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.
Develop and deploy computer vision models for predictive maintenance in industrial settings, combining inspection imagery with operational and physics-based data to forecast component lifespan. Focus on building interpretable, production-grade systems that integrate with enterprise environments and support engineering decision-making under real-world constraints like sparse or noisy data.
This role involves developing high-fidelity multiphase CFD models for industrial applications in bioprocess and chemical engineering, integrating them with AI-driven simulation workflows. The engineer will work end-to-end on multi-physics simulations, from geometry and meshing to solver development and validation against experimental data. A key focus is automating and scaling CFD workflows to enable design optimisation and support machine learning pipelines in collaboration with clients across advanced industries.
This role involves owning and driving the development of internal products powered by Claude, Anthropic's AI system, across departments like Legal, IT, Finance, and Security. The Product Manager will identify inefficiencies, define problem statements, and ship automation solutions that measurably improve team outcomes. Success is measured through adoption, business impact, and effective change management, requiring close collaboration with engineering, security, and business leaders.
This role involves serving as a technical security expert for Anthropic’s enterprise customers in highly regulated industries across EMEA. You will lead security and compliance discussions with CISOs and technical leaders, focusing on GDPR, EU AI Act, DORA, and NIS2 compliance, while guiding the secure deployment of Claude. The position requires deep knowledge of enterprise security architecture, data protection, and regulatory frameworks, with a strong emphasis on pre-sales technical engagement and shaping customer trust in AI systems.
A Lead Data Scientist will lead complex, high-impact AI projects for clients in financial and professional services, defining technical direction and delivering production-grade solutions. The role involves mentoring teams, managing technical risk, and acting as a trusted advisor to clients in regulated environments. Innovation, cross-functional collaboration, and shaping long-term technical strategy are central to the position.
This role involves building and maintaining Looker dashboards and semantic models to transform complex supply chain data into actionable insights for Ocado's automated grocery fulfilment system. The analyst will work closely with engineering and operations teams to optimise inventory flows and warehouse efficiency using SQL, statistical analysis, and AI-augmented workflows. A key focus is establishing a trusted data layer to support global logistics decision-making.
This role involves defining and driving the product roadmap for Level 4 autonomous driving features, translating advanced embodied AI and end-to-end learning technologies into safe, user-centric AV solutions. The Technical Product Manager will work cross-functionally with R&D, safety, validation, and commercial teams to deliver market-ready features, with a strong focus on regulatory alignment, customer needs, and real-world deployment. The position emphasizes ownership of the full product lifecycle, from concept through to production, within a fast-paced, innovation-driven environment.
A Principal Designer will lead the development of product and service design disciplines within Faculty’s Applied AI division, delivering high-impact client projects while building design capability from the ground up. The role combines strategic client engagement with executive-level consulting, shaping multidisciplinary teams and embedding human-centred design in AI solutions. This position bridges technical AI outputs with real-world commercial outcomes across government, finance, retail, and other sectors.
The Client Architect works within Thought Machine’s Expert Services team to guide financial institutions through core banking and payments modernisation using the Vault platform. This role involves designing target architectures, advising on migrations, and delivering technical training, with a strong emphasis on cloud-native solutions and AI-driven delivery acceleration. The role bridges deep technical expertise with strategic client engagement across pre-sales and implementation phases.
Lead a team of data scientists focused on applying machine learning and large language models to cybersecurity challenges, including malware detection, behavioral threat analysis, and AI-driven security automation. Translate business needs into technical research objectives and guide the development of production ML systems at scale. Collaborate with security researchers, engineers, and product teams to solve complex, real-world adversarial problems using cutting-edge AI techniques.
Lead a team of data scientists focused on applying machine learning and large language models to cybersecurity challenges, including malware detection, behavioral analysis, and AI-driven threat response. Translate business needs into technical research objectives and guide the development of production ML systems at scale. Collaborate with security researchers and engineers to innovate in a high-impact, adversarial environment processing trillions of daily events.
Lead the development of the product management function within a high-impact AI consultancy, shaping standards and practices while delivering transformational AI solutions for enterprise clients. Work across technical, organisational, and strategic levels to bridge advanced AI models with real-world business outcomes. Operate in a hybrid role combining capability building, client advisory, and product execution.
This role involves leading complex cloud-native security engagements with customers, designing and implementing secure solutions in Kubernetes and multi-cloud environments, and acting as a trusted technical advisor. The architect will guide customers through identity, secrets management, and workload security challenges while contributing to internal initiatives and mentoring peers. Work spans high-level strategy and hands-on configuration across open-source and cloud platforms.
