1,026 to 1,050 of 6,962 Permanent Python Jobs

and adoption of emerging Gen AI frameworks. What You Bring Must-Have Skills Proven experience designing and deploying Gen AI systems using LLMs, transformers, and neural networks Expert-level Python; strong in R, Java, or C++ Hands-on with TensorFlow, PyTorch, Keras, Hugging Face, LangChain Cloud-native mindset: AWS, Azure, GCP + Docker, Kubernetes, CI/CD Deep understanding of More ❯

and grow your expertise in ML, AI, and GenAI tools. Key Skills and Experience: 1-3 years of relevant experience delivering parts of the data science lifecycle. Proficiency in Python (or R), SQL, and experience with notebooks, Git workflows, and Power BI. Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design. Exposure to More ❯

and deployment practices. Producing clear technical documentation for workflows, architectures, and configurations. Main Skills Needed: 5+ years of experience as a Data Engineer, ideally with Microsoft Fabric. Proficiency in Python, T-SQL, Power Query, and KQL. Solid knowledge of Azure DevOps and CI/CD best practices. Experience with secure multi-tenant data architectures (RLS and TLS). Familiar with More ❯

and deployment practices. Producing clear technical documentation for workflows, architectures, and configurations. Main Skills Needed: 5+ years of experience as a Data Engineer, ideally with Microsoft Fabric. Proficiency in Python, T-SQL, Power Query, and KQL. Solid knowledge of Azure DevOps and CI/CD best practices. Experience with secure multi-tenant data architectures (RLS and TLS). Familiar with More ❯

Filesystem management(LVM, ext4, XFS, ZFS) Performance tuning and monitoring(top, vmstat, iostat, sar, netstat) Exposure to automation software such as Ansible/Puppet Knowledge of scripting with Bash, Python, and/or Git Experience of AWS Automation tools(Ansible, Puppet, Chef) Virtualization and containers(KVM, VMware, Docker, Podman) What we will do for you: Competitive compensation Pension scheme DXC More ❯

Natural problem-solver with curiosity, creativity, and attention to detail Proven experience in mentoring or coaching others Comfortable managing multiple projects with a flexible approach Desirable Skills Experience with Python or R What's On Offer 36.25 hours per week The opportunity to shape data analytics capability within a growing team Work that makes a real difference to communities A More ❯

engineering standards and best practices across the team. What You'll Need to Succeed Proven experience delivering cloud-based data engineering solutions, ideally with Snowflake. Strong proficiency in SQL, Python, and dbt for transformations and pipeline automation. Practical experience with Snowflake features and RBAC management. Familiarity with ingestion tools (Airbyte, Fivetran, Hevo) and cloud services (AWS preferred). Solid understanding More ❯

experience in data analysis and visualisation, particularly using Power BI, Excel, and SQL. Hands-on knowledge of predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience with cloud-based data environments like Microsoft Azure, AWS, or Google Cloud. Confidence in working with large, complex data sets, including data cleansing, transformation More ❯

experience in data analysis and visualisation, particularly using Power BI, Excel, and SQL. Hands-on knowledge of predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience with cloud-based data environments like Microsoft Azure, AWS, or Google Cloud. Confidence in working with large, complex data sets, including data cleansing, transformation More ❯

on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. More ❯

solving Proven experience in data engineering and ML engineering pipelines, and technologies as well as with cloud platforms (Azure, AWS or GCP), ideally across data & AI stacks Proficiency in Python and SQL; additional experience with other languages is a plus Experience working with tools and frameworks such as Spark, Kafka, Airflow, MLflow, TensorFlow, PyTorch, Scikit-learn, etc. Excellent communication and More ❯

