2,351 to 2,375 of 3,894 AWS Jobs in London

core platform used by quant researchers and traders across desks and regions. What You’ll Be Driving Architect and build a global Lakehouse platform (Data Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross … Bring 5+ years building data platforms in systematic trading, fintech, or high-throughput environments Mastery of Python and SQL – C++ is a plus Experience with cloud-native stacks (ideally AWS ) and interest in infrastructure as code A structured, pragmatic mindset with strong ownership and autonomy Ability to work closely with front-office teams and iterate fast Finance background is a More ❯

core platform used by quant researchers and traders across desks and regions. What You’ll Be Driving Architect and build a global Lakehouse platform (Data Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross … Bring 5+ years building data platforms in systematic trading, fintech, or high-throughput environments Mastery of Python and SQL – C++ is a plus Experience with cloud-native stacks (ideally AWS ) and interest in infrastructure as code A structured, pragmatic mindset with strong ownership and autonomy Ability to work closely with front-office teams and iterate fast Finance background is a More ❯

core platform used by quant researchers and traders across desks and regions. What You’ll Be Driving Architect and build a global Lakehouse platform (Data Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross … Bring 5+ years building data platforms in systematic trading, fintech, or high-throughput environments Mastery of Python and SQL – C++ is a plus Experience with cloud-native stacks (ideally AWS ) and interest in infrastructure as code A structured, pragmatic mindset with strong ownership and autonomy Ability to work closely with front-office teams and iterate fast Finance background is a More ❯

AI Products. They are looking for a Java Developers, ideally with some React.JS to join their team Year's of experience - 1-5 years Stack; Java 17/21 AWS TDD CI/CD React.js/TypeScript This role is 3 days a week in the office (London) and 2 days WFH 80k + Pension 2 stage interview process More ❯

AI Products. They are looking for a Java Developers, ideally with some React.JS to join their team Year's of experience - 1-5 years Stack; Java 17/21 AWS TDD CI/CD React.js/TypeScript This role is 3 days a week in the office (London) and 2 days WFH 80k + Pension 2 stage interview process More ❯

quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in … Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private More ❯

quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in … Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private More ❯

quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in … Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private More ❯

quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in … Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private More ❯

What you’ll be doing Defining and delivering enterprise-level AI/ML security strategy and architecture Designing secure AI/ML models, pipelines, and cloud infrastructures across Azure, AWS and GCP Leading complex AI risk assessments, adversarial testing, and governance initiatives Embedding ethical AI principles and regulatory compliance (EU AI Act, GDPR, ISO 27001) Influencing senior stakeholders on secure … security, and adversarial machine learning Strong grasp of ethical AI frameworks, governance, and compliance standards Professional certifications such as CISSP, CISM, TOGAF, or SABSA preferred Cloud security experience (Azure, AWS, or GCP) Must be eligible to obtain UK SC Clearance The Package Up to £115,000 + package Hybrid working from London Exposure to cutting-edge AI security programmes across More ❯

What you’ll be doing Defining and delivering enterprise-level AI/ML security strategy and architecture Designing secure AI/ML models, pipelines, and cloud infrastructures across Azure, AWS and GCP Leading complex AI risk assessments, adversarial testing, and governance initiatives Embedding ethical AI principles and regulatory compliance (EU AI Act, GDPR, ISO 27001) Influencing senior stakeholders on secure … security, and adversarial machine learning Strong grasp of ethical AI frameworks, governance, and compliance standards Professional certifications such as CISSP, CISM, TOGAF, or SABSA preferred Cloud security experience (Azure, AWS, or GCP) Must be eligible to obtain UK SC Clearance The Package Up to £115,000 + package Hybrid working from London Exposure to cutting-edge AI security programmes across More ❯

What you’ll be doing Defining and delivering enterprise-level AI/ML security strategy and architecture Designing secure AI/ML models, pipelines, and cloud infrastructures across Azure, AWS and GCP Leading complex AI risk assessments, adversarial testing, and governance initiatives Embedding ethical AI principles and regulatory compliance (EU AI Act, GDPR, ISO 27001) Influencing senior stakeholders on secure … security, and adversarial machine learning Strong grasp of ethical AI frameworks, governance, and compliance standards Professional certifications such as CISSP, CISM, TOGAF, or SABSA preferred Cloud security experience (Azure, AWS, or GCP) Must be eligible to obtain UK SC Clearance The Package Up to £115,000 + package Hybrid working from London Exposure to cutting-edge AI security programmes across More ❯

