26 to 50 of 2,229 Python Jobs in London

Active SC held, not eligibility Essential Requirements Core data engineering Strong commercial data engineering background, building and running production pipelines end to end Excellent Python and SQL Solid grasp of data modelling, warehousing and lakehouse concepts Hands-on with orchestration (e.g. Airflow, Dagster) and distributed processing (e.g. Spark) Experience with ...

Software Engineering, Artificial Intelligence or a related discipline.5+ years' commercial experience in AI Engineering, Machine Learning Engineering, Backend Engineering or Data Engineering. Expert-level Python development experience. Experience productionising Machine Learning, NLP or Generative AI models. Strong experience designing and building RESTful APIs and microservices using frameworks such as FastAPI ...

experience in Data Engineering or Data Platform Engineering or Software Engineering working with DataStrong SQL expertise, particularly in complex analytical and warehouse queriesProficiency in Python and/or JavaExperience with Data Warehouses, such as Snowflake or Apache IcebergPractical knowledge deploying and operating containerised workloads using Docker and KubernetesKnowledge of streaming ...

reinforcement learning) and evaluate their potential impact on products. Key Skills & Experience: Experience in machine learning, data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms ...

architects and governance teams to agree definitions, resolve data issues and embed sustainable stewardship and operating ownership. Data engineeringEssential experienceProduction data engineering, including SQL, Python, a modern data platform such as Databricks, Snowflake or Fabric, and orchestration tooling, with practical experience of ETL/ELT, data testing ...

experienced developers Significant hands-on experience with the Azure Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include substantial PySpark experience Demonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test ...

effectively with engineering and non-technical stakeholders. Bachelor's degree in a relevant discipline or equivalent practical experience. Desirable ExperienceStrong hands-on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks. Experience with AWS services, APIs, event-driven integration and infrastructure as code. ...

platforms such as OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related development. Exposure to MLOps practices and AI model deployment pipelines. Contributions to open-source projects or technical communities. BenefitsCompetitive SalaryBonus SchemePrivate ...

Proven experience in full-stack software development, including design, development, testing, and deployment. Some of the languages and frameworks our teams work with: Java Python C#/.NET Full stack JavaScript (React, Node.js etc.) We expect you to have deep experience in at least one of the above, you will ...

Services, Informatica IDMC and Control-M-style scheduling or orchestration capabilities. Proficiency in writing or reviewing technical validation queries and scripts using T-SQL, Python, Power Query, DAX or equivalent technologies for data reconciliation, data quality and transformation testing. Experience embedding testing into CI/CD pipelines using Azure DevOps ...

.Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms ...

certifications in AWS or GCP alongside Azure Exposure to AI/ML services on Azure (e.g. Azure AI Foundry, Azure OpenAI, Azure Machine Learning) Python coding skills BenefitsAlong with a great company culture, Credera provides an exceptional compensation package including a competitive salary (80,000 - 99,000) and a comprehensive ...

engineering and applied-data-science role, including delivery of reliable pipelines, reusable data assets and useful analytical models in Microsoft Fabric and Databricks. Advanced Python, SQL and PySpark, including experience with data transformation, analysis and common machine-learning libraries. Hands-on experience designing and operating scalable data pipelines, lakehouse data ...

responsibility.· Proven experience in implementing AI-driven applications and SaaS (multi-tenant) solutions.· Strong technical proficiency in both frontend and backend development (e.g., React, Python, Java, Typescript).· Proven experience with systems design, design patterns, architectural trade-offs, and integration best practices.· Proven experience with automated testing frameworks (e.g. Zypher ...

design and implement models, optimize performance, and manage training pipelines effectively. Technical Proficiency: Proficiency in programming languages commonly used in AI development, such as Python, TensorFlow, PyTorch, or similar tools, along with modern LLM/agent frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen). Experience with cloud AI platforms ...

Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression ...

Product, Engineering, and Data Science teams Mentor colleagues and contribute to engineering standards Your Skills & Experience Strong commercial Data Engineering experience Advanced SQL and Python skills Experience designing modern cloud data architectures Strong understanding of dimensional modelling and data warehousing Exposure to Azure, AWS, and GCP environments Familiarity with ...

technology strategy through hands-on delivery and experimentation. What We're Looking For Essential Strong software engineering experience with languages such as Python, TypeScript, Java, or C#. Experience building production-grade applications and APIs. Familiarity with cloud platforms such as Azure, AWS, or GCP. Experience working directly with stakeholders ...

technical discovery sessions, architecture discussions and client workshops. Ensure AI solutions adhere to security, governance, privacy and responsible AI principles. Skills & Experience Excellent Python skills with a strong foundation in software engineering and cloud-native development. Hands-on experience with Generative AI, LLMs, RAG solutions and AI agent frameworks. Experience ...

practices. Support the deployment of computer vision systems into customer environments. Essential experience Strong commercial experience developing deep learning solutions for computer vision. Excellent Python development skills. Commercial experience using PyTorch. TensorFlow experience will also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying ...

skills, including T-SQL and exposure to relational database technologies. Proven ETL experience, with SSIS being essential. Experience with scripting languages such as Python or PowerShell. Strong understanding of data modelling, warehousing concepts, and dimensional modelling. Experience working with cloud platforms such as Azure and/or AWS.Knowledge of Agile ...

experience in incident management and production operations. Hands-on experience with CI/CD pipelines, Git, automation, scripting and Infrastructure as Code. Experience with Python, Go, Ansible, Terraform or similar tools. Demonstrable application of agentic AI engineering in observability, incident management and automated recovery. Strong understanding of networking, security ...

skillsPythonReactNode.jsPostgreSQL or other relational databasesREST APIs and system integrationsAWS or another cloud platformDocker and CI/CD pipelinesSQL and data modellingTechnical KnowledgeStrong proficiency in Python and full-stack engineering: React (or equivalent modern front-end framework), PostgreSQL; additional languages (Go, Java) a plusUnderstanding of database systems, SQL, NoSQL, data modelling ...

React Vue.js Windows Presentation Foundation (WPF) REST APIs Microservices architecture AI & Data Technologies AWS SageMaker Large Language Model (LLM) integrations AI-assisted analytics solutions Python-based data analysis tooling Architecture & Governance Enterprise cloud architecture Security architecture and secure-by-design principles Technical assurance and governance Disaster recovery and business continuity ...

reinforcement learning) and evaluate their potential impact on products. Key Skills & Experience: Experience in machine learning, data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms ...