4,476 to 4,500 of 9,126 Permanent Python Jobs

equivalent industry experience. Experience performing code reviews or code-assisted testing, particularly in Java and Go. Experience in automation of security testing (e.g. using Python or Go). Excellent verbal and written communication skills. Interview process Interviewing is a two way process and we want you to have the time ...

orchestration tools such as Airflow. Familiarity with **testing TDD, DevOps and CI/CD** as applied to analytics engineering workflows. Confident use of **Python** where it supports the modelling work, and comfort managing your own local development environment. An eye for using **AI coding tools** thoughtfully - to accelerate delivery without ...

such as n8n, Tray.io, Workato, or Zapier, and in agentic patterns using LLM APIs from Anthropic, OpenAI, or similar. Confident hands-on coding in Python and TypeScript, comfortable building REST and webhook integrations, testing APIs (for example with Postman), and working with version control and basic CI/CD. Working ...

strongly recommended. Experience with eCommerce, CDN, DNS, WAF or Web Hosting is strongly recommended. Experience with scripting in various languages (PowerShell, Python, Bash, etc.) against REST APIs is strongly recommended. Proficiency in English is required. Ideal Candidate Profiles, Talents, and Desired Qualifications: Demonstrate strong verbal and written communication skills, excellent ...

Transformers, large language models) Experience applying ML in real-world, noisy, and adversarial domains, such as trust & safety, fraud, or abuse detection Proficiency in Python and experience writing production-quality code, with a solid understanding of data pipelines, model training workflows, and MLOps practices Demonstrated ability to own problems ...

science analytics. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep understanding of econometrics, regression, Bayesian statistics ...

agentic analytical tools. You can define what “right” looks like precisely enough to test against. Clear communication with analysts, program managers, engineers, and executives. Python or SQL for data manipulation, and familiarity with REST APIs. Experience designing training curricula or certifying analysts. For government portfolios: an active Government security clearance ...

modalities — e.g. analyzing signal spectra to characterize or classify RF emissions. Experience with Docker and containerized deployment of sensor/fusion components. Experience with Python for tooling, testing, or data analysis. Soft skills: Strong analytical and problem‐solving skills, comfortable diagnosing subtle issues in noisy, real‐world sensor data. Clear ...

Available to work 09:00 – 18:00 CET (UTC ± 2) and participate in the 24/7 on‐call rotations. Your Qualifications Must have: Python fluency at the level of reading and debugging someone else's code, not only writing your own. Hands‐on experience running workloads in at least ...

full cycle of NGS data analysis, from sequencing QC to annotation and prioritization of variants Skills and experience for success: Proficiency in using Python and R for efficient data processing and analysis. Knowledge of statistics and/or machine learning. Familiarity with high-throughput sequencing algorithms. Expertise in cancer genomics ...

building management reporting or analytics on top of platform data; working knowledge of SQL, APIs and modern data‐integration technologies, and some exposure to Python or ML platforms; an understanding of chart‐of‐accounts, enterprise structure and finance master data, and why it shapes everything downstream; and relevant cloud‐data ...

Experience: 5+ years of production backend engineering, with real ownership of at least one complex service end-to-end. Technical Proficiency: Strong experience with Python for building backend services and data pipelines. Familiarity with AWS services (e.g. S3, RDS/Postgres, Kinesis, ECS, Lambda) and infrastructure tooling (Terraform). Data ...

insights that support audit conclusions. Modern technology will be an important part of the experience. Depending on your work, this could include using Databricks, Python, SQL and AI-enabled audit solutions to investigate complex risks, generate insight and support better decision‐making. The programme develops highly transferable skills in analytics ...

engineering, research engineering or a similarly technical role, along with experience taking ownership of complex technical work. You should be comfortable: Writing production-quality Python and working with modern ML frameworks such as PyTorch. Building, training, fine-tuning and evaluating machine learning models. Working with complex datasets, designing experiments ...

tied to a real user need. We prefer short feedback loops to polished first attempts. We build the smallest thing that works. Stack: Python (Flask), Postgres, Celery and AWS (ECS, Lambda, SQS) on the backend; React and TypeScript across web and mobile; GitHub Actions for CI/CD. Experience with ...

context, hallucinated arguments, silent partial success, unbounded loops.Working knowledge of more than one agent harness, and opinions about where each of them is weak.Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in.Experience diagnosing latency in a distributed request path.Comfort with ambiguity ...

with a meaningful portion spent on infrastructure or platform systems. Strong backend or systems programming experience in a production environment. Our working languages are Python, Go, and Rust; we welcome strong engineers from other compiled or object‐oriented languages (for example C++, C#, or Java) who are ready to work ...

arguments, silent partial success, unbounded loops. Working knowledge of more than one agent harness, and opinions about where each of them is weak. Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. Experience diagnosing latency in a distributed request path. Comfort ...

enable delivery. Experience leading collaborative, outcome‐focused architecture reviews. 5. Hands‐On Technical Depth Strong background in modern programming languages and frameworks (e.g., C#, Python, TypeScript). Ability and willingness to write code, review pull requests, build prototypes, and validate architectural decisions through implementation. Proven credibility leading teams through example ...

Stack: High proficiency in Snowflake and dbt (data build tool) for building scalable, governed data models. Technical Stack Knowledge: Advanced SQL and proficiency in Python or R for modeling. Deep experience with Salesforce (CRM) and BI tools such as Sigma or Tableau . AI & Automation: Experience leveraging AI tooling (e.g. ...

software at some point in your career, not just scripts, and you write code another engineer can pick up and maintain. Fluent in Angular, Python or a similar language, and comfortable working in unfamiliar languages and codebases. An understanding of SQL, data modeling, and building pipelines for ingestion, transformation ...

they need to achieve quality at pace. What You’ll Bring Software Engineering Mastery Strong Coding Foundation: Proven expertise in a modern language (e.g., Python, Java, Node, or TypeScript ) with a deep commitment to software craftsmanship and clean code. Complex Data Experience: Experience handling data from heterogeneous, distributed sources. While ...

working knowledge of the following tools and packages would be beneficial: MS Office packages; PTC Windchill;; Matlab/Simulink; Power BI; JIRA and Python This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. ...

physics - contacts, friction, joints, stiffness, damping and control parameters, and the ability to diagnose unstable or non-physical behaviour rather than tuning blindly. Strong Python, and fluency with Linux, Docker and Git. Integration with real robotics software - you've connected simulation to systems that actually run, with working knowledge ...

enabled solutions such as predictive forecasting and agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, with some exposure to Python or ML platforms (deep engineering isn't required); and relevant cloud-data, platform or AI certifications, or a professional finance or accounting qualification. If you have ...