Top AI Engineer Jobs in London

Design and build scalable microservices, APIs, and data pipelines for high-dimensional simulation data. Implement data storage and ingestion for ML workloads, enable BI and visualization tools, own features end-to-end, maintain CI/CD and observability, and collaborate with data scientists to ensure secure, reliable, performant systems.

Lead the development of AI models for drug discovery, optimize performance, collaborate across teams, and drive innovation in healthcare.

Design, implement, and optimize AI/LLM workflows and infrastructure. Collaborate across teams to integrate models into production, document best practices, and optimize performance and costs.

Build and maintain the firm's core AI/ML platform, develop and deploy GenAI/ML applications and agents, partner with research/trading/ops stakeholders, monitor applied AI advances, and drive adoption of AI tools across the business.

The Software Engineer will design, develop, and optimize generative AI applications and services, collaborating with teams to implement AI solutions and maintain high-performance systems.

The Staff Software Engineer will design and build secure, scalable services for enterprise administration, focusing on identity, billing, and authentication. Responsibilities include making system design decisions, optimizing APIs, and ensuring production reliability. A collaborative mindset is necessary to work with cross-functional teams and mentor junior engineers while driving improvements in system performance and maintainability.

As an AI Solutions Engineer, you'll design AI solutions, run technical discovery, and guide customers on integrations and workflows to drive value with V7 Go.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

The Staff Product Engineer will build AI-powered products, collaborate with ML scientists, contribute to software development phases, and mentor other engineers.

Develop and apply machine learning solutions for autonomous driving, collaborating with teams to design, train, and evaluate ML models.

Conduct applied research in machine learning for autonomous driving, focusing on large deep learning models and their deployment. Collaborate with teams to enhance model performance.

Design and implement reliable production AI systems, lead development of natural-language interfaces, and mentor engineers. Collaborate across teams to create scalable AI solutions and instill engineering best practices.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

Design, build, and maintain scalable data pipelines and services for large-scale search and analytics. Develop batch and ELT/ETL workflows, use Spark, Airflow, Python/Java, and AWS, apply engineering best practices, and collaborate with product and data science teams.

Design, build, and maintain scalable data ingestion and ELT pipelines on cloud platforms (AWS, Snowflake). Implement dbt transformations, ensure data quality and monitoring, develop APIs and internal services, apply CI/CD and infra-as-code practices, integrate AI/automation, and mentor junior engineers while collaborating with product and analytics teams.

Lead design, development, and deployment of scalable, AI-driven backend features for the Alli platform. Architect microservices and APIs, mentor engineers, run code reviews, and collaborate with product, design, and cross-functional teams to deliver production-ready solutions using cloud, containerization, and AI technologies.

The Quantitative Developer will build AI and ML models for investment strategies, collaborating across departments to implement AI solutions.

As a Senior AI-Native Engineer, you will design and build AI-powered systems, support the development lifecycle, and enhance workflow through AI. You will partner with teams to implement AI practices and deliver AI-enabled solutions, contributing to the company's adoption of AI technologies.

The Senior Applied AI Solution Engineer will design, develop, and lead AI applications, mentor engineers, and communicate with clients to align AI strategies with business objectives.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

Build backend services to integrate AI capabilities within payroll workflows, collaborating with ML engineers to develop AI-powered tools.

The AI Senior Solutions Engineer will engage with customers to understand their needs, design and implement automation solutions, and provide technical advice, while also contributing to product development and market strategies.

Lead AI-enabled engineering initiative, designing multi-agent systems for software development, integrating AI tools, and collaborating across teams to innovate workflows.

The Staff Software Engineer will develop AI tools integrated with game engines and services, focusing on C++ and automation for game development.