wider company. Preferred Skills Proficiency in JavaScript/TypeScript, Python, and/or Go, with the ability to rapidly learn new languages; Experience with modern frameworks across the stack (FastAPI, Gin, Express, etc.); Production experience ...

build with security in mind Make your mark on ambitious projects What You Bring to the Team The XFI team’s tech stack includes: Python 3.10 or Other Object‐Oriented Programming languages are a bonus C# is applicable to one of our key services AWS Services such ...

Full time | Test Triangle | United Kingdom Posted On 28/07/2026 Job Information Work Experience 5+ years Technology As per Market Standards City Sheffield State/Province Derbyshire S21 Job Description Experience: 10+ ...

Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Degree or equivalent experience … relevant discipline. Proficiency in SQL and at least one of Python, R, DAX or Power Query. Strong analytical and problem‐solving skills with messy or incomplete data. Ability to translate business requirements into clear data or technical outputs. Strong written and verbal communication, including explaining technical content to non‐technical ...

Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Proficiency … least one of Python, R, DAX or Power Query. Strong analytical and problem‐solving skills with messy or incomplete data. Ability to translate business requirements into clear data or technical outputs. Strong written and verbal communication, including explaining technical content to non‐technical audiences. Interest in client‐facing consulting. Sector ...

Familiarity with MLOps, ML pipelines, and advanced AI concepts Ability to translate business needs into technical solutions and troubleshoot complex issues Proficiency in SQL, Python, PySpark Knowledge and experience with Databricks and/or Snowflake Strong knowledge of Azure; experience with AWS or GCP is a plus Excellent verbal … skills in Dutch and English Agile team experience (Scrum, DevOps) Willingness to travel and work at client locations communication team collaboration problem-solving SQL Python PySpark ...

Title : Data Engineer - ( Python, PySpark, and SQL)Location : NorthamptonAbout the Job you are considering:We are seeking an experienced Data Engineer with strong expertise in Python, PySpark, and SQL to design, develop, and optimize large-scale data processing solutions. The ideal candidate will have hands-on experience building data pipelines … work at home 100% of the time.Your Role:Design, develop, and maintain scalable data pipelines and ETL processes.Develop and optimize data processing solutions using Python and PySpark.Write complex and high-performing SQL queries for data extraction, transformation, and analysis.Work with large datasets and distributed computing frameworks to support data engineering ...

McKinsey ecosystem Belangrijkste vereisten Degree in Computer Science/Engineering or equivalent experience Experience in a data-focused role (internships, academic projects) Proficiency in Python and SQL, clean and well-documented code Familiarity with data platforms (Databricks, Snowflake, BigQuery, PSQL) and cloud providers (AWS, Azure, GCP) Exposure to data engineering … agents (Cursor, Claude Code, Codex) is a plus Strong communication (verbal and written) Excellent time management in autonomous settings Curiosity and rapid learning mindset Python SQL Databricks ...

reconcile images against clinical/tabular and other biomarker data, and build quality and de-identification checks to replace manual review. Write production-grade Python: tested, reviewed, instrumented and documented well enough that the team can run it long-term. Work with ML engineers and software engineers to shape datasets … missing, duplicate or mismatched studies, applying classifiers for burned-in pixel PHI, and building agent-driven triage of failed loads. Essential qualifications Strong Python for data engineering, including data transformation, job monitoring and schema management. Experience handling large binary/blob datasets in object storage at scale (Google Cloud Storage ...

Engineering teams to build pipelines that are easier to test, release, monitor and maintain. The role is hands‐on, with a focus on Python, SQL, automation, good engineering practice and controlled delivery in a regulated environment. You’ll own defined MLOps components and pipelines, while working with senior colleagues … wider standards, architecture and governance. Responsibilities Build, improve and maintain machine learning pipelines used within Market Pricing. Productionise Python‐based models, notebooks and data science workflows. Help move models from development into repeatable, tested and documented production processes. Improve how model workflows are tested, released, monitored and maintained. Investigate issues ...

