726 to 750 of 6,985 Permanent Python Jobs

Skills & Experience Expert in Azure Databricks (Unity Catalog, DLT, cluster management). Strong experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs. Proficient in Python, Scala, C#, .NET, and SQL (T-SQL). Skilled in data modelling, quality, and metadata management. Experience with CI/CD and Infrastructure as Code using Azure DevOps and Terraform. More ❯

Skills & Experience Expert in Azure Databricks (Unity Catalog, DLT, cluster management). Strong experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs. Proficient in Python, Scala, C#, .NET, and SQL (T-SQL). Skilled in data modelling, quality, and metadata management. Experience with CI/CD and Infrastructure as Code using Azure DevOps and Terraform. More ❯

or mission-critical systems. Proficiency in scripting and systems programming. Hands-on experience with configuration management, containerisation, and orchestration tools. Tech Stack + Tools: Programming & Scripting: Strong proficiency in Python (core requirement), with additional experience using T-SQL and Bash. Infrastructure & Systems: Exposure to Linux and Windows environments, with working knowledge of Docker containers and AWS cloud services. Monitoring & Observability More ❯

or mission-critical systems. Proficiency in scripting and systems programming. Hands-on experience with configuration management, containerisation, and orchestration tools. Tech Stack + Tools: Programming & Scripting: Strong proficiency in Python (core requirement), with additional experience using T-SQL and Bash. Infrastructure & Systems: Exposure to Linux and Windows environments, with working knowledge of Docker containers and AWS cloud services. Monitoring & Observability More ❯

administration in cloud or virtualised environments. Basic understanding of networking concepts such as VPCs, subnets, routing, firewalls, and VPNs. Familiarity with CI/CD pipelines Exposure to scripting languages (Python, Bash, PowerShell) for automation tasks. Understanding of monitoring and logging tools (CloudWatch, Azure Monitor, Stackdriver, or similar). Experience working collaboratively in Agile or DevOps environments (advantageous). Relevant cloud More ❯

and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise in CI/CD tools : Google Cloud Build, Jenkins, GitHub Actions. Proven experience with Terraform and More ❯

Server administration MySQL server administration & SQL skills Proxmox VE & cluster administration (incl. PBS) OPNsense/pfSense firewall management VPN configuration (OpenVPN, WireGuard) Authentik (SSO/identity management) Docker containerization Python scripting for automation Git version control Desirable (Future-Facing Skills): Infrastructure as Code (Terraform, Pulumi, Ansible) Container orchestration (Kubernetes) Go development for microservice utilities Modern observability tools (Prometheus, Grafana, Datadog More ❯

warehousing: BigQuery or similar Workflow orchestration: Airflow Infrastructure as Code: Terraform Cloud Platforms: Google Cloud Platform (GCP) or Amazon Web Services (AWS) Strong software engineering fundamentals, including proficiency in Python, SQL, and DevOps practices. Proven ability to work in a fast-paced, agile environment with a focus on delivering outcomes. What We Offer: A competitive salary and equity package. Comprehensive More ❯

warehousing: BigQuery or similar Workflow orchestration: Airflow Infrastructure as Code: Terraform Cloud Platforms: Google Cloud Platform (GCP) or Amazon Web Services (AWS) Strong software engineering fundamentals, including proficiency in Python, SQL, and DevOps practices. Proven ability to work in a fast-paced, agile environment with a focus on delivering outcomes. What We Offer: A competitive salary and equity package. Comprehensive More ❯

Computer Science, or related field. 5+ years of experience in data science roles, with proven expertise in: Machine learning (supervised/unsupervised), time series forecasting, deep learning. Programming in Python and SQL; proficiency with ML frameworks (TensorFlow, PyTorch, scikit-learn). Big data technologies and cloud platforms (AWS, Azure, or GCP). Track record of deploying models into production and More ❯

