1 to 25 of 174 Permanent Python Jobs in Scotland

reactive frameworks such as Vue, React, or Svelte, with experience in unit and end-to-end testing frameworks. Backend development experience with Node.js, Python, REST APIs, microservices, and relational or document databases (e.g., PostgreSQL/PostGIS, Firebase, BigQuery). Experience with data science, data analysis, and data-driven application development ...

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 ...

than consuming a cluster someone else runs. Infrastructure as code: Strong Terraform, and production experience on AWS. GCP or Azure alongside it is welcome. Python: Solid enough for real automation and operational tooling, with sound engineering practice around it. Pipelines: Built and maintained CI/CD with GitHub Actions, GitLab ...

Formal training or certification on software engineering or systems concepts and applied experience Advanced proficiency with infrastructure-as-code (e.g., Terraform) and scripting in Python and/or shell Deep hands-on experience with CI/CD tooling and building release automation at scale Strong experience with Kubernetes, containerisation ...

degree or equivalent practical experience Hands‐on experience delivering system design, application development, testing, and operational stability in an agile environment Proficiency in Python and Java Proficiency in automation and continuous delivery methods, including continuous integration and continuous deployment practices Working knowledge of cloud‐native delivery on Amazon Web Services ...

team-wide initiatives: code reviews, design discussions, ADRs, process improvements, and workstream planning. What You’ll Bring Core Significant commercial software engineering experience. Strong Python, with production experience in FastAPI, Django, Flask, or similar. PostgreSQL fluency, schema design, query optimisation, and ORM frameworks such as SQLAlchemy/SQLModel. Commercial experience ...

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 ...

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 ...

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 ...

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 ...

inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Advanced proficiency in Python and infrastructure-as-code, with modern software engineering practices Deep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns Strong CI/ ...

Bring Core Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider ...

inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Advanced proficiency in Python and infrastructure-as-code, with modern software engineering practices Deep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns Strong CI/ ...

based applications and agentic architectures with tool use, memory, and multi-step reasoning in regulated environments Expert in one or more programming languages, particularly Python and/or Java Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ ...

best practices with the ability to implement these practices within an application or platform Fluency in at least one programming language such as Java, Python, Go, etc. Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace ...

models, and solid data engineering skills (e.g. experience with cloud technologies - we use GCP, but experience with AWS is also relevant). Ability in Python and SQL for data manipulation, modelling, and scripting. You have experience working with large datasets. Knowledge of the data generated by websites ...

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Emerging Market Repo Trade ...

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within Credit Technology, you serve as a seasoned member ...

enabled solutions. Cloud and modern data infrastructure exposure, plus experience in Financial Services or another regulated industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps ...

Microsoft Azure AI Fundamentals (AI-901) Practical, real-world project work designed to help you develop hands-on skills in Excel, SQL, Python and PowerBI Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners ...

Microsoft Azure AI Fundamentals (AI-901) Practical, real-world project work designed to help you develop hands-on skills in Excel, SQL, Python and PowerBI Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners ...

Azure, AWS or Google Cloud. Understanding of networking, storage technologies and Active Directory. Experience with automation and scripting tools such as Ansible, PowerShell, Python or Terraform. Strong troubleshooting, problem-solving and analytical skills. The ability to thrive in a fast-paced, technically challenging environment. Why Join DXC? DXC Technology ...

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 ...

roles, inventories, vault, idempotency, the lot Comfortable with Docker and Docker Compose in production environments Understanding of networking fundamentals Strong scripting ability: Bash and Python Experience with GitOps tooling: ArgoCD or Flux Experience with observability tooling (Prometheus, Grafana, Loki, Alertmanager or equivalent) Ability to think creatively within constraints and plan ...

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 ...