751 to 775 of 2,288 AWS Jobs in London

platforms. You will write production-grade automation in PowerShell and Python, and develop Infrastructure as Code with Terraform and Ansible across Office 365, VMware, AWS, and Azure. You will build CI/CD pipelines and mentor others while delivering reliable, scalable infrastructure. The role requires hands-on coding, collaboration across ...

Engineer to design and implement scalable trade processing and reporting systems. Candidates should have 5-10 years of Java experience along with proficiency in AWS and some knowledge of financial products like equity and swaps. You'll work in a dynamic environment, collaborating with various teams to ensure the effective ...

have substantial 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 ...

should have over 5 years of hands-on experience with programming languages like Python, Java, or C++, as well as a foundational understanding of AWS services. Strong communication skills and an interest in financial markets are essential. The position is based in Greater London, UK. #J-18808-Ljbffr ...

Glide and Flow Designer knowledge. Excellent stakeholder management and communication skills. Desirable Skills: ServiceNow CSA, CIS, CAD or CTA certifications. Agile/Scrum experience. AWS, Azure or GCP exposure. ...

Glide and Flow Designer knowledge. Excellent stakeholder management and communication skills. Desirable Skills: ServiceNow CSA, CIS, CAD or CTA certifications. Agile/Scrum experience. AWS, Azure or GCP exposure. ...

Glide and Flow Designer knowledge. Excellent stakeholder management and communication skills. Desirable Skills: ServiceNow CSA, CIS, CAD or CTA certifications. Agile/Scrum experience. AWS, Azure or GCP exposure. ...

Migration experience with HCX Strong communication, documentation, and stakeholder engagement Preferred Skills Kubernetes on vSphere (VKS) DR tooling (SRM, VCDR) VMware Cloud (VMC on AWS, AVS) Avi load balancing, Aria Suite Lifecycle Certifications VCPCloud Foundation 9.x VCAP NV/DCV welcomed NSX Specialist/VCF Specialist badges SC/ ...

this 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 ...

systems 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 ...

communication and a high level of initiative Useful Experience: Python, TypeScript, or similar Familiarity with modern AI frameworks such as LangChain Cloud experience (Azure, AWS ...

classified 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 ...

Learning 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 ...

architecture Hands-on experience with: Discovery Service Mapping Event Management Operational Intelligence CMDB Experience integrating monitoring tools such as: Splunk Dynatrace AppDynamics Azure Monitor AWS CloudWatch Strong understanding of AIOps and observability frameworks Knowledge of hybrid cloud and enterprise infrastructure environments Experience with ServiceNow governance and upgrade strategies Excellent stakeholder ...

into 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 ...

GenAI solutions, including working with LLMs, RAG, MCP, agents or similar patterns in practical environments. Experience working with cloud platforms such as AWS, Azure or GCP to design and support scalable AI systems. Experience with AI operations practices, including CI/CD, evaluation frameworks, monitoring and model registries. Experience with ...

Strong understanding of application security principles and secure software development practices Experience working closely with software engineering teams Hands‐on experience securing cloud environments (AWS, GCP or Azure) Experience with vulnerability management, threat modelling and security reviews Knowledge of CI/CD security and modern development practices Excellent stakeholder management ...

developing and maintaining data pipelines and data processing systems Understanding of the data lifecycle, including ingestion, transformation, storage, and consumption Knowledge of cloud platforms (AWS) and distributed data processing Experience with SDLC practices including CI/CD, testing, and deployment Strong problem-solving skills and ability to troubleshoot data ...

from day one. What we’re looking for Large‐scale distributed training. PyTorch and modern deep‐learning frameworks. Kubernetes, Slurm or GPU orchestration platforms. AWS and specialist GPU cloud providers. High‐performance computing and distributed systems. Training optimisation, memory management and networking. MLOps tooling, CI/CD and experimentation frameworks. ...

Nice-to-Have We’d also love experience with: Version control for data and artefacts: DeltaLake DVC MLFlow Designing and operating cloud-based systems AWS and/or Databricks Messaging platforms Infrastructure as Code tools such as: Terraform CloudFormation Pulumi Kubernetes and service mesh concepts Data orchestration tools ...

current. Essential Skills & Experience Strong Azure Knowledge: A deep understanding of Azure components is mandatory. Candidates with Experience primarily in other cloud platforms (e.g., AWS) will not be considered. Bicep: Experience with Bicep is required for this role. Terraform: While Bicep is required, Experience with Terraform is highly advantageous ...

Experience working on AI, machine learning, or generative AI platforms. Familiarity with stream-processing and event-driven architectures. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Previous experience within a high-growth startup or scale-up environment. What You'll Gain: Opportunity to shape the data architecture ...

including Timeseries Forecasting algorithms. Background 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 applications. Familiarity with Anaplan or similar enterprise ...

environment. Excellent analytical and problem-solving skills. Desirable Experience: Experience designing an AI adoption strategy for a SOC. Familiarity with Microsoft Sentinel, Splunk, Azure, AWS, or GCP security technologies. Knowledge of detection engineering and automation metrics. What Success Looks Like: Deliver meaningful reductions in manual analyst effort through automation. Establish ...

raise the overall standard of solution thinking across teams. Technical and delivery context Successful candidates tend to bring experience across cloud platforms such as AWS, Azure, or GCP at scale, alongside API-led and microservices-based architectures. You are likely to have worked in complex integration environments involving legacy modernisation ...