Future Tech Jobs
Future Tech Jobs
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 working on core enterprise platform systems, focusing on backend services to ensure security, reliability, and scalability for large customers. You will collaborate with product, security, legal, and infrastructure teams to translate business and regulatory requirements into scalable technical solutions.
As an Engineering Manager, you will lead a team of experts in storage technology, distributed systems, and Rust to build and scale mission-critical Lakebase services on the Databricks Platform. You will drive continuous delivery, manage the rollout of storage services, and ensure operational excellence in a 24/7 environment.
REQ ID:FEQ227R246Location:London, UKRecruiter: Dina HussainAt Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to...
As a Senior AI Engineer, you will design, build, and deploy production-grade generative AI systems, focusing on RAG pipelines, agentic workflows, and rigorous evaluation. You will provide technical leadership, mentor engineers, and collaborate with platform, product, and delivery teams to accelerate AI deployment from experimentation to production.
This role involves designing and developing AI and machine learning models to solve real-world business problems, contributing to research and innovation, and collaborating with cross-functional teams. The position offers a mix of hands-on model development and applied AI research, with a focus on credit risk and lending processes.
Lead the development and deployment of cutting-edge computer vision systems for high-impact defence applications, bridging advanced research with real-world operational needs. Architect scalable solutions, mentor technical teams, and shape strategic AI capability in a security-cleared environment. Work across the full project lifecycle from R&D to production, ensuring ethical and reliable AI integration.
This role involves leading the development and deployment of cutting-edge computer vision systems for high-impact projects in the defence sector. You will act as a technical authority, guiding multidisciplinary teams, contributing to business development, and shaping the technical strategy for CV work.
The role involves designing and implementing a robust data architecture to support data-driven insights and intelligence for Lincolnshire Police and its partners. You will lead the development of data solutions, optimise data management frameworks, and mentor a team of data professionals. The position supports public safety by enabling better decision-making through strong data governance and collaboration across teams.
This Fellowship programme helps academics transition into data science careers through intensive training and a six-week project with a company. Fellows gain practical experience applying AI in real-world scenarios, culminating in a Demo Day to showcase their work to industry professionals.
As a Senior Data Scientist, you will lead the delivery of advanced data science capabilities, working on innovative projects to help customers unlock value from complex datasets. You will mentor colleagues, shape the future direction of the data science team, and collaborate closely with project leads and customers to develop and deliver high-quality solutions.
This role involves designing, building, and deploying machine learning models to address real-world health and care challenges. You will work closely with data scientists, engineers, and stakeholders to translate business needs into effective technical solutions, ensuring high standards for data governance, ethics, and security.
As a Research Data Scientist at dunnhumby, you will work on developing and implementing advanced machine learning and statistical techniques to solve complex business problems. Your day-to-day responsibilities will include creating new science-based solutions, performing data analysis, and collaborating with cross-functional teams to deliver innovative solutions for global retailers and brands.
As a Senior Research Data Scientist, you will develop and apply advanced statistical and machine learning techniques to solve business problems, particularly in demand forecasting, clustering, and measurement. You will work closely with Price and Promotion experts, develop innovative solutions using generative AI, and present findings to internal stakeholders.
This role involves managing and optimising real-time alert systems across wastewater networks and treatment works using Dynamic Network Monitoring (DNM) and supporting the development of Dynamic Treatment Management (DTM). The engineer will interpret complex data to drive proactive operational decisions, improve system resilience, reduce pollution risk, and enable predictive maintenance through close collaboration with maintenance teams and operational stakeholders.
