101 to 125 of 927 Azure Jobs in London

solutions. Tech Environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes, and GPU infrastructure. What We're Looking For Proven experience designing enterprise AI or ML architectures, with a strong understanding of cloud and modern ...

environments Required Skills & Experience Proven experience working as a Cloud Architect within secure or enterprise environments Strong knowledge of cloud platforms such as AWS, Azure, or GCP Experience designing secure and scalable cloud-native architectures Strong understanding of networking, infrastructure, and security principles Experience with Infrastructure as Code tools ...

systems Use test‐driven development (TDD) and automated testing approaches Design systems for scalability, resilience, and performance Work with cloud platforms such as AWS, Azure, or GCP (desirable) Align solutions to public sector digital service standards and best practices (desirable) Maintain a strong focus on user needs over user ...

Data Scientist will ideally have the following attributes: Experience working with large-scale transactional, behavioural, or operational datasets Experience with cloud platforms such as Azure, AWS, or GCP Knowledge of MLOps, model monitoring, and deployment frameworks Exposure to Generative AI, Large Language Models (LLMs), or modern AI workflows Strong ...

clinical analytics, or medical data science. Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with cloud platforms including AWS, Azure, or Google Cloud. Experience with generative AI, large language models (LLMs), and retrieval-augmented generation (RAG). Technical Skills Python SQL Machine Learning MLOps ...

Ability to troubleshoot complex infrastructure and application issues using monitoring insights Solid scripting experience (Python, PowerShell) for automation and integration Familiarity with cloud platforms (Azure, AWS) and monitoring containerised environments (Kubernetes, OpenShift) Strong problem-solving skills and analytical thinking to draw meaningful insights from data Excellent communication skills with ...

within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering ...

quick to learn and pick up technologies to use the right tool for the job You have experience with cloud based environments e.g., AWS, Azure, Google Cloud, including designing scalable, secure data infrastructures You're comfortable with AI and Agentic programming, using it in your daily activities You have ...

Awareness of emerging industry trends and technologies. Experience with platforms such as FNZ, Avaloq, Bravura or similar solutions. Knowledge of cloud platforms including AWS, Azure or Google Cloud. Exposure to emerging technologies such as Generative AI and Blockchain. Professional certifications in architecture, cloud or delivery methodologies (e.g. TOGAF, Agile ...

modern data architecture and Lakehouse principles. Excellent SQL skills and experience working with distributed data systems. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong Agile delivery experience. Experience leading technical teams and delivering complex projects. Expected split: ~30-50% hands-on coding + technical problem ...

Strong experience with Apache Spark/PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data ...

influence senior stakeholders Experience working in sensitive/security-focused environments Strong understanding of data governance, standards, and architecture frameworks Desirable Skills Experience with Azure or GCP Knowledge of Scala and Apache Spark Familiarity with DevOps practices and cloud-native delivery models Experience working alongside cyber security teams ...

Strong software engineering expertise in Python, including backend development, automation, and infrastructure tooling Hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud) Strong experience implementing Infrastructure as Code using tools such as Terraform or equivalent Experience designing and building authentication and authorisation systems ...

through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform Hands‐on experience with machine learning accelerators (GPUs ...

SuccessFactors Integrated Business Planning (IBP) BW/4HANA ECC Third‐party enterprise applications and cloud platforms Design integrations with cloud data platforms such as Azure, AWS, Databricks, and other modern data ecosystems. Leverage APIs, OData services, event‐driven architectures, and data pipelines. Advise on migration and modernization strategies across ...

release management. Working knowledge of OAuth2/OpenID Connect, JWT, secure API design, and threat-modelling basics. Experience owning CI/CD pipelines (Azure DevOps) and driving deployment automation and quality gates. Demonstrated production (or near-production) experience with at least one of: LLM API integration, vector databases, prompt ...

scale. Experience integrating AI into enterprise systems via APIs and data pipelines with strong security, data governance and residency practices. Cloud platform experience (AWS, Azure or GCP) including managed AI/ML services. Proficiency in Agile, CI/CD, modern SDLC and TDD. Strong data and architecture skills: modelling ...

Deep understanding of LLMs, prompt engineering, model evaluation, and fine‐tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation ...

levels with strong Data and ETL pipeline testing. With Python and SQL skills to join our team. An understanding of Databricks and Azure ADF is also desirable. The successful candidate will form part of the Enterprise Data Platform team (NOVA) responsible for delivering on the product roadmap and enhancing ...

microservices, API-first, event-driven architecture, multi-tenant isolation, Kubernetes/container orchestration, serverless patterns. Working knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure Synapse) and real-time streaming (Kafka, Flink, Spark Streaming). Familiarity with generative AI patterns (LLM fine-tuning, RAG, prompt engineering, function calling, agent ...

/IEC 23894 where applicable. Technical Breadth: A strong systems engineering core with significant hands‐on experience in IT, Data, and Cloud (AWS/Azure). You understand the “Silicon” as well as the “System.” Commercial Intelligence: Significant experience across multiple defence domains with a thorough understanding of relevant ...

10+ years of experience in Site Reliability Engineering, Platform Engineering, or related fields. Strong hands‐on experience across multiple domains, including: Cloud platforms (AWS, Azure) CI/CD and Infrastructure‐as‐Code (e.g. Terraform) Observability tools (e.g. Datadog, Splunk) Automation and scripting (e.g. Python) Experience designing and implementing scalable ...

/IEC 23894 where applicable. Technical Breadth: A strong systems engineering core with significant hands-on experience in IT, Data, and Cloud (AWS/Azure). You understand the "Silicon" as well as the "System." Commercial Intelligence: Significant experience across multiple defence domains with a thorough understanding of relevant ...

/or how indexes and index data are used by financial institutions* Exposure to cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud.**Career Stage:**Manager**London Stock Exchange Group (LSEG) Information:**Join us and be part of a team that values innovation, quality ...

years experience in customer success, account management, or service delivery Experience managing Microsoft CSP customers and cloud subscriptions Strong understanding of Microsoft cloud platforms (Azure, M365, Dynamics preferred) Proven ability to manage customer relationships and drive adoption outcomes Experience working in a services or managed services environment Strong communication ...