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 building LLM-based solutions in a high-growth FinTech, working in a multi-disciplinary team to turn innovative ideas into production-ready AI products. The Software AI Engineer will have end-to-end project exposure, a strong focus on AI security, and the opportunity for extensive personal and career development.
The role involves building and scaling an AI-native data platform from the ground up, developing core platform features, and turning complex data assets into user-ready products. You'll work in a fast-paced, agile environment, rapidly prototyping and iterating on systems while collaborating with senior engineers and leadership on architectural decisions.
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 developing and deploying machine learning models, working with large datasets, and collaborating with data engineers and software teams to build predictive analytics solutions. The position offers the opportunity to work on high-impact AI projects across various industries in a modern technology environment.
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 designing and implementing data models and algorithms, automating workflows, and translating complex datasets into actionable insights. The Data Scientist will work on transitioning legacy systems to an Azure-native stack, using Python, Spark, and cloud computing to build robust, automated data products that support internal decision-making and customer-facing features.
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.
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.
This role involves designing and building robust, scalable data pipelines for a complex project in the Financial Services domain. You will work with large, multi-source datasets, collaborate with the team to define data flows, and ensure data reliability and scalability.
The Applied AI Lead role involves leading the technical direction and development of AI products, managing a team of data scientists, and ensuring scalable and robust machine learning workflows. The role requires a hands-on approach, with responsibilities spanning technical leadership, product ownership, and stakeholder management.
