651 to 675 of 24,468 Python Jobs in England

and Infrastructure-as-Code (e.g., Terraform, CloudFormation). Familiarity with modern data stack components (e.g., dbt, Snowflake, Airbyte). Experience working in an Agile/Scrum environment. Knowledge of Python or Java/Scala for data engineering. Experience with version control systems (eg Git, CVS). Applicants will be required to obtain SC and therefore 5 year's UK address More ❯

scheduling platforms Experience in cloud platforms (GCP preferred, but AWS or Azure accepted) Knowledge of applicable audit controls and applicability to IAM services architecture, design, and processes Proficiency in Python, Bash, Go, Perl, PowerShell, and Ruby are a plus Hands on experience with CyberArk and personal password managers are a plus Experience in working within an a Scaled Agile Framework More ❯

in a data science or machine learning-focused role. Technical Skills Expertise in designing and deploying ML algorithms, AutoML tools, and AI applications. Proficiency with programming languages such as Python and R, and ML libraries (TensorFlow, PyTorch, scikit-learn). Hands-on experience with cloud platforms (Azure ML) and big data ecosystems (e.g., Hadoop, Spark). Strong understanding of CI More ❯

performance. Continuously evaluate and adopt 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 in modern frontend technologies such More ❯

experience. OR Doctorate in a related field. OR equivalent experience. Minimum 3 years experience with databases, e.g., Kusto. Preferred Qualifications: Minimum 2 years experience in scripting languages (e.g., Bash, Python). Minimum 2 years experience with general-purpose programming languages (e.g., Go, Ruby). Minimum 3 years experience with cloud environments and/or CNCF concepts. Proficiency with machine learning More ❯

Architecture (associate or Professional) or DevOps Professional, or GCP equivalents. Terraform/OpenTofu Docker and Kubernetes, preferably with Certified Kubernetes Administrator (CKA) Ansible, Puppet or Chef Strong skills in Python and/or Golang Bash scripting CI/CD with GitHub Actions, CircleCI or Jenkins Database, at least one of each SQL (preferably PostgreSQL) and NoSQL Thorough understanding of networking More ❯

new applications using classes and modules CI/CD tools in production environment Experienced building Gitlab or Jenkins pipelines and ArgoCD or Flux Intermediate scripting languages, Bash – Golang - PowerShell – Python – Ruby Working with APIs Windows server administration Docker experience Knowledge in IP Networking Knowledge of Agile development methodologies Understanding of the IT/Network security challenge Certificates management, Encryption principles More ❯

large language models (LLMs) and prompt engineering. Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks. Strong programming skills in languages such as Python, R, or Java. Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras. Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying More ❯

degree in Computer Science, Mathematics, Physics, or a related field. Extensive experience in building machine learning models for tasks like recommendations, segmentation, forecasting, and optimising marketing spend. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, PyTorch, and more. Experience with A/B testing and other experimentation methods to validate model More ❯

systems capable of handling high loads. Excellent problem-solving and troubleshooting skills, combined with effective communication abilities to articulate technical concepts. Proficiency in at least one programming language (e.g., Python, Node.JS, Go) with a focus on automation and scripting. Strong Linux experience and sound understanding of core networking and best security principles. Hands-on experience designing and managing CI/ More ❯

MSc in Computer Science Minimum of 8 years of experience in backend and infrastructure development. At least 3 years of hands-on experience with one of the following languages: Python, Go, Rust, Java, C, C#, C++. Experience in large-scale production microservices environments and devops operations Deep understanding of distributed systems and microservices architectures. Proficiency with cloud platforms such as More ❯

large corporate environments. Infrastructure as Code (IaC) Tools & Methodologies: Proficiency with Ansible, Terraform, and PackerIO for provisioning and managing infrastructure. Scripting & Automation Scripting Languages: Familiarity with Bash, PowerShell, or Python to automate workflows and system tasks. Virtualization & Containerization Virtual Environments: Experience administering virtualized systems using VMWare or Docker. Container Platforms: Knowledge of Docker/Kubernetes, AWS, Azure, or OpenShift (PaaS More ❯

