2,751 to 2,775 of 17,738 Python Jobs in the UK

record of translating strategy into executable engineering workstreams and delivering results at pace. Demonstrable experience with AI services and platforms, and a passion for intelligent automation. Excellent scripting skills (Python, PowerShell, Azure CLI) and experience with Infrastructure-as-Code (e.g., Terraform, ARM templates). Experience with SQL databases and multi-tier application stacks. Excellent communication and documentation skills, able to More ❯

releases, rollback strategies). Influence reliability culture and DevOps maturity across teams. Technical Environment The ideal candidate brings hands-on experience in many of the following areas: Languages & Scripting: Python, C#, Bash, PowerShell OS & Systems: Windows and Linux internals, Nginx, IIS Ideal Candidate Profile Extensive experience (typically 5+ years) in Site Reliability Engineering, DevOps, or Production Engineering roles. A solid More ❯

experience in BI, reporting, or data analytics, with expertise in Power BI, QlikView, or Qlik Sense. Strong technical skills in T-SQL, relational databases, DAX, Power Query, and Excel (Python/R is a plus). Have a working knowledge of Data Infrastructure (e.g. Warehouse, BI, Analytics, Big-Data). Be proficient in developing, architecting, and supporting BI platforms. Engage More ❯

activities adhere to change governance and SDLC standards Qualifications - Who we're looking for: Proven experience in designing and managing AWS-based infrastructure Proficiency in scripting languages such as Python and Bash Strong experience with Docker, ECS, and Terraform Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins) and version control using GitHub Experience with Windows Server, PowerShell, and More ❯

driven recommendations on their domain-specific challenges Drive the adoption of best practices in data science across the organisation, lead other data science engineers MINIMUM QUALIFICATIONS Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.) Experience with More ❯

Master's degree in computer 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 working with enterprise data platforms. More ❯

and experience: Proven experience designing scalable data architectures in cloud and hybrid environments. Expertise in data modelling, SQL, and platforms like Snowflake, dbt, Power BI, and Databricks. Fluency in Python and knowledge of multiple cloud providers (AWS, Azure, GCP). Understanding of security principles including role-based access control. Experience with legacy-to-cloud data migration and API integration testing More ❯

networking, security, authentication, and authorization (OAuth, JWT, OpenID Connect, IAM roles, etc.). Familiarity with big data technologies, streaming platforms like Kinesis, and data lake architectures. Proficiency in C#, Python, or Node.js for backend development and scripting. Strong problem-solving, analytical, and communication skills. AWS certification (e.g., AWS Certified Solutions Architect – Professional) is a plus. Experience with CI/CD More ❯

technical discussions, influencing smart decisions around configuration vs. custom development. Implement CI/CD pipelines, automation, and deployment processes. Basic Qualifications Proficiency in at least one modern programming language (Python, Ruby, Golang, Java, C++, C#, Rust). Strong familiarity with Linux/Unix environments. Experience working with CI/CD pipelines and automated deployment processes. 3+ years of professional software More ❯

common DevOps tools such as Jenkins, Tekton, uDeploy, Harness, Git, Kubernetes, Prometheus, Grafana, or similar. Experience with GenAI tools and platforms is a plus. Proficiency in scripting languages like Python or Bash for automation and tooling. Excellent problem-solving and analytical skills, with a proactive and solution-oriented mindset. Ability to adapt to the rapidly evolving landscape of GenAI tools. More ❯

Helm, or Pulumi. Experience of pipeline build/deploy tools such as Azure DevOps, TFS, or Jenkins. In-depth automation and scripting using tools such as PowerShell, AZ CLI, Python, Bash, Ruby, or Groovy. Detailed knowledge of configuration management technologies like DSC, Puppet, Chef, SaltStack, or Ansible. Thorough knowledge of logging and monitoring tools such as Prometheus, Grafana, Azure Monitor More ❯

inspiring teams and communicating complex ideas clearly. Technical Leadership & Strategy: Deep expertise in causal inference, uplift modeling, media mix modeling, LLM applications, and machine learning frameworks. Proficiency in SQL, Python, R; experience delivering scalable analytical solutions. Business Impact & Governance: Experience in data governance, privacy frameworks, and quality monitoring. Proven ability to implement enterprise BI tools like Power BI. Cross-Functional More ❯

