76 to 100 of 1,375 Remote Python Jobs

Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is More ❯

reviews, and recommend improvements where appropriate Your key skills: Hands-on experience with Cloud Architecture Design and/or Cloud Architectural Patterns for Development Programming languages, such as C#, Python, Perl, Java, C++ CICD tools such as Azure DevOps, GitHub Actions, Gitlab, Jenkins, TeamCity Scripting languages such as PowerShell, bash Observability/Monitoring: Prometheus, Grafana, Splunk Containerisation tools such as More ❯

Science, Statistics, Mathematics, or related field 7+ years of experience in data science or related field, plus additional 3+ years' experience in a complimentary function Strong programming skills in Python, SCALA, and/or UNIX shell scripting Expertise in machine learning techniques and statistical analysis Proficiency in SQL and NoSQL databases Experience with big data platforms such as Hadoop, Spark More ❯

Computer Science, Engineering or related field OR related practical experience 5+ years of experience in a software engineering role (Infrastructure or Application) 5+ years in a programming language (Java, Python, Go desired) 2+ years of hands-on experience managing the full lifecycle of cloud service modules for GCP-based platforms (e.g., Vertex AI, BigQuery, Dataflow, Composer, Dataproc, Dataplex, Looker). More ❯

Computer Science, Engineering or related field OR related practical experience 5+ years of experience in a software engineering role (Infrastructure or Application) 5+ years in a programming language (Java, Python, Go desired) 2+ years of hands-on experience managing the full lifecycle of cloud service modules for GCP-based platforms (e.g., Vertex AI, BigQuery, Dataflow, Composer, Dataproc, Dataplex, Looker). More ❯

Hands-on experience with observability and infrastructure-as-code tools such as Prometheus , Grafana , Splunk , AppDynamics , Terraform , CloudFormation , Jenkins , and GitHub Actions . Strong programming and scripting skills in Python , Java , Go , or similar, with a focus on building internal tools and automation pipelines. Advanced understanding of distributed systems, cloud computing (AWS, Azure, or GCP), networking, load balancing, and application More ❯

Hands-on experience with observability and infrastructure-as-code tools such as Prometheus , Grafana , Splunk , AppDynamics , Terraform , CloudFormation , Jenkins , and GitHub Actions . Strong programming and scripting skills in Python , Java , Go , or similar, with a focus on building internal tools and automation pipelines. Advanced understanding of distributed systems, cloud computing (AWS, Azure, or GCP), networking, load balancing, and application More ❯

Engineering, or a related technical field. • Minimum of 2 years of experience in software quality assurance and/or test automation. • Proficiency in scripting/programming languages such as Python, Java, JavaScript, or SQL. • Hands-on experience with automated testing tools such as Playwright (preferred), Selenium, Cypress, or Robot Framework. • Strong background in testing enterprise web applications and REST APIs. More ❯

Java 17+ (preferably 21), Spring Boot Jenkins, GIT and CI/CD Jira and Confluence Monitoring/alerting tools and solutions Scripting or coding with shell/bash, and Python Standard SQL query language and PLSQL Agile principles and ways of working Excellent client-facing communication skills DevOps mindset Excellent problem-solving abilities Automation Core AWS Services & Infrastructure as Code More ❯

tools (ADF, SHIR, LogicApps, ADLS Gen2, Blob Storage) and Snowflake 3+ years of experience in ETL development using on-premises databases and ETL technologies 3+ years of experience with Python or other scripting languages for data processing 2+ years of experience with development in Databricks for data engineering and analytics workloads Proficiency in DevOps and CI/CD practices using More ❯

may be substituted for each year of required education. Relevant certifications may be substituted for education or years of experience Experience with Golang, Kotlin/Java, and/or Python Experience creating containerized applications (docker) Experience deploying containerized applications to an orchestration platform (Marathon/Mesos, Kubernetes, etc.) Experience working independently to solve complex problems Excellent communication and collaboration abilities More ❯

latest ML research and tooling, and evaluate their applicability to our use cases. Required Qualifications Experience in machine learning engineering or applied data science roles. Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn. Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and More ❯

latest ML research and tooling, and evaluate their applicability to our use cases. Required Qualifications Experience in machine learning engineering or applied data science roles. Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn. Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and More ❯

latest ML research and tooling, and evaluate their applicability to our use cases. Required Qualifications Experience in machine learning engineering or applied data science roles. Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn. Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and More ❯

