1 to 25 of 37 Temporary Python Jobs in Scotland

orchestration AWS services (e.g., S3, Lambda, EC2, etc.) Maven for build and dependency management CI/CD pipelines and deployment automation Basic understanding of: Python (scripts, tools, integrations) Frontend technologies: HTML, CSS, JavaScript (for context when integrating with frontend ...

complex data annotation Training and evaluation of large language models Benchmarking and agent-based code execution in sandboxed environments Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.) Adapting guidelines for new domains and use cases Collaborating with project leads, solution engineers, and supply managers on complex ...

complex data annotation Training and evaluation of large language models Benchmarking and agent-based code execution in sandboxed environments Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.) Adapting guidelines for new domains and use cases Collaborating with project leads, solution engineers, and supply managers on complex ...

complex data annotation Training and evaluation of large language models Benchmarking and agent-based code execution in sandboxed environments Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.) Adapting guidelines for new domains and use cases Collaborating with project leads, solution engineers, and supply managers on complex ...

complex data annotation Training and evaluation of large language models Benchmarking and agent-based code execution in sandboxed environments Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.) Adapting guidelines for new domains and use cases Collaborating with project leads, solution engineers, and supply managers on complex ...

complex data annotation Training and evaluation of large language models Benchmarking and agent-based code execution in sandboxed environments Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.) Adapting guidelines for new domains and use cases Collaborating with project leads, solution engineers, and supply managers on complex ...

complex data annotation Training and evaluation of large language models Benchmarking and agent-based code execution in sandboxed environments Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.) Adapting guidelines for new domains and use cases Collaborating with project leads, solution engineers, and supply managers on complex ...

complex data annotation Training and evaluation of large language models Benchmarking and agent-based code execution in sandboxed environments Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.) Adapting guidelines for new domains and use cases Collaborating with project leads, solution engineers, and supply managers on complex ...

Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer ...

Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer ...

Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer ...

Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer ...

Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer ...

Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer ...

Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer ...

Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer ...

Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer ...

Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer ...

Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes … data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project ...

Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes … data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project ...

Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes … data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project ...

Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes … data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project ...

Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes … data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project ...

Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes … data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project ...

Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes … data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project ...