1 to 25 of 79 Permanent Python Jobs in Scotland

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 ...

technologies, applied cryptography, security vulnerabilities and remediations.* Significant software development experience. Experience in Go (our main backend language), Typescript/Javascript, C/C++, Python and Bash is desirable.* Working knowledge of web-related protocols and technologies (HTTP, REST APIs, DOM, CSP), networking protocols (IP, TCP, UDP), and security protocols ...

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 ...

Azure/AWS/GCP Solutions Architect, along with CCSP or equivalent. Consulting or client facing project leadership experience. Experience with .NET or Python and modern infrastructure practices such as immutable deployments and GitOps. Familiar with cloud‐native security tooling and contributing to internal platform frameworks or shared services. What ...

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 ...

experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic/Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding ...

degree (or higher) in Computer Science , Software Engineering , or a related field (or equivalent practical experience) Strong experience with the following programming languages: C# Python C++ Java and/or Rust Solid experience working in Linux environments Hands‐on experience with container technologies (e.g., Docker) Good understanding of IoT systems ...

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 ...

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 ...

including CI/CD, infrastructure automation and cloud-native architectures Proficiency in Azure DevOps with experience migrating to GitHub Strong scripting and automation experience (Python, Bash, Terraform) Solid background in Linux administration, containerisation and orchestration technologies Proven experience leading cyber security, risk management and compliance (including ISO standards and Cyber ...

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 ...

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 ...

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 ...

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 ...

engineering teams to enable better decision making Your Skills and Experience Strong commercial experience as a data engineer in modern, cloud based environments Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks Experience building and maintaining data pipelines in AWS using services such as S3, Glue ...

mentoring and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as pandas, NumPy, scikit‐learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, and PyTorch. Experience with model deployment and serving tools: ONNX, TensorRT ...

exact tools and workflows employers expect from junior and entry-level data analysts. What you will learn Data analysis using Excel, SQL, Python Business intelligence and dashboards with Power BI Data cleaning, data modelling, and reporting Real-world portfolio projects for your CV and LinkedIn Interview preparation and career coaching ...

What you’ll bring Essential criteria Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise‐scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins). Advanced SQL: Master‐level proficiency in SQL (ideally BigQuery ...

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 ...

monitoring and alerting system using systems like Grafana, Prometheus, or Nagios Experience with Infrastructure as Code tools such as Terraform and Ansible Familiarity with Python data visualization libraries Spire operates a... #J-18808-Ljbffr ...

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 ...