7,626 to 7,650 of 10,264 Permanent Python Jobs

work experience equivalent to 6 years. • Strong experience with Ruby programming and understanding of the Ruby on Rails framework, or the ability to learn Ruby with strong experience with Python with Django or Flask. • Strong verbal and written communication skills to interact effectively with cross-functional teams. • Experience editing, updating, and modernizing legacy code. Preferred Qualifications: • Experience integrating telephony systems More ❯

or higher) Experience with SD-WAN, IPv6, or cloud network integrations (AWS, Azure Gov) Prior work supporting DoD, IC, or federal civilian agencies Knowledge of network automation tools (Ansible, Python scripting) Why Join Us? Mission-driven work supporting national security Competitive salary and comprehensive benefits Opportunities for advancement and certification support Collaborative and cleared team environment More ❯

and have worked on complex systems You have a good understanding of financial markets, ideally with experience in a similar Fintech environment You have an appreciation of APIs and Python backend systems You're degree educated, having achieved a 2.1 or above in Computer Science or similar technical discipline What's in it for you: As a Senior React Developer More ❯

innovation. About You: 8+ years in data leadership roles, with proven success building and scaling modern data teams. Expert in Azure Synapse, Databricks, and Power BI, with strong SQL, Python, Spark, and data modelling skills. Deep knowledge of cloud-native data architecture, data lakes, and streaming pipelines. Strong grasp of predictive analytics, AI, and machine learning applications. Excellent stakeholder management More ❯

debug mobile exploits Reverse-engineer mobile application SDKs Conduct vulnerability research targeting mobile platforms Support application development for cyber-focused capabilities Required Skills: Programming experience in Java, JavaScript, and Python Reverse engineering experience using static/dynamic analysis tools such as Frida, Jadx, Ghidra, or IDA Experience with vulnerability research and software debugging Nice to Haves: Experience with C/ More ❯

innovation. About You: · 8+ years in data leadership roles, with proven success building and scaling modern data teams.· Expert in Azure Synapse, Databricks, and Power BI, with strong SQL, Python, Spark, and data modelling skills.· Deep knowledge of cloud-native data architecture, data lakes, and streaming pipelines.· Strong grasp of predictive analytics, AI, and machine learning applications.· Excellent stakeholder management More ❯

our federal customers. Your commitment to our customer's missions, curiosity, and attention to detail will make you a valuable addition to the SIXGEN team. Required Skills: Proficiency in Python, C, JavaScript, React, Java Knowledge of databases (SQL and NoSQL) and data modeling Ability to develop, maintain, and enhance complex and diverse software systems Review and test software components for More ❯

IT lifecycle – design, delivery, support and optimisation Familiarity with ServiceNow or other ITSM platforms Good understanding of networking fundamentals – DNS, DHCP, VPN, VLANs, Firewalls Scripting experience (PowerShell, Bash or Python) Hyper-V or equivalent virtualisation experience Excellent communication and problem-solving skills Proactive, customer-focused approach with a passion for continuous improvement Relevant certifications (Microsoft, CompTIA, ITIL) are beneficial What More ❯

Collaborate with data engineers to ensure clean, accurate, and usable data. Monitor and update models to stay effective in a changing risk landscape. Requirements: Scripting skills in SQL and Python Experience with statistical analysis Experience with machine learning frameworks Knowledge of Large Language Models (LLMs) and other AI tools Experience within risk management would be highly desirable Benefits: Salary up More ❯

Programming Languages: Python, Java, or Go. • Data Engineering Tools: Apache Kafka, Airflow (for orchestration), Spark (if needed for larger datasets). • OpenSearch/Elasticsearch: Indexing, querying, and optimizing. • Visualization Tools: Kibana, Grafana (for more advanced visualizations), React.js. • Cloud: AWS (ElasticSearch Service), or Azure (if using cloud infrastructure). Desired: • 15+ years of experience working in data engineering or software development More ❯

Experience & Skills: Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. More ❯

Experience & Skills: Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. More ❯

delivering impact in a senior data science role. Deep understanding of machine learning model lifecycles and optimisation. Skilled in building, training, and deploying models on large datasets. Proficiency in Python, PyTorch, Scikit-learn, and similar ML frameworks. Experience with cloud environments (AWS preferred), containerisation, and modern data infrastructure. Excellent communication skills, with the ability to work effectively across technical and More ❯

role in project settings. Holds a strong undergraduate degree in a STEM field with a significant focus on mathematics; possessing a PhD is beneficial but not mandatory. Proficient in Python programming. Experienced in managing large datasets, appropriate software techniques, and understanding hardware needs. Familiar with the software development lifecycle and Agile methodologies. Skilled in communicating complex ideas effectively to various More ❯

Sorry, we are unable to sponsor or upgrade clearances for this role. 8+ years of relevant experience with: Identifying and validating requirements for Extract, Transform, and Load (ETL) systems Python for software development. NiFi. Kafka and Logstash. Large data sets in SQL, as well as cloud based relational databases. Building modular systems. Through knowledge of the cyber security domain. Interview More ❯

precision while also identifying transformational opportunities for sales productivity. 🔑 What You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA skills 2+ More ❯

precision while also identifying transformational opportunities for sales productivity. 🔑 What You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA skills 2+ More ❯

delivering impact in a senior data science role. Deep understanding of machine learning model lifecycles and optimisation. Skilled in building, training, and deploying models on large datasets. Proficiency in Python, PyTorch, Scikit-learn, and similar ML frameworks. Experience with cloud environments (AWS preferred), containerisation, and modern data infrastructure. Excellent communication skills, with the ability to work effectively across technical and More ❯

organisational design Experience of Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions. Understanding of data science, data analysis and visualisation tools and best practice. Knowledge of current software development using Python Effectively managing delivery teams to deliver high quality results. Interest and knowledge of technology and analysis approaches and best practice. Excellent communication skills, both written and verbal. A positive and More ❯

and empower data-driven decision-making across the business Carry out ETL processes and validate data for accuracy and completeness Analyse data using SQL and scripting languages such as Python to provide actionable insights Share clear and meaningful insights to guide both strategic and operational decisions Profile BI & Analytics Manager A successful BI & Analytics Manager should have: A strong background More ❯

and empower data-driven decision-making across the business Carry out ETL processes and validate data for accuracy and completeness Analyse data using SQL and scripting languages such as Python to provide actionable insights Share clear and meaningful insights to guide both strategic and operational decisions Profile BI & Analytics Manager A successful BI & Analytics Manager should have: A strong background More ❯

experience with Looker or similar BI tools (Tableau, Power BI) Strong commercial acumen - you understand both data and the business problems it's solving Familiarity with version control (Git); Python skills are a bonus Comfortable working autonomously in fast paced, unstructured environments Interest in how AI can enhance productivity and streamline data work We're proud to be an equal More ❯

precision while also identifying transformational opportunities for sales productivity. 🔑 What You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA skills 2+ More ❯

requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare More ❯

precision while also identifying transformational opportunities for sales productivity. 🔑 What You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA skills 2+ More ❯