326 to 350 of 2,064 Azure Jobs in London

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. Proven ability to handle ...

would have started out around there. Strong experience designing and delivering enterprise data lake environments, ideally using AWS, Databricks or similar modern cloud platforms. Azure and GCP backgrounds are acceptable too. Proven background in data engineering, data architecture, integration or large-scale data transformation programmes. Experience building automated workflows ...

Network and QOS Telemetry Packet decoding and analysis tools such as tcpdump and Wireshark Experience with public cloud networks such as AWS, GCP, or Azure Unix/Linux command line utilities and networking stack Familiarity with Prometheus, Grafana, ELK is desirable Optical OLS/DWDM experience is desirable Culture ...

relational database design. Experience building scalable REST APIs and backend services. Strong understanding of distributed systems and scalable architecture. Experience working with cloud platforms (Azure preferred, AWS or GCP also considered). Experience designing production-grade data pipelines. Strong understanding of software architecture and engineering best practices. Bachelor ...

processes. Strong troubleshooting skills and the ability to approach problems in a structured and logical manner. Desirable Skills Exposure to cloud platforms such as Azure, AWS, or GCP. Knowledge of UNIX/Linux environments. Experience supporting application decommissioning, modernisation, or migration programmes. Familiarity with ETL processes and data engineering ...

Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission ...

with LLMs and prompt engineering Solid understanding of data pipelines and APIs Experience deploying models in production environments Familiarity with cloud platforms (AWS/Azure/GCP) Desirable Experience Knowledge of vector databases and retrieval-augmented generation (RAG) Exposure to MLOps tooling (CI/CD, monitoring, model versioning) Experience ...

understanding of RESTful API or GraphQL API design and development Strong experience with GIT and CI/CD tooling (Github Actions, Gitlab, Argo CD, Azure Devops) Experience monitoring systems in production (ELK, Grafana, Prometheus, Datadog, CloudWatch) Strong drive for application and performance testing Strong knowledge of web architecture ...

Agile frameworks Excellent stakeholder management and communication skills Strong understanding of delivery governance, risk management, and reporting Experience using tools such as Jira and Azure DevOps Experience with modern technologies such as AI, GraphQL Experience with use of latest Agile tracking and forecasting methods Strong communication and influencing skills ...

Proven track record of establishing or significantly growing an engineering site or office Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation Experience with infrastructure supporting large‐scale AI/ML systems, including: GPU infrastructure and orchestration ML training and inference pipelines Model ...

Hands‐on GPU compute and performance debugging (CUDA/NCCL, GPU utilization, networking bottlenecks, profiling). Working knowledge of cloud environments (AWS, GCP, or Azure), including object storage, IAM, and cost awareness. Proficient with containers (Docker, Kubernetes) and comfortable reading and writing IaC (Terraform) for the surfaces you ship. ...

core Big Data Analytics domain with some exposure to advanced proofs‐of‐concept and an understanding of a major public cloud platform (AWS, GCP, Azure). Experience diving deeper into solution architecture and design. The role requires travel to customer sites in the UK. Travelling approx. ...

APIs, & backend systems. Strong problem-solving skills & the ability to balance engineering rigor with delivery speed. Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), & modern DevOps practices. Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents & crew ...

error budgets. Who you are: You bring deep expertise in Infrastructure as Code with proven success deploying Terraform, Pulumi, or CloudFormation in AWS, Azure, or GCP for MLOps and HPC workloads. You understand cloud-native and on-prem architectures including autoscaling, serverless, and multi-region deployments ...

willingness to learn a base level of Spark. Hands‐on expertise with complex proofs‐of‐concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification ...

Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud What's in It for You? At Scale Factory, we believe in recognising and rewarding great work. Here's what ...

e.g., BSc, CKAD, Google Associate Cloud Engineer, or AWS Certified Solutions Architect). Expert-level administration of a major cloud platform (GCP, AWS, or Azure). Mastery of Kubernetes administration and operator patterns. Strong cloud networking expertise across the OSI networking model. Strong proficiency in Infrastructure as Code ...

ability to influence and engage stakeholders across various functions and levels Preferred qualifications, capabilities, and skills Experience in testing Public cloud environments like AWS, Azure and GCP with proficiency in at least one platform. Experience in reverse engineering standalone, thick client and mobile applications. Proficiency in security concepts ...

will be comfortable working with RESTful APIs, understanding application architecture, and writing clean, maintainable, and testable code. Experience working within cloud environments such as Azure, AWS, or GCP is highly desirable, along with some exposure to CI/CD practices, version control, and modern development workflows. You should demonstrate ...

networking (routing/switching, SDN), storage platforms (SAN/NAS), and compute systems (virtualized, bare metal, HCI). Experience with public cloud platforms (AWS, Azure, GCP) and hybrid cloud strategies. Familiarity with HPC architectures and containerization technologies (e.g., Kubernetes, Docker) for AI workloads. Certifications (Preferred): Relevant technical certifications such ...

similar languages, significantly reducing manual toil across our production environment Design and implement scalable, fault-tolerant infrastructure solutions on public cloud providers (AWS, GCP, Azure) to support WRITER's rapidly expanding, high-traffic AI platform Own the reliability, performance, and efficiency of WRITER’s core services, defining and upholding ...

willingness to learn a base level of Spark. Hands‐on expertise with complex proofs‐of‐concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Nice to have: Databricks Certification ...

pipelines for seamless integration What You’ll Bring Data Architecture: Proven experience designing and building data warehouse/lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks Data Modeling: Strong expertise in data modeling and solution architecture, optimizing for performance and scalability Data Governance: Experience with data platforms ...

ability to leverage modern data platforms, governance, and data products to enable successful AI outcomes. Advantageous Snowflake Scripting languages - such as PowerShell, Python Azure Redgate Power BI - desktop, report builder, SaaS DAX, service principals, power query Task automation PERSONAL REQUIREMENTS Exceptional communicator Calm under pressure, able to meet tight ...

engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with ...