2,626 to 2,650 of 6,798 Permanent Python Jobs

of network architecture, including LAN, WAN, and common network devices (e.g., switches, routers). Hands-on experience with container management (Docker, Podman, Kubernetes). Proficient in shell scripting (Bash, Python) and automation tools (Ansible, Chef, PDQ). Strong troubleshooting skills in network and system performance, including issues related to latency, dropped packets, and firewall rules. Experience applying security best practices … and compliance tools to maintain a secure system environment Familiarity with Python and Bash scripting for automation or system management tasks Experience using Wireshark for network diagnostics Must possess a valid driver's license and successfully pass drug screening Clearance Requirements: Currently hold or be able to obtain and maintain the proper US DoD issued security clearance, which requires US More ❯

as we use data science for good. Join us. The world can't wait. You Have: 3+ years of experience in applied data science or ML roles, including using Python and NLP and LLM implementation 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining Experience with production-level systems, data lake environments, and … monitoring, and retraining pipelines Experience supporting platform components such as documents indexing or search, GPU workloads, and distributed storage, including Cloudera Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Security+ Certification More ❯

/SCI with CI Polygraph. Hands-on experience with TensorFlow. Experience working across a range of different ML Frameworks (PyTorch, Flux.jl, Sckikit-learn, Caffe, etc) Strong programming skills in Python and Java. Familiarity with AWS cloud environment. Experience working with large-scale data sets and developing data pipelines. Knowledge of cybersecurity concepts and their intersection with ML applications. Excellent problem More ❯

plans, implements policies and procedures Develop new interfaces for new instruments and systems in C, C#, .net and other object-oriented languages as well as experience in scripting languages Python, TCL, and Linux Enhance test case architecture for Bus and RF product testing Build software environment for testing in the factory and oversee smooth execution of testing This position is … computer science Experience working in full software development life-cycle Experience in software programming with C, C++, C#, .NET coding, debug and development Knowledge of shell scripting languages including Python Knowledge of verification requirements, verification plans and test procedures Preferred Qualifications (Desired Skills/Experience): Level 3: 3 or more years' related work experience or an equivalent combination of education More ❯

and be comfortable working at a research level solving problems and often rapidly learning on the job. They should also have a firm grasp of an OO language (Ideally Python) in which they are able to implement and test these data science related questions. Responsibilities Excellent communication skills. The role requires the discussion and explanation of complex data science concepts … of independence and alongside other contractors from other businesses. Professional conduct required at all times whilst working with the Client. Skilled in at least 1 object orientated language preferably (Python) Has familiarity with document store databases (Elastic Search) Familiarity with containerisation platforms (Docker) Understands the IP stack and different connection protocols. (DNS, SSL, TCP, UDP) Core knowledge of data science More ❯

as a security advisor or consultant for procurement and deployment of new security technologies. Experience with Security Orchestration, Automation and Response (SOAR) tools and technologies (e.g. Splunk Phantom, Ansible, Python, etc.) Splunk Phantom, Ansible, Python, etc. More ❯

and/or frameworks. 17. Develop and automate solutions to consume data from multiple data sources, including external API 18. Program and modify code in languages like Java, Json, Python, and Spark to support and implement Data Warehouse solutions. 19. Design and deploy enterprise-scale cloud infrastructure solutions. 20. Research, analyze, recommend and select technical approaches for solving difficult and … degree in a quantitative discipline such as Computer Science, Statistics, Mathematics or Engineering from an accredited institution required. Key Qualifications Strong knowledge and understanding in the following areas: - DevOps, Python or Java or Json, (HL7/FHIR is a plus) - Applicable data privacy practices and laws - common SDLC models (Waterfall, Agile - Scrum and Kanban) - Practice of DevOps - Non-relational database More ❯

Experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high- level language (e.g. Python , statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience More ❯

AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences - Proficiency in a wide … EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) and AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) - 3+ years of experience with automation and scripting (e.g., Terraform, Python), knowledge of security and compliance standards (e.g., HIPAA, GDPR), strong communication skills, infrastructure/database/networking experience, and experience working in software development Amazon is an equal opportunity employer More ❯

meaningful challenges through Agentic AI. Work on a modular, open-source Agentic AI framework - integrating GenAI and real-world tools. Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems. Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale. Co-own the evolution … in computer science, mathematics, AI, or a related field Hands-on Agentic AI/GenAI engineering exposure - building or contributing to frameworks, not just using APIs Strong programming fluency (Python) and architectural design (e.g., microservice ecosystems, message brokers) Plus, You Bring Ability to operate independently and collaborate within a high-trust, low-hierarchy team Contributions to academic/technical communities More ❯

4+ years of industry experience in related fields, including search, information retrieval, recommendation systems, applied machine learning, and NLP Excellent skills in delivering and communicating business value Proficient in Python, SQL, and the big data stack for end-to-end ML product development, with experience across the entire pipeline in typical recommendation systems or LLM-based solutions Strong grasp of … Solid understanding of ML evaluation methodologies and key IR metrics Passion for shipping high-quality products and a self-motivated drive to take ownership of tasks Tech Stack Core : Python, FastAPI, asyncio, Airflow, Luigi, PySpark, Docker, LangGraph Data Stores : Vector Databases, DynamoDB, AWS S3, AWS RDS Cloud & MLOps : AWS, Databricks, Ray ️ Unlimited vacation time - we strongly encourage all of our More ❯

and weekly pay - Comprehensive benefits: 401k, PTO, medical/dental/vision, life & disability insurance What You Bring: - 5+ years of software engineering experience (backend, API, or full-stack) - Python, Java, or C# expertise - Experience with REST APIs (FastAPI, AWS Lambda), OpenAPI, and data pipelines (dbt, Airflow, Spark, Iceberg) - Knowledge of FHIR, OMOP, HL7, CDA, and federal compliance frameworks Bonus More ❯

match. They are seeking a Data Scientist to join their team. Relevant skills/qualifications: -Bachelor's Degree -6+ years of relevant experience -Geospatial experience Desired: -Experience with Python, R, SQL, or SAS -Experience with Git -Experience with AWS Sagemaker -Experience with statistics, NLP, Markov-Chain modeling, Linear Algebra, or TensorFlow This opportunity is located in Springfield, VA and More ❯

value . Manage and monitor the cost, efficiency, and speed of data processing. Our Data Tech Stack Azure Cloud (SQL Server, Databricks, Cosmos DB, Blob Storage) ETL/ELT (Python, Spark, SQL) Messaging (Service Bus, Event Hub) DevOps (Azure DevOps, Github Actions, Terraform) Who you are A driven, ambitious individual who's looking to build their career at an exciting … Designing, building and maintaining robust and scalable data pipelines Proficiency in ELT and ETL processes and tools Ability to write efficient code for data extraction, transformation, and loading (eg. Python, Spark and SQL) Proficiency with cloud platforms (particularly Azure Databricks and SQL Server) Ability to work independently Ability to communicate complex technical concepts clearly to both technical and non-technical More ❯

wants to go deep and understand how these large systems work will get a chance to excel in this position. The candidate will be expected to code in either Python, Java, Ruby, or TypeScript. Amazon Web Service is building some of the largest distributed systems in the world. Amazon's database offerings like Aurora, DynamoDB, ElastiCache, EMR, RDS, and Redshift … or one of the following related disciplines: Site Reliability Engineering (SRE), Systems Engineering, Systems Administration, DevOps, Security Administration, or Network Administration - 3+ years programming or scripting language experience (Java, Python, Go, Ruby) in Linux or similar UNIX distribution with a good working knowledge of TCP/IP networking, architecture, and core technologies such as Load Balancing, DNS, DHCP, HTTP, and More ❯

hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka More ❯

hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka More ❯

you do as an intern at Expedition Technology? Learn & Develop: Delve into machine learning systems. Craft novel algorithms for applications in computer vision or digital signal processing Implement: Leverage Python to develop and train robust machine learning models, ensuring their efficacy in various tasks and scenarios Collaborate: Engage in data processing pipelines, training ML systems, analyzing outcomes, and tackling real … or graduate program with an anticipated graduation date of December 2026 or May/June 2027 Have an active US Government-issued Secret clearance Proficiency in modern programming languages (Python preferred) Familiarity with command line and version control (Git) experience Demonstrated interest in machine learning (courses, clubs, projects, etc.) Interest in working in defense and/or intelligence post-graduation More ❯

