201 to 225 of 2,254 Remote Python Jobs

Expertise in containerization and Kubernetes • In-depth knowledge of AWS services (EKS, EC2, Lambda, RDS, S3) • Strong experience of workflow managers (Airflow) • Strong experience with AWS and proficiency in Python, BASH, and IaC tools like Terraform • Strong experience with relational and cloud-based databases • Strong experience in building automation tools and CI/CD/CT pipelines using platforms like 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 ❯

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 ❯

developing and supporting mission critical systems that operate on a 24x7 basis. Experience developing analytical reports from large data sets. Technical Skills: Strong scripting abilities in languages such as Python and Bash and C# a plus. Experience with protocols such as FIX, REST, SFTP, MQ and WebSocket APIs. Familiarity with SQL and relational databases. Experience with Windows/Linux operating 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 ❯

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 ❯

levels of expertise. Knowledge and understanding of software development life cycle (SDLC). Proficient with integrating complex and/or existing systems. Knowledge of programming languages (e.g. JavaScript, C, Python, etc.). System One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients 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 ❯

Strong working knowledge of modern ML frameworks (e.g., XGBoost, Scikit-learn, TensorFlow) and experience applying them to real-world problems. Proficiency in writing clean, maintainable, and efficient code in Python and SQL. Solid understanding of software engineering principles, including version control (Git), testing, CI/CD pipelines, and containerization (Docker/Kubernetes). Team overview The team sits within Sky More ❯

Spark, Kafka, Cassandra, or Elasticsearch. Familiarity with modern data practices such as data lakes, data warehousing, and large-scale batch/streaming pipelines. Comfortable writing automation and platform tooling (Python, Bash, Go, etc.), including scripts and services to support data engineering workflows. Experience with CI/CD and Infrastructure-as-Code (Terraform, CloudFormation, Ansible, etc.). Comfortable working in a More ❯

or Katalon . Proficiency in performance testing tools like JMeter, Gatling, K6, Neoload, or Webload . Strong coding skills in at least one language such as Java, TypeScript JavaScript, Python, C#, , Scala, or PHP. Experience designing and building automation frameworks . Familiarity with Agile development environments (SCRUM, Kanban, TDD, BDD). Implementing pipelines using common tooling such as Jenkins, ADO More ❯

the estimated effort and technical implications of user stories and user journeys.• Coaching and mentoring team members.MINIMUM (ESSENTIAL) REQUIREMENTS:• Strong software development experience in one of Java, Scala, or Python• Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.• Experience of developing substantial components for large-scale data processing solutions and deploying into a More ❯

Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile development environment Data architecture experience. More ❯

Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile development environment Data architecture experience. More ❯

Microsoft SQL Server, Oracle, SQLite). Awareness of cloud data analytics platforms (e.g. Microsoft Fabric, Google Cloud Platform, Databricks etc.) Experience with at least one programming language such as Python, Java, or Scala. Familiarity with ETL frameworks and tools Expertise in data modelling, data warehousing concepts, and techniques. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and More ❯

on experience with AWS Cloud-native data platforms, including: AWS Glue, Lambda, Step Functions, Athena, Redshift, S3, CloudWatch AWS SDKs, Boto3, and serverless architecture patterns Strong programming skills in Python and Apache Spark Proven experience in Snowflake data engineering, including: Snowflake SQL, Snowpipe, Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns More ❯

on experience with AWS Cloud-native data platforms, including: AWS Glue, Lambda, Step Functions, Athena, Redshift, S3, CloudWatch AWS SDKs, Boto3, and serverless architecture patterns Strong programming skills in Python and Apache Spark Proven experience in Snowflake data engineering, including: Snowflake SQL, Snowpipe, Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns More ❯

solver, able to find patterns and trends in data and support incidents. Determined, persistent, and proactive, a self-starter keen to understand, analyze, and improve. Additional Skills Experience with Python for data automation and manipulation. Familiarity with Azure Data Factory and ETL methodology for orchestrating data workflows. Knowledge of Synapse Analytics for advanced data processing. Experience with Power BI for More ❯

solving and communication skills, with the ability to work effectively in collaborative teams. Exposure to agile delivery methods. Experience with other development languages or frameworks such as JavaScript, Java, Python, or .NET – or a strong willingness to learn and adapt to new technologies as required. Qualifications & Certifications Salesforce Platform Developer I – Required Salesforce Platform Developer II – Desirable Other Salesforce certifications More ❯

solving and communication skills, with the ability to work effectively in collaborative teams. Exposure to agile delivery methods. Experience with other development languages or frameworks such as JavaScript, Java, Python, or .NET - or a strong willingness to learn and adapt to new technologies as required. Qualifications & Certifications Salesforce Platform Developer I - Required Salesforce Platform Developer II - Desirable Other Salesforce certifications More ❯

Terraform, and other DevOps tools for source control, code reviews, and CI/CD pipeline implementation. Proficiency in programming and Scripting languages such as SQL, PL/SQL, Java, Python, and Shell Scripting. We are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to one of our UK roles under More ❯

related discipline 10+ years of experience in data science, machine learning, or applied AI, with a strong portfolio of high-impact projects in production Expert-level programming skills in Python and SQL, and fluency with leading ML/AI frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Direct experience with GenAI/LLM technologies, including tools like Hugging Face, LangChain, OpenAI APIs More ❯