or Bicep. Experience with CI/CD tools such as Azure DevOps, Jenkins, or GitHub Actions. Knowledge of containerization technologies (Docker, Kubernetes) and orchestration. Familiarity with scripting languages (PowerShell, Python, Bash) for automation tasks. Understanding of cloud security best practices and compliance frameworks, particularly in classified settings. Experience working in the UK defence industry and familiarity with classified environments. Desirable More ❯

business problems. Ability to derive meaningful insights from structured and unstructured datasets of varying sizes. Track record of implementing impactful models that drive sustained business results. Proficiency in the Python data science tech stack (pandas, scikit-learn, NumPy, and visualisation libraries) Experience working in a Linux-based cloud environment (e.g. GCP, Azure, AWS). Experience using git version control. Communication More ❯

Proficient in configuration management tools such as Ansible or Puppet. Experience with application and OS deployment, scaling, and management. Ability to develop in multiple programming languages such as Bash, Python, or Go. Familiarity with Git and development tools, including deployment pipelines. Understanding of AGILE software development methodologies and use of standard software development tool suites. Preferred Skills and Experience: Experience More ❯

practices Troubleshoot and resolve DevOps-related issues Skills Needed 3+ years of experience in DevOps engineering Strong knowledge of DevOps tools (Jenkins, Docker, Kubernetes, etc.) Experience with scripting languages (Python, Bash, etc.) Strong understanding of agile development methodologies Experience with cloud computing platforms (AWS, Azure, Google Cloud) Strong understanding of networking fundamentals (TCP/IP, DNS, etc.) Excellent problem-solving More ❯

VPNs). Experience with cloud platforms (AWS/Azure) in secure environments. Proficiency in DevOps tools (Terraform, Ansible, Jenkins, GitLab CI/CD, Kubernetes, Docker). Scripting knowledge (e.g. Python, Bash, PowerShell). Previous experience in defence, government, or secure environments. Desirable Skills Industry-recognised network certifications (e.g. CCNA, CCNP, JNCIP, CompTIA Network+). Exposure to security frameworks (ISO27001, NIST More ❯

be eligible for SC Clearance and be willing to become DV Cleared The ideal Platform Engineer will have experience in: Programming in one or more of: JavaScript, Java, .Net, Python Designing and building Proof of Concept or Production systems collaboratively Using version control systems (e.g. Git, Mercurial, Perforce) Working with CI/CD tools (e.g. Bamboo, Jenkins, TeamCity, Bitbucket) to More ❯

TensorFlow, Hugging Face Transformers Bio-AI Tools: AlphaFold, RoseTTAFold, BioBERT, DeepCell, Cellpose Data Sources: Genomic datasets, microscopy images, biomedical literature Cloud & DevOps: AWS/GCP, Docker, Kubernetes, MLflow Languages: Python (essential), SQL, Bash Ideal Candidate Profile: 4+ years of experience in machine learning, with at least 2 years in biotech, healthcare, or life sciences Strong understanding of biological data types More ❯

Terraform knowledge for infrastructure as code Solid grasp of CI/CD pipelines and DevOps best practices Experience with Docker, AKS and Helm Proficiency in scripting (PowerShell, Bash or Python) Awareness of monitoring tools across Azure (Log Analytics, App Insights etc.) Understanding of cloud networking, identity, and security Excellent problem-solving and communication skills Practical bits: Hybrid working typically More ❯

Terraform knowledge for infrastructure as code Solid grasp of CI/CD pipelines and DevOps best practices Experience with Docker, AKS and Helm Proficiency in scripting (PowerShell, Bash or Python) Awareness of monitoring tools across Azure (Log Analytics, App Insights etc.) Understanding of cloud networking, identity, and security Excellent problem-solving and communication skills Practical bits: Hybrid working – typically More ❯

a related field; or equivalent experience. • 5+ years of hands-on experience with the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats). • Proficiency in Linux systems administration and scripting (Bash, Python, etc.). • Experience with secure data ingestion and log management in enterprise or federal environments. • Understanding of network protocols, firewalls, and data security principles. • Familiarity with cloud platforms such as More ❯

Maven, SonarQube Proven track record designing and implementing CI/CD pipelines Strong knowledge of AWS networking: VPCs, subnets, routing, security groups, load balancing, Route 53 Proficiency in scripting (Python, Bash, or PowerShell) for automation Version control expertise with Git (GitHub/GitLab) Incident response, debugging, and root cause analysis in cloud environments Excellent communication and collaboration skills Desirable Skills More ❯