226 to 250 of 1,542 Python Jobs in London

data modelling expertise (canonical data models, JSON) Deep experience with enterprise messaging platforms (Kafka, IBM MQ) Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems Full-stack development experience (RESTful APIs, front-end frameworks such as Angular) Experience with Cloud and Containerization technologies ...

videos Skills Platform engineering: designing and implementing scalable, resilient, and secure platforms Automation: infrastructure‐as‐code practices, tools (e.g., Terraform), and scripting languages (Python, Ruby) Container orchestration: Kubernetes and managed services (AKS) Public cloud expertise: Azure services, architecture, landing zones and best practices DevOps mastery: CI/CD, containerization, serverless ...

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. \nExperience in machine learning engineering.Strong proficiency in Python and experience deploying end-to-end pipelines on AWS.Hands-on experience in system design, application development, testing, and operational stability.\n Preferred qualifications, capabilities, and skills ...

technologies, including hands‐on expertise with sophisticated proofs‐of‐concept and public cloud platform(s). Coding expertise in a core programming language (i.e., Python, Java, Scala). A foundational understanding of Apache Spark architecture is preferable; hands‐on skills will be advantageous for the role. We will be testing ...

Experience with modern AI platforms — OpenAI, Claude, Vertex AI, or open-source models — including building or using abstraction layers for multi-provider pipelines. Strong Python, Java or equivalent experience building 12 factor applications + Infrastructure as Code (Terraform, Helm) Strong experience in client-facing communication and collaboration, including leading technical ...

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 ...

relevant field; or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience. Proficiency in software engineering with Python, including experience with production ML infrastructure (model serving, data pipelines, evaluation frameworks). Familiarity with LLM‐based systems for structured information extraction from unstructured text. Understanding ...

strong quantitative skills. Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas. \n 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 ...

verbal communication skills and collaborative mindset to work with internal and external stakeholders Technology Stack: 1. MS Azure 2. Pytest 3. Cosmos DB 4. Python 5. Microsoft Fabric 6. Testrails 7. Gitlab/GitHub Desirable skills/knowledge/experience: Experience integrating QA workflows with Git, ADO and other tools ...

vulnerability, secure configuration, exposure validation and attack surface management. Experience integrating multiple data sources into reporting frameworks. Hands-on SQL experience. Scripting experience (Python, PowerShell or similar). Experience with reporting tools such as Power BI. Experience automating reporting pipelines. Experience with data lakes and big data solutions (e.g. Snowflake ...

applying standards for design (patterns), development, (style guides) and operational readiness (automation, deployment) Proficient software development experience in one of Java, Scala, or Python Software development experience with data-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools Expert in SQL or SQL extensions for analytical ...

Significant proven experience building and deploying AI applications in large scale production environments. Experience managing data science teams and couching team members Proficiency 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 ...

environments Experience building and operating systems that support the full ML lifecycle, from experimentation and training through to deployment and monitoring Strong knowledge of Python and sound engineering principles, including testing, automation and code quality Strong experience with cloud platforms such as GCP Experience with Docker, Kubernetes and modern containerised ...

with GitHub, Jenkins, and Azure DevOps pipelines. Experience working in cloud environments (Azure preferred; AWS/GCP acceptable). Proficiency with automation and scripting (Python, Groovy, Terraform, etc.). Knowledge of modern SDLC and DevSecOps operating models. Compensation/Benefits Information (This section is only applicable to US candidates ...

junior colleagues, managing small teams to deliver projects on time, on budget, and to a high technical standard. Qualifications What you’ll bring Fluent Python programming skills with an understanding of software engineering practices Demonstrable experience designing, developing, and deploying AI applications end to end, from initial prototype through ...

including Azure OpenAI, AI Search and AI Studio. Well‐versed in modern machine learning approaches, MLOps practices and cloud‐based AI architectures. Proficient in Python, common machine learning frameworks, distributed processing concepts and core MLOps practices. Experience designing APIs, building microservices and implementing end‐to‐end ML pipelines on cloud ...

Proven experience leading technical architecture for large-scale platforms or services. Solid understanding of software development methodologies and data modelling principles. Deep expertise in Python (or failing that, Java). Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Strong ...

required\n Essential Criteria: \n \n Proven Azure commercial experience in AI Foundry, ACS/Telephony, Voice Live, Azure ML \nProven industry experience with Python, Javascript, Typescript, React, Redux, JavaExperience with LLM's including realtime modelsExperience with Docker, Container Apps, containerised distributed systems, Terraform, Kafka, New Relic, MCP, WebsocketsExperienced ...

explainable, validated, and compliant with internal governance and regulatory standards. Visualisation & Communication Develop dashboards and visualisations using tools such as Power BI, Tableau, or Python-based libraries Translate complex analytical outputs into clear, actionable insights for senior stakeholders. Produce structured, high-quality materials for governance forums and risk committees. Collaboration ...

senior engineering roles. Hands‐on fluency with the full AI stack. Deep familiarity with LLMs and agent systems, evaluation frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB, or similar), and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes, Docker, and IaC tooling. Experience deploying ...

across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives ...

skills demand within the company, certifications etc. Your Profile Our ideal candidate will bring a combination of the following skills and experience: Experience in python programming language and SQL. Experience in Data & AI cloud microservices AWS and Azure. Experience with Data & AI platforms: Cognite Data Fusion, C3 AI, Hexagon, Palantir ...

within real business or customer analytics use cases.Experience working with modern analytical data stacks (e.g. cloud data warehouses, BI tools, analytical languages such as Python or R, data clean rooms) to deliver scalable, reusable analytical outputs.Demonstrable client‐facing or senior stakeholder experience, with excellent communication skills, shown through success ...

frameworks. Experience building or contributing to agentic AI systems, intelligent workflows, or orchestration frameworks. Backend & Platform Engineering Strong backend engineer with production experience using Python and/or TypeScript. Designed scalable backend services, REST APIs, and event‐driven architectures. Experience building reusable platform capabilities, internal developer tooling, SDKs, or shared ...