implementation patterns with long-term strategy Apply a product mindset to ensure platform solutions address real customer and business needs Deliver thought leadership and coding excellence across Java, React, Python, and other fit-for-purpose technologies Mentor and elevate engineers across teams through design reviews, pair programming, and sharing best practices Champion innovation in performance, tooling, and platform features, with … pipelines, and data lakes Hands-on experience with AI/ML production systems, including prompt-based LLM integrations Expert-level Java development skills, with a polyglot mindset (comfortable in Python, React, or other languages as needed) Proven experience working in multi-team, global environments with strong collaboration and communication skills Track record of delivering API-first infrastructures supporting high throughput More ❯

pipelines-into scalable platform services. Bring a product mindset to platform engineering, ensuring solutions are aligned with customer and business goals. Provide thought leadership across the fullstack (React, Java, Python), promoting clean, efficient, and maintainable code. Identify and drive opportunities for innovation-whether in development tooling, performance optimization, or new platform features. Act as a mentor to engineers across teams … data lakes, and streaming pipelines. Strong experience integrating AI/ML models into production systems, including prompt engineering for LLMs. Polyglot development capability, with hands-on experience in Java, Python, and modern frontend frameworks such as React. Comfort working in cloud-agnostic and hybrid environments. Familiar with CI/CD pipelines, GitOps practices, and releasing at speed. Strong communication skills More ❯

pipelines-into scalable platform services. Bring a product mindset to platform engineering, ensuring solutions are aligned with customer and business goals. Provide thought leadership across the fullstack (React, Java, Python), promoting clean, efficient, and maintainable code. Identify and drive opportunities for innovation-whether in development tooling, performance optimization, or new platform features. Act as a mentor to engineers across teams … data lakes, and streaming pipelines. Strong experience integrating AI/ML models into production systems, including prompt engineering for LLMs. Polyglot development capability, with hands-on experience in Java, Python, and modern frontend frameworks such as React. Comfort working in cloud-agnostic and hybrid environments. Familiar with CI/CD pipelines, GitOps practices, and releasing at speed. Strong communication skills More ❯

shaping roadmaps, communicating findings with clarity, mentoring junior team members, and collaborating closely with engineers, PMs and analysts to deliver measurable user and business impact. We work primarily in Python and SQL, with tools like Scikit-learn, Tensorflow, PyTorch and Pandas. Our ML stack runs on AWS and Sagemaker. We value clean, documented, well-tested and reviewed code-and have … junior data scientists, delegate tasks where appropriate, and help set technical direction Qualifications 5+ years of experience in applied data science, preferably in search, recommendations or user modelling Strong Python and SQL skills, with deep experience in data exploration, feature engineering and model evaluation Proven experience applying and comparing models for structured prediction, ranking, retrieval or recommendation Strong understanding of More ❯

BI/Looker - nice to have) What We're Looking For: 0-3 years of experience in a data engineering or similar role (graduates welcome) Proficiency in SQL and Python Exposure to any of the following: Azure Data Factory GCP BigQuery Snowflake Cloud Functions Strong communication and problem-solving skills Must be eligible for SC (Security Check) clearance (UK residency More ❯

Engineering, Computer Science, or related field with 4+ years of relevant experience Knowledge of and experience with machine learning, data wrangling, advanced statistical data analysis and modeling Proficiency with Python and R AWS or Cloud experience Experience using large data sets to solve problems Preferred Familiarity with commercial and open-source data science software and relational databases: Oracle, SQL, and More ❯

System performance monitoring and tuning Designing, performing, and monitoring system backup plans Training others on system maintenance duties Scripting & Automation Create, debug, and enhance scripts: bash, csh, Perl, Ruby, Python, expect Automate repetitive tasks Networking Basic knowledge of: Switching, routing, IP addressing, and network fundamentals Experience with multicast Version Control Systems Use and administration of: CVS, Subversion, Git Containers & Storage More ❯