Computer Science, or related field. 5+ years of experience in data science roles, with proven expertise in: Machine learning (supervised/unsupervised), time series forecasting, deep learning. Programming in Python and SQL; proficiency with ML frameworks (TensorFlow, PyTorch, scikit-learn). Big data technologies and cloud platforms (AWS, Azure, or GCP). Track record of deploying models into production and More ❯

premises. Experience testing APIs, services, and integration points , not just front-end UI. Strong analytical mindset and attention to detail - you spot issues others miss. Bonus: experience with scripting (Python, Bash, PowerShell) or IaC validation (Terraform, Ansible). What We Offer Competitive salary of £45,000 Hybrid working model - flexibility to split time between home and our London office Supportive More ❯

premises. Experience testing APIs, services, and integration points , not just front-end UI. Strong analytical mindset and attention to detail — you spot issues others miss. Bonus: experience with scripting (Python, Bash, PowerShell) or IaC validation (Terraform, Ansible). What We Offer Competitive salary of £45,000 Hybrid working model – flexibility to split time between home and our London office Supportive More ❯

premises. Experience testing APIs, services, and integration points , not just front-end UI. Strong analytical mindset and attention to detail — you spot issues others miss. Bonus: experience with scripting (Python, Bash, PowerShell) or IaC validation (Terraform, Ansible). What We Offer Competitive salary of £45,000 Hybrid working model – flexibility to split time between home and our London office Supportive More ❯

Azure DevOps CI/CD pipelines for secure and efficient software delivery. Deploy microservices using AWS ECS, ECR, and Fargate, ensuring secure and scalable architecture. Development & Containerization: Proficiency in Python and Node.js for developing secure, scalable applications. Hands-on experience with Docker for containerizing applications and managing secure container environments. API Management & Analytics: Strong knowledge of Apigee or similar API More ❯

Azure DevOps CI/CD pipelines for secure and efficient software delivery. Deploy microservices using AWS ECS, ECR, and Fargate, ensuring secure and scalable architecture. Development & Containerization: Proficiency in Python and Node.js for developing secure, scalable applications. Hands-on experience with Docker for containerizing applications and managing secure container environments. API Management & Analytics: Strong knowledge of Apigee or similar API More ❯

data generation, and prompt engineering. Mandatory Skills: Cloud Platforms:Deep experience with AWS (S3, Lambda, Glue, Redshift) and/or Azure (Data Lake, Synapse). Programming & Scripting:Proficiency in Python, SQL, PySpark etc. ETL/ELT & Streaming:Expertise in technologies like Apache Airflow, Glue, Kafka, Informatica, EventBridge etc. Industrial Data Integration:Familiarity with OT data schema originating from OSIsoft PI More ❯

with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI, CircleCI, or AWS CodePipeline). Solid understanding of containerisation (Docker, ECS, or Kubernetes). Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system security. Experience with monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog). Desirable Skills Exposure to infrastructure More ❯

with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI, CircleCI, or AWS CodePipeline). Solid understanding of containerisation (Docker, ECS, or Kubernetes). Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system security. Experience with monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog). Desirable Skills Exposure to infrastructure More ❯

Experience Proven experience designing and implementing cloud-based solutions (Azure, AWS, or GCP). Strong grasp of architecture principles, automation tools, containerisation, and DevOps . Hands-on experience with Python, Java, or scripting languages . Deep understanding of security and compliance frameworks in complex environments. Ability to translate complex technical concepts into clear, actionable insights for stakeholders. Excellent problem-solving More ❯

You’ll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion More ❯

CI/CD pipelines and tools (e.g., GitLab CI, GitHub Actions, Jenkins, AWS CodePipeline). Experience with Linux administration , networking concepts, and IAM-based access control. Strong scripting ability (Python, Bash, or PowerShell). Knowledge of monitoring tools (CloudWatch, Prometheus, Grafana, etc.). Desirable Skills: Experience working in public sector, defence, or other secure environments. Exposure to containerisation technologies (Docker More ❯

CI/CD pipelines and tools (e.g., GitLab CI, GitHub Actions, Jenkins, AWS CodePipeline). Experience with Linux administration , networking concepts, and IAM-based access control. Strong scripting ability (Python, Bash, or PowerShell). Knowledge of monitoring tools (CloudWatch, Prometheus, Grafana, etc.). Desirable Skills: Experience working in public sector, defence, or other secure environments. Exposure to containerisation technologies (Docker More ❯

infrastructure through on-call rotations and incident response. Ideal Candidate Profile 8+ years of professional software engineering experience, with at least 3 years focused on backend AI systems. Strong Python skills and deep familiarity with ML libraries and frameworks. Experience designing and deploying knowledge graphs and working with graph databases (e.g. Neo4j, Amazon Neptune). Proficient in both SQL and More ❯

security components You have a strong knowledge of Linux and Virtualisation, VMWare You have experience with Infrastructure as Code tools such as Terraform or CloudFormation You can code with Python or Golang for automation You have a strong knowledge of cloud security best practices, CI/CD pipelines and DevOps practices You have experience of mentoring and providing technical leadership More ❯