Future Tech Jobs
Future Tech Jobs
Design and define next-generation system architectures for DPUs and NICs, spanning from hardware to application layers. Lead cloud networking solutions with a focus on orchestration, provisioning, and security. Collaborate globally with engineering teams and external customers to innovate and prototype cutting-edge data center technologies.
Design and define next-generation system architectures for DPUs and NICs, spanning hardware to application layers. Lead cloud networking solutions involving orchestration, provisioning, and security, while collaborating with global engineering teams and external customers. Develop prototypes, evaluate emerging technologies, and deliver clear architectural specifications for scalable data center systems.
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.
This role involves leading end-to-end customer implementations, designing technical architectures that align with high-value business use cases, and building proofs of concept to demonstrate platform capabilities. The Solutions Architect acts as a trusted advisor to both technical and executive stakeholders, bridging customer needs with product evolution. They will also develop scalable delivery frameworks and contribute to shaping Synthesia's platform strategy in a high-growth AI environment.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
This role involves leading business development and technical delivery for an AI-driven simulation platform within the Aerospace & Defense sector. The Principal Solutions Architect will engage with senior engineering and manufacturing leaders to identify opportunities, shape go-to-market strategy, and drive customer adoption, while also translating field insights into product feedback. It combines strategic account management with hands-on project leadership in a high-impact, deep-tech environment.
Lead business development and technical delivery for AI-driven engineering simulation solutions in the aerospace and defense sector. Engage with senior engineering leaders to identify opportunities, scope projects, and drive adoption of the PX Platform. Shape product direction through customer feedback and represent the company at industry events, balancing strategic account growth with hands-on project oversight.
Research Scientist / Research Engineer - Multimodal AI & Large Language ModelsLocation: LondonSalary: £(phone number removed) per annum + permanent benefits + bonusJob Type: Permanent, Full-Time, On-siteAbout the OpportunityWe are partnering with an innovative research organisation at the forefront of...
This role involves designing and implementing production-grade machine learning and AI workloads on the Databricks platform, with a strong focus on GenAI, MLOps, and LLMOps. The individual will guide enterprise customers through technical challenges, build MVPs, and lead deep-dive sessions during sales cycles. They will also contribute to product roadmaps, create technical content, and drive AI thought leadership through conferences and hackathons.
Design and maintain large-scale, distributed backend systems for automated in-store order fulfilment, integrating AI tools into development workflows. Lead technical initiatives from design to deployment while collaborating with product and business teams in an agile environment. Work with cloud infrastructure and modern Scala/Java ecosystems to support high-availability systems processing hundreds of thousands of orders weekly.
Lead the development and execution of a go-to-market strategy for Databricks in Retail & Consumer Goods across EMEA, building from the ground up. Establish C-level relationships, shape industry thought leadership, and create scalable sales and partner programs to drive transformation in data and AI for major retailers and brands.
Lead and scale a team of applied scientists focused on advancing AI-driven identity verification and fraud detection systems. Drive technical strategy from research to production, ensuring responsible AI practices and real-world impact through measurable outcomes in security and accuracy. Collaborate across product, engineering, and customer-facing functions to shape the future of identity-centric solutions.
The Forward Deployed Engineer role involves embedding with client engineering teams to design, build, and deliver production-ready implementations of Thought Machine's Vault and associated products. Responsibilities include writing production-quality code, debugging complex issues, and providing technical consulting to ensure client success. The role requires travel to client sites and close collaboration with both client and internal teams.
This role involves developing and deploying production-grade machine learning models that directly influence business decisions at Multiverse, an EdTech unicorn. The Senior Data Scientist will work across customer, learner, and operational domains to build predictive, forecasting, and optimisation systems, collaborating closely with data engineers and stakeholders. Emphasis is placed on statistical rigour, causal inference, and integration of models into scalable infrastructure using AWS, SageMaker, Airflow, and Snowflake.