technologies such as Docker, Podman and Openshift Experience of security fundamentals with relation to a k8s platform and DevSecOps a bonus Expertise in a major programming language such as Python or Java, and associated tooling (Git, Maven, IDEs, Jenkins, Bitbucket etc) Experience using Container Image Scanning platforms and tooling Expertise with DevOps, CI/CD and agile methodology Education Bachelor More ❯

and connected hardware. Strong understanding of networking protocols (TCP/IP, MQTT, HTTP), data communication, and edge/cloud data infrastructure. Proficiency in multiple programming/scripting languages (e.g., Python, JavaScript, C++, Node.js). Experience designing and managing cloud platforms (AWS, Azure, GCP), databases (SQL/NoSQL), and real-time analytics. Demonstrated experience working with or deploying AI/ML More ❯

and high-availability KDB applications. Preferred qualifications, capabilities, and skills Experience in Terraform and Kubernetes from managing a Production Plant in Public Cloud. AWS Experience. Experience other languages e.g. Python/C/C Java. Experience with market data venue and vendor data platforms. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products More ❯

languages The following Technical Skills & Experience would be desirable: Jupyter Hub Awareness RabbitMQ or other common queue technology e.g. ActiveMQ NiFi Rego Familiarity with code development, shell-scripting in Python, Bash etc. To apply for this DV Cleared DevOps Engineer job, please click the button below and submit your latest CV. Curo Services endeavour to respond to all applications. However More ❯

Master’s degree in computer 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 working with enterprise data platforms. More ❯

a related field is preferred. 3+ years of experience in a data-science related role, with hands-on experience in data science engineering. Proficiency in programming languages such as Python and SQL. Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. More ❯

data access and promote data self-service across teams. 5+ years of experience in professional data/software engineering, preferably in high-scale or scientific domains. Advanced proficiency in Python and SQL, with experience in PostgreSQL, GQL, or BigQuery. Strong experience in building ETL pipelines, with both batch and streaming architectures. Deep understanding of knowledge graph design, biological ontologies, and More ❯

you're motivated by the opportunity to work on meaningful projects that make a difference. As a recent graduate or early career professional, you will have: Some familiarity with Python and current technical AI tools Experience with version control systems like Git A strong interest in public sector AI and working on socially impactful projects Solid analytical and problem-solving More ❯

methodologies, particularly agile development and preferably Scrum. Experience in delivering solutions within Content/Data, or experience in customer-facing product delivery. Broad knowledge of technologies such as Java, Python, ReactJS, Node.JS, SAP, AWS, Azure etc. Knowledge of Enterprise Architecture principles. Development and application of coding standards. Experience in technically leading development teams, acting as the technical authority, guiding and More ❯

tasks Desirable Knowledge Areas: Understanding of data analytics tools (e.g., Power BI, Tableau). Familiarity with compliance standards (e.g., GDPR, ISO 27001). Knowledge of programming languages such as Python , Java , or C# for application customisation. More ❯

ago Edinburgh, Scotland, United Kingdom 5 hours ago Edinburgh, Scotland, United Kingdom 2 months ago Edinburgh, Scotland, United Kingdom 3 days ago Edinburgh, Scotland, United Kingdom 4 months ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Edinburgh, Scotland, United Kingdom 2 months ago Internship - AI Embedded Software Engineer (Italy Based) Edinburgh, Scotland, United Kingdom 2 months ago More ❯

architectural assessments and collaborating with stakeholders to define optimal solutions - Strong SQL skills with experience across relational and non-relational databases - Proficiency in a modern programming language such as Python, Java or Scala - Hands-on experience using DBT for pipeline development and transformation - Familiarity with cloud platforms such as AWS, Azure or GCP - Knowledge of orchestration tooling (e.g., Airflow, Dagster More ❯

mindset in the company. Personal Attributes & Experience Previous experience working as a data engineer in a start-up or fast-paced organisation. STEM background or similar. You have strong Python programming skills (built production-grade tools, have a test-driven approach, consistent and well documented code). You have strong SQL skills. Deployed applications on cloud services. Experience in using More ❯