3,426 to 3,450 of 8,978 Permanent Python Jobs

operational efficiency Ensure platforms meet required standards for security, compliance, resiliency, performance, and operational supportability What it takes Strong hands-on experience in Java , Python , and modern software engineering practices Experience designing and delivering cloud-native solutions using AWS services and architecture patterns Understanding of AI and Generative AI technologies ...

Predictive Modelling, Optimisation, Unsupervised Learning, or NLP. Experience building and deploying production-grade machine learning solutions at scale in a cloud environment. Strong Python programming skills with hands-on experience using machine learning frameworks such as scikit-learn, XGBoost, TensorFlow, or Keras. Experience working with large datasets, including ETL processes ...

Compliance, and Engineering Must Haves - Technical: Strong OO background in one or more: Go, C++, C#, Java or Rust Experience with Typescript and Python Postgres schema design and query optimization Experience with message queue/pub-sub systems Familiarity with cloud environments (GCP, AWS, Azure), modern CI/ ...

standardised multi‐language app deployment. Linux & Containers: Strong Linux knowledge, container lifecycle management, Dockerfile optimisation, and registry management. Scripting & Tooling: Proficient in Bash and Python for automation and creating internal CLI tools. Architecture: Experience creating HLDs, LLDs, architectural decisions; leading technical discussions with clear trade‐offs. Communication: Effective stakeholder communication ...

monitoring, and iterating as live infrastructure Solid grounding in ML and stats fundamentals: probability, supervised and unsupervised learning, and measurement/validation discipline Strong Python and SQL; comfortable with large transactional datasets and common DS/ML libraries (e.g. pandas, scikit‐learn, XGBoost, PyTorch or similar) Experience collaborating on MLOps ...

understanding of the following Architectural principles: Event-driven architectures and message queues Relational and non-relational databases Development and/or scripting experience (e.g. Python, Node, Bash) Security best practices for access control, data protection and communications. In addition to the above, we would be thrilled if you also ...

technical support, developer support, or systems engineering. Experience managing and delivering against operational SLAs for enterprise accounts Strong hands-on debugging experience with JavaScript, Python, or similar languages, including the ability to read and reason through an unfamiliar codebase. Working knowledge of APIs, databases, and Git-based CI/ ...

Familiarity with common platform integration methods (website tag managers, API authentication, retry/error handling, JSON, webhooks) Ability to interpret and edit JavaScript/Python code, and comfort articulating and discussing technical requests to engineers Familiarity working with or around "big data", using tools like AWS Athena, SQL/ ...

related quantitative field (or equivalent practical experience). Deep Data Science Expertise: Proven professional experience building, deploying, and scaling machine learning models in Python, SQL, and modern AI frameworks. Advanced Causal Inference & Modeling: Proven expertise in causal inference techniques (e.g., A/B testing, propensity score matching, synthetic controls ...

expertise in some of these areas and curiosity to grow in others: A strong background in software engineering, preferably with Go and/or Python Extensive experience with infrastructure tooling, ideally Terraform Extensive experience with managing AWS cloud environments Demonstrated ability to contribute to the direction of a technical domain ...

Solid understanding of event‐driven architectures. Hands‐on experience with PostgreSQL or comparable relational databases. Experience with API and application security. Practical knowledge of Python, including frameworks such as FastAPI. Practical knowledge of the Java stack. Proven experience with deploying and managing Azure cloud services. Experience deploying and operating containerised ...

operational efficiency Ensure platforms meet required standards for security, compliance, resiliency, performance, and operational supportability What it takes Strong hands-on experience in Java , Python , and modern software engineering practices Experience designing and delivering cloud-native solutions using AWS services and architecture patterns Understanding of AI and Generative AI technologies ...

eligibility and willingness to undergo the UK national security vetting process. Experience building or customising AI prompts, automated data pipelines, or scripting (Python, Bash, APIs) for network operations, log scrubbing, and lab automation. Excellent executive communication, presentation, and technical writing skills with experience leading customer service review meetings. Proven track ...

service management skills.* Proficiency with automation/configuration tools (e.g., Ansible, Puppet, GitLab, Terraform).* Experience with Docker and container orchestration.* Scripting skills (Bash, Python, Perl).* Strong project/time management and communication skills.* A proactive, adaptable mindset with a passion for learning.* Proven ability to mentor, guide ...

sales and commercial engagements. What will you bring - required Extensive experience designing, building, and maintaining production-quality software libraries, SDKs, or developer tools. Excellent Python skills and command of modern software engineering practices: testing, CI/CD, packaging, code review, and git-based workflows. Experience owning software ...

Docassemble.Microsoft Power Platform, BRYTER, Onit, or similar workflow tools.Legal AI platforms such as Copilot, Harvey, Claude, Legora, Luminance, or Wordsmith.Basic technical skills including Python, JavaScript, SQL, or data analytics.Process improvement methodologies such as Lean or Six Sigma.Legal Operations, law firm, in-house legal, or LegalTech environments.Relevant certifications in LegalTech, Business ...

have: A degree in Computer Science, Engineering, or a related technical/scientific subject Strong core programming skills in object orientated languages such as Python, C++ or Java Knowledge of frameworks such as Angular or React A deep enthusiasm for expanding your knowledge of a diverse technology stack Willingness ...

should have experience with: Relational Databases, particularly MSSQL/Oracle (with exposure to writing queries, tuning concepts, stored procedures) and Unix Shell/Python script. Cloud technologies, AWS, OpenShift/APIs. Monitoring & Observability tools - ITRS Geneos, AppDynamics and scheduling Tools – TWS and/or Autosys. Some other highly valued skills ...

data science - You've personally built fraud or risk models and put them into production, not just specified them. You're expert in Python and SQL, with a strong grounding in machine learning. Product and delivery mindset - You think like a product manager as much as a data scientist. ...

with a strong willingness to learn and adapt to new technologies: Java (built with Gradle), makes up most of our services, although Typescript and Python can be found in the right places Cloud & AWS technologies, driving our journey into public cloud architecture Docker, for our containerised applications Jenkins, for continuous ...

drawing on the resources across the rest of the Finance & Treasury tribe. Our stack is polyglot and modern: Java 21 + Spring Boot 4.x, Python 3.12, Apache Flink (streaming), Kafka, gRPC + Protobuf, and Bloomberg/Reuters real-time feeds. This isn't typical CRUD — it's real-time financial ...

advanced SQL (required); strong grasp of dimensional modelling, grain, and incremental patterns. Proficiency across the modern data stack (BigQuery or similar warehouse, Python, BI tools such as Looker). Rigour around data quality: you test, document, and reconcile by default, and you spot a model that runs cleanly ...

prototype to production: reproducible pipelines, distributed jobs, and batch workflows on cloud (AWS/GCP/Azure) or HPC. Strong scientific computing instincts: clean Python, careful experiment design, leakage‐aware splits, and rigorous benchmarks. Clear communication with non‐ML scientists and engineers and a willingness to pick up new domains ...

Computer Science, Software Engineering, or a related technical field, or equivalent practical experience Software development or test automation experience using a language such as Python, TypeScript/JavaScript, PowerShell, C#, Java, or similar Experience developing automated tests for software applications Familiarity with continuous integration and delivery concepts and tools such ...

related information services industry. Familiarity with publishing workflows, platforms and data, including manuscript submissions, peer review, bibliometrics, sales or content usage. Experience using Python for data analysis, automation or data processing. Familiarity with AI agents and their application to data management or analytics workflows. Experience working with external technology vendors ...