What you’ll be doing Developing and maintaining Power BI reports, dashboards and semantic models Designing and improving ETL and ELT pipelines using SQL, Python and, where appropriate, PySpark or Spark Working with Microsoft Fabric, Azure data services, data warehouses, lakehouses and data lakes Translating business requirements into practical … technical stakeholders It would be beneficial if you also have Knowledge of data modelling practices, including star and snowflake schemas and normalisation Experience with Python, PySpark or Spark, Azure, DevOps or Microsoft Dynamics 365 Finance and Operations An understanding of business operations A full driving licence, as travel to Group ...

quickly to changing requirements. Key Responsibilities Develop and maintain infrastructure for deploying ML models in both real‐time and batch environments. Build and maintain Python APIs (Flask/FastAPI) to serve ML models. Collaborate with cross discipline engineers to integrate ML services into user‐facing applications. Work with platform engineers … with data scientists, data engineers and other technical teams in order to help support maturation of analytics practice within the organization. Writing high quality python code using industry best practice for model training and deployment. Person Specification To succeed in this role, you’ll typically have: Bachelor's/Master ...

profiling, documentation, and testing Implement structured logging, alerting, SLA tracking, and access control Key Technologies Cloud: Azure, AWS, or GCP | SQL (T-SQL, PostgreSQL), Python, versioned metadata frameworks DevOps: Git, CI/CD (Azure DevOps, GitHub Actions) | Monitoring: Custom logging, alerts, structured failure handling Security: Role-based schema access … capacity Proven line management experience — not just technical leadership Track record of building or improving engineering processes and team structures Expertise in SQL pipelines, Python orchestration, dimensional modelling, and star/snowflake schemas Experience with cloud data infrastructure, CI/CD automation, and metadata frameworks Comfortable working across product ...

architecture and leadership roles is encouraged. While prior experience with integration tools like Logic Apps is advantageous, it is not required. A background in Python, Scala, or SQL development is preferred. This is a customer-facing role, so strong communication skills, problem-solving abilities, and a proactive approach are essential. … Candidate: Experience in data engineering with Microsoft Azure. Hands-on experience with Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage. Strong Python, Scala, or SQL development background. Understanding of data modelling and analytics solutions. Ability to work in a customer-facing role, engaging effectively with clients and stakeholders. ...

Infrastructure as Code such as Terraform or CloudFormation. Automated deployments across environments. Monitoring and logging. Release and configuration management. Production support and incident troubleshooting. Python or another scripting language. AWS certification. Terraform. Apache Airflow/MWAA. Databricks or Spark. Kafka/Kinesis. dbt. Experience working in Agile/Scrum environments. … . Strong Power BI development and production support experience. Experience working with enterprise data platforms and cloud environments. Key Technologies AWS | Power BI | SQL | Python | S3 | Glue | Redshift | Lambda | Athena | IAM | CloudWatch | ETL/ELT | Data Modelling | CI/CD | Git | Terraform | DevOps/DataOps Mandatory requirement: Candidates must have ...

component software applications across the full stack. Design and implement backend services, APIs, frontend interfaces and integrations between enterprise systems. Develop production applications using Python, TypeScript and modern web technologies. Architect cloud-based solutions using AWS services, including Lambda, ECS/Fargate, S3 and API Gateway. Design and manage infrastructure … early-stage applications into robust platforms suitable for enterprise deployment. Provide technical guidance, mentor engineers and promote software engineering best practices. Essential Requirements Extensive Python development experience, building and maintaining production applications. Strong AWS experience, particularly with Lambda, ECS/Fargate, S3 and API Gateway. Proven experience deploying and managing ...

builds while ensuring performance, security, and usability are embedded from the outset. Key Responsibilities Design, develop, and test applications using Java/Spring Boot, Python, TypeScript, and Angular. (mix of FE and BE) Build and consume RESTful APIs and integrate with back-end microservices. Develop prototype user interfaces with … Essential Skills & Experience Solid hands-on experience with Java/Spring Boot and TypeScript/Angular in production or prototype environments. Working knowledge of Python for API or integration scripting. Strong understanding of Azure cloud services, including App Services, AKS, and storage. Experience developing and consuming APIs and managing data ...

