2,176 to 2,200 of 21,859 Python Jobs in the UK

experience Have an excellent knowledge of continuous software delivery including using and developing with applicable toolsets Be proficient in development languages, including one or more the following: Java, Springboot, Python, C#, .NET, Kafka. Have an excellent understanding of data modelling principles, data manipulation languages, and storage systems Good knowledge of industry best practices, such as code coverage Proficiency of software More ❯

of experience in a DevOps, SRE, or related engineering role. Hands-on experience with at least one major cloud provider (OCI preferred). Proficiency in scripting languages (e.g., Go, Python)and Linux server scripting. Experience with CI/CD tools and practices. Knowledge of monitoring/logging tools (e.g., APM). Experience with CLI version control (e.g., Git). Preferred More ❯

and work experience; Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules; Experience with at least one modern scripting or programming language (C++, Java, Python, Ruby, etc.); Experience in automating, deploying, and supporting large-scale infrastructure; Experience with Linux/Unix; Experience with CI/CD pipelines build processes; Preferred qualifications: Knowledge of professional software More ❯

a tech lead Software architecture and design experience Software development or operations experience with: Ubuntu - kernel and userspace, deb/snap packaging, QEMU/KVM, LXC/LXD, Containers, Python, Go, C, bash, Postgresql, Mongo, Kubernetes, OpenStack, Ceph, AI/ML Participation in open-source development projects Experience with CI/CD Canonical is an equal opportunity employer Canonical believes More ❯

fleets and richer telemetry streams. Ensuring backward-compatibility of APIs while iterating rapidly on new features. Qualifications, Knowledge, Key Skills and Experience Significant backend development experience in production systems (Python, Go, Java, or similar) Strong expertise in designing and implementing microservices and APIs (REST, GraphQL, gRPC) Experience with container orchestration (Docker, Kubernetes) and CI/CD tooling Familiarity with distributed More ❯

manage multiple tasks in a fast-paced environment PREFERRED QUALIFICATIONS Experience with AWS and/or other cloud platforms like Azure or GCP Programming/scripting skills in Java, Python, Perl, Ruby, C#, PHP Previous roles as Software Engineer, Developer, Solution Architect, DevOps Engineer, etc. Knowledge of DevOps practices and tools such as CI/CD, Puppet, Docker, Kubernetes, Chef More ❯

Infrastructure-as-code tools (such as Ansible, Terraform, etc.) is mandatory. Experience in creating automation frameworks using Ansible. Strong in one or two scripting and programming languages (such as Python/Perl, Groovy, Shell). Knowledge of SCM branch strategies using Git. Experience with unit testing and automated testing tools (such as ReadyAPI, Cucumber, etc.). Familiarity with microservices architecture More ❯

experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark, and ideally DAX Familiarity with CI/CD, Git, and modern DevOps practices (preferably in Azure DevOps) Excellent communication skills — able to clearly explain technical concepts to both technical More ❯

GitLab CI, Azure DevOps). Excellent communication and stakeholder management skills. Bonus Points for: Previous experience in a consultancy environment . Hands-on coding experience in additional languages like Python, Ruby, Scala, PHP, or C++ . Knowledge of performance testing tools like JMeter, Gatling, K6 or Neoload. What’s in It for You? At Ten10, we believe in recognizing and More ❯

operationalisation. Experience/Skill Sets: Demonstrable experience in data science, showing strong expertise in data processing, advanced analytics, and model development. Expertise in SQL and statistical programming languages (e.g., Python, R), coupled with a deep understanding of data modelling principles. Mastery of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and their application in complex problem domains. Extensive experience with More ❯

be useful. Desirable/bonus skills and experience: Some interest in learning and using automation tools such as Azure DevOps, Terraform, Node-Red, Packer. Scripting and automation skills (PowerShell, Python, Bash, or similar). Ability to design, implement, and maintain CI/CD pipelines for infrastructure automation. Some experience managing cloud environments (Azure, AWS). This is an exciting new More ❯

