1 to 25 of 565 Python Jobs in Glasgow

Required Skills & Experience: Core Engineering: 5+ years of experience in software development, with exposure to both backend and frontend stacks. Strong programming proficiency in Python, C++, and Java (Quant/Trading grade codebases). Expertise in modern web development with React, Node.js, MongoDB, and SQL (Postgres, MySQL). Strong understanding More ❯

by adopting new technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of Python and Linux shell scripting for data manipulation and automation. Strong expertise in SQL/NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing More ❯

and microservices architectures is a plus. Skills: Strong knowledge of IT infrastructure, virtualisation technologies, and network management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). Familiarity with CI/CD pipelines and deployment automation. Experience with environment monitoring tools (e.g., Prometheus, Nagios, Datadog). Knowledge of security best More ❯

backgrounds. Technical skills are only part of the equation. Ideally, you will have hands-on experience with the following in a previous role: React Python SQL Cloud platform experience (AWS, Azure, GCP) CI/CD, DevOps Testing Additional experience with the following would be beneficial but not essential: Infrastructure, Docker More ❯

environments. · SELinux, firewalls, and implementing security best practices. · Ability to monitor, diagnose, and optimize system performance for efficiency. · Expertise in scripting languages such as Python, PowerShell & Shell. · Expertise in Kubernetes for container orchestration and managing containerized applications · Strong incident fault finding skills and experience. · Familiarity with ITSM, Agile methodologies and More ❯

emerging technologies to improve team velocity and product impact. Basic Qualifications 7+ years of hands-on software development experience in Java (11–21) or Python . Deep expertise in backend technologies: SQL/NoSQL databases , Elasticsearch , MongoDB , Spring Boot , REST/GraphQL APIs , and ORM frameworks like Hibernate. Strong proficiency More ❯

each other and use breadth of tools to build automation to improve reliability for the firm Strong development skills with Java and/or Python, SQL Experience with translating research, analysis, and tests into business recommendations Ability to balance and be accountable for the work of multiple architects and designers More ❯

are keen to talk with good candidates. Bonus Skills Experience in AI, Machine Learning, or integrating AI models into front-end applications. Familiarity with Python or other languages used in AI development. Experience with cloud platforms (AWS, Azure, GCP). Knowledge of UI/UX principles and design systems. The More ❯

managerial role. Strong background in financial services, particularly in market risk, counterparty credit risk, or risk analytics Proficiency in modern programming languages (e.g., Java, Python, Scala) and frameworks. Experience with cloud platforms (AWS, Azure, or GCP). Deep understanding of software development lifecycle (SDLC), agile methodologies, and devOps practices. Preferred More ❯

particularly with deployment and environment management. Solid understanding of insurance business processes and workflows (Policy, Claims, Billing). Experience with scripting languages (PowerShell, Bash, Python). Proficiency in source control systems (e.g., Git, Bitbucket). Familiarity with Microsoft Azure cloud services (App Services, AKS, ADO, Key Vault, etc.). Experience More ❯

advancing the company's capabilities in LLM inferences and enhancing the overall quality of AI solutions. Requirements Some experience in programming languages such as Python, C/C++, and familiarity with object-oriented programming. Experience of working with or an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain More ❯

developers Support operational stability , ensuring smooth deployment and maintenance of production systems Your background Strong Java development experience in a professional setting Exposure to Python for data processing is a plus Experience working with large-scale data workflows for search or analytics Familiarity with search technologies (Apache Lucene, Solr, Elasticsearch More ❯

or a related field. Proven experience as a Data Engineer or similar role, with expertise in designing and implementing data solutions. Proficiency in SQL, Python, Java, or ML. Experience with data warehousing, ETL processes, and data modeling. Familiarity with cloud platforms (Azure, AWS) and data analytics tools. Good communication skills More ❯

of aquaculture monitoring and control systems (e.g., sensor integration, automated feeding systems, water quality monitoring devices). Write clean, efficient, and well-documented code Python for embedded systems. Work with micro controllers, microprocessors, and real-time operating systems (RTOS). Implement communication protocols (e.g., MQTT, UART, SPI, I2C, Ethernet, Bluetooth More ❯

Proven experience as a Data Engineer or similar role, with expertise in designing and implementing data solutions Proficiency in programming languages such as SQL, Python, Java, or ML Experience with data warehousing, ETL processes, and data modelling Familiarity with cloud platforms (e.g., Azure, AWS) and data analytics tools Good communication More ❯

diverse representation Required Qualifications, Capabilities, And Skills Formal training or certification on Java programming concepts and proficient advanced experience Formal training or certification on Python programming concepts Experience leading technology projects and managing technologists Proficient in automation and continuous delivery methods Proficient in all aspects of the Software Development Life More ❯

are keen to talk with good candidate Bonus Skills Experience in AI, Machine Learning, or integrating AI models into front-end applications. Familiarity with Python or other languages used in AI development. Experience with cloud platforms (AWS, Azure, GCP). Knowledge of UI/UX principles and design systems. The More ❯

business supported by the applications A willingness to be flexible Skills Desired Experience of distributed NoSQL databases, ideally MongoDB Advance relational database query optimisation Python and Linux Shell scripting Knowledge of the Equity Swaps and/or Equity Derivative business More ❯

and managing large models and agent-based AI workflows. Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production-grade AI/ML code. LLMOps & AI Model Management: Experience with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar More ❯

an enterprise setting Interest in understanding the business supported by the applications Flexibility and willingness to learn Experience with distributed NoSQL databases, ideally MongoDB Python and Linux Shell scripting Knowledge of the Equity Swaps and/or Equity Derivative business #J-18808-Ljbffr More ❯

Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record to take research from concept to business impact. Strong Python toolkit proficiency for Data Science, with experience in SQL and NoSQL databases. Familiarity with Jupyter Notebooks and Git version control. Expertise in working with large More ❯

Natural Language Processing.Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.) Familiarity with Python for AI/ML development is a significant advantage. Experience with data engineering pipelines or big data technologies (e.g., Kafka, Spark) is a plus. The More ❯

Associate with relevant experience) AWS Certified Data Analytics – Specialty (preferred) Experience with multi-cloud environments (Azure, GCP) is a plus Strong programming skills in Python, SQL, or Scala for data engineering use cases Good to have: Currently working in a major Consulting firm, and/or in industry, but having More ❯

development, and are keen to talk with good candidate Experience in AI, Machine Learning, or integrating AI models into front-end applications. Familiarity with Python or other languages used in AI development. Experience with cloud platforms (AWS, Azure, GCP). Knowledge of UI/UX principles and design systems. Recruitment More ❯

junior team members on DevOps practices and tools. Requirements · software engineering experience with proficiency in at least one of the following languages: JavaScript, Java, Python, or .NET. · Hands-on experience with containerization and orchestration tools (Docker, Kubernetes, Amazon EKS, Helm). Relevant certifications are a plus. Requirements: · 3+ years of More ❯