Future Tech Jobs
Future Tech Jobs
Design and experiment with novel Transformer and GNN architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in forecasting, fraud detection, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.
This role involves designing and experimenting with novel Transformer and Graph Neural Network (GNN) architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. The engineer will work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in fraud detection, forecasting, and recommendation systems. Collaboration with researchers and engineers is central, with a focus on pushing beyond traditional single-table AI models.
This role involves leading the technical strategy and architecture for detecting, containing, and remediating account compromise across Claude and its developer platform. The engineer will design real-time detection systems for account takeovers, credential abuse, and API key leaks, while balancing security with user experience. They will lead incident investigations, drive cross-team alignment, and build automated defences that operate under adversarial pressure, shaping Anthropic’s global approach to account security.
Design and build ultra-high-scale data platforms processing petabytes of data, using Java, Spark/Scala, and AWS to enable efficient querying and analytics for threat detection. Develop fault-tolerant microservices and distributed systems for internal and external customers. Work across the full data lifecycle from ingestion to query frameworks, improving performance and scalability.
This role involves developing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. You'll work closely with biologists and engineers to build scalable data pipelines, optimize model performance, and iterate based on wet lab feedback. The position emphasizes research excellence, production-grade code, and rapid experimentation in a cross-disciplinary environment.
This role involves working on high-impact national security and advanced technology programmes using cutting-edge tools like Palantir and AI/ML technologies. Engineers will tackle complex technical challenges in secure environments, with opportunities to work across the full stack from data engineering to software development. The position supports career progression from graduate to senior levels within a collaborative, multidisciplinary team.
Designs and develops backend PHP/Laravel systems for a SaaS platform that analyzes customer call data using AI. Owns complex features, optimizes database performance, and contributes to architectural decisions. Works across the full development lifecycle in a remote, collaborative engineering team.
Lead and build a new Data Replay & Recovery team to develop a self-service application for business continuity and platform resiliency within a high-scale security data lake. Design and operate large-scale data pipelines processing petabytes of data, enabling reliable data access for analytics, ML, and threat detection across the Falcon platform. Collaborate with Data Platform, ML, and DevOps teams in a distributed environment using modern big data technologies.
Lead the development and scaling of a market and customer intelligence program across Medtronic EurAsia, transforming insights from data into strategic actions. Bridge commercial objectives with AI-driven analytics, driving adoption across functions and countries while ensuring intelligence is decision-ready and impactful. Work within a remote-first role with regular travel across Western Europe to align stakeholders and embed a unified intelligence capability.
Leads the development and scaling of a market and customer intelligence program across Medtronic EurAsia, transforming diverse data into strategic insights. Bridges commercial objectives with AI-driven analytics to inform customer engagement, portfolio decisions, and regional strategy. Focuses on building a unified, enterprise-wide intelligence capability with strong cross-functional stakeholder engagement and governance.
This role involves providing hands-on IT support to employees in Lisbon and remotely to global offices, with a focus on Mac and Linux systems. The engineer will deploy and manage hardware, maintain office IT infrastructure, and contribute to system improvements through scripting and automation. As the first IT hire in Lisbon, the individual will play a key role in shaping local support processes while collaborating with a global team.
As a Full Stack Engineer at Thought Machine, you will work on end-to-end features across the stack, ensuring high standards of security, performance, and user experience. You will collaborate with cross-functional teams to deliver complex solutions for global financial institutions, taking ownership from design to implementation.
Conduct foundational research to develop AI-driven physical simulation models for engineering and manufacturing applications. Translate complex physics and engineering problems into mathematical formulations, build and iterate machine learning models—particularly in neural operators, geometric deep learning, or generative modeling—and collaborate closely with engineers and customers to deliver real-world impact across advanced industries.
Develop and scale Unreal Engine 5 applications to generate synthetic imagery for training AI and computer vision models. Collaborate with AI researchers and engineers to automate rendering workflows, improve scene generation, and build production-grade software for secure deployment. Work across technical and non-technical teams to create intuitive tools for scalable synthetic data pipelines.
This role involves creating high-fidelity 3D environments and digital assets in Unreal Engine for use in synthetic data generation to train and evaluate AI and computer vision systems. The artist will work closely with AI engineers and developers to build realistic, real-time simulations of terrain, vehicles, and infrastructure for defence and security applications. Responsibilities include modelling, texturing, lighting, and optimising assets, as well as automating workflows and integrating assets into simulation pipelines.
