3,426 to 3,450 of 6,531 Jobs in England

applications using modern LLM, agentic AI and retrieval-augmented generation (RAG) frameworks. Bachelor's degree or equivalent commercial experience. Cloud platform certifications (Azure, AWS or Google Cloud). Architecture certifications such as TOGAF or equivalent. Experience working in consulting, professional services or technology delivery environments. Annual salary reviews ...

operations (monitoring, evaluation, versioning, and rollback) Experience integrating AI capabilities into APIs, workflows, and digital platforms Familiarity with cloud platforms (AWS, Azure, or GCP) and managed AI services Solid engineering fundamentals (testing, CI/CD, observability, security) Experience working in regulated, secure, or high-compliance environments Strong communication ...

HANA database administration and optimisation. Understanding of OS administration (Linux/Unix, Windows) for SAP environments. Familiarity with cloud platforms hosting SAP (AWS, Azure, GCP, or SAP BTP). Knowledge of backup/recovery tools and processes. SAP kernel and support package management. Transport Management System (TMS) configuration ...

modern engineering practices such as CI/CD, containerisation (e.g. Docker, Kubernetes) and automated testing Experience with cloud platforms (e.g. AWS, GCP or Azure) Comfortable working in a Linux environment Nice to have: Advanced data engineering experience in Python, e.g. with libraries like Dagster, Prefect etc Experience optimising ...

mentality) Work with databases (Postgres, MySQL, MongoDB) Work with (and learn around) cloud platforms such as AWS, GCP and/or Azure Debug in a range of systems Work on your own self‐development – we value keen learners Mentor others Champion Clean Architectures (Object‐Oriented Programming, SOLID Principles ...

deployment. Programming Languages: Expertise in Python for data manipulation, model development, and scripting. Cloud Platforms: Experience with cloud platforms like AWS, GCP, or Azure for deploying and managing machine learning models. Version Control (Git): Proficient in using Git for version control and collaboration. What are you going ...

best practices. Technical Expertise Experience designing solutions across modern cloud data platforms, including Google BigQuery/Google Cloud Platform (GCP), Snowflake, Databricks, and Azure data services. Familiarity with enterprise analytics architectures, governed analytics pipelines, and modern data engineering practices. Experience integrating analytics platforms into complex enterprise data ecosystems. ...

both technical and non-technical audiences. Desirable Experience within merchantacquiringor payment gateways. Knowledge of compliance and regulatory requirements within payments. Experience with AWS, Azure, or Google Cloud Platform. SQL or data analysis experience. Experience supporting enterprise merchants. Previoustechnical consultancy orsolutionsengineering experience. Why us? Why Join Nomupay? Join ...

/CD security, cloud platforms, supply chain security, and HashiCorp Vault. Strong experience building enterprise solutions in both public cloud (AWS GCP Azure) and on premise. Proven track record leading engineering teams and large-scale technical initiatives. Ability to design, build, test, handover, and scale security capabilities across ...

experience. Experience leading technical projects or platform improvement initiatives. Knowledge of REST APIs, JSON, XML and integration technologies. Understanding of monitoring across AWS, Azure and Google Cloud. Experience with container and Kubernetes monitoring. Knowledge of enterprise observability frameworks and modern SRE practices. Tivoli Netcool OMNIbus SMEDue ...

other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair ...

technical decisions, engineering risks and architectural outcomes. Ensure clear traceability from requirements through design and implementation to verification evidence. Govern engineering tooling, including Azure DevOps Server, Jira, Confluence and Ansible, ensuring it supports effective engineering delivery and auditability. Govern the CI/CD and automated testing capability supporting ...

integration. Exceptional communication, negotiation, and leadership skills. Willingness to travel and spend time onsite internationally. Experience with cloud‐native architectures (e.g., AWS, Azure), Kubernetes, microservices, and DevSecOps practices. Familiarity with data architecture, AI/ML applications in telecom, and enterprise security models. Certification in TOGAF, TM Forum ...

agentic AI developer tools to improve throughput and quality within appropriate governance and secure usage patterns. Experience with additional cloud providers, such as Azure or Google Cloud. #J-18808-Ljbffr ...

operations using best practices in automation, observability, and continuous improvement. Requirements Advanced SQL, ETL/ELT frameworks, and cloud data platforms such as Azure, AWS, or GCP. Data modelling and pipeline orchestration using tools such as Airflow, Data Factory, dbt, or similar. Integrate CDP data sources across digital ...

including experience in working with client's distributed teams and defining the right target operating model Solid understanding of cloud platforms (e.g., AWS, Azure, GCP) and their related services Hands‐on experience in technology and software engineering practices with ability to supervise and suggest competitive technical decisions ...

experience involving VPCs, subnets, security groups, route tables, VPNs, and load balancers DevOps or CI/CD experience using Git, Jenkins, GitLab CI, Azure DevOps, or similar tools Python or Bash scripting experience for test automation and log processing Docker and/or Kubernetes exposure Experience with iPerf ...

client‐facing environments and possesses the strategic mindset required to navigate the challenges of global enterprise digital transformation. Deep, practical AWS or Azure experience of modern large‐scale solutions across compute, storage, identity and governance. A deep understanding of cloud networking. A deep understanding of cloud and application ...

with security practitioners, architects, and CISOs in complex enterprise sales cycles Strong understanding of modern security architecture: identity, endpoint, network, and cloud (AWS, Azure, GCP) Strong knowledge of SIEM, EDR/XDR, SOAR, and common log sources (CloudTrail, Okta, endpoint telemetry, etc.) Familiarity with detection frameworks (MITRE ...

TypeScript, modern JS frameworks) and back-end (Java, C#, Node.js or equivalent) technologies Deep understanding of cloud-based solutions and deployment, ideally with Azure including CI/CD pipelines and containerization (Docker/Kubernetes) Demonstrated experience developing and optimizing high-performance, large-scale applications Strong programming experience ...

developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills in Python, Java, Scala, or a similar language. Proficiency in database technologies (SQL, NoSQL, time ...

data architectures Experience building modern data lake/lakehouse architectures (e.g., Apache Iceberg) in cloud environments Strong knowledge of AWS (S3, Redshift) or Azure data services Experience with ETL/ELT processes and data ingestion Proven expertise using transformation tools such as dbt Experience with data pipeline orchestration ...

Strong understanding of GDS delivery phases (Discovery, Alpha, Beta, Live) and associated governance. Experience managing multiple work packages or streams simultaneously. Proficiency with Azure DevOps (Boards, Pipelines) for sprint and backlog management. Excellent stakeholder management and communication skills at both technical and senior levels. Experience producing and maintaining ...

building and training deep learning models in PyTorch Familiarity with MLOps tooling such as MLflow and CI/CD workflows Experience with AWS, Azure, or GCP Experience with sequence models (e.g. transformers, RNNs) or generative models (e.g. diffusion, flow, or GANs) — applied to any domain; experience with spatiotemporal ...

building and training deep learning models in PyTorch Familiarity with MLOps tooling such as MLflow and CI/CD workflows Experience with AWS, Azure, or GCP Experience with sequence models (e.g. transformers, RNNs) or generative models (e.g. diffusion, flow, or GANs) — applied to any domain; experience with spatiotemporal ...