176 to 200 of 2,987 Python Jobs in London

/CD, modern SDLC, TDD, and code review. Data: Working with relational, columnar, and vector stores, grounded in sound data‐modelling principles. Languages: Python, Java, TypeScript/JavaScript, SQL, and relevant AI SDKs. Mentoring: Developing skills in mentoring engineers through pair programming and day‐to‐day collaboration. Communication: Clear written ...

customer‐facing or embedded roles System architecture: Proven ability to design and implement AI‐native software in production environments Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability ...

quasi-experimental approaches. Experience applying data science, machine learning and statistical modelling techniques to analyse complex datasets and generate actionable insights. Strong proficiency in Python and SQL for analytical workflows. Experience developing robust analytical solutions using sound statistical principles and software engineering best practices. Strong stakeholder management and communication skills ...

Agile development methodologies & understanding of DevOps Integration. Relational database skills (SQL). Experience in the following technologies is helpful, but not essential: Scala, Python, C++, Perl, Shell, C#. Ideally, experience developing on Linux. Excellent problem solving, communication and team-working skills. #LI-FT1 WHAT YOU CAN EXPECT FROM MORGAN STANLEY ...

results clearly to both technical and non-technical senior stakeholders. Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling (e.g., Tableau), and native cloud services like AWS or GCP. What will set you apart Orchestration Mastery: Deep experience with data orchestration tooling ...

security configurations within the Kubernetes ecosystem. Automation and Programming Skills: Must have: Proficiency in one or more modern software languages (e.g., Typescript, Go, Python, Rust) and associated frameworks used for building high‐performance, resilient production systems. Must have: Proven experience developing robust, maintainable, and well‐tested automation scripts, services ...

with cloud data services and modern data stacks. Relevant technologies may include Snowflake, Azure/AWS/GCP data services, Kafka, orchestration tooling, SQL, Python, dbt or equivalent transformation frameworks. Strong knowledge of data modelling, data quality, metadata/catalogue, reconciliation, lineage, role‐based access, privacy, GDPR/PII handling ...

including quasi‐experimental approaches. Experience applying advanced data science, machine learning and statistical modelling techniques to solve complex business problems. Expert‐level proficiency in Python and SQL for large‐scale analytical workflows. Experience developing reusable analytical methodologies, frameworks or libraries that improve measurement quality and consistency across teams. Demonstrated ability ...

knowledge of cloud platforms: Microsoft 365, Azure, AWS, and Google Cloud Platform (GCP). Hands-on experience with programming languages such as Java, .NET, Python, or equivalent. Microservices architecture and containerization. RESTful API design and management. Agile and DevOps delivery methodologies. Expertise in data architecture and design (conceptual, logical ...

developing Kubernetes Operators Production experience with OSS API Gateways and Ingress controllers Production Software Engineering using a high level language like Go, Java, JavaScript, Python Distributed Software Architecture exposure in high volume production scenarios Working with Data Mesh, BigData technologies such as EMR, Spark, Databricks Designing, tracking and testing ...

charters, ideally enhanced with data-driven or AI-supported techniques OOP & Programming: Solid understanding of OOP (Classes, Methods, Inheritance) with proficiency in Java or Python Automation Tools: Hands-on experience with frameworks like Playwright, Selenium, or Cypress AI-Augmented Testing Exposure: Working knowledge or hands-on exposure to AI-based ...

ranging from forecasting tools to image recognition applications and LLM-based chatbots and agents Proven ability to build machine learning models and pipelines using Python and common ML and DL libraries ( e.g. Pytorch, Tensorflow ) from early conceptualisation to full deployment in scalable production environments Ability to design, deploy and maintain ...

systems and event‐driven architecture: messaging, async workflows, resilience patterns, idempotency and at‐scale system behaviour Backend and platform engineering: advanced server‐side development (Python recommended; additional languages a plus), service design and performance optimisation Infrastructure as Code and CI/CD: automated build, test and deployment pipelines (e.g. Terraform ...

have 4+ years of experience in software engineering and/or technology consulting Experience in at least two modern programming languages such as TypeScript, Python, Java or Go. Proven ability to architect, build and deploy complex agentic systems, including agent-to-agent communication Ability to build auditable agentic systems that ...

usability, user experience and application design. • Experience with the Qt framework. • CI/CD experience with tooling such as GitLab, Docker and Kubernetes, and Python for automation and testing. • Familiarity with modern AI development tooling and agentic workflows. • Line-management experience. The role may include line-managing one or more ...

monitor system health, analyse logs, and troubleshoot production issues. Programming ,Scripting and Infrastructure as Code: Ability to write and maintain scripts in languages like Python or Typescript for automation and Terraform for IaC Networking: Understanding of load balancers, DNS setups, and basic network security practices. Database Management: Experience in managing ...

Qualifications Working knowledge of Power BI Desktop, Power BI Service and Workspaces, Power Query, DAX, data modelling and related technologies. Proficient in SQL and Python; experience of Databricks is a plus. Effective at using AI tools such as ChatGPT or Claude in analytics work, including how to prompt effectively ...

understanding of usability, user experience and application design.Experience with the Qt framework.CI/CD experience with tooling such as GitLab, Docker and Kubernetes, and Python for automation and testing.Familiarity with modern AI development tooling and agentic workflows.Line-management experience. The role may include line-managing one or more developers depending ...

unstructured data at scale.* Proven ability to translate business problems into measurable analytical outcomes.* Experience taking models from development into production environments.### Technical Skills* Python and associated data science ecosystem (Pandas, NumPy, Scikit-learn).* Machine learning techniques including classification, regression, clustering and anomaly detection.* Experience with Generative AI, LLMs ...

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 ...

models, and solid data engineering skills (e.g. experience with cloud technologies - we use GCP, but experience with AWS is also relevant). Ability in Python and SQL for data manipulation, modelling, and scripting. You have experience working with large datasets. Knowledge of the data generated by websites ...

from: CMDB (ServiceNow), asset management tools, procurement platforms, licence management tools (Snow, Flexera), and infrastructure monitoring (Datadog, Dynatrace, SolarWinds) Data modelling and analytics: SQL, Python/Pandas for cost data analysis; experience building normalisation pipelines and cost allocation engines Dashboard and reporting tools: Power BI, Tableau, Grafana, or custom ...

depthHands-on experience building and shipping production AI systems — agentic frameworks, LLM applications, RAG systems, computer vision, or applied ML pipelines.Solid full-stack foundation (Python, JavaScript/TypeScript, and modern frameworks) with the technical credibility to engage directly with engineers on architecture and design decisions.Experience with cloud architecture (Azure preferred ...

Preferred Qualifications: Experience with modern development stacks, including source control systems, CI/CD, and containers. Proficiency with Linux/Unix platforms. Experience with Python, Java, Kubernetes, and Docker. Basic understanding of financial markets and concepts, with prior industry experience. Familiarity with statistics, stochastic processes, and discrete mathematics. #J ...

Improve data quality, reliability, and performance * Collaborate with product, analytics, and ML teams * Contribute to engineering best practices What We're Looking For * Strong **Python and advanced SQL** in production environments * Experience delivering end-to-end data engineering solutions * Exposure to **Spark, Snowflake, BigQuery** or similar * Cloud experience across ...