351 to 375 of 13,823 Python Jobs in London

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 ❯

delivery. Extensive hands-on experience with GCP services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, and Cloud Composer. Strong programming and scripting skills in languages like Python, Bash, or Go to automate tasks and build necessary tools. Expertise in designing and optimising data pipelines using frameworks like Apache Airflow or equivalent. Demonstrated experience with real-time and 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 ❯

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 ❯

knowledge of hybrid cloud architectures and technologies (e.g., AWS, Azure, Google Cloud Platform) Experience with containerization technologies (e.g., Docker, Kubernetes) and microservices architectures Proficiency in scripting languages (e.g., Bash, Python, Perl) and automation tools (e.g., Ansible, Puppet, Chef) Solid understanding of network protocols, storage systems, and database technologies Familiarity with financial industry regulations and compliance requirements (e.g., PCI-DSS, SOX More ❯

Experience with big data technologies such as Hadoop, Spark, or Hive Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow Proficiency in Python and at least one other programming language such as Java, or Scala Willingness to mentor more junior members of the team Strong analytical and problem-solving skills with the ability More ❯

re comfortable with building CI/CD pipelines in e.g. TeamCity/Jenkins/Concourse. You have hands-on experience in one or more programming or scripting languages (e.g. Python, Golang, Bash, PowerShell, JavaScript, Java, C#), within an SCM environment (e.g. Bitbucket, GitHub). You have good networking skills, including knowledge of routing & switching protocols as well as DNS, firewalling More ❯

engagement initiatives. Governance & Compliance Apply robust security measures (RBAC, encryption) and ensure regulatory compliance (GDPR). Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory, Fabric), GCP (BigQuery, Dataflow). Data Modelling & Storage: Relational (PostgreSQL, SQL More ❯

Kubernetes, Mesosphere etc. • Configuration Management - Ansible, Chef, Puppet etc. • Cloud - AWS, Azure, GCP etc. • Monitoring - ELK, Prometheus, Splunk etc. • Experience in one of the following scripting language: Java, Bash, Python, Powershell, Golang, etc. • Experience working with Linux and/or Windows systems Job responsibilities About the role: • You will be responsible for leading client engagements and building out the practice More ❯

Join us on our journey and you will too... WHAT WE NEED YOU TO HAVE EXPERIENCE IN Coding Coding/scripting experience developed in a commercial/industry setting (Python, Java, Scala or Go, and SQL). Databases & frameworks Strong experience working with Kafka technologies. Working experience with operational data stores , data warehouse , big data technologies , and data lakes . More ❯

Knowledge of Infrastructure as Code (Terraform, CloudFormation, CDK, etc.). Familiarity with CI/CD tools (GitHub Actions, GitLab CI, or similar). Experience with scripting or programming languages (Python, Go, Bash, etc.). Understanding of networking, security principles, and best practices. Knowledge of observability tools such as Datadog, Prometheus, Grafana, etc. Desired Attributes Strong problem-solving skills with a More ❯

components. In-depth knowledge of cybersecurity, data privacy regulations, and compliance standards. In-depth knowledge of various AI methodologies and learning algorithms. Proven experience in various programming languages like Python, Java, React, C#, domain specific languages, native and cross platform development, etc. Soft Skills Excellent leadership, decision-making, and problem-solving skills. Strong communication and interpersonal abilities to align technical More ❯

business goals by working alongside product managers, developers, analysts, and QA. Clearly communicate model results and insights to stakeholders for data-driven decisions. Skills, Knowledge & Expertise Strong proficiency in Python and SQL for data manipulation and model development. Solid understanding of ML theory and practical application. Strong understanding of statistical concepts (e.g., hypothesis testing, sampling, probability distributions). Experience with More ❯

CSS3 and HTML5 and third-party libraries such as React Js, Angular, jQuery Minimum 5 years of experience working server-side programming languages such as Net, Java, Ruby and Python Minimum 5 years of experience in API development using web services and Service Oriented Architecture (SOA) methodologies. Minimum 5 years of experience in database technology, including SQLServer, Oracle, MongoDB and More ❯

field experience. Proven experience building and maintaining high-concurrency, high-performance, low-latency trading systems. Strong proficiency in development and architecture of Rust systems. Node.js (JavaScript/TypeScript) and Python are nice to have. Proficient in data-intensive systems. Proven experience with AWS, Docker Experience managing and leading engineering teams, with a focus on fostering collaboration and professional growth. Deep More ❯

Solid understanding of networking concepts. Solid understanding of security concepts. Experience with monitoring tools (Datadog, Stackdriver). Experience with at least one programming and/or scripting language (Go, Python or Bash). Skilledu00A0in presentation and documentation. Troubleshootingu00A0and analytical skills. Time and project management skills. u00A0 BONUS POINTS u00A0 Experience with databases (Snowflake, MariaDB, Galera, MySQL) Experience with infrastructure and More ❯

at scale Advanced troubleshooting skills with the ability to diagnose and resolve intricate technical issues in production environments Strong knowledge in at least one scripting/programming language (PowerShell, Python, Bash) with demonstrable complex automation implementations Experience designing and implementing robust monitoring solutions and advanced alerting strategies Strong background in cloud security principles and implementation of security controls in Azure More ❯

e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; C/C++ for computer vision, geometry processing, or scientific computing; software engineering concepts More ❯

data or machine learning pipelines, incl. deep learning, GenAI, LLM, etc. as well as hands-on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R, SQL, Java, Julia, Scala, Spark/Numpy/Pandas/scikit, JavaScript. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a More ❯