876 to 900 of 8,529 Permanent Python Jobs

mitigation trade-offs A proactive mindset — you don't wait to be asked; you spot something unusual and you dig in Some exposure to Python or scripting for data manipulation and analysis Proficiency with a BI tool (PowerBI, Looker, Tableau, Superset, Redash, or any other alternative) Strong stakeholder management skills … bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field Experience with the following would be a plus Data governance Python or any other scripting language Git or any other version control tool What we can offer you Culture - We put our people first and prioritise ...

reporting, analytics, and operational decision-making across the project programme. Working within a multidisciplinary Data & Analytics team, the successful candidate will use Databricks, SQL, Python, and Microsoft technologies to deliver robust, scalable, and maintainable data solutions. They will collaborate closely with Data Architects and Performance Analysts to transform business requirements … Information Systems, Mathematics, Engineering, or a related discipline. Relevant Databricks, Azure, or Power BI certifications are desirable. Software Experience Databricks SQL Server Power BI Python Additional Information What we offer Hybrid Working – Flexibility to work from home and the office 25 Days Annual Leave + Bank Holidays Buy & Sell Holiday ...

Architecture based ETL processes using S3, Iceberg and Athena - Azure DevOps/AWS CodeCommit/AWS CodePipeline - AWS Step functions - Athena SQL ; Spark SQL ; Python - AWS CLI - Release management (CI/CD) - Knowledge and Experience - desirable - AWS Databrew - AWS RDS/Redshift - AWS Macie - AWS CloudWatch - AWS Quick - AWS Sagemaker ...

i.e. Microsoft Fabric, Snowflake or equivalent) for: Data ingestion Transformation Storage and analytics APIs and integration frameworks to enable scalable and maintainable system connectivity Python (or equivalent) for: Data engineering Automation Advanced analytics use cases Ensure the Data function delivers practical, business-relevant use cases, including: Forecasting improvement (ML-driven … platforms: Microsoft Fabric (preferred) or Snowflake/equivalent cloud data platforms Data integration patterns, including: APIs ETL/ELT processes Programming and data manipulation (Python, SQL) Proven ability to: Transition organizations from fragmented reporting to standardized data-driven decision making Drive business adoption of data, not just technical implementation Experience ...

scaling strategies. Support ML Ops needs: help productionise machine learning workloads and ensure the ML infrastructure is reliable, observable, and cost-effective. Write Python for automation, tooling, and infrastructure glue code across the platform. Champion DevSecOps practices — embedding security into the pipeline, managing secrets, enforcing least‐privilege access, and working … 10+ years of experience in a DevOps, SRE, platform, or infrastructure engineering role, ideally including production ownership of business‐critical systems. Strong proficiency in Python , used for automation, tooling, and operational scripting. Deep, hands‐on experience with AWS , including container platforms such as ECS and EKS . Proven expert‐level ...

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 ...

Amazon EKS/Kubernetes. Support container platforms, including workload deployment, configuration, networking, storage, scaling, monitoring, and troubleshooting. Develop scripts, tools, and automation using Python, Shell, PowerShell, or similar technologies to reduce manual effort and improve consistency. Convert recurring operational issues into reusable automation, platform capabilities, or standardized deployment patterns. Support … Production experience with Docker and at least one container platform, such as Amazon ECS Fargate or Amazon EKS/Kubernetes. Experience developing automation using Python, Shell, PowerShell, or a similar scripting language. Ability to troubleshoot complex technical issues across infrastructure, deployments, networking, permissions, and containerized workloads. Ability to contribute ...

analytics solutions, from data ingestion and transformation to models, applications, and stakeholder-facing insights.* Build and maintain scalable data pipelines using SQL, Python, and Databricks, ensuring data quality, reliability, and reproducibility.* Apply machine learning and generative AI, including LLMs, and agentic workflows, where appropriate to improve analytics and decision support. … from concept to production, supported by equivalent practical experience.* Strong SQL expertise, including complex queries, data transformation, and performance optimisation across large datasets.* Strong Python proficiency for data analysis, machine learning, automation, and production-quality application development.* Robust knowledge of data engineering, including data modelling, ETL/ELT, pipeline orchestration ...

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. ...

Infrastructure as Code Develop and maintain Infrastructure as Code solutions using PowerShell, Bicep, ARM Templates and Azure-native tooling. Create automation solutions using PowerShell, Python and Azure automation services. Support CI/CD pipelines and DevOps practices for cloud platform deployments. Identify opportunities to reduce manual effort through automation … principles, governance controls and compliance best practices. Strong understanding of networking concepts including VPNs, firewalls, load balancers and hybrid cloud connectivity. Proficiency in PowerShell, Python and other automation and scripting technologies. Strong understanding of Infrastructure as Code (IaC), configuration management and cloud automation frameworks. Experience with DevOps practices including ...

detection, and interruption handling in real-time systems Integrate agents directly into customer codebases via REST/GraphQL/WebSocket APIs and custom SDKs (Python, TypeScript) Act as trusted technical advisor to customers, shaping AI strategy and guiding roadmap decisions from concept to production Data Strategy & MLOps Infrastructure Design data … with LangChain, LlamaIndex, or similar orchestration frameworks Voice AI platform experience built real-time conversational systems with production STT/TTS integration Proficiency in Python (production-grade, async programming, type hints) and JavaScript/TypeScript (full-stack development) RAG implementation experience built retrieval-augmented generation systems with vector databases MLOps ...

frameworks Own end-to-end technical relationships from scoping through production optimisation Requirements Minimum 5 years of industry experience Strong software engineering background in Python and/or TypeScript, with production system experience Hands-on experience with agentic AI and LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex) Experience designing multi-agent ...