What you’ll be doing Defining and delivering enterprise-level AI/ML security strategy and architecture Designing secure AI/ML models, pipelines, and cloud infrastructures across Azure, AWS and GCP Leading complex AI risk assessments, adversarial testing, and governance initiatives Embedding ethical AI principles and regulatory compliance (EU AI Act, GDPR, ISO 27001) Influencing senior stakeholders on secure … security, and adversarial machine learning Strong grasp of ethical AI frameworks, governance, and compliance standards Professional certifications such as CISSP, CISM, TOGAF, or SABSA preferred Cloud security experience (Azure, AWS, or GCP) Must be eligible to obtain UK SC Clearance The Package Up to £115,000 + package Hybrid working from London Exposure to cutting-edge AI security programmes across More ❯

Java Developer – upto £140k plus shares Java21, Springboot, Microservices, TDD, AWS A well-funded, product-led tech startup is building a next-generation financial platform designed to serve millions across emerging markets. Their mission is to simplify access to stable, secure digital finance, enabling users to save, transact, and grow their money with confidence. We’re looking for x8 Java … deep experience in Java (17+), a strong grasp of distributed systems, and a passion for building infrastructure that performs under pressure. Tech stack includes: Java 21, Springboot, Microservices, TDD, AWS, React. This is a mostly remote role with one day a week in office, with flexible hours, competitive salaries, and the opportunity to shape a platform that’s expanding rapidly More ❯

Java Developer – upto £140k plus shares Java21, Springboot, Microservices, TDD, AWS A well-funded, product-led tech startup is building a next-generation financial platform designed to serve millions across emerging markets. Their mission is to simplify access to stable, secure digital finance, enabling users to save, transact, and grow their money with confidence. We’re looking for x8 Java … deep experience in Java (17+), a strong grasp of distributed systems, and a passion for building infrastructure that performs under pressure. Tech stack includes: Java 21, Springboot, Microservices, TDD, AWS, React. This is a mostly remote role with one day a week in office, with flexible hours, competitive salaries, and the opportunity to shape a platform that’s expanding rapidly More ❯

team what to do, run some whiteboard design sessions (realising you've used a permanent marker, you quickly leave the room) Qualifications Data Warehousing, Data Modelling, Database Design, ETL AWS Redshift, AWS Glue, S3, SQL Server, Power BI Cloud/DevOps AWS, Docker, Terraform Bitbucket, Bamboo, CI/CD deploy pipeline Agile, pair programming, code reviews Additional Information Were a More ❯

and delivery. Key Responsibilities Lead client engagements focused on data architecture and modernisation. Define enterprise data strategies, architecture principles, and implementation roadmaps. Design and deliver cloud-native data platforms (AWS, Azure, GCP) and integration frameworks. Embed governance, security, and metadata management into architecture design. Translate complex technical concepts into business outcomes for stakeholders. Oversee project delivery and mentor junior consultants. … data stacks. Proven ability to design and implement scalable, secure, and governed data solutions. Excellent communication and stakeholder engagement skills. Desirable Skills Professional certifications in cloud or data architecture (AWS, Azure, GCP, Databricks). Experience designing data lakes, data meshes, or large-scale migration programmes . Familiarity with graph data models , semantic modelling , or metadata tools . Background in consulting More ❯

and delivery. Key Responsibilities Lead client engagements focused on data architecture and modernisation. Define enterprise data strategies, architecture principles, and implementation roadmaps. Design and deliver cloud-native data platforms (AWS, Azure, GCP) and integration frameworks. Embed governance, security, and metadata management into architecture design. Translate complex technical concepts into business outcomes for stakeholders. Oversee project delivery and mentor junior consultants. … data stacks. Proven ability to design and implement scalable, secure, and governed data solutions. Excellent communication and stakeholder engagement skills. Desirable Skills Professional certifications in cloud or data architecture (AWS, Azure, GCP, Databricks). Experience designing data lakes, data meshes, or large-scale migration programmes . Familiarity with graph data models , semantic modelling , or metadata tools . Background in consulting More ❯

and delivery. Key Responsibilities Lead client engagements focused on data architecture and modernisation. Define enterprise data strategies, architecture principles, and implementation roadmaps. Design and deliver cloud-native data platforms (AWS, Azure, GCP) and integration frameworks. Embed governance, security, and metadata management into architecture design. Translate complex technical concepts into business outcomes for stakeholders. Oversee project delivery and mentor junior consultants. … data stacks. Proven ability to design and implement scalable, secure, and governed data solutions. Excellent communication and stakeholder engagement skills. Desirable Skills Professional certifications in cloud or data architecture (AWS, Azure, GCP, Databricks). Experience designing data lakes, data meshes, or large-scale migration programmes . Familiarity with graph data models , semantic modelling , or metadata tools . Background in consulting More ❯

