Future Tech Jobs
Future Tech Jobs
As an Applied AI Researcher, you will develop and adapt deep learning methods for world reconstruction, novel view synthesis, and neural rendering. You will work with a team of researchers to prototype experimental solutions, improve scene realism, and build evaluation workflows for robust technology development.
As an Applied AI Researcher, you will develop and adapt deep learning methods for world reconstruction, novel view synthesis, and neural rendering. You will work with a team of researchers to prototype solutions, improve scene realism, and build robust technology for autonomous systems and intelligent machines.
This role involves designing and building scalable data pipelines and distributed systems to support AI-driven operations, with a focus on real-time streaming, vector search, and data quality. The engineer will lead architecture decisions, collaborate with AI and backend teams, and shape the future of the data platform in a high-growth environment.
This role involves owning and developing large new areas within an enterprise-grade Generative AI platform, working across backend, frontend, and integrating with LLMs and ML models. You will collaborate with product, ML, and infrastructure teams to deliver high-quality features and experiments, ensuring scalability and reliability.
This role involves building end-to-end AI and machine learning products focused on solving real M&A and advisory challenges within investment banking. The Data Scientist will develop production-grade models using LLMs and NLP, deploy statistical and predictive solutions, and collaborate directly with senior bankers and engineers. It's a hands-on position where technical depth, clear communication, and product ownership are essential.
The Senior AI Engineer will design and develop production-grade AI systems, focusing on RAG pipelines, generative AI workflows, and LLM optimization. Key responsibilities include building scalable solutions, implementing retrieval strategies, and mentoring junior engineers within a growing AI team.
This role involves building and optimizing data pipelines, developing scalable data models, and transforming raw data into trusted datasets to support reporting, business intelligence, and AI initiatives. You will collaborate with stakeholders across the business to improve data accessibility, quality, and governance.
This role involves integrating AI and machine learning capabilities into mature enterprise SaaS products, with a focus on anomaly detection, predictive analytics, and production-grade MLOps. The engineer will work closely with product and engineering teams to design and deploy REST APIs, implement model monitoring, and contribute to a structured product roadmap. The position emphasizes technical delivery within compliance-aware and governance-oriented enterprise environments.
This role involves defining and developing end-to-end software architecture for advanced vehicle automation and robotic systems, with a focus on safety-critical real-time software. You will lead the design of computer vision, sensor integration, digital twin, and simulation systems while establishing robust CI/CD pipelines. Close collaboration with cross-functional engineering teams ensures seamless embedding of software into physical hardware within a high-integrity R&D environment.
Design and implement production-grade Agentic AI, Generative AI, and Retrieval-Augmented Generation (RAG) systems that power intelligent customer-facing SaaS products. Develop autonomous agents with reasoning, planning, and execution capabilities, and optimise LLM performance through prompt engineering, fine-tuning, and evaluation. Collaborate with platform and product teams to deploy scalable AI solutions on Microsoft Azure.
As a Data Engineer, you will build and maintain data pipelines integrating various enterprise systems, transform raw data into clean datasets for BI and AI, and work closely with architects and stakeholders to design robust data models. This role offers hands-on experience with Azure and modern data tools.
This role involves designing mathematical models and Python-based tools to support property decision intelligence. You'll analyze large datasets, build pricing and investment models, and experiment with AI and LLMs to automate research. The position offers hands-on involvement in product development and decision systems, with direct collaboration across engineering, data science, and product teams.
Senior Machine Learning Engineer | Cambridge / Hybrid | £80,000–£120,000 + BonusJoin a fast-growing FinTech/InsurTech company in Cambridge that is transforming how financial and insurance products are built using machine learning and data-driven decision-making.Their platform leverages advanced ML models to...
This role involves leading the development of embedded firmware and algorithms for touch sensing products. Responsibilities include defining software architecture, managing project delivery, mentoring engineers, and collaborating with multidisciplinary teams. The position requires strong technical skills in embedded C, debugging, and algorithm development, with a focus on delivering high-quality solutions.
This role involves building and improving AI features using Python, creating proof of concepts, and integrating AI into a customer-facing product that helps users complete financial journeys. The focus is on practical AI application, security, and collaboration with a growing fintech company.
