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.
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 role involves developing and deploying custom machine learning and LLM-powered systems for customer feedback analysis, including fine-tuning, retrieval, summarisation, and agentic workflows. The scientist will lead experimentation, evaluation, and productionisation of models while mentoring team members and integrating cutting-edge AI research into real-world applications.
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.
This role involves building and maintaining a data-driven recruitment strategy by developing Power BI dashboards, integrating internal and external data sources, and delivering actionable insights on hiring performance and talent markets. The analyst will provide salary benchmarking, competitor intelligence, and pipeline analysis to support strategic decision-making across Talent Acquisition and HR leadership. Emphasis is placed on automating reporting, improving data accuracy, and translating complex datasets into clear business recommendations.
This role involves designing and delivering enterprise AI solutions on Microsoft Azure for insurance clients, with a focus on production-grade systems using Azure AI Foundry, OpenAI, and vector search technologies. The consultant will lead technical teams, build RAG-based knowledge systems and AI agents for insurance workflows, and ensure compliance with Responsible AI and regulatory standards. Key activities include architecture, model deployment, governance, and mentoring within a hybrid working model.
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 Lead Engineer on the Application Platform Team, you will guide the development of a modern, unified intelligence layer that integrates AI, real-time data, and scalable systems. Your role involves hands-on technical work with .NET, Python, React, and cloud-native tools, while also leading and mentoring a team of engineers to deliver high-quality, production-ready solutions.
This role involves developing programmatic workflows and applying data science techniques to extract insights from scientific content within a pharmaceutical R&D environment. The Information Scientist will build automated data pipelines, use AI and NLP for text mining, and collaborate with cross-functional teams. Emphasis is placed on data governance and responsible AI, supporting the transformation of complex scientific data into actionable intelligence.
