Future Tech Jobs
Future Tech Jobs
Design and develop novel Transformer and GNN architectures for a unified foundation model that interprets relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on high-impact applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance graph learning and relational reasoning in enterprise AI.
This role focuses on ensuring the reliability and resilience of large language model serving systems across the full stack, from API layers to accelerators. You'll design service level objectives, build observability systems, lead incident response, and collaborate across teams to strengthen critical infrastructure. The position demands a systems thinker with strong distributed systems experience and a proactive approach to improving robustness in high-scale AI environments.
Discover your future at CitiWorking at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your...
This role involves building a cutting-edge deep learning platform for a prop trading firm, focusing on neural networks, transformers, and LLM-driven research. You'll work in a greenfield environment with significant autonomy to shape the research stack and contribute to multi-modal modelling and modern NLP systems.
This role involves serving as the primary security and compliance expert for Anthropic’s enterprise customers in EMEA, particularly within highly regulated industries. The individual will lead technical discussions on AI security, data protection, and regulatory compliance, supporting pre-sales engagements with institutions like banks and insurers. They will also shape customer trust by designing secure deployment architectures for Claude and influencing product development based on frontline feedback.
This role involves building a cutting-edge HPC and distributed systems platform for a prop trading firm. You'll work in a greenfield environment, shaping the research stack and infrastructure from scratch, with a focus on GPU-heavy workloads and distributed training. The team structure is pod-like, offering significant strategic influence and collaboration.
This role involves leading technical components of an AI-enabled platform, designing and developing robust solutions using Python or Java, and working with cutting-edge technologies like Google ADK, Model Context Protocol (MCP), and agent-based architectures. The developer will engage directly with business partners to translate real-world problems into technical solutions, drive platform strategy, and ensure seamless integration across systems while maintaining high standards in code quality, risk, and compliance.
This role involves designing and delivering AI-driven automation solutions to streamline and enhance complex business processes across various workflows. You will collaborate with engineering teams, product managers, and business architects to build scalable automation services and integrate AI/ML capabilities into real business workflows.
This role involves conducting empirical AI safety research over a 4-month fellowship, working on projects such as scalable oversight, adversarial robustness, and mechanistic interpretability. Fellows receive mentorship from Anthropic researchers, access to compute resources, and produce public outputs like research papers. The program supports remote participation in the UK, US, or Canada, with optional co-location in London or Berkeley.
A 4-month, full-time fellowship program offering mentorship and funding for technical talent to conduct empirical AI research aligned with Anthropic’s safety and security priorities. Fellows work on projects in areas like scalable oversight, adversarial robustness, or AI economics, with access to compute resources and a collaborative research environment. The program supports diverse backgrounds and encourages applications from underrepresented groups.
Discover your future at CitiWorking at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your...
This role involves deploying and configuring AI tools—such as LLM assistants and agentic workflows—directly within investment teams to enhance portfolio management and research processes. The engineer will provide hands-on training, develop proofs of concept, gather user feedback, and translate it into platform improvements, while also offering first-line production support for key portfolio optimization systems during European hours. Embedded with business teams, the role bridges technical AI platforms and real-world investment workflows, ensuring effective, responsible adoption.
