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.
Build and maintain full-stack components for AI-powered creative tools including image, video, audio, and generative workflows. Work across API, UI, and infrastructure layers with high ownership, contributing to new product development and scaling enterprise solutions. Collaborate closely with engineering, growth, and sales teams to solve customer and internal workflow challenges.
This role involves coordinating the external storytelling and event presence for ElevenLabs' Impact program. Responsibilities include managing documentary case studies, planning and executing conferences, supporting PR efforts, and ensuring all content aligns with the brand's high standards. The role requires a blend of project management, creative direction, and strong communication skills.
As a Staff ML Engineer on the Gaia team, you will lead and execute large-scale training runs for video foundation models, contribute to model architecture and training strategies, and improve synthetic scenario generation capabilities. You will work closely with research, applications, simulation engineering, and cloud/infrastructure teams to deliver end-to-end impact and provide technical leadership through mentorship and setting high engineering standards.
Design and build large-scale, distributed data transfer pipelines for petabyte-level sensor data from global partners, using Flyte, Kafka, and Azure. Develop reliable, observable systems with Terraform and Python, supporting Wayve's AI model training at scale through a hub-and-spoke data exchange architecture.
This role involves designing and scaling Kubernetes-based hybrid compute clusters across private and public clouds, building core platform services, and supporting machine learning workflows. The engineer will enhance CI/CD pipelines, implement monitoring and disaster recovery systems, and collaborate closely with data science and ML teams to optimize infrastructure for drug discovery. The position is central to enabling scalable, secure, and reliable computational platforms for biomedical innovation.
Develop and apply advanced machine learning models to DNA and genetic data to uncover associations between genetic variants and diseases. Collaborate with computational and experimental scientists to validate hypotheses and integrate ML into target discovery pipelines. Work on sequence modelling tasks such as variant interpretation, gene discovery, and regulatory mechanism analysis using large-scale genomic datasets.
Act as a Cloud Support Engineer providing 24/7 technical support for a cloud-native banking platform. Diagnose and triage infrastructure, platform, and application-level issues using observability tools, manage incident resolution, and support clients through product installation, upgrades, and production rollouts. Collaborate with engineering teams to resolve incidents and improve system reliability.
Lead the development and deployment of cutting-edge, production-grade machine learning systems for high-impact clients, particularly in the defence sector. Design scalable ML infrastructure, define best practices for ML deployment, and act as a technical advisor while mentoring junior engineers. Work in a cross-functional environment with strong emphasis on ethical, reliable AI and client collaboration.
Leads the technical direction and delivery of complex machine learning projects, designing scalable and reliable AI systems while guiding architectural decisions and mentoring engineering teams. Focuses on building reusable solutions and driving innovation within regulated environments across financial services and other sectors. Works closely with clients and stakeholders to translate strategic goals into practical, high-impact AI implementations.
This role involves working on a large-scale, modern technology environment, designing, building, governing, and operating data and ML platforms. Opportunities span architecture, engineering, security, operations, and service delivery, catering to both hands-on technical specialists and experienced leaders.
Design and optimize GPU communication kernels for large-scale AI systems, focusing on low-level performance, memory efficiency, and integration with high-speed networking. Collaborate across hardware, software, and AI teams to co-develop GPU-aware communication primitives and programming models. Profile and tune end-to-end performance across compute, memory, and network boundaries to enable next-generation AI workloads.
This is a fantastic opportunity to join market-leading UK AI company, Luminance. Named in Tech Nation’s prestigious Future Fifty list and the recipient of two Queen’s Awards, Luminance is the world’s most advanced AI technology which is disrupting the legal...
This role involves maintaining and improving highly automated mechanical handling equipment in a large-scale Customer Fulfilling Center, with a focus on minimizing downtime through reactive and planned maintenance. The engineer will diagnose and repair complex mechanical and electrical faults, support system commissioning, and mentor junior staff. Work is conducted on advanced robotics and conveyor systems within a 24/7 operational environment.
The Maintenance Engineer supports the operation of a highly automated Customer Fulfillment Center by performing electrical and mechanical maintenance, diagnosing equipment faults, and carrying out planned and reactive repairs. The role involves working with advanced robotics systems, analyzing performance data, and contributing to continuous improvement initiatives. Candidates must be comfortable working nights, weekends, and at heights during shifts.
