2,101 to 2,125 of 8,831 Python Jobs

Look ForWe place great value on technical excellence and a drive for continuous learning.Experienced Software Engineers with one of the following technologies – Java, Python, C++ or C#Strong experience with CI/CD, unit testing framework and automation (testing/deployment) in cloud platforms such as AWS or AzureCuriosity about ...

experience, preferably in a number of distinct industries/verticalsCompetence in at least one of the following languages (in no particular order): Java, C#, Python, Node.js (JavaScript), Ruby, GoExperience with databases such as MongoDB, Oracle, MS SQL Server, PostgreSQLFamiliarity with Linux diagnostics and tuning; Windows tuning knowledge is a plusFamiliarity ...

data based solutions for analytics with related technologies (SSAS, SAP BW/Hana, Snowflake etc.) and relevant languages (SQL variants, MDX etc.).Experience using Python with strong problem-solving abilitiesExperience working in regulated industries such as Finance, Healthcare or Public Sector is a plus.Additional InformationWork PersonasWe approach our distributed world ...

YOUYou have strong quantitative skills. Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas.You have experience with SQL, python/R, dbt (ideally) and building data pipelines.You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that ...

diverse sources e.g. parquet, SQL & no-SQL databases, API endpoints It would be helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required ...

data engineering experience with Databricks and AWS Hands-on practical experience in system design, application development, testing, and operational stability Proficiency in coding in Python Solid understanding of agile methodologies such as CI/CD, application resiliency, and security Overall knowledge of the Software Development Life Cycle Curiosity and foundational ...

Commercial track record building and owning multi-agent or agentic AI systems in live production settings, as an engineer rather than an integrator Strong Python skills, comfortable working with LangGraph, LangChain, Haystack or similar, and equally comfortable dropping below the framework when that's the right call Real-world experience ...

encourage the effective and responsible use of approved AI tools and automation to enhance collaboration and delivery.What We’re Looking ForStrong proficiency in Python, Scala, or Java, with hands-on experience of Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks.Experience building real-time event streaming solutions using ...

Commercial track record building and owning multi-agent or agentic AI systems in live production settings, as an engineer rather than an integrator Strong Python skills, comfortable working with LangGraph, LangChain, Haystack or similar, and equally comfortable dropping below the framework when that's the right call Real-world experience ...

eval harness design, prompt versioning, and production observabilityCloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm)Strong Python; Java or equivalent backend language acceptable; production debugging and observability experienceQuality of experience is weighted over years, a candidate who has shipped three production agentic ...

Strong attention to detail and ability to manage multiple projects and stakeholders Functional and object-oriented programming skills with expertise in Scala, Java, and Python, and open-source frameworks such as Apache Spark Familiarity with software engineering and project management tools such as Git, Jira, and Agile Experience leading adoption ...

understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. You possess strong Python skills and solid experience in software engineering best practices. You bring hands‐on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture ...

from idea to productionDegree in a quantitative or engineering field such as Computer Science, Engineering, Mathematics, or PhysicsDemonstrate strong, practical programming skills, particularly in Python, with hands-on experience developing large-scale, production-grade systems and a willingness to learn and apply best coding practicesA genuine problem solver ...

understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. You possess strong Python skills and solid experience in software engineering best practices. You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture ...

remained on paper. Deep expertise in data modelling, warehouse/lakehouse design, and data governance. Hands-on background in SQL and Python, and fluency with at least one major cloud provider (AWS or Azure) and modern data platforms (e.g. Snowflake, Databricks). System‐level judgement on how data architecture shapes ...

architects, IT stakeholders, and business leaders.Strong presentation, demo, and storytelling skills, with the ability to explain complex technical concepts clearly and credibly.Familiarity with SQL, Python, R, Apache Spark, or similar technologies is a plus.Experience with Alteryx or similar analytics platforms is highly desirable.Ability to work independently in a fast-paced ...

engineering, with a track record of owning systems end to end. Strong infrastructure‐as‐code and automation skills: Terraform, Ansible, and scripting in Python and Bash. Experience operating across hybrid cloud and on‐prem/bare‐metal environments. Strong grasp of infrastructure security: IAM, secrets management, network security, and hardening ...

understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.You possess strong Python skills and solid experience in software engineering best practices.You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security.You ...

related field.Significant proven experience building and deploying AI applications in large scale production environments.Experience managing data science teams and couching team membersProficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph, ADK).Experience with generative models (transformers, GANs/VAEs ...

learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). Expertise in data engineering for AI: handling large ...

software engineering concepts with experience delivering in a commercial setting.Hands-on experience in system design, application development, testing, and operational stability.Advanced proficiency in Python or Java programming languages and frameworks.Ability to independently troubleshoot design and functionality issues.Demonstrated ability to problem-solve in real-time and handle technical issues with ...

learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). Expertise in data engineering for AI: handling large ...

learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). Expertise in data engineering for AI: handling large ...

OAuth, Cognito, OIDC - all advantageous Containers and Orchestration (Docker, Kubernetes) DevOps/DevSecOps and related tools Knowledge of multiple languages such as Javascript, Java & Python If you don’t meet all the requirements? Studies show that women and black, Asian and minority ethnic people are less likely to apply ...

learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). Expertise in data engineering for AI: handling large ...