2,626 to 2,650 of 3,388 Python Jobs

validation . Experience with Hardware-in-the-Loop (HIL) or equivalent embedded validation environments. Strong programming/scripting skills in at least one of Python, C, C++, or Java . Familiarity with CI/CD pipelines , version control systems such as Git, and automated quality reporting. Experience using defect tracking ...

Implementation and optimisation of the core algorithms used by TradingHub to perform deep analysis of financial data Requirements Requirements Proficiency with C#, C++ or Python Evidence of exceptional mathematical and analytical skills Initial industry experience working as a quant within a financial services organisation Some knowledge of risk sensitivities ...

advantage.Data content and quality expertise - ability to validate if a price is correct; experienced in using tick history tools.Programming/scripting: Shell, Python, Perl, SQL, nice to have Javascript, C++ Networking: IP (TCP/UDP/MCAST) and familiarity with switch/routing topologiesOperating systems: Linux (RedHat) system administrationCloud computing ...

Implementation and optimisation of the core algorithms used by TradingHub to perform deep analysis of financial data Requirements Requirements Proficiency with C#, C++ or Python Evidence of exceptional mathematical and analytical skills Initial industry experience working as a quant within a financial services organisation Some knowledge of risk sensitivities ...

such as threat modelling, secure design review, (AI‐)SAST/SCA tooling, vulnerability management, and/or security automation. You are very comfortable with Python and JavaScript. You have experience with AWS and/or GCP from a cloud infrastructure perspective, and you know your way around GitHub Actions. ...

made and the trade-offs behind them. Deep Experience with the majority of our stack and have examples of filling experience gaps quickly Python Django and DRF React and React Native PostgresQL Google Cloud Experience monitoring reliable systems and recovering from outages You know how to see an alert ...

such as OPC UA, MQTT, Modbus, PROFINET or Ethernet/IP. Siemens technologies such as Industrial Edge, Insights Hub or TIA Portal. Node-RED, Python, JavaScript, REST APIs, JSON, SQL or time-series databases. Cybersecurity principles, ideally including IEC 62443. OT/IT integration and multi-vendor industrial environments. Certifications ...

such as OPC UA, MQTT, Modbus, PROFINET or Ethernet/IP. Siemens technologies such as Industrial Edge, Insights Hub or TIA Portal. Node-RED, Python, JavaScript, REST APIs, JSON, SQL or time-series databases. Cybersecurity principles, ideally including IEC 62443. OT/IT integration and multi-vendor industrial environments. Certifications ...

such as OPC UA, MQTT, Modbus, PROFINET or Ethernet/IP. Siemens technologies such as Industrial Edge, Insights Hub or TIA Portal. Node-RED, Python, JavaScript, REST APIs, JSON, SQL or time-series databases. Cybersecurity principles, ideally including IEC 62443. OT/IT integration and multi-vendor industrial environments. Certifications ...

find the best fit product team at Canonical for you to progress your application based on your personal interests. Canonical has substantial projects in Python, Go, C, C++ and we are starting to invest in Rust. For front-end development we prefer React and Flutter. Join us in our mission ...

Proven ability to productionize ML models and pipelines: from prototyping to deployment, with strong experience in monitoring, iteration, and troubleshooting. Advanced programming skills in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or similar. Experience leading projects and mentoring engineers or scientists, with a track record of fostering ...

suggest, investigate and deliver new ideas. Technical requirements for the DevOps Automation Engineer: Powershell & Desired State Configuration (DSC) Automation Computer Science Microsoft Azure Python (Programming Language) A great DevOps Automation Engineer will have- Bachelor's degree in a STEM subject from a well-regarded university & Commercial experience in either software ...

tooling (Prometheus, Grafana, Datadog, or similar). Strong technical foundation: Demonstrated ability to write production-quality code and solve hard technical problems (experience with Python, TypeScript/JavaScript, systems programming, or browser internals is valuable). On-call experience: you know how to triage issues under pressure, drive them ...

applications. Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. Experience with agentic frameworks and autonomous agent architectures. Proficiency in Python and modern software development practices (testing, code review, CI/CD). Proven track record of delivering complex technical projects on time with high quality ...

designs for AMD, Microsemi and/or Intel FPGAs Knowledge of firmware simulation and verification tools Knowledge of scripting, using TCL and/or Python Knowledge of concepts such as Isolated Design Flow, encryption, and secure boot Understanding of the engineering product development lifecycle Though not essential to succeed ...

systems knowledge: APIs, service architecture, scalability, observability Experience making and owning foundational architectural decisions that affected how an entire engineering org worked Proficiency in Python; comfort across the stack where it matters Nice to have: Experience with financial data, legal documents, or other semi‐structured, domain‐rich datasets Background ...

7+ years with a master's OR 3+ years with a PhD Preferred Qualifications (Desired Skills/Experience): Experience programming in C/C++, Python, or C# Experience with Kubernetes or other containerization technologies Experience with message patters or transport technologies (ZMQ, Apache MQ, etc.) Experience with embedded systems development ...

enthusiastic, strong, technical generalist Good knowledge in agentic AI, inference, codegen, agent frameworks (e.g., OpenClaw, Hermes), and industry trends Working knowledge of SQL, JavaScript, Python, APIs, etc. Familiarity with AI-assisted development and agentic coding tools (Claude Code, Cursor, Codex) and the Model Context Protocol (MCP) is a plus Experience ...

infrastructure from the ground up or significantly evolving existing systems Ability to work with large datasets, build models, and create dashboards; familiarity with SQL, Python, Tableau, Looker, or similar tools is a plus Comfort working with complex operational and infrastructure metrics such as GPU utilization, customer cohort analysis, unit economics ...

data. Experience working with multi-modal data; in multiple formats from a variety of different sources. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Experience of Model Risk Management; technical documentation, coding best practices, the importance of validation ...

building documentation, playbooks, and repeatable operational processes Preferred Experience building or scaling IT support teams in high-growth environments Exposure to automation and scripting (Python, Bash, PowerShell) or infrastructure-as-code tools (Terraform) Familiarity with compliance frameworks such as SOC 2 or ISO 27001 Experience supporting hybrid or distributed workforces ...

Cisco, etc. Working programming skill-set to be able to author and develop tools. Most in-house security tools in KPMG are written in Python, but we accept that a competent programmer will be able to transfer skillsets across languages. Technical proficiency in at least one of these areas: network ...

data‐driven role in a professional industry setting (excluding post‐doc positions), with exposure to: 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; developing models for bespoke problem settings that involve high‐dimensional data ...

experience in a data‐driven role in a professional industry setting, where you have been instrumental in: building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke ...

Experience designing and running experiments, analyzing results, and iterating based on empirical findings (e.g., prompting, scaffolding, agent design, fine-tuning, or RL). Strong Python programming skills Demonstrated ability to work independently on open-ended research problems Bonus: Experience with AI evaluation frameworks, in particular Inspect (though other frameworks ...