Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. Collaboration with cross-functional teams and conducting original research are key aspects of this role.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and scaling workloads across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
This role involves defining and maturing the automotive product security framework for Wayve’s AI-driven vehicle software, ensuring compliance with standards like ISO 21434 and UNECE R155 across R&D, robotaxi, and OEM programmes. The lead will guide teams on cybersecurity practices, assure cybersecurity cases, and translate regulatory and customer requirements into practical implementation, balancing rigour with agility in a fast-moving environment.
As a Senior Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of their AI cloud platform, focusing on the Model Development Platform and GPU Compute platform. You will define operational standards, improve capacity planning, and ensure resilient and efficient cloud infrastructure, working closely with ML and platform teams.
The Client Success Managing Director leads the regional Client Success function, ensuring the overall success and profitability of client relationships. This role involves P&L responsibility, strategic leadership, and direct management of Client Success Directors, while representing the company at client steering committees and executive forums.
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 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.
