1 to 25 of 65 Permanent Python Jobs in Scotland

with Terraform, Helm and at least one major cloud provider (AWS, Azure or GCP) Software engineering capability in a backend language such as Go, Python or TypeScript Understanding of observability tooling such as Prometheus, Grafana or OpenTelemetry Strong analytical and problem-solving skills Comfortable working within an agile, delivery-focused ...

version control systems (Git, Mercurial etc.) • Expertise with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps etc.) • Strong scripting ability (e.g. Python, Shell, PowerShell) • OCI container build, management and orchestration (Docker, Podman, Kubernetes, LXC etc.) • Artifact and dependency management and deployment • Familiarity with networking fundamentals including ...

client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong stakeholder and programme leadership ...

such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high ...

running workshops Experience with Microsoft data technologies (e.g. Fabric, Azure, SQL Server, Power BI) Solid coding skills in data-focused tools/languages (e.g. Python, SQL, Data Factory) Strong problem-solving and analytical thinking Self-motivated, with the ability to take ownership of projects Excellent communication skills (written and verbal ...

deployment, governance and integration patterns Collaborating with engineering, data, DevOps and business teams Advising clients on AI platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes ...

lifecycle optimisation, and software engineering best practices What We’re Looking For Proven hands-on experience with Databricks platform and orchestration Strong skills in Python, PySpark, and SQL, with knowledge of distributed data systems Expertise in developing full lifecycle data pipelines across ingestion, transformation, and serving layers Experience with data ...

applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building … price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step ...

embedding models Developing scalable backend services and AI integrations Collaborating across engineering, architecture and business teams Supporting AI deployment, governance and operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps ...

Support, maintain, and enhance our application hosting and build platforms across AWS, Kubernetes, Jenkins, and GitHub. Develop automation and tooling using technologies such as Python, Java/Groovy, Go, and Terraform. Technical Leadership & Best Practice: Lead code reviews and champion engineering best practices across security, performance, maintainability, and testing. Contribute ...

Tooling (desirable) Knowledge of Facilities Management domain (desirable) Background in domain-driven design, event-driven systems, or clean architecture (desirable) Software Engineering Typescript/Python/React/node js Microsoft .NET stack, SQL Server, NoSQL DB (eg Cosmos DB) REST API design and integration Design patterns and clean architecture ...

enthusiasm for safe and scalable AI. Specific ally: Strong engineering foundations, with experience building scalable distributed systems or data plat forms.Fluency in Python, SQL, Java, and modern data processing frame works.Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (requ ired).Proven experience developing monitoring frameworks, observability pipelines ...

staying current with industry trends. Proficient in at least two of the following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical ...

Postgraduate qualification in Computer Science, AI, Data Science, or related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools ...

environment experience (AWS, Azure or GCP) Solid experience in observability and monitoring tools . You should be proficient in a development language such as Python , with experience using it to automate tasks, build tools, and support infrastructure management. Terraform or Cloud Foundation . Experience with CI/CD Pipelines ...

experience with CI/CD platforms,whether that's Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or something comparable Write clean, reliable scripts in Python, shell, PowerShell, or a similar language Practical experience building, managing, and orchestrating OCI containers using tools such as Docker, Podman, Kubernetes, or LXC A good ...

experience with CI/CD platforms,whether that's Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or something comparable Write clean, reliable scripts in Python, shell, PowerShell, or a similar language Practical experience building, managing, and orchestrating OCI containers using tools such as Docker, Podman, Kubernetes, or LXC A good ...

Experience implementing changes and updates to infrastructure systems, ensuring minimal disruption. - Experience using and supporting scripting and software tools, in particular a knowledge of Python and MS DevOps platforms is required - Experience of sitting on Change and Architecture Boards and/or present to them, to ensure compliant and secure ...

especially in an online classroom setting. You are committed to continuous professional development and staying current with industry trends. Experience with scripting languages (e.g., Python, Bash) for automation, or implementing monitoring and logging solutions . You have industry experience applying DevOps principles to create efficient, scalable, and reliable software delivery ...

SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine ...

accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges ...

accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges ...

accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges ...

accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges ...

Data Engineering, or a related field Basic understanding of data structures, databases, and data processing concepts Familiarity with at least one programming language (e.g., Python, Pearl, or similar) Basic knowledge of SQL and relational databases Understanding of VMware, vSphere, and Windows server management. Strong analytical thinking and problem-solving skills ...