Top AWS Jobs in London

As a Senior Backend Developer at Awarri, you'll build and maintain backend systems for AI platforms, focusing on scalable architectures, data integration, and real-time communication.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

The role involves contributing Go code, collaborating with teams, building features, improving system performance, and maintaining AWS infrastructure.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

As a Solutions Engineer, you will lead technical discovery, drive Proof of Concepts, demonstrate the PerfectScale platform, and develop business cases for Kubernetes optimization, focusing on customer success and achieving technical wins.

The AI Implementation Engineer delivers and stabilizes AI solutions in customer environments, ensuring integrations and workflows meet requirements while coaching customer teams during critical phases.

The Sr. Software Engineer (FE) will lead the development of scalable frontend applications using React. Responsibilities include systems design, testing strategy, performance optimization, AI integration, and mentoring.

As a Junior iOS Engineer, you will deliver new functionality for the Trainline app, maintain code quality, collaborate with cross-functional teams, and support team members through mentoring and knowledge sharing.

In this pre-sales role, you will leverage AI and NLP expertise to design solutions for clients, coordinate with teams, present customer proposals, and ensure successful project implementation.

As a Senior DevOps Engineer, you'll develop tools for monitoring, contribute to architecture design, manage cloud infrastructure, and streamline operations, focusing on technical challenges in a trading platform.

As a Staff Software Engineer at The Trade Desk, you will design, build, and deliver data-focused products, contribute to solution design, and mentor other engineers. You will work on large-scale distributed systems and collaborate in a diverse team environment to solve complex problems.

As a Senior Backend Engineer, you will design solutions, produce quality code, manage production incidents, mentor colleagues, and work with diverse tech stacks.

The Staff Support Engineer will manage escalations, influence cross-functional relationships, mentor engineers, and improve operational practices to enhance customer experience and product supportability.

Design, develop, and deploy software solutions while collaborating with teams, contributing to technical discussions, and enhancing engineering best practices.

As a Data Engineer, you will design and build data pipelines, models, and infrastructure for analytics and machine learning while ensuring data quality and compliance.

As a Staff Software Engineer, you will influence technical direction, improve system scalability, and lead AI integration efforts across multiple teams at Carta.

The Lead Software Engineer will drive technical strategy, own high-impact projects, mentor team members and foster a supportive culture for engineering excellence.

Lead Java Developer responsible for delivering Real-Time and On-Demand Risk enhancements, managing the full development lifecycle, collaborating with global teams, and driving operational improvements.

The Quant Developer will design and deliver trading analytics tools, build data pipelines, develop backtesting frameworks, and optimize quantitative applications for the Equities Tech team at Citi.

The IT Operations Manager will lead IT operations for West Coast offices, managing device lifecycle, user support, identity management, and vendor relations.

Design, develop, and deploy intelligent AI agents, optimize large language models, enable collaboration in customer interactions, and maintain backend systems.

As Lead Software Engineer, you'll automate finance and operations workflows by designing Python services, working closely with stakeholders, and leading a small team.

Lead a team of applied scientists to develop computer vision and ML models, focusing on vision-language models and efficient model training while driving research and product development.

The role involves ensuring the reliability and scalability of the LSEG Workspace platform using cloud technologies like AWS and Azure, applying Site Reliability Engineering principles, and collaborating to enhance service observability and security practices.

The Senior Technical Product Manager will develop product strategy for cloud platforms, prioritize the product roadmap, and collaborate with engineering teams to innovate and enhance cloud services for LSEG.