1,926 to 1,950 of 6,953 Azure Jobs in the UK

risk‐aware environments.Strong engineering judgement, balancing innovation with operational readiness and control.Skills & Experience – DesirableExperience with AI, data, and analytics platforms on AWS or Azure, including managed AI or foundation model services.Exposure to actuarial, underwriting, pricing, analytics, or adjacent insurance technology environments.Familiarity with DevOps/DevSecOps practices, including CI/… architecture principles, target architectures, and design governance processes in large, regulated organisations.Exposure to AI and developer tooling such as OpenAI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, GitHub Copilot, or similar ecosystems.Behavioural CompetenciesStrong ownership and accountability for delivery outcomes.Clear, confident communication with both technical and non‐technical ...

implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data ...

approach complex customer scenarios and engage at an executive level with credibility.Ecosystem Integration: Solution complex engagements involving the broader cloud ecosystem (AWS, Azure, GCP) and third-party tools to ensure a seamless experience for the customer.Thought Leadership: Elevate your profile by leading executive engagement, creating customer-facing content … customer and vendor commercial motivations and sales cycles.Market Familiarity: Understanding and experience of key Data & AI technology market players, including the major hyperscalers (AWS, Azure, GCP) and key ISVs.Builder Mentality: A bias towards “showing” rather than “telling”, preferring to inspire stakeholders through built examples.Technical Expertise: Deep experience in core ...

REST APIs, distributed systems, and event-driven architectures.Experience with relational databases such as PostgreSQL, MySQL, or Oracle.Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.Familiarity with containerisation technologies including Docker and Kubernetes.Experience with CI/CD tools and automated testing frameworks.Strong knowledge of software design patterns … Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows.Experience integrating AI APIs and 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 ...

APIs, distributed systems, and event-driven architectures. Experience with relational databases such as PostgreSQL, MySQL, or Oracle. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with containerisation technologies including Docker and Kubernetes. Experience with CI/CD tools and automated testing frameworks. Strong knowledge … Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows. Experience integrating AI APIs and 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. ...

approach complex customer scenarios and engage at an executive level with credibility. Ecosystem Integration: Solution complex engagements involving the broader cloud ecosystem (AWS, Azure, GCP) and third-party tools to ensure a seamless experience for the customer. Thought Leadership: Elevate your profile by leading executive engagement, creating customer-facing … vendor commercial motivations and sales cycles. Market Familiarity: Understanding and experience of key Data & AI technology market players, including the major hyperscalers (AWS, Azure, GCP) and key ISVs. Builder Mentality: A bias towards “showing” rather than “telling”, preferring to inspire stakeholders through built examples. Technical Expertise: Deep experience ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure ...

responsibilities include designing secure, scalable, and cost-effective data architecture, working with multi-functional teams to lead the adoption and integration of AWS/Azure architecture services, and collaborating with data engineers to prepare and deliver raw data for prescriptive and predictive modelingAssessing and advocating data management technologies … standard languages including SQL and PythonDemonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake ...

responsibilities include designing secure, scalable, and cost-effective data architecture, working with multi-functional teams to lead the adoption and integration of AWS/Azure architecture services, and collaborating with data engineers to prepare and deliver raw data for prescriptive and predictive modelingAssessing and advocating data management technologies … standard languages including SQL and PythonDemonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake ...

orchestration frameworks (Airflow, Temporal)Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governancePractical cloud-native experience (AWS, Azure, or GCP)Ability to present and communicate effectively with senior leaders and executivesCommitment to inclusive, collaborative teamworkStrong problem-solving and analytical skillsAdaptability … open-source table formats and catalog services such as Apache IcebergExperience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)Familiarity with emerging technologies in data engineeringAbility to drive innovation and continuous improvementPassion for mentoring and developing othersEmployer DescriptionJPMorganChase, one of the oldest ...