and delivery. Key Responsibilities Lead client engagements focused on data architecture and modernisation. Define enterprise data strategies, architecture principles, and implementation roadmaps. Design and deliver cloud-native data platforms (AWS, Azure, GCP) and integration frameworks. Embed governance, security, and metadata management into architecture design. Translate complex technical concepts into business outcomes for stakeholders. Oversee project delivery and mentor junior consultants. … data stacks. Proven ability to design and implement scalable, secure, and governed data solutions. Excellent communication and stakeholder engagement skills. Desirable Skills Professional certifications in cloud or data architecture (AWS, Azure, GCP, Databricks). Experience designing data lakes, data meshes, or large-scale migration programmes . Familiarity with graph data models , semantic modelling , or metadata tools . Background in consulting More ❯

data and AI innovation needs. Data & AI Solution Design Lead the design and development of secure, high-performance data pipelines, data lakes, and AI platforms using modern cloud technologies (AWS, Azure, or GCP). Define architecture patterns for data ingestion, transformation, and AI model deployment aligned with data governance policies. Develop technical specifications and blueprints that support scalable AI development. … years of experience in IT architecture, data engineering, or software engineering, including 7+ years focused on data and AI architecture . Proven track record in cloud-based data platforms (AWS, Azure, or GCP). Strong expertise in data modeling, warehousing, integration, and governance . Hands-on experience with SQL/NoSQL databases , data security , and performance optimization . Strong understanding More ❯

data and AI innovation needs. Data & AI Solution Design Lead the design and development of secure, high-performance data pipelines, data lakes, and AI platforms using modern cloud technologies (AWS, Azure, or GCP). Define architecture patterns for data ingestion, transformation, and AI model deployment aligned with data governance policies. Develop technical specifications and blueprints that support scalable AI development. … years of experience in IT architecture, data engineering, or software engineering, including 7+ years focused on data and AI architecture . Proven track record in cloud-based data platforms (AWS, Azure, or GCP). Strong expertise in data modeling, warehousing, integration, and governance . Hands-on experience with SQL/NoSQL databases , data security , and performance optimization . Strong understanding More ❯

reliability, performance, and efficiency through automation and tooling. Work closely with trading and development teams to ensure seamless operation of live trading systems. Manage configuration and deployment processes across AWS-based infrastructure. Implement observability tools to enhance system monitoring and debugging capabilities. Ensure fault tolerance, redundancy, and high availability for critical trading systems. Support and enhance infrastructure for both C … Qualifications Strong programming skills in Python, with the ability to read and understand C/C++ code. Deep understanding of Linux systems. Experience managing deployments and configuration management in AWS and/or on-premise clusters. Proficiency in monitoring, logging, and alerting solutions to maintain high system uptime. Strong background in networking fundamentals, including TCP/IP and system performance More ❯

data and AI innovation needs. Data & AI Solution Design Lead the design and development of secure, high-performance data pipelines, data lakes, and AI platforms using modern cloud technologies (AWS, Azure, or GCP). Define architecture patterns for data ingestion, transformation, and AI model deployment aligned with data governance policies. Develop technical specifications and blueprints that support scalable AI development. … years of experience in IT architecture, data engineering, or software engineering, including 7+ years focused on data and AI architecture . Proven track record in cloud-based data platforms (AWS, Azure, or GCP). Strong expertise in data modeling, warehousing, integration, and governance . Hands-on experience with SQL/NoSQL databases , data security , and performance optimization . Strong understanding More ❯

data and AI innovation needs. Data & AI Solution Design Lead the design and development of secure, high-performance data pipelines, data lakes, and AI platforms using modern cloud technologies (AWS, Azure, or GCP). Define architecture patterns for data ingestion, transformation, and AI model deployment aligned with data governance policies. Develop technical specifications and blueprints that support scalable AI development. … years of experience in IT architecture, data engineering, or software engineering, including 7+ years focused on data and AI architecture . Proven track record in cloud-based data platforms (AWS, Azure, or GCP). Strong expertise in data modeling, warehousing, integration, and governance . Hands-on experience with SQL/NoSQL databases , data security , and performance optimization . Strong understanding More ❯