Future Tech Jobs
Future Tech Jobs
Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on a unified model powering enterprise AI applications in forecasting, fraud detection, and recommendations. Collaborate with researchers to advance relational reasoning and deploy cutting-edge systems into production.
Design and develop novel Transformer and Graph Neural Network (GNN) architectures that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from model design and large-scale training to optimization and inference acceleration—targeting real-world enterprise applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to advance foundational AI models that redefine the modern data stack.
Lead and scale the Deal Desk function for Anthropic's international business across EMEA and APAC, overseeing complex deal structuring, pricing, and approvals while ensuring alignment with global standards. Build and manage a team of three, acting as the key commercial partner to sales on non-standard deals and bridging field needs with finance, legal, and revenue operations. Establish scalable processes, tooling, and metrics to support rapid international growth in a high-ambiguity environment.
This role involves leading the technical strategy for agent-driven automation in cluster lifecycle management, ensuring secure, scalable, and fault-tolerant compute infrastructure across cloud and on-prem environments. You'll collaborate with research, product, and security teams to shape long-term infrastructure direction, with a focus on high-bandwidth interconnectivity and operational excellence. The position emphasizes mentorship, cross-team alignment, and driving innovation in large-scale cluster provisioning and management.
Lead and mentor a team of AI Deployment Engineers focused on guiding large enterprise customers through the technical implementation and production deployment of Generative AI solutions. Drive platform integration, translate customer needs into product roadmaps, and act as a trusted technical advisor to executive stakeholders. Emphasis is on safe, scalable AI adoption across complex global organisations.
Design and build scalable, secure cloud infrastructure platforms that support OpenAI's products, including ChatGPT and the API. Work with Kubernetes, networking, and cloud abstractions while ensuring system reliability and contributing to a safety-first culture. Participate in on-call rotations and help scale systems to meet growing demand.
This role involves developing and deploying advanced AI systems that enhance both seller operations and internal consultancy at Amazon. The scientist will design machine learning architectures—particularly using LLMs, generative AI, and optimization techniques—to solve complex marketplace challenges. The position emphasizes end-to-end innovation from research to production, with a focus on scalable, interpretable, and impactful AI solutions.
Design and implement high-performance machine learning models using C++, CUDA, and PyTorch, with a focus on GPU acceleration and advanced AI applications such as Transformers and computer vision. Work within a research-driven team to develop next-generation AI solutions for real-world deployment. The role involves low-level optimisation and close collaboration on cutting-edge algorithm development.
Design and lead the evolution of large-scale AI infrastructure for training and inference workloads across thousands of GPUs and petabyte-scale data systems. Enable seamless cross-region execution and data federation while guiding technical strategy and mentoring engineering teams in a high-performance environment focused on embodied AI for autonomous driving.
This role involves building and scaling the reliability foundations of Wayve's AI cloud platform, including the Model Development and GPU Compute platforms. The engineer will define SRE frameworks, automation, and operational standards for large-scale, distributed systems supporting AI training and inference. Key responsibilities include incident response, observability, capacity planning, and improving deployment safety across cloud infrastructure.
This role involves building and deploying AI systems to detect unsafe, unsuitable, or policy-violating content across digital advertising inventory. You'll develop low-latency, LLM-powered classification models that operate at internet scale, making real-time decisions across text, images, audio, and video to protect advertiser trust. The work combines frontier AI research with large-scale production engineering to combat evolving synthetic and adversarial content.
Leads technical strategy and R&D in AI safety, building and mentoring a high-performing team to develop cutting-edge evaluations and mitigation techniques for frontier AI models. Shapes global AI safety discourse through thought leadership, publications, and collaboration with leading labs and governments. Translates advanced research into practical safety solutions while representing the organisation at the highest technical and policy levels.
This role involves leading brand strategy and integrated marketing campaigns across trade and consumer channels, with a strong focus on AI-driven market research, content creation, and digital optimization. The Marketing Manager will use generative AI tools for insight generation, campaign efficiency, and content production while managing a small team and collaborating with sales and product teams. Key responsibilities include managing digital marketing platforms, executing product launches, and applying predictive analytics to inform commercial strategy.
Conducts original research in AI safety, focusing on interpretability and behavioral analysis of transformer-based large language models. Designs and runs experiments, develops reproducible research tooling in Python/PyTorch, and translates technical findings for government, frontier labs, and national security partners. Publishes results in academic papers and technical reports while collaborating with senior scientists to shape emerging AI safety standards.
This role involves working directly with client teams to design, build, and deploy AI-driven solutions in live research environments. You will translate complex research questions into production-ready workflows, optimize LLM applications, and integrate data pipelines across cloud platforms. The role also includes collaborating with non-technical stakeholders and feeding insights back into the product and engineering teams.
