1 to 25 of 113 Permanent Python Jobs in Edinburgh

considered, we would like to see demonstrated, hands-on experience of: Strong understanding of at least one object oriented language, e.g. Java, Go or Python Developing of RESTful API services & understanding of API Gateways (e.g. APIGEE). Building applications utilising container technologies e.g. Docker. Managing application deployed to Kubernetes clusters More ❯

Computer Science (or similar) from an accredited university (or in lieu of degree, 4+ years of relevant work experience). Strong programming skills in Python, Go and/or Java with the ability and interest to learn other coding languages as needed. Experience deploying and managing Kubernetes infrastructure using one More ❯

of the following): Familiarity with networking concepts and containerization (Kubernetes, Container Registry, Ingress Controllers, Load Balancers, SSL). Scripting/programming experience using Bash, Python, or GoLang. Good practical knowledge of a Linux environment with basic system administration skills. Proficient understanding of web and HTTP concepts as well as expertise More ❯

Attributes for Success Technical We will assess you against the following technical skills at application and assessment process: Strong experience with programming languages (Java, Python, JavaScript) and related frameworks (Spring Boot, Flask, React) Experience with container platforms (Docker, OpenShift) Proficiency with cloud platforms (AWS, Azure) and modern DevOps tools Experience More ❯

Research and present various approaches to solve technical problems. What You'll Bring Experience with any general-purpose programming language (C, C++, C#, Java, Python etc.) and understanding of object oriented or functional programming. Knowledgeable of Web services development (REST, GraphQL). Experience with Agile and with Source Control tools More ❯

delivery. Who you are: Solid technical foundation in both machine learning and software engineering. Experience deploying machine learning models in production environments. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines More ❯

and AI. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proficiency in programming languages such as Python, R, or Java. Strong understanding of mathematics and statistics. Experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Knowledge of data analysis and visualization More ❯

Strong knowledge of Serverless Technologies Infrastructure as Code with Terraform, Ansible and CloudFormation CI/CD with Azure DevOps Scripting & Automation skills with Bash, Python, Go and PowerShell Networking & Security with VPC, Nginx, HAProxy, AWS CloudFront, AWS ALB/NLB, AWS WAF & Shield and SIEM tools Excellent people, communication & inter More ❯

excellence. Minimum Requirements 6+ years of experience in building machine learning models for business applications. Knowledge of programming languages such as C/C++, Python, Java, or Perl. Experience with neural deep learning methods and machine learning. Master's degree in engineering, technology, computer science, machine learning, robotics, operations research More ❯

science/engineering or related experience. Excellent knowledge and practice of software and architecture patterns. Excellent knowledge of full-stack development in Node, .NET, Python, or Java with demonstrable mastery of at least one of those technologies along with its tooling and ecosystem. Excellent knowledge of data architecture and experience More ❯

Prior experience with Incident management and Problem management. Prior system administration experience highly desirable. Programming experience in at least one of the following: Java, Python, or Perl or shell scripting experience. Candidates must have a strong interest and skills for quickly learning new technologies and proprietary systems. Possess a positive More ❯

deployments on platforms such as AWS, GCP, and Azure. Extensive hands-on experience with cloud-based AI/ML solutions and programming languages (e.g., Python, PySpark), data modelling, and microservices. Proficient in LLM orchestration on platforms such as OpenAI on Azure, AWS Bedrock, GCP Vertex AI, or Gemini AI. Serve More ❯

CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance More ❯

in Engineering, Computer Science, Motorsport Engineering, or related field. Highly proficient and experienced working with telemetry systems, preferably MoTeC or similar. Strong proficiency in Python, SQL, and data analysis libraries (Pandas, NumPy, etc.). Familiarity with data visualisation tools (e.g. Plotly, Power BI, MATLAB, or custom dashboards). Understanding of More ❯

Platform Technologies, including Understanding of Databricks architecture, including basic data warehousing concepts and data sharing capabilities The ability to write SQL and/or Python queries for the purposes of transforming, joining and aggregating data Ability to analyse datasets and generate insights using Databricks analytical tools and features Practical knowledge More ❯

modelling methods). Advanced knowledge of ML techniques (in both a supervised and unsupervised learning context). Proficient in a range of programming languages (Python and/or R preferable, SQL, C#, Java). Solid grasp of popular and emerging technology stack for building and orchestrating ML solutions and decision More ❯

PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering Experience with cloud-native AI More ❯

Docker, and Kubernetes is essential. A solid understanding of data structures and algorithms is required. Familiarity with secondary programming languages such as C++, C, Python, or JavaScript is preferred. A strong problem-solving ability and keen interest in the fintech sector are imperative for success in this role. More ❯

Science, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL, Python, R, and Excel. Experience with data visualisation tools like Tableau or Power BI. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability More ❯

and experience Experience in the provision of commercially facing Engineering Services, Consulting, or Customer Success roles Experience of using a scripting language such as Python Knowledge of satellite or space-based software solutions for Flight or Ground More ❯

Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java, C++, Python or related language experience - Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the More ❯

programming/software engineering and may hold a degree in IT or a related subject. Experience in scripting and programming languages such as Golang, Python, and TypeScript is essential. Experience in systems administration, including Linux/Windows, is important. Hold a good understanding of common network protocols, especially HTTP/ More ❯

. Data engineering/data pipeline experience, with hands on experience on integration tools such as Azure Databricks Notebooks, Azure Data Factory or PySpark. Python extremely beneficial. About Royal London We're the UK's largest mutual life, pensions, and investment company, offering protection, long-term savings and asset management More ❯

AWS Services such as SageMaker, Lambda, Step Functions, S3 etc would be an advantage Hands on and technical understanding of complex Data Warehousing terminology. Python scripting knowledge would be desirable. Experience of implementing CI/CD process would be an advantage. Experience of adding automation to Datawarehouse testing projects. Benefits More ❯

APIs The ability to rapidly and effectively understand and translate product and business requirements into technical solutions Strong working knowledge of JavaScript, Java and Python A background in delivering solutions that securely span a complex infrastructure domain, across multiple cloud providers such as, IBM, AWS, GCP and On-Prem Familiarity More ❯