3,376 to 3,400 of 7,381 Azure Jobs

teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

frameworks such as Java, Kotlin, Node.js, Python, or Spring BootKnowledgeable in microservices architectures, RESTful APIs, and event‐driven systemsComfortable working with cloud platforms (AWS, Azure, or GCP), containerisation (Docker), and orchestration tools (Kubernetes)Experienced in automated testing, CI/CD pipelines, and code quality toolsStrong understanding of data structures ...

Timeseries Forecasting algorithms.DesirableBackground in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field.Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment.Background in forecasting, planning, or analytics applicationsFamiliarity with Anaplan or similar enterprise planning platformsExperience with ...

functional product development team and work closely with product managers, UX designers, QA engineers, and domain experts. The team uses modern tooling including GitHub, Azure DevOps, and AI-assisted development environments. Check what we can offer you: Competitive salary 25 days holiday per year Private Medical and Dental plans ...

augmented generation systems and pipelines, and you've built them in real-world contexts.Cloud platform experience – You're experienced with at least one of Azure, AWS, or GCP, and comfortable deploying and maintaining systems in production.Interest in client-facing work – You enjoy the full picture. You're as happy ...

processes, and analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms (AWS, GCP, or Azure). Extensive experience working with privacy-sensitive datasets and implementing robust data observability and governance frameworks. A strong technical background with a track record ...

memory, tools, and retrieval to complete multi-step tasks. Enterprise integration: Integrating AI into existing systems via APIs and data pipelines. Cloud: AWS, Azure, or GCP. Delivery: CI/CD, modern SDLC, TDD, and code review. Data: Working with relational, columnar and vector stores, grounded in sound data-modelling ...

different-size organisations. Practical hands-on experience of designing, architecting & deploying AI-enabled solutions at least one cloud data platform (e.g. Databricks, Snowflake, AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) ideally including practical/hands ...

different-size organisations.Practical hands-on experience of designing, architecting & deploying AI-enabled solutions at least one cloud data platform (e.g. Databricks, Snowflake, AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) ideally including practical/hands ...

modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g. ...

enterprises, leading cross-functional initiatives and revenue-generating projects.Set yourself apart:Certifications from major Zero Trust vendors, CISSP/CCSP credentials, and cloud certifications (Azure, AWS, GCP).Demonstrated impact on sales growth and client satisfaction.What’s in it for youAt Accenture in addition to a competitive basic salary ...

CloudFormation or Ansible) and DevSecOps practices. Practical use of AWS services such as Lambda, API Gateway, S3, Aurora and IAM, with awareness of Azure; comfortable operating on Kubernetes/OpenShift. Test automation at multiple levels, for example Cypress, Jest, React Testing Library and consumer-driven contract testing; quality tooling ...

engineering brand and culture. Tech stack M&S uses a variety of technologies including React, Next.js, Typescript Java Kotlin Python Swift GraphQL Federation Cloud: Azure While M&S is principally a Java environment, the Personalisation group has a mix of Python and Java teams. What you will need ...

engineering brand and culture. Tech stack M&S uses a variety of technologies including React, Next.js, Typescript Java Kotlin Python Swift GraphQL Federation Cloud: Azure While M&S is principally a Java environment, the Personalisation group has a mix of Python and Java teams. What you will need ...

complex architectural decisions, and build consensus across multiple teams. Nice to Haves Cloud Architecture: Experience designing and deploying services on a major cloud provider (Azure, GCP). Blockchain Expertise: A strong understanding of blockchain technology, cryptocurrencies, and decentralized ecosystems is a significant plus. Financial Market Knowledge: Interest or prior ...

CloudFormation or Ansible) and DevSecOps practices. Practical use of AWS services such as Lambda, API Gateway, S3, Aurora and IAM, with awareness of Azure; comfortable operating on Kubernetes/OpenShift. Test automation at multiple levels, for example Cypress, Jest, React Testing Library and consumer-driven contract testing; quality tooling ...

teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

mentoring colleaguesExperience creating technical documentation and delivering trainingPreferred Skills:Understanding of AI security threats and mitigationExpertise in AI/ML cloud services e.g. Azure OpenAI, AWS Bedrock or Google Cloud AI.Knowledge of core ML concepts e.g. anomaly detectionFamiliarity with technical support environments, SaaS platforms, or complex data systemsExperience working ...

mentoring colleaguesExperience creating technical documentation and delivering trainingPreferred Skills:Understanding of AI security threats and mitigationExpertise in AI/ML cloud services e.g. Azure OpenAI, AWS Bedrock or Google Cloud AI.Knowledge of core ML concepts e.g. anomaly detectionFamiliarity with technical support environments, SaaS platforms, or complex data systemsExperience working ...

environmentDeep skill in driving technical solutions across multiple teamsStrong Experience with Terraform and CI/CDStrong experience managing infrastructure in the cloud (AWS or Azure)Experience using languages such as Go, Python, C#, Java, or similar.Experience designing tooling to simplify the operational management of SaaS/PaaS systems.Empathy ...

must.Experience with scripting languages (Python preferred).Understanding of OS, and in-depth working knowledge of Windows and Linux a must.Experience with AWS/Azure public cloud toolsets and environments.Basic experience with AI concepts and implementations.Career Stage:Senior AssociateLondon Stock Exchange Group (LSEG) Information:Join us and be part ...

teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

London office) Fluency in English Desirable qualifications, skills and experience Start-up experience (building backends and data environments completely from scratch) Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Experience working with frontend technologies (TypeScript, React, others) Prior exposure to NLP, LLMs, and ML tools Experience ...

teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...