maintainable solutions that power our AI-driven products and client deployments. Key Responsibilities Design, build, and maintain high-performance backend API services using Python, FastAPI, and Pandas. Develop clean, well-documented RESTful and asynchronous APIs following best practices. Ensure APIs are scalable, secure, and optimized for performance in production environments. … professional experience in backend or fullstack software development. Proven experience delivering production-grade backend systems at scale. Core Technical Skills Strong proficiency in Python as a primary backend language. Hands-on experience with FastAPI and Pandas for building data-driven API services. Solid experience with PostgreSQL - schema design, query optimization ...

Engineering, Artificial Intelligence or a related discipline. 5+ years' commercial experience in AI Engineering, Machine Learning Engineering, Backend Engineering or Data Engineering. Expert-level Python development experience. Experience productionising Machine Learning, NLP or Generative AI models. Strong experience designing and building RESTful APIs and microservices using frameworks such as FastAPI … Azure AI Foundry PyTorch FastAPI Knowledge Graphs Kubernetes Docker Infrastructure as Code MLOps Event-Driven Architecture Vector Databases Retrieval-Augmented Generation (RAG) Technology Stack Python SQL FastAPI PyTorch Docker Kubernetes AWS Azure Git CI/CD Knowledge Graphs AI/Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry What ...

builds while ensuring performance, security, and usability are embedded from the outset. Key Responsibilities Design, develop, and test applications using Java/Spring Boot, Python, TypeScript, and Angular. (mix of FE and BE) Build and consume RESTful APIs and integrate with back-end microservices. Develop prototype user interfaces with … Essential Skills & Experience Solid hands-on experience with Java/Spring Boot and TypeScript/Angular in production or prototype environments. Working knowledge of Python for API or integration scripting. Strong understanding of Azure cloud services, including App Services, AKS, and storage. Experience developing and consuming APIs and managing data ...

Glue, Lambda, Athena, Redshift, EMR and related technologies Design data models and storage approaches appropriate to analytical and operational requirements Develop solutions using Python, SQL and modern data engineering frameworks Apply infrastructure‐as‐code and automation approaches to the deployment and management of data platforms Build data quality, validation, monitoring … knowledge of AWS data services such as S3, Glue, Lambda, Athena, Redshift and EMR, with experience selecting the appropriate services for different requirements Strong Python and SQL skills Experience designing and building scalable ETL/ELT pipelines and data processing workflows Good understanding of data modelling, data lakes, data warehouses ...

Glue, Lambda, Athena, Redshift, EMR and related technologies Design data models and storage approaches appropriate to analytical and operational requirements Develop solutions using Python, SQL and modern data engineering frameworks Apply infrastructure-as-code and automation approaches to the deployment and management of data platforms Build data quality, validation, monitoring … knowledge of AWS data services such as S3, Glue, Lambda, Athena, Redshift and EMR, with experience selecting the appropriate services for different requirements Strong Python and SQL skills Experience designing and building scalable ETL/ELT pipelines and data processing workflows Good understanding of data modelling, data lakes, data warehouses ...

causes efficiently, and consider performance, scalability, and maintainability in your approach. Key Responsibilities Design and develop data pipelines, ETL processes, and backend services using Python Build interactive dashboards, data visualization tools, and web applications using React Develop RESTful APIs that connect data services to frontend applications Work with large-scale … engineers, data scientists, and product managers Contribute to a culture of continuous improvement, knowledge sharing, and technical excellence Required Skills & Qualifications Strong proficiency in Python (NumPy, Pandas, Scikit-learn, or similar) Experience with React (hooks, state management, component architecture) Experience building data pipelines and working with structured and unstructured data ...

/ML, or intelligent automation solutions. AI/ML Engineering: Practical experience building and deploying AI/ML models using frameworks such as Python, TensorFlow, PyTorch, scikit-learn, or Azure AI services. Software Engineering: Strong programming skills in Python, C#, .NET, PowerShell, or similar languages, with experience building REST APIs ...