Familiarity with managing cloud-based services (ideally Azure), including observability, monitoring, scaling, and security Hands-on use of observability tools such as Datadog (or similar) Knowledge of automation, scripting (Python or PowerShell), and Infrastructure as Code (e.g., Terraform, Pulumi, ARM Templates, or Bicep) Experience with Azure DevOps Pipelines (or similar) Strong interpersonal, verbal, and written communication skills Ability to coach More ❯

solving Proven experience in data engineering and ML engineering pipelines, and technologies as well as with cloud platforms (Azure, AWS or GCP), ideally across data & AI stacks Proficiency in Python and SQL; additional experience with other languages is a plus Experience working with tools and frameworks such as Spark, Kafka, Airflow, MLflow, TensorFlow, PyTorch, Scikit-learn, etc. Excellent communication and More ❯

such as Microsoft Sentinel, Splunk, Defender, CrowdStrike or Elastic • Proven ability to build and tune detection rules, dashboards and automation playbooks • Knowledge of scripting or automation using KQL, PowerShell, Python or similar • Familiarity with log management, APIs and data normalisation • Understanding of cloud security across Azure, AWS and M365 • Strong grasp of network, system and identity security fundamentals • Analytical mindset More ❯

Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric ? What We're Looking For Experience 5-8+ years of Data Engineering with 2-3+ More ❯

Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric What We're Looking For Experience 5-8+ years of Data Engineering with 2-3+ More ❯

Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric What We're Looking For Experience Significant commercial experience of Data Engineering with years delivering production workloads More ❯

comfortable engaging with customers and internal stakeholders, driving technical delivery, and contributing ideas that shape our product roadmap. You’ll be great for this role if you: Have strong Python and machine learning engineering skills, with experience applying AI to real-world problems. Can (or want to learn to) build agentic AI systems that automate human processes. Understand (or are More ❯

in Salesforce API integration (REST, SOAP, Platform Events). Demonstrated experience in Agile and DevOps frameworks. Hands-on experience with infrastructure-as-code (IaC) and scripting languages such as Python or Shell. Experience with microservices architecture, integration/middleware, source control, CI/CD deployment, and security. Salesforce certifications such as Salesforce DevOps Specialist, Salesforce Administrator, or Salesforce Platform Developer. More ❯

in Salesforce API integration (REST, SOAP, Platform Events). Demonstrated experience in Agile and DevOps frameworks. Hands-on experience with infrastructure-as-code (IaC) and scripting languages such as Python or Shell. Experience with microservices architecture, integration/middleware, source control, CI/CD deployment, and security. Salesforce certifications such as Salesforce DevOps Specialist, Salesforce Administrator, or Salesforce Platform Developer. More ❯

from scratch. Solid understanding of build automation, version control systems, and release management. Familiarity with cloud environments (AWS, Azure, or GCP). Familiarity with scripting languages (e.g., Groovy, Shell, Python). Experience with containerization and orchestration tools (Docker, Kubernetes) is a plus. Strong troubleshooting and problem-solving skills. Excellent communication and collaboration abilities. DevOps skills, Bamboo, Bitbucket. Nice to have More ❯

required. Demonstrable experience in leading client data engineering and integration projects for major clients Hands-on experience of designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD More ❯

required. Demonstrable experience in leading client data engineering and integration projects for major clients Hands-on experience of designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD More ❯

innovations in QA. Lead PoCs for new tools, frameworks, and methodologies to improve QA capabilities These will help you stand out: 6 to 10 years of experience Language: Java, Python Test Automation Tools: Selenium, Playwright, TestNG, Appium, etc CI/CD Integration: Experience with Jenkins, GitLab CI, Azure DevOps, or similar platforms API Testing: Skills in Postman, REST Assured, SoapUI More ❯

innovations in QA. Lead PoCs for new tools, frameworks, and methodologies to improve QA capabilities These will help you stand out: 6 to 10 years of experience Language: Java, Python Test Automation Tools: Selenium, Playwright, TestNG, Appium, etc CI/CD Integration: Experience with Jenkins, GitLab CI, Azure DevOps, or similar platforms API Testing: Skills in Postman, REST Assured, SoapUI More ❯