526 to 550 of 1,541 Remote/Hybrid Python Jobs

understanding of CISSP. Deep understanding of modern software architecture and cloud-based platforms Hands-on experience with at least two of the following:C#, Python, Go, Java, JavaScript, TypeScript, PHP Experience with Microsoft Azure is highly desirable Exposure to AI and machine learning technologies is a strong advantage Skills & attributes ...

with Microsoft Azure data services and Microsoft Fabric (end-to-end platform delivery experience is essential). Advanced SQL skills and strong proficiency in Python for data engineering and automation. Solid experience designing data models and building scalable, production-grade data pipelines. Strong understanding of data governance, security, compliance ...

Ability to manage time effectively and balance development and support tasks Additionally, the following experience would be beneficial: Any exposure to .NET, SQL, Java, Python, or PowerShell Experience in a customer service or IT support environment Personal projects, coursework, or portfolio demonstrating interest in coding Entry requirements: 7 GCSEs total ...

Marketing Mix Modelling within a professional environment. Strong understanding of media, marketing, pricing, and promotional levers, and how they influence commercial performance. Solid Python skills for data manipulation, modelling, and visualisation (e.g., pandas, NumPy, scikit-learn). High proficiency with Microsoft Office, particularly Excel, PowerPoint, and Word. Exceptional attention ...

Marketing Mix Modelling within a professional environment. Strong understanding of media, marketing, pricing, and promotional levers, and how they influence commercial performance. Solid Python skills for data manipulation, modelling, and visualisation (e.g., pandas, NumPy, scikit-learn). High proficiency with Microsoft Office, particularly Excel, PowerPoint, and Word. Exceptional attention ...

/CD techniques Experience with GraphQL, OpenAPi spec, JSON Schema & SQL/No SQL databases. Familiarity with MonoRepo project structures (TurboRepo) Development ofAPIs with Python Frameworks e.g. FastAPI Benefits Diamond offers an exceptional benefits package to support staff in achieving a positive work/life balance. This includes 26 days ...

knowledge Solid experience of at least 3 years in a senior automation role, skilled in creating frameworks with strong coding experience e.g Java, Playwright, Python, Typescript, Cypher, Scala and API tooling (such as Insomnia, Apidog or Postman) Graph and event-driven validation Automation-first test experience Layered test architecture Risk ...

knowledge Solid experience of at least 3 years in a senior automation role, skilled in creating frameworks with strong coding experience e.g Java, Playwright, Python, Typescript, Cypher, Scala and API tooling (such as Insomnia, Apidog or Postman) Graph and event-driven validation Automation-first test experience Layered test architecture Risk ...

similar analytical role. Knowledge of price optimisation techniques and ability to translate complex analytics into actionable insights. Strong technical skills with experience of DataBricks, Python & Radar. Hands-on experience building predictive models - GLMs, GBMs, Decision Trees & Neural Nets. A confident communicator who can influence at all levels. Self-driven, innovative ...

intelligence etc. Hands-on practical knowledge with reverse engineering and/or vulnerability testing tools and techniques. Experience in common scripting languages such as Python, Ruby, LUA, Powershell or BASH and at least one development language e.g. Java, C, C# or similar would benefit the role. Experience in product development ...

build and optimize a model training pipeline. You are familiar with tools for machine learning in production and model deployment. You have strong Python coding skills: you write modular tested software and follow best practices in documentation and formatting. You are confident with version control tools like git. You have ...

Front Office modules; ideally additionally ESG modules and Fix Trading. Experience in Cloud infrastructure (MS Azure) and API usage is a plus (SQL, Python, JSON). Advanced business knowledge about asset and investment management processes. Experience with ITIL processes to collaborate with infrastructure, operation, development and technical architecture. Strong customer ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...