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.
This role involves leading the design and development of advanced digital electronics and FPGA-based systems for cutting-edge communications technologies, including Low Earth Orbit Satellites and High-Altitude Platform Systems. The engineer will work on high-speed board-level design, FPGA verification, and system architecture within small, interdisciplinary teams. Projects are innovative and varied, spanning telecommunications, healthcare, and sustainable energy, with access to in-house prototyping and testing facilities.
This role involves designing and solving complex digital electronics challenges across diverse industries such as defence, healthcare, and telecommunications. You'll lead high-speed electronics development, work on cutting-edge FPGA and processor-based systems, and debug hardware using advanced tools and in-house labs. The role emphasizes innovation, technical ownership, and collaboration within multidisciplinary teams on novel, non-repetitive projects.
This role involves partnering with traders and analysts to optimize trading processes, building scalable Python services and APIs, and designing cloud-native tools for the Front Office platform. You will work in a fast-paced, data-driven environment, focusing on systematic trading and risk management.
This role involves designing, developing, and maintaining real-time trading applications and data pipelines for the European Intraday Power desk. You will work closely with the front office to build tools that enable efficient strategy testing and execution in fast-moving energy markets, leveraging Python, SQL, and cloud-native architectures.
Lead end-to-end deployment of a Kubernetes-based AI simulation platform into customer environments, serving as the primary technical liaison for C-suite stakeholders while building and scaling regional deployment teams. The role combines hands-on infrastructure leadership with executive engagement, ensuring deployments meet technical, security, and compliance standards in highly regulated industries such as aerospace, energy, and semiconductors.
This role involves crafting compelling, technically grounded narratives for a deep-tech AI simulation company, translating complex engineering concepts into accessible content across blogs, social media, events, and internal channels. You'll shape the company's public voice, collaborate closely with engineers and leadership, and build a scalable content operation while maintaining high creative and editorial standards.
This role involves developing and maintaining full-stack software applications with a focus on backend systems, APIs, and cloud infrastructure. You'll contribute to production machine learning systems, particularly in computer vision and object detection, using Python, Node.js, and AWS. The position offers broad technical exposure across databases, cloud deployment, and AI integration in a collaborative engineering team.
Develop novel machine learning methods for molecular and protein discovery, bridging cutting-edge research with practical engineering implementation. Work on geometric deep learning, diffusion models, and 3D representations in biological systems, translating scientific ideas into deployable tools. Collaborate closely with engineers and scientists in a hybrid London-based role focused on high-impact AI for life sciences.
This role involves analysing manufacturing, quality, and product performance data to uncover trends and drive improvements. The Data Scientist will develop analytical models and dashboards, apply machine learning and statistical techniques, and collaborate with engineering and digital teams to support data-driven decision-making. A key focus is translating complex data into actionable insights for both technical and non-technical stakeholders.
This role involves leading the technical design and delivery of enterprise AI solutions on AWS, translating business objectives into scalable, responsible AI implementations. The consultant will work hands-on to architect, build, and troubleshoot production AI systems while guiding customers through data readiness, governance, and operational handover. A key focus is advancing AI best practices and reusable assets within the Data & AI practice.
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.
Lead end-to-end technical delivery of custom AI agent solutions for enterprise clients in regulated industries, from scoping to production deployment. Bridge technical and business stakeholders, define MVPs, manage stakeholder expectations, and codify reusable playbooks. The role combines technical leadership with executive engagement to drive successful AI adoption in complex environments.
Lead the go-to-market strategy for Databricks' Energy industry vertical across EMEA, engaging C-suite executives and shaping AI-driven transformation in energy sectors including oil and gas, utilities, and renewables. Drive pipeline growth, align cross-functional teams, and establish Databricks as a strategic platform through thought leadership and market analysis. Work closely with sales, product, and engineering to convert industry insights into commercial outcomes.
