Future Tech Jobs
Future Tech Jobs
Design and develop novel Transformer and GNN architectures for a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from research to production deployment—on applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers to push the boundaries of relational reasoning in enterprise AI.
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.
Design and develop cutting-edge mechatronic systems for medical technology applications, focusing on robotics, diagnostics, and drug delivery. Lead hardware design efforts from concept to manufacture, conduct first-principle analyses, and support prototyping and testing. Collaborate across disciplines to solve complex engineering challenges in healthcare innovation.
Design and develop innovative user interfaces and data visualisations for diverse client projects, ranging from therapeutic devices to smart systems. Work within agile teams to deliver front-end solutions using modern JavaScript/TypeScript and explore AI-driven workflows with tools like LangChain and TensorFlow. Collaborate with UI/UX designers, developers, and domain experts to create intuitive digital services across multiple industries.
This role involves integrating and managing real-time data feeds from multiple sources, including market data, grid operations, and internal trading systems. The focus is on enhancing data quality, performance, and availability to support systematic trading and risk management in a fast-paced, data-driven trading environment.
The role involves leading the adoption of Generative AI and machine learning in Treasury operations, focusing on use cases like liquidity forecasting, capital optimisation, and risk management. You will design and deliver AI-driven solutions, oversee cloud migration for scalable experimentation, and promote responsible AI practices. The position emphasizes technical leadership, innovation, and cross-functional collaboration within a financial services environment.
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.
The Research Program Manager will operationalize and coordinate high-impact research initiatives at a deep-tech AI company, translating ambitious scientific goals into structured programs. This role ensures alignment across research, product, engineering, and external partners, maintaining roadmaps, driving delivery rhythms, and enabling breakthroughs in AI-driven physics simulation. The position blends strategic coordination with technical fluency in a fast-scaling environment.
This role involves serving as a technical advisor to enterprise customers adopting Claude, designing scalable AI architectures, and guiding integration of Anthropic's LLMs into existing technology stacks. The position bridges technical and business stakeholders, creating evaluation frameworks and delivering tailored technical content. Collaboration with sales, product, and engineering teams is central to driving successful customer deployments.
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.
This role involves strategic talent acquisition for OpenAI’s AI/ML research teams across EMEA, focusing on identifying and engaging leading researchers and technical scientists. The recruiter will work closely with research staff to shape hiring strategies, anticipate future needs, and influence talent decisions in a fast-evolving technical landscape. Based in London with a hybrid work model, the position requires deep expertise in technical recruiting and strong engagement with global AI research communities.
This role involves managing the full lifecycle of contracts for AWS data center infrastructure, including drafting, negotiating, and advising on legal and commercial matters. The Contracts Manager will work closely with cross-functional teams on design, construction, operations, and security, while driving process improvements and adopting AI tools to streamline contract workflows at scale.
This role involves building AI-powered prototypes, agents, and automations to streamline marketing workflows within Amazon Ads. You'll use AI-assisted development tools to transform UX concepts into working code, focusing on solving labor-intensive tasks for marketers. The position emphasizes rapid prototyping, cross-functional collaboration, and establishing reusable frameworks to scale AI adoption across the marketing organization.
This role involves researching and applying modern AI techniques to RF signal data, focusing on signal recognition, identification, localisation, and manipulation. The work combines algorithm development with practical machine learning applications in a sensor-rich environment, requiring strong software engineering practices and collaboration with stakeholders. It is a research-focused position with opportunities for hybrid working and publication.
Lead the design and implementation of fine-tuning strategies for large language models, including SFT, LoRA, and QLoRA, within regulated, real-world applications. Develop evaluation frameworks, select base models, and drive models into production while mentoring a growing ML team. Work cross-functionally to translate domain requirements into model behaviour and establish reproducible, scalable AI systems.
