Future Tech Jobs
Future Tech Jobs
This role involves leading technical engagements with startups and developers in the retail and media and entertainment industries, focusing on AI agents and generative AI applications. Responsibilities include optimizing model performance, building sample applications, and representing NVIDIA at industry events.
As a Data Processing Developer Technology Intern, you will research and develop GPU acceleration techniques for AI and data processing workloads. You will collaborate with technical experts to optimize complex algorithms and contribute to the design of next-generation hardware and software, while also engaging the developer community through publications and presentations.
As a Software Engineer focused on GPU infrastructure, you will play a key role in designing, optimizing, and managing the large-scale AI/ML infrastructure that powers Isomorphic Labs' groundbreaking research. You will collaborate with machine learning experts, biotech researchers, and cross-functional teams to ensure the reliability and efficiency of our AI models and cloud infrastructure.
As a Senior Software Engineer on the Core Services team, you will design and build enterprise-grade systems for secure, permissioned collaboration in a multi-tenant environment. Your responsibilities include implementing robust authentication, authorization, and access control systems, as well as building telemetry infrastructure for deep observability. You will also contribute to the overall architecture and best practices in CI/CD, automated testing, and infrastructure-as-code.
As a Senior Software Engineer in the Sync Learning and Impact squad, you will architect and develop critical features for coach-to-learner and coach-to-manager interactions. Your role involves mentoring mid-level engineers, defining technical roadmaps, and ensuring high-quality, scalable systems using Elixir, React, and TypeScript.
In this role, you will design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure. You will develop core services and APIs, architect scalable distributed systems, and optimize backend performance for latency, throughput, and cost.
This role involves working on core enterprise platform systems, focusing on backend services to ensure security, reliability, and scalability for large customers. You will collaborate with product, security, and infrastructure teams to translate business requirements into technical solutions, while owning and improving systems in production.
This role involves working on core enterprise platform systems, focusing on security, reliability, and scalability for large customers. You will contribute to new APIs, own long-term projects, and collaborate with product, security, and infrastructure teams to translate business requirements into technical solutions.
As a Senior or Principal Software Engineer, you will lead the development of a robust and scalable ML platform, focusing on infrastructure stability and reliability. You will work closely with research and applied ML teams to ensure the infrastructure can handle large-scale AI models and data, while also improving CI/CD processes and monitoring systems.
P-1127At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our...
RDQ127R176At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the...
This role involves building AI-driven onboarding and engagement systems to scale learner experiences on a high-impact edtech platform. You'll work across the full stack to design adaptive learning flows, integrate LLMs into production systems, and ship features that directly improve user outcomes. The team operates with high autonomy, focusing on rapid experimentation, technical excellence, and AI-augmented development.
This role involves a 3-month training programme to learn practical AI and software engineering skills, followed by hands-on work on real projects under the guidance of experienced engineers. Responsibilities include developing and testing AI applications, writing and debugging code, and supporting data preparation tasks. The role is ideal for those new to tech, offering a structured path into the industry with a focus on continuous learning and career growth.
This role involves leading the technical strategy for ML/AI use cases in the UK, coordinating ML engineering efforts across multiple teams, and providing technical consultancy. You will drive MLOps standards, collaborate with data science teams, and represent Capital One in external ML/AI forums.
This role involves leading the technical strategy for ML/AI use cases in the UK, coordinating ML engineering efforts across multiple teams, and providing technical consultancy. You will drive MLOps standards, collaborate with data science teams, and mentor engineers to foster a culture of continuous learning.