through multi-threading and concurrency techniques.Collaborate with agile teams, including product owners, architects, and QA engineers, to deliver high-quality software.Utilise cloud platforms like Azure and AWS, and integrate data storage solutions for scalable service delivery.Participate in technical design discussions, code reviews, and agile ceremonies. Here's what … understanding of Java (8+..11, 17, 21) features and object-oriented design principles.Expertise in multi-threading, concurrency, and performance optimisation.Experience with cloud platforms such as Azure and AWS, and automated testing frameworks like JUnit.Proven ability to deliver robust, scalable software solutions within agile teams.Strong problem-solving skills and a growth ...

experience in C# and .NET Core, with a solid understanding of backend development principles.Experience with microservice and event-driven architectures alongside RESTful APIs.Worked with Azure cloud services including Azure Entra and general authentication/authorisation practices.Deep skills in containerisation, automation, and orchestration tools (e.g., Docker). Experience with ...

ship great features, by owning the architecture and paved paths they build on top of.What you’ll be doing ð️Manage and automate resources in Azure, Datadog, NGINX & Cloudflare.Develop, deploy and monitor Kubernetes and Serverless resources.Build, manage, and evolve IAC using Terraform, Helm and Go CRDs.Improving systems, processes, and technologies … SLAs and core service objectivesCollaborating with core foundational teams to build and maintain reusable, automated solutions.Optimising CI/CD pipelines and developer workflows using Azure DevOps, Github, Octopus Deploy, MirrorD, and Flux.Leading incident response; taking an active part in communications, investigations, remediation and post-mortems to protect the customer ...

essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps and LLMOps familiarity expected. Strong communication and stakeholder skills matter at every level. ...

essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps and LLMOps familiarity expected. Strong communication and stakeholder skills matter at every level. ...

essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps and LLMOps familiarity expected. Strong communication and stakeholder skills matter at every level. ...

database systems (SQL and NoSQL) Familiarity with containerization technologies like Docker and orchestration tools Experience working with cloud platforms such as AWS, GCP or Azure Solid understanding of software engineering best practices including testing, code reviews, and CI/CD pipelines Excellent problem-solving skills and a collaborative mindset ...

concepts to non-technical business leaders. Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow). Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI [Preferred]). Knowledge of SQL and advanced data modeling for structured and unstructured data. Familiarity with … years specifically focused on AI/ML engineering or architecture. Proven track record of delivering production-grade AI applications. AI-related certifications (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty) are highly preferred. Typical Education Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science ...

About our Business: At ICIS, our mission is to optimize the world's resources. We help companies make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of ...

retrieve, and act across systems.Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith.Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) – but always choosing the right tools for the problem at hand.Constantly learning, testing, and sharing findings across our internal AI community.QualificationsEssential requirements Even … with APIs, data sources, or production systems.Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks.Understanding of cloud-native (AWS/GCP/Azure) and DevOps/DevSecOps practices.A collaborative mindset and willingness to share, learn, and teach.Understanding of prompt and context engineering and model evaluation.Solid grasp ...

retrieve, and act across systems.Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith.Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) – but always choosing the right tools for the problem at hand.Constantly learning, testing, and sharing findings across our internal AI community.QualificationsEssential requirements Even … with APIs, data sources, or production systems.Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks.Understanding of cloud-native (AWS/GCP/Azure) and DevOps/DevSecOps practices.A collaborative mindset and willingness to share, learn, and teach.Understanding of prompt and context engineering and model evaluation.Solid grasp ...

C# and .NET Core, with a solid understanding of backend development principles. Experience with microservice and event-driven architectures alongside RESTful APIs. Worked with Azure cloud services including Azure Entra and general authentication/authorisation practices. Deep skills in containerisation, automation, and orchestration tools (e.g., Docker). Experience ...

continuous improvement and knowledge sharing What youll need? Commercial software development experience using Java or Python Experience with cloud platforms AWS preferred , although Azure or GCP experience is welcomed Understanding of software engineering best practices Experience working within Agile environments Strong problem-solving and communication skills Whats on offer ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure ...

experience with Django REST API development System design and software architecture experience Agile delivery experience Test-Driven Development (TDD) Cloud platform experience (AWS, Azure or GCP) Excellent communication and stakeholder engagement skills Desirable Government Digital Service (GDS) experience UK Government or Public Sector projects Experience working in secure ...