fast-moving biotech environment. Key Responsibilities Design, build, and maintain scalable MLOps infrastructure for model deployment, monitoring, retraining, and lifecycle management. Productionise Python-based scientific and machine-learning workflows using Docker, Kubernetes, and modern CI/CD practices. Build and optimise secure cloud-native pipelines across … across the digital stack. Required Experience 5+ years of experience in MLOps, data engineering, platform engineering, cloud infrastructure, or a closely related field. Strong Python engineering skills, including packaging, testing, and refactoring research or data-science code into production services. Deep experience with Docker and container orchestration, ideally Kubernetes. Strong ...

drive engineering excellence in a high performance, data intensive environment. Key Responsibilities Core Engineering & Platform Delivery Design, develop, and maintain complex Java and Python applications using modern engineering practices. Build/embed AI powered features into mission critical systems. Architect and enhance services that support large scale, performance critical index … into scalable solutions. Good command of coding standards and Strong understanding of both high level and low level software design. Expertise in Core Java, Python, Building highly distributed, data intensive systems, Microservices, REST APIs, RDBMS (Oracle/SQL Server/Postgres), CI/CD tools (Jenkins/GitLab), DevOps automation ...

system design, data structures, and clean code practices. Proven experience designing and shipping production-grade AI or ML-enabled software systems. Strong proficiency in Python, including building and shipping production backend services. Hands‐on experience building applications with LLMs such as Azure OpenAI, OpenAI, Anthropic, or similar. Experience with FastAPI … comparable Python web frameworks. Production experience with Docker and Kubernetes, including deployment and management on AKS. Strong hands‐on experience with Azure, including Azure OpenAI, Azure AI Search, AKS, and Databricks. Proven production experience with LangGraph and LangChain, including multi‐step agentic workflows and tool‐calling agents. Hands‐on experience ...

security and compliance requirements. Implement monitoring and observability using Azure Monitor, Log Analytics, Application Insights, Prometheus and Grafana. Automate infrastructure and operational processes using Python, PowerShell and Bash. Troubleshoot complex production issues and improve platform performance, resilience and availability. Work closely with Architecture, Security, Cloud and Engineering teams to deliver ...

etc.) . 2. Minimum 3 + year h ands-on experience with OpenShift Virtualization and Kubernetes . 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks . 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments . 5. Familiarity with CI/CD tools (Jenkins ...

ensure OneSuite’s backend systems are scalable, reliable, secure, and performant. Responsibilities Backend Architecture & System Design Architect distributed backend services and APIs using Python, FastAPI, Node.js, or equivalent frameworks. Design modular, observable, and scalable backend components for orchestration, data services, and platform integrations. Define patterns for microservices, domain boundaries, caching … architecture decisions across charters to ensure consistency and maintainability. Qualifications Demonstrable backend engineering experience, with architectural ownership over services or distributed systems. Expertise in Python, FastAPI, Flask, or Node.js and modern backend development patterns. Strong understanding of microservices, concurrency, async programming, and event‐driven architectures. Proficiency with SQL and NoSQL ...

expertise in statistics, machine learning, computer science, physics, mathematics, or another quantitative discipline, demonstrated through advanced industry or research work. Expert-level proficiency in Python and SQL, with a track record of writing clean, testable, production-quality code. Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference … onboarding others onto them. Experience with UTXO, EVM, or other blockchain data, graph computation, and/or the cryptocurrency ecosystem. Technologies we use: Python SQL Databricks Dbt PySpark/Spark Terraform AWS Postgres AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. ...

Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, Java, and GoLang Leverage compute technologies such as Dask and RAPIDS Evangelize best practices in all aspects of the engineering and modeling lifecycles Help … Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 10 years of experience programming with Python, Java, Golang, or C++ At least 8 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn ...

plan regressions along with self service diagnostic tools to allow teams to debug their own query performance. Automate what is currently manual, using PowerShell, Python, or Terraform, and treat database configuration as code. Manage SQL Server cost as a first-class metric alongside latency and uptime. Work alongside Product Engineering … considered move to a different store. Comfortable writing application code, not just scripts. T-SQL to an expert level, plus PowerShell or Python, and infrastructure as code. Hands‐on with HA/DR design and with leading production incidents. Working knowledge of other database engines such as PostgreSQL, and views ...

understanding of machine learning algorithms and frameworks with a general grounding in software engineering practices and a genuine curiosity about how ML models work. Python: Strong proficiency and hands‐on programming experience in Python are required. ML Frameworks: Practical experience working with machine learning frameworks (e.g. Pytorch) to build, train ...

turn complex and manifold data into clear insights Talent to create compelling visualisations that bring data to life Skillset to manipulate datasets in Python, SQL and Excel Ability to use GitHub to collaborate with other developers Familiarity with AWS or other cloud platforms Excellent English Preferred Qualifications Expertise with data … other cloud platforms Expertise in journalism, media, communications, or marketing Knowledge of SEO and GEO/AIO Ability to write production‐level Python code including automated testing Expertise in graph data science/network analytics Web automation technologies such as Selenium Familiarity with Terraform and DevOps principles Additional language skills ...

transparency, interpretability and risk management throughout the AI lifecycle, aiding maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You’ll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques … graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh ...

resources (Microsoft Azure preferred). Substantial experience supporting the build and deployment of, or coding in one or more of the following or equivalent: Python .Net Core/C# NextJs/Node frontend Substantial experience in software development process and tools, and development or scripting experience in one or more … following: Python/Bash/PowerShell Experience in containerisation technologies and platforms such as Docker, AKS or Azure container services such as Azure App Services, Azure Functions, Azure Logic Apps or Azure Container Registry or equivalent. Experience in managing and supporting distributed source code repositories including Git. How to Apply ...