51 to 75 of 630 Python Jobs in Scotland

messaging platforms (e.g., Amazon MSK/Kafka, EventBridge, SNS) Familiarity with containerization and platform engineering patterns (Docker, Kubernetes, Helm) and scripting for automation (e.g., Python) Familiarity with server-side development in Java and/or Kotlin using the Spring Boot ecosystem Exposure to multi-region or disaster-recovery architecture patterns ...

observability Apply resilience engineering patterns — including timeouts, retries, and circuit breakers — to ensure reliable, production-grade service behavior Build and maintain well-tested, maintainable Python services and automation with clear packaging, dependency management, and architectural standards Own data design and implementation, including schema design, data access patterns, and complex ...

continuous improvement Required qualifications, capabilities, and skills Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering ...

discipline Proven hands‐on experience deploying LLMs and multi‐modal AI models within enterprise or large‐scale production environments Strong software engineering expertise in Python, including backend development, API design, and distributed systems Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud‐native AI deployment architectures Excellent ...

skills Formal training or certification on software engineering concepts and advanced applied experience Advanced proficiency in one or more programming languages such as Java, Python, or Go Hands-on experience with at least one major public cloud — AWS, Azure, or Google Cloud Hands-on experience with Terraform for infrastructure ...

consideredHands-on experience with Terraform for infrastructure as code to manage cloud resources efficientlyProficiency in one or more programming languages, such as Java, Python, or GoExperience working within software development practices such as Agile, Scrum, or DevOpsUnderstanding of cloud-native architectures and microservices design principlesProficiency across all aspects ...

independently with little to no oversightPractical cloud native experienceStrong functional and object-oriented programming skills with expertise in languages such as Scala, Java, and Python; and open-source frameworks/libraries, such as Apache Spark.Familiar with software engineering and project management tools such as Git, Jira, and Agile.Excellent problem-solving ...

following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices.Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications.Experience with MLOps practices including model deployment, monitoring, evaluation ...

building and maintaining data pipelines and platforms using tools like Spark, dbt, Airflow, Kafka, or Databricks.Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.Experience with cloud data platforms (e.g., AWS, GCP, or Azure).Experience working with behavioural analytics tools and data (e.g., Snowplow, Amplitude ...

following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring ...

deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/or PySpark Advanced knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineering Experience ...

related techniques as applied to architecture or software engineering disciplines. Hands‐on experience with object‐oriented software development using languages such as Java, Python, or C++; data formats including XML and JSON; and database management technologies including SQL, Oracle, Cassandra, and Public Cloud data offerings. Very strong knowledge ...

related techniques as applied to architecture or software engineering disciplines. Hands-on experience with object-oriented software development using languages such as Java, Python, or C++; data formats including XML and JSON; and database management technologies including SQL, Oracle, Cassandra, and Public Cloud data offerings. Very strong knowledge ...

messaging platforms (e.g., Amazon MSK/Kafka, EventBridge, SNS)Familiarity with containerization and platform engineering patterns (Docker, Kubernetes, Helm) and scripting for automation (e.g., Python)Familiarity with server-side development in Java and/or Kotlin using the Spring Boot ecosystemExposure to multi-region or disaster-recovery architecture patterns with ...

deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environmentsProficiency in one or more programming languages, particularly Python and/or PySparkAdvanced knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale ...

REST APIs OpenAPI Specifications OAuth2 JWT API Security Standards Experience with: Grafana ELK Stack OpenTelemetry Scripting & Automation Proficiency in one or more of: Python [optional] Bash Go PowerShell Networking & Security You'll thrive in this role if you: Have a passion for automation and engineering excellence. Are comfortable working ...

depth knowledge in one or more technical disciplines (e.g., cloud, observability, distributed systems, etc.) Advanced proficiency in one or more programming languages (e.g., Java, Python, Go, etc.) Advanced proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana ...

deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/or PySpark Advanced knowledge of software application development and technical processes in disciplines such as cloud, AI/ML, or data engineering Experience ...

continuous improvement Required qualifications, capabilities, and skills Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale Expertise in Python and/or PySpark Advanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data ...

capabilities, and skillsFormal training or certification on software engineering concepts and advanced applied experienceAdvanced proficiency in one or more programming languages such as Java, Python, or GoHands-on experience with at least one major public cloud — AWS, Azure, or Google CloudHands-on experience with Terraform for infrastructure as code, applied ...

innovation, inclusion, and continuous improvementRequired qualifications, capabilities, and skillsHands-on experience delivering system design, application development, testing, and operational stability at enterprise scaleExpertise in Python and/or PySparkAdvanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineeringExperience ...

Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and a variety of database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and an open-minded approach to tech stacks—ranging from SSIS and stored procedures to Airflow, Spark, Databricks, or Fabric. Cloud Capability: Experience ...

operating complex production systems. 6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strongproficiencyin Python anda track recordof developing maintainable, well-tested production software. Strong SQL skills and experience working with data-intensive applications and large-scale datasets. Experience designing ...

complex production systems. 4+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong SQL skills and experience working with data-intensive applications and large-scale datasets. ...

complex production systems. 6+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production. Strong proficiency in Python and a track record of developing maintainable, well-tested production software. Strong SQL skills and experience working with data-intensive applications and large-scale datasets. ...