501 to 525 of 1,664 AWS Jobs in Central London

across engineering to improve practices, tooling, and system design. Mentor and influence technical direction company-wide. Tech & Environment Kotlin (JVM) , distributed systems, microservices, CI/CD Cloud-native platforms (AWS/GCP), modern engineering culture What They're Looking For Deep JVM/backend experience; Kotlin a bonus, but not required. Strong systems thinker with a track record of architectural More ❯

performance tuning. Strong experience with configuration management tools (e.g., Terraform, Ansible). Proven track record in CI/CD pipeline design, especially for distributed systems. Experience with cloud platforms (AWS, GCP, or Azure). Proficiency in Python and Golang for automation and tooling. Familiarity with blockchain infrastructure, including Ethereum, Solana, or Layer 2 networks. Understanding of DeFi protocols, smart contracts More ❯

performance tuning. Strong experience with configuration management tools (e.g., Terraform, Ansible). Proven track record in CI/CD pipeline design, especially for distributed systems. Experience with cloud platforms (AWS, GCP, or Azure). Proficiency in Python and Golang for automation and tooling. Familiarity with blockchain infrastructure, including Ethereum, Solana, or Layer 2 networks. Understanding of DeFi protocols, smart contracts More ❯

delivery domains Work closely with senior engineers, architects and clients to identify automation and optimisation opportunities Develop models, pipelines and tooling that integrate seamlessly into enterprise-grade cloud environments (AWS, Azure or GCP) Shape and scale the AI roadmap as the team grows, with a clear path to Head of AI You'll have Strong engineering background with experience deploying More ❯

delivery domains Work closely with senior engineers, architects and clients to identify automation and optimisation opportunities Develop models, pipelines and tooling that integrate seamlessly into enterprise-grade cloud environments (AWS, Azure or GCP) Shape and scale the AI roadmap as the team grows, with a clear path to Head of AI You'll have Strong engineering background with experience deploying More ❯

stakeholder management and communication skills Comfortable working in Agile teams Nice to Have: Experience with Fixed Income products or pricing systems Knowledge of Java, microservices, Kafka, or cloud platforms (AWS/GCP More ❯

stakeholder management and communication skills Comfortable working in Agile teams Nice to Have: Experience with Fixed Income products or pricing systems Knowledge of Java, microservices, Kafka, or cloud platforms (AWS/GCP More ❯

component libraries (e.g. Storybook, Material UI, Chakra UI, or similar). Familiarity with frontend state management tools and data-fetching frameworks. Exposure to backend or cloud technologies (e.g. Python, AWS, databases) is highly beneficial. Comfortable leading large-scale frontend projects, setting coding standards, and mentoring other developers. Strong communication skills to collaborate effectively with designers, engineers, and stakeholders If this More ❯

cases across SIEM, EDR, and SOAR platforms. Analyze and investigate alerts across cloud and on-prem infrastructures to identify real threats and eliminate false positives. Strengthen visibility across Azure, AWS, and GCP environments, ensuring comprehensive monitoring and detection coverage. Drive threat hunting activities and develop hypotheses based on attacker TTPs and frameworks like MITRE ATT&CK. Collaborate with incident response More ❯

cases across SIEM, EDR, and SOAR platforms. Analyze and investigate alerts across cloud and on-prem infrastructures to identify real threats and eliminate false positives. Strengthen visibility across Azure, AWS, and GCP environments, ensuring comprehensive monitoring and detection coverage. Drive threat hunting activities and develop hypotheses based on attacker TTPs and frameworks like MITRE ATT&CK. Collaborate with incident response More ❯

component libraries (e.g. Storybook, Material UI, Chakra UI, or similar). Familiarity with frontend state management tools and data-fetching frameworks. Exposure to backend or cloud technologies (e.g. Python, AWS, databases) is highly beneficial. Comfortable leading large-scale frontend projects, setting coding standards, and mentoring other developers. Strong communication skills to collaborate effectively with designers, engineers, and stakeholders If this More ❯

. Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales activities in More ❯

mentoring software engineers. Solid background across the full stack (Ruby, Go, Python, Typescript) Strong grasp of system design, data structures, and scalable architectures. Familiarity with cloud platforms (e.g. GCP, AWS) and AI tooling. A product-focused mindset and passion for solving real-world problems through technology. Why it’s exciting Work at the intersection of AI innovation and social good More ❯

maturity models or capability frameworks. • Understanding of data governance, compliance, and ethical AI practices. • Experience leading or advising multi-team data science organizations. • Knowledge of cloud data science environments (AWS, Azure, GCP). More ❯

. Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales activities in More ❯

maturity models or capability frameworks. Understanding of data governance, compliance, and ethical AI practices. Experience leading or advising multi-team data science organizations. Knowledge of cloud data science environments (AWS, Azure, GCP). More ❯

mentoring software engineers. Solid background across the full stack (Ruby, Go, Python, Typescript) Strong grasp of system design, data structures, and scalable architectures. Familiarity with cloud platforms (e.g. GCP, AWS) and AI tooling. A product-focused mindset and passion for solving real-world problems through technology. Why it’s exciting Work at the intersection of AI innovation and social good More ❯

within the London Insurance Market (Lloyd’s, Managing Agents, or Syndicates). Strong background in software and application architecture , ideally within .NET, Java, or cloud-native environments (Azure/AWS) . Deep understanding of insurance systems — such as policy administration, claims, exposure management, data platforms, and integration frameworks. Experience conducting technology landscape reviews and defining enterprise-level architecture roadmaps. Ability More ❯

Architect within the London Insurance Market (Lloyds, Managing Agents, or Syndicates). Strong background in software and application architecture , ideally within .NET, Java, or cloud-native environments (Azure/AWS) . Deep understanding of insurance systems such as policy administration, claims, exposure management, data platforms, and integration frameworks. Experience conducting technology landscape reviews and defining enterprise-level architecture roadmaps. Ability More ❯

and analysis of sourcing approaches. Proficiency in architecture modeling tools and frameworks (UML, ArchiMate, etc.). Strong commercial acumen, complementing your technical expertise. Extensive experience with technology stacks including AWS, Azure, GCP, and familiarity with emerging trends. Knowledge of microservices, cloud architectures, digital transformation enablement, and IoT. Understanding of the architect's role in agile delivery methodologies. Join and be More ❯

infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private healthcare, and exceptional benefits in More ❯

and analysis of sourcing approaches. Proficiency in architecture modeling tools and frameworks (UML, ArchiMate, etc.). Strong commercial acumen, complementing your technical expertise. Extensive experience with technology stacks including AWS, Azure, GCP, and familiarity with emerging trends. Knowledge of microservices, cloud architectures, digital transformation enablement, and IoT. Understanding of the architect's role in agile delivery methodologies. Join and be More ❯

infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private healthcare, and exceptional benefits in More ❯

development fundamentals. Expertise in Deep Learning, including training, evaluation, and optimisation. Strong grounding in mathematics, statistics, and data analysis. Experience working in Agile environments. Familiarity with technologies such as AWS, GCP, Kubernetes, Ray Serve, and Kubeflow is desirable. ---------------------------------------- Professional Values Growth: Demonstrates curiosity, adaptability, and continuous learning. Accountability: Takes ownership and delivers to a high standard. Innovation: Embraces experimentation and More ❯

maturity models or capability frameworks. • Understanding of data governance, compliance, and ethical AI practices. • Experience leading or advising multi-team data science organizations. • Knowledge of cloud data science environments (AWS, Azure, GCP). Reporting Structure • Reports to: Principal Consultant • Collaborates with: AI Architect , Data & AI Architect , Program Lead , and Training Consultant to integrate practice-level insights into the overall capability More ❯