426 to 450 of 2,061 Azure Jobs in London

experience in AI engineering, leading teams, and delivering effective solutions. A strong background in Python, SQL, and working with cloud platforms like AWS or Azure is essential. You will contribute to high-impact programs that transform AI and data within complex environments. #J-18808-Ljbffr ...

complex infrastructure projects within enterprise environments. Strong stakeholder management and communication skills. Active SC or DV Clearance Desirable Skills Infrastructure Design. Cloud Platforms (AWS, Azure, or GCP). Kubernetes. DevOps practices and tooling. Hybrid cloud environments. #J-18808-Ljbffr ...

Harness). Proficiency in Python scripting for automation. Understanding of policy-as-code frameworks (OPA, Sentinel) and cloud governance. Certifications: GCP Professional Cloud Architect, Azure Solutions Architect Expert, Kubernetes Certified. Good to have: Experience with IDE platforms for Cloud Engineering (e.g., Backstage). Please click apply ...

engineering or architecture-aligned roles Exposure to solution/design work (even without the title) Understanding of architecture fundamentals and SDLC Experience with AWS, Azure or GCP Strong communication and stakeholder engagement skills Relevant degree (2:1 preferred) Financial Services or regulated industry experience desirable Eligible ...

role include:**- Proficiency in Databricks and experience with Medallion Architecture.- Strong programming skills in Python and SQL.- Familiarity with cloud platforms such as AWS, Azure, or GCP.- Knowledge of Snowflake and experience with Spark/PySpark.- Experience in designing and implementing modern data platform engineering solutions.If you are ready ...

complex infrastructure projects within enterprise environments. Strong stakeholder management and communication skills. Active SC or DV Clearance Desirable Skills Infrastructure Design. Cloud Platforms (AWS, Azure, or GCP). Kubernetes. DevOps practices and tooling. Hybrid cloud environments. Please click here to find out more about our Key Information Documents. Please ...

Translate operational and mission needs into technical solutions Lead teams across data, engineering, and delivery Influence strategy, capability, and technical direction Tech landscape AWS | Azure | GCP Databricks | Snowflake Data lakes | Warehouses | Distributed systems DevOps | Infrastructure as Code | Secure deployment Data governance | Secure access | Analytics layers What you bring Active ...

senior stakeholders and providing strategic technical leadership What they're Looking For Enterprise cloud data platforms Snowflake Event-driven architecture and modern integration patterns Azure, AWS or GCP Kubernetes and cloud-native technologies CI/CD, DevOps and automation Data governance, security and operating models Why Apply? Shape strategic ...

operating production ML systems Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps, CI/CD and model lifecycle management Cloud platforms (AWS, GCP or Azure) and containers/Kubernetes Experience with low-latency or real-time systems; familiarity with audio or speech processing a plus Mentoring or technical leadership ...

Essential experience: Strong commercial experience with Kubernetes. Hands-on experience building Infrastructure as Code using Terraform. Experience working with cloud platforms such as AWS, Azure or GCP. Experience with containerisation technologies including Docker. Strong understanding of CI/CD principles and DevOps best practices. Experience supporting highly available, scalable ...

production environments * Experience delivering end-to-end data engineering solutions * Exposure to **Spark, Snowflake, BigQuery** or similar * Cloud experience across **AWS, GCP, or Azure** * Comfortable working with messy, large-scale datasets * Strong ownership from design through to deployment A strong opportunity to shape the data foundations behind AI products ...

backend, and product What We’re Looking For 4+ years in platform/DevOps/infra Strong Kubernetes, Docker, cloud (AWS/GCP/Azure) GPU workloads/ML infra Experience designing & operating multi-tenant architectures with strict tenant isolation Familiarity with autoscaling & service isolation Experience with CI/ ...

environments - Turn complex mission requirements into things that ship - Lead engineering teams through implementation - Shape long-term architectural strategy and capability **The environment** AWS, Azure, GCP · Databricks, Snowflake · lake, lakehouse and modern warehouse patterns · distributed processing · DevOps, IaC, secure deployment · governance, access control, analytics enablement **What we need** - Active ...

techniques and architectures, including Generative AI, Transformers and neural networks. Python and common Data Science libraries. TensorFlow, PyTorch or similar machine learning frameworks. AWS, Azure or Google Cloud AI and Data Science services. Ability to work effectively with technical and non-technical audiences If you receive suspicious outreach claiming ...

engineering experience You have advanced problem solving and critical thinking skills You enjoy learning and picking up new technologies You have experience with AWS, Azure or GCP You have some experience with Rust, Typescript and/or C++ You have a strong knowledge of software engineering best practices ...

complex infrastructure projects within enterprise environments. Strong stakeholder management and communication skills. Active SC or DV Clearance Desirable Skills Infrastructure Design. Cloud Platforms (AWS, Azure, or GCP). Kubernetes. DevOps practices and tooling. Hybrid cloud environments. Please click here to find out more about our Key Information Documents. Please ...

skills Comfortable working independently, taking ownership of tasks with minimal oversight Highly Desirable: Wealth management or broader financial services background, Dynamics 365, Power Platform, Azure DevOps. To find out more, apply below or contact Arc IT Recruitment directly. ...

Scikit-Learn. GenAI: Hands-on experience developing LLM-based applications, RAG pipelines, and prompt engineering. Infrastructure: Experience deploying applications in cloud environments (AWS, Azure, or GCP) using Docker and Kubernetes. Engineering: Strong software engineering fundamentals, including version control, testing, and API/microservices architecture. Experience with MLOps platforms (e.g. ...

practical, deliverable solutions Guiding engineering teams through implementation Influencing architectural strategy and long-term capability Technology environment You'll typically be working across: AWS, Azure and Google Cloud Databricks and Snowflake Lake, lakehouse and modern warehouse architectures Distributed data processing platforms DevOps, Infrastructure as Code and secure deployment patterns ...

office stakeholders Desirable Skills & Experience Prior experience in investment banking or financial services, particularly front‐office systems Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with containerisation technologies (Docker, Kubernetes) Experience with Kafka or similar messaging/event platforms Understanding of distributed systems design and immutable event patterns ...

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 ...

platforms and infrastructure.Technical Proficiency: Exhibiting a good grasp of cloud platform engineering principles and demonstrating expertise in areas such as cloud service providers AWS, Azure, GCP, containerization technologies like Docker and Kubernetes, and infrastructure as code IaC.Independent Work and Initiative: Expected to work independently on specific tasks, showcasing initiative ...

experience in a Data Architect, Data Solutions Architect, or similar role. Strong experience with cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure . Good understanding of Google BigQuery and modern data platform technologies. Expertise in data architecture, data warehousing, and large-scale data platforms. Strong knowledge ...

governance, and quality initiatives. Technical expertise in SQL and non-SQL systems, database architecture, and data lake/warehouse design. Experience with cloud platforms (Azure DevOps preferred). Excellent communication skills with ability to bridge technical and business teams. Strong knowledge of data security, privacy, and compliance. Nice ...

custom scripts when needed. Experience in automating pentesting tasks. Solid understanding of application security, network protocols, and operating systems. Experience with cloud platforms (AWS, Azure, GCP) and containerized environments (Docker, Kubernetes). Ability to write clear, technical reports and communicate findings to both technical and non‐technical customers. Proficient ...