Future Tech Jobs
Future Tech Jobs
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
This role involves building and scaling the reliability foundations of Wayve's AI cloud platform, including the Model Development Platform and GPU Compute platform. Responsibilities include defining SLOs, improving capacity planning, leading incident response, and enhancing observability and automation. The position is ideal for someone with experience in SRE, large-scale cloud systems, and GPU-backed environments.
As a Staff ML Performance Engineer, you will focus on optimizing machine learning inference for edge devices and GPUs, working on large transformer-based models. You will collaborate with model developers, profile and optimize the full inference stack, and contribute to technical roadmaps and tooling.
Leads the creation and scaling of a forward-deployed engineering team focused on implementing complex AI solutions within enterprise clients. Combines technical leadership with client engagement to shape AI delivery frameworks and influence architecture across high-profile deployments. Builds engineering standards and repeatable processes for large-scale AI platform integration.
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.
As a Lead Engineer on the Application Platform Team, you will guide the development of a modern, unified intelligence layer for AI and real-time data. You will work closely with platform, product, and data teams to deliver scalable, production-ready solutions while fostering a collaborative, high-performing engineering environment.
The Senior AI Engineer will design and develop production-grade AI systems, focusing on RAG pipelines, generative AI workflows, and LLM optimization. Key responsibilities include building scalable solutions, implementing retrieval strategies, and mentoring junior engineers within a growing AI team.
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 building and managing secure, scalable cloud environments on GCP and Azure to support enterprise AI workloads, including model hosting, vector databases, and LLMOps pipelines. The engineer will implement infrastructure-as-code, secure API gateways, manage cloud costs, and ensure compliance across AI development environments. It’s a hands-on position at the intersection of cloud engineering and AI infrastructure within a regulated financial services setting.
This role involves designing and building scalable data pipelines and models in Snowflake to support investment decision-making and regulatory reporting. The engineer will work with complex financial and time-series data, integrate market data feeds, and contribute to a modern cloud data platform enhanced by AI-assisted development tools. Collaboration with technical teams and business stakeholders is key to delivering robust data solutions in a transformational environment.
This role involves designing and deploying AI-powered applications using Large Language Models and Generative AI technologies within a modern financial services environment. You'll build prompt engineering frameworks, retrieval-based systems, and scalable AI workflows while collaborating with engineering and product teams. The position emphasizes responsible AI practices, innovation in cloud-native environments, and shaping the organization's AI strategy.
This role involves leading the strategic development and delivery of AI transformation programmes for enterprise clients in regulated sectors. The AI Practice Lead will define technical and business strategies, drive innovation in Generative AI and data platforms, and mentor cross-functional teams. Key responsibilities include shaping AI roadmaps, leading high-impact client engagements, and building scalable, industry-specific solutions.
This role involves designing and building AI-powered products and platforms using Golang within Citi's high-growth AI Product & Platform team. You'll develop scalable backend services and cloud-native microservices, collaborate with AI specialists, and contribute to developer tools and frameworks. The position emphasizes innovation in distributed systems, generative AI, and modern engineering practices in a start-up-like environment within a global financial institution.
This role involves designing, developing, and maintaining robotics software for autonomous platforms using ROS2, sensor fusion, path planning, and kinematics. You will work closely with multidisciplinary teams to bring robotic systems from prototype to production, focusing on robust real-world solutions.