Spark, Hadoop, Databricks and Snowflake Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) i.e. Java or Python Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle More ❯

and raise alarms for sites and customers 3+ years of experience involving data analytics, machine learning models and AI principles and application in implementation and practical delivery. Experienced in Python development and tooling including Pandas, Scikit-learn or equivalent. A third level qualification in Computer Science, Software Engineering, Data Science or other related discipline. Experience with data exploration and visualisation. More ❯

machine learning, deep learning and AI, particularly in LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in Python, PyTorch and/or Tensorflow, and popular data science libraries, as well as development skills with Docker, Linux, GitHub/Gitlab, GPUs, and cloud services. Exposure to knowledge graphs and More ❯

For: Degree in Computer Science, Software Engineering, or a related field. Professional level expertise in C++ development on Linux OS, with advanced knowledge of C++ required; experience with C, Python, or C# is advantageous. Proven experience in embedded software development, from concept to deployment. Strong understanding of software architecture, design patterns, and system modelling. Experience with real-time operating systems More ❯

diagnose faults and remedy under time pressure. Additional beneficial skills or experience: Experience with stream processing (Kafka, Flink). Experience with dbt, Snowflake, Airflow. Experience with other programming languages Python, Java, Scala, F#. Kubernetes/OpenShift/Docker, helm templates. PERKS & BENEFITS Annual Discretionary Bonuses. Annual Training Allowance. Pension Scheme. Charity Donation Matching. Complimentary breakfast and lunch. Health and Life More ❯

tests using SQL Ability to make informed build-or-buy decisions by evaluating technical trade-offs, integration complexity, long-term maintenance, and business impact Expert-level coding skills in Python, Scala, Java, or similar languages, with deep hands-on experience in ML frameworks (e.g., TensorFlow, PyTorch) and distributed data systems (e.g., Spark, BigQuery) Effective communicator and technical collaborator who proactively More ❯

7. Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g. More ❯

to the technical code and design documentation. Conduct solid analysis and problem solving to provide production support and L3 cover Required qualifications, capabilities, and skills Very strong experience in Python Strong knowledge of security and authentication (e.g. OIDC, OAUTH) Strong knowledge of algorithms and data structures Knowledge of Unix Shell scripting & SQL Expertise in software design using hexagonal architecture and More ❯

to work in an Agile environment Experience with Microsoft SQL. Experience with ETL Tools and Data Migration. Experience with Data Analysis, Data mapping and UML. Experience with programming languages (Python, Ruby, C++, PHP, etc). The ability to work with large datasets across multiple platforms with confidence. A systematic and analytical approach to problem solving with the ability to communicate More ❯

experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark, and ideally DAX Familiarity with CI/CD, Git, and modern DevOps practices (preferably in Azure DevOps) Excellent communication skills — able to clearly explain technical concepts to both technical More ❯

entrepreneurial spirit with an eagerness to quickly learn and develop new skills. Competent in the following areas: problem solving, customer-focus, communication, collaboration and punctuality. Technical Skills: Knowledge of Python (desirable). Knowledge of Data Lakes & medallion architecture. Experience of data engineering using Microsoft Fabric or Databricks Experience of MS Azure Platform Proficiency in the following technical areas: (Fabric Power More ❯

years previous experience Be a graduate or of graduate calibre, will have a technology background, and hold a formal project management qualification. Technical proficiencies: .NET stack, C#, Python, React, Angular, SQL Experience in CI/CD pipelines, GitHub projects, GitHub Enterprise Server, Azure DevOps, container technologies (Docker, Kubernetes etc.,) and API gateway Proven track record of managing and delivering projects More ❯

fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow and financial-specific platforms like Bloomberg Terminal, SAS, or MATLAB Experience with structured More ❯

fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow and financial-specific platforms like Bloomberg Terminal, SAS, or MATLAB Experience with structured More ❯