Latest E-commerce Jobs

Staff Research Engineer - Multimodal Generative Modelling

This role involves advancing multimodal generative models that enable natural, real-time interactive conversations combining voice, text, and video. The engineer will lead research in streaming, low-latency systems, design novel architectures using diffusion and neural codecs, and ship end-to-end models into production. Emphasis is placed on emotional expressiveness, conversational realism, and tight integration across audio-visual modalities.

Synthesia London, United Kingdom
Remote Permanent

Strategic Account Executive

Drive land-and-expand sales strategies for enterprise clients with over 10,000 employees, focusing on AI-powered video solutions. Collaborate with Customer Success to ensure adoption, retention, and growth. Operate in a high-growth, value-driven SaaS environment using methodological sales frameworks.

Synthesia New York City, New York, United States
Hybrid Permanent

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance credit underwriting, using non-traditional data and advanced neural networks. Translate R&D into production systems while mentoring junior scientists and collaborating with stakeholders. Work across structured and unstructured data, including time series and text, to deliver predictive insights.

Capital One Leicester, Leicestershire, United Kingdom

Lead Data Scientist /Deep Learning Practitioner

Lead the development of deep learning models to enhance underwriting capabilities, focusing on non-traditional data and advanced neural networks. Translate R&D into production solutions while mentoring junior scientists and collaborating across functions. Work with time series, text, and multi-modal data using frameworks like PyTorch and TensorFlow.

Capital One Spondon, Derbyshire, United Kingdom
Databricks logo

AI Forward Deployed Engineer - London

This role involves developing and deploying cutting-edge GenAI solutions for customers, collaborating with product and engineering teams, and presenting at industry conferences. The ideal candidate has extensive experience with GenAI tools and platforms, a passion for collaboration, and a graduate degree in a quantitative field.

Databricks London, United Kingdom
Databricks logo

Staff Software Engineer - Backend

This role involves building and improving large-scale distributed systems for Databricks' Lakehouse Platform, focusing on backend services that enable secure, high-performance data storage and access across cloud infrastructures. You'll work on reliability, scalability, and developer experience, tackling challenges from infrastructure to product features. As a founding team member in London, you'll help shape the future of a unified data and AI platform.

Databricks London, United Kingdom
On-site Permanent

Research Engineer - Data Infrastructure

This role involves building and maintaining large-scale data infrastructure to support cutting-edge AI models, with a focus on data pipelines, curation strategies, and tooling for processing massive datasets. The engineer will develop classifiers and quality filters, design deduplication and augmentation systems, and enable efficient data exploration. The work directly impacts model performance through high-quality, scalable data engineering and infrastructure innovation.

ElevenLabs United Kingdom
Remote Permanent
Wayve logo

Controls Engineer

Develops and refines vehicle trajectory and motion controllers that translate AI outputs into safe, smooth vehicle motion across diverse platforms. Works on real-time control systems using C++, integrating with AI-driven components and validating performance through simulation and on-road testing. Collaborates across teams to support new vehicle platforms and enhance control software architecture.

Wayve London, United Kingdom
Wayve logo

Staff Research Scientist, Reinforce Learning

This role involves developing and advancing AI systems for autonomous driving, focusing on areas like world modeling, reinforcement learning, and spatial intelligence. You'll work on cutting-edge research and real-world deployment, contributing to the future of embodied AI.

Wayve London, United Kingdom

Staff Software Engineer, Kubernetes Platform

This role involves owning and scaling the Kubernetes control plane for large AI training clusters, including customizing the scheduler for topology-aware ML workloads and ensuring high availability under extreme scale. The engineer will build core platform services like service discovery, develop controllers and operators, and collaborate closely with research and infrastructure teams. The position demands deep expertise in distributed systems, Kubernetes internals, and debugging complex production issues across cloud environments.

Anthropic London, United Kingdom £325,000 – £485,000 pa
On-site Permanent

Applied AI Engineer, Beneficial Deployments (Lab Automation)

This role involves deploying AI to automate scientific experiments in labs, working closely with researchers to integrate Claude into their workflows. Responsibilities include prototyping, writing production code, and driving product and research direction based on field experience.

Anthropic London, United Kingdom

Machine Learning Team Lead

As a Machine Learning Team Lead, you will guide a team of ML engineers in developing and deploying cutting-edge speech recognition models. You will mentor the team, ensure robust and scalable solutions, and drive the adoption of best practices in software engineering and ML.

Speechmatics Cambridge, United Kingdom

Machine Learning Team Lead

As a Machine Learning Team Lead, you will guide a team of ML engineers in developing and deploying cutting-edge speech recognition models. Your responsibilities include technical oversight, mentoring, and ensuring best practices in software engineering and model deployment.

Speechmatics London, United Kingdom

PhD Robotics Engineering (2027 start)

This internship involves hands-on work with robotic learning systems, from data collection and model training to real-world deployment. You'll collaborate with a team of experts on diverse projects, using cutting-edge technology to solve real-world problems in healthcare and industry.

Cambridge Consultants United Kingdom
On-site Internship Flexible

Lead Machine Learning Engineer - Retail

Lead Machine Learning Engineer to define technical direction and deliver complex AI solutions for retail clients. Design scalable ML systems, mentor engineering teams, and drive innovation through reusable tools and cloud-native architectures. Work in high-risk, ambiguous environments to solve real-world business problems with responsible AI.

Faculty London, United Kingdom
On-site Permanent