1 to 25 of 161 Permanent Python Jobs in Scotland

Cloud DevOps, Cloud Architecture or Platform Engineering. Strong understanding of AWS across compute, networking, identity and databases. Solid experience with Terraform and CloudFormation. Strong Python skills. Confident with SQL, MySQL, Postgres and S3 based storage. Comfortable with Linux and shell scripting. Experience with Git, GitHub and CI or CD pipelines. ...

driven product development. Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic ...

analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability ...

Bring Proven team leadership in DevOps/cloud engineering Strong experience with infrastructure-as-code (Terraform, Ansible, Pulumi) Skilled in scripting or programming (e.g., Python, Java, Go, Bash) Deep knowledge of Linux/Unix environments Expertise in containerization (Kubernetes, Docker) and orchestration tools Experience with GitOps tools (ArgoCD, FluxCD) Familiarity ...

with data scientists, commercial teams, and ops leaders. Hard Skills Required • Software Engineering: Strong in at least one modern language (JavaScript/TypeScript, Java, Python) • Web & Product Development: Frameworks (React, Node.js, Django/Flask) • AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama • Agentic AI: Frameworks (langchain, langgraph, Google ...

Strong understanding of Agile and DevOps practices, with a focus on continuous integration and delivery. Some proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/ ...

Extensive experience in software engineering, with a focus on large-scale, complex systems. Polyglot engineer comfortable working across multiple languages and frameworks (weve used Python, Java, Kotlin, Node.js, C#, JavaScript, Express, React and Next.js to name a few). Passion for learning new technologies and helping others do the same. ...

across the organisation. What we're looking for Strong experience in Site Reliability Engineering, DevOps, or Platform Engineering. Solid programming and scripting skills (e.g. Python, Go, Bash). Deep understanding of Linux, networking, distributed systems and cloud platforms. Experience with infrastructure-as-code and automation (e.g. Terraform, Ansible, CloudFormation). ...

Looking For: Degree in Software Engineering, Electrical Engineering, or similar Experience with C++, Rust (edge/performance-critical systems) and/or Python, Go, or Java (cloud services) Hands-on experience with Docker, Kubernetes, and event-driven architectures Experience working with time-series and relational databases (e.g. InfluxDB, TimescaleDB, PostgreSQL ...

Science, Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit-learn) or R Basic understanding of statistical analysis and machine learning concepts Experience working with SQL and relational databases Familiarity with data ...

scalable solutions. DevOps & CI/CD: Your experience with Power Platform ALM/CI-CD pipelines, Azure DevOps, and automation tools like PowerShell and Python fits perfectly with their requirement for designing and managing pipelines. Infrastructure as Code: You've used ARM templates and Azure resources, and your cloud architecture ...

working directly with data models, integrations, and operational outputs from these platforms. Technical requirements Proven experience as a Data Engineer in production environments. Strong Python and SQL skills. Hands-on Databricks experience (DLT, Delta Lake; Unity Catalog desirable). Solid understanding of data modelling, data warehousing, and distributed systems. Experience ...

working directly with data models, integrations, and operational outputs from these platforms. Technical requirements Proven experience as a Data Engineer in production environments. Strong Python and SQL skills. Hands-on Databricks experience (DLT, Delta Lake; Unity Catalog desirable). Solid understanding of data modelling, data warehousing, and distributed systems. Experience ...

models, and regulatory factors. Develop intelligence around imbalance exposure, generation patterns, demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency in Python and associated data science libraries (NumPy, Pandas, SciPy, scikit‐learn, PyTorch/TensorFlow). Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar ...

With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric What We're Looking For Experience 5-8+ years of Data ...

detection, and ongoing optimisation Required Experience Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines ...

Azure, or Google Cloud. Knowledge of networking, storage solutions, and Active Directory in cloud environments. Experience with automation tools (Terraform, Ansible, PowerShell, or Python). Understanding of IT security best practices, identity management, and compliance. Strong troubleshooting skills and ability to work in a fast-paced environment. ...

path and kernel-level networking (e.g., XDP, eBPF, dpdk, iptables, nftables) for traffic processing, filtering, and observability. Proficiency in one or more: Java/Python/C Rust/Go (strong preference for Java for control-plane/services). Deep systems design expertise: concurrency, memory management, performance tuning ...

frameworks like React, Angular, Vue, Advanced JavaScript, HTML, CSS, SASS, LESS, Webpack Well versed with technologies and frameworks like JAVA/C#, Node, Python, Spring, AWS technologies like Lambda, ECS, S3, EMR, DynamoDB, Cognito, IOT, Step Functions, EC2, API Gateways Clear understanding of developing UI as well as backend architectures ...

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 ...

systems stable and fast What you bring Strong background in AI Ops, MLOps, DevOps or Infrastructure Engineering Hands-on experience with Linux, automation, scripting (Python/Bash) Experience with distributed systems and compute-heavy environments Familiarity with containers & orchestration (Docker, Kubernetes or similar) Comfortable operating onsite in Edinburgh 3x/ ...

systems stable and fast What you bring Strong background in AI Ops, MLOps, DevOps or Infrastructure Engineering Hands-on experience with Linux, automation, scripting (Python/Bash) Experience with distributed systems and compute-heavy environments Familiarity with containers & orchestration (Docker, Kubernetes or similar) Comfortable operating onsite in Edinburgh 3x/ ...

systems stable and fast What you bring Strong background in AI Ops, MLOps, DevOps or Infrastructure Engineering Hands-on experience with Linux, automation, scripting (Python/Bash) Experience with distributed systems and compute-heavy environments Familiarity with containers & orchestration (Docker, Kubernetes or similar) Comfortable operating onsite in Edinburgh 3x/ ...

logging & Monitoring Tools - ELK stack, Grafana, Prometheus, Open Telemetry Public cloud experience – they use AWS and Azure. Beneficial if you can script/code – Python, Ruby, JSON etc. Messaging/Streaming products - Kafka, IBM MQ, IBM IIB/ACE – also beneficial This is a Lead level role so experience leading ...