As a minimum to be 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, Istio & Helm. Cloud: GCP, GKE More ❯

lifecycle in production environments. • Solid experience with cloud-native architecture (AWS, GCP or Azure), containerisation (e.g. Docker, Kubernetes), and big data processing frameworks (e.g. Spark, BigQuery). • Expertise in Python and SQL, with working knowledge of ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Demonstrated ability to lead through ambiguity and complexity, making pragmatic and scalable technical decisions. • Excellent More ❯

security architecture and tools, including IAM, encryption, and WAF. Hands-on experience with designing and managing IAM policies, roles, and permissions in cloud environments. Proficiency in scripting or programming (Python, Go, or similar). Experience with container security tools (e.g., Kubernetes security, Docker). Experience with DevSecOps practices and tools (e.g., Terraform, Jenkins, Git). Preferred Qualifications: Certifications: Preferred certifications More ❯

or a related field with a strong focus on machine learning Professional Experience: 5+ years of hands-on experience deploying Computer Vision models in production environments Strong proficiency in Python Experience with cloud environments (AWS, GCP) and tools for ML model deployment (Docker, Kubernetes, etc.) Technical Skills: In-depth understanding of computer vision techniques, including image classification, detection, and segmentation More ❯

systems. 5+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Expertise with common Software Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages Experience with workflow orchestration tools such as Airflow Detailed problem-solving approach, coupled with a strong sense of More ❯

years of hands-on experience in a similar role, with a strong emphasis on systems engineering, automation, and service reliability Proficient in at least one programming language such as Python, Go, Java, or C#, along with scripting skills in Bash or PowerShell Solid grasp of cloud platforms like AWS, including an understanding of how core services like EC2, ECS, Lambda More ❯

roles; Strong proficiency with SQL and data modelling concepts; Experience with dbt or similar transformation frameworks; Hands-on experience with AWS data services (Redshift, S3, Glue, Lambda); Proficiency with Python for data processing and pipeline development; Experience with workflow orchestration tools like Airflow or similar; Knowledge of streaming data technologies such as Kafka; Familiarity with infrastructure-as-code tools (Terraform More ❯

knowledge of logging solutions and troubleshooting techniques, experience with Persistent Volumes and Persistent Volume Claims and Knowledge of dynamic provisioning and storage classes. 2+ years of scripting experience with Python, Bash, PowerShell and YAML 2+ years of programming experience with C, C++, , Java, or .net Strong experience in cloud service environments in AWS, Azure and GCP. Intermediate to advanced knowledge More ❯

Azure Platform, Azure Data Services, Databricks, Power BI, SQL DW, Snowflake, Big Query, and Advanced Analytics. Proven ability to understand low-level data engineering solutions and languages (Spark, MPP, Python, Delta, Parquet). Experience with Azure DevOps & CICD processes, software development lifecycle including infrastructure as code (Terraform). Understand data warehousing concepts, including dimensional modelling, star schema, data aggregation, and More ❯

learning, economics, or operations research 4+ years of professional data science experience, with a proven track record of translating business problems into data science solutions Proficiency and knowledge of: Python and R, SQL and NoSQL databases (e.g. MongoDB) and Deep understanding and hands-on experience with a variety of data science tools and concepts, such as machine learning, causal inference More ❯

in handling large volumes of data on SQL, NoSQL and Big Data databases Experience in Hadoop ecosystem: Hadoop, Spark, Hive, and/or Scala Experience in programming languages: PHP, Python, C Java Experience in Web development in Laravel MVC Framework Comfortable working in Shell scripting, AWS (cloud), Linux and Windows environment Experience in CI/CD automation with Ansible or More ❯

community of practice. Your Profile: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields (PhD a plus). Strong programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn). Experience with SQL for data querying and analysis. Solid understanding of machine learning algorithms, statistical methods, and predictive modeling. More ❯

Infrastructure-as-Code (IaC) (e.g., Terraform, Ansible) Experience with CI/CD pipelines (Jenkins, GitLab CI, ArgoCD) and source control management (Git) Strong scripting skills (e.g., Bash, Shell, PowerShell, Python) Experience in automating infrastructure deployment using IaC tools such as Terraform, CloudFormation, and ARM templates Experience with Agile methodologies and cloud governance models (Optional) Hands-on experience with Azure, and More ❯