5 of 5 Python Jobs in Lossiemouth

apprenticeship standards, KSBs, assessment plans, or End-Point Assessment. Hands-on experience with data tools or languages such as Excel, Power BI, SQL, Tableau, Python, Google Sheets, Looker Studio, or similar. Familiarity with modern AI tools and technologies such as ChatGPT, Microsoft Copilot, Gemini, Claude, or other generative AI platforms. ...

permissions and access control in cloud environments 5 - 7 years experience in a customer-facing role, including 1-3 years of troubleshooting cloud environments Python Programming skills are a plus Relevant cloud certifications (e.g., AWS Certified SysOps Administrator, Microsoft Certified: Azure Administrator Associate) are a plus, but not required Must ...

metal or hybrid environments such as HPC or GPU clusters, optimised for performance and low latency Are comfortable writing automation and systems tooling in Python, Go, or similar languages Understand container runtimes like Docker and containerd, and have built or worked with orchestration systems beyond Kubernetes Are fluent in observability ...

implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director … Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring ...

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 ...