This internship involves researching and developing GPU-accelerated techniques for deep learning, machine learning, and AI workloads. You will collaborate with technical experts to optimize complex algorithms, publish findings, and influence the design of next-generation hardware and software.
This internship involves researching and developing GPU acceleration techniques for AI workloads, collaborating with technical experts, and optimizing complex algorithms. You will also publish optimization techniques and influence the design of next-generation hardware and software.
This role involves building and maintaining the MLOps and deployment infrastructure that supports data science teams in transitioning machine learning models from exploration to production. The engineer will work across multiple cloud platforms, design containerised microservices architectures, and implement DevSecOps and infrastructure-as-code practices. Collaboration with customer-facing teams ensures platform solutions are scalable, secure, and effectively integrated into client environments.
This role offers UK defence veterans in their final 12 months of service a one-week unpaid civilian work attachment at a leading AI company. Participants gain structured exposure to roles, teams, and processes within the Defence Business Unit, learning how AI is applied to military and defence challenges such as intelligence analysis, autonomous systems, and decision support. The placement is designed for career transition insight, not ongoing employment.
Lead a team of data scientists focused on applying machine learning and large language models to cybersecurity challenges, including malware detection, behavioral threat analysis, and AI-driven security automation. Translate business needs into technical research objectives and collaborate across security, engineering, and product teams to deliver production ML systems at scale. Work on high-impact problems involving reverse engineering, decompilation, and adversarial dynamics within a platform processing trillions of daily events.
Lead the development and execution of energy procurement and grid connection strategies for Anthropic's AI compute infrastructure across multiple European jurisdictions. Drive multi-hundred megawatt power capacity acquisition, engage with transmission and distribution system operators, regulators, and shape energy policy to accelerate data center energization. Partner with engineering teams to align energy market dynamics with aggressive deployment timelines.
The Associate Solutions Architect role involves driving the adoption of Claude Code, a cutting-edge AI coding assistant, across enterprise customers. Responsibilities include leading technical workshops, conducting discovery calls, and providing hands-on support during customer evaluations to enhance developer productivity.
The Client Success Director ensures banks successfully adopt and scale Thought Machine's cloud-native core banking platform, driving delivery outcomes, client satisfaction, and long-term value. This role leads governance, manages cross-functional teams, and oversees platform stability and commercial performance throughout multi-year engagements. It requires deep expertise in banking transformation and strong leadership in complex, regulated environments.
This role involves leading the resolution of complex technical incidents for Thought Machine's cloud-native banking platform, supporting both SaaS and self-hosted deployments of Vault. The engineer will drive improvements in observability, automation, and support processes while collaborating closely with engineering and client teams. It requires deep technical expertise in cloud infrastructure, distributed systems, and incident leadership.
This role involves developing and optimizing machine learning systems for document classification and extraction, with a focus on fraud detection in identity verification. The engineer will work on production-scale LLM and traditional ML pipelines, improving accuracy and performance across global document types. Collaboration with cross-functional teams and mentorship of junior engineers are key aspects of the position.
Design and build production-grade machine learning systems for document classification and extraction, focusing on high accuracy and scalability across global identity documents. Work with LLMs and traditional ML models, optimize inference pipelines, and collaborate with cross-functional teams to enhance fraud detection and customer onboarding. Emphasis on technical leadership, system reliability, and mentoring within a squad-based engineering culture.
The Applied AI Architect role involves partnering with enterprise customers to identify and implement AI solutions, guiding them from pre-sales to production. Responsibilities include technical strategy, architecture development, and stakeholder engagement, with a focus on measurable business impact.
Develop AI-driven video processing solutions within a deep tech environment, focusing on scalable media delivery and real-time systems. Work with Python and modern cloud infrastructure, integrating AI and video technologies to enhance content delivery. Collaborate on building maintainable, tested software for immersive media platforms.
Lead end-to-end deployment of a Kubernetes-based AI simulation platform into customer environments, serving as the primary technical liaison with CIOs and CTOs while building and scaling a regional deployment engineering team. Responsibilities include navigating complex security and compliance landscapes, overseeing infrastructure provisioning on cloud and on-prem platforms, enabling smooth platform version upgrades, and ensuring deployment success in regulated industries such as Aerospace, Energy, and Semiconductors.
The Senior Channel Manager will lead the development and execution of Tesco Media's Connected Store channel, focusing on in-store media innovations such as digital screens and experiential activations. The role involves driving end-to-end innovation projects, defining measurement frameworks, and collaborating with cross-functional teams and external partners to deliver data-driven, commercially impactful retail media solutions.
