Future Tech Jobs
Future Tech Jobs
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job schedules, and developing CI/CD pipelines. You will work with the latest GPU and AI technologies, collaborate with researchers and developers, and support R&D activities.
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work with the latest GPU and AI technologies, collaborate with researchers and developers, and support R&D activities.
As an HFC Fellow, you will collaborate on high-impact AI projects, design and optimize PyTorch models, and contribute to research publications. You'll join a global network of experts, set your own flexible schedule, and engage in cutting-edge AI research and development.
This role involves building production-grade AI solutions and intelligent workflows for financial services, working with LLMs, RAG pipelines, and scalable backend services. You will collaborate with engineering, architecture, and business teams to deploy and govern AI systems in a regulated environment.
This role involves building production-grade AI solutions for financial services, including platforms for risk, fraud, and automation. You will work with LLMs, RAG pipelines, and scalable backend services, collaborating across engineering, architecture, and business teams.
This role involves leading the engineering and productionisation of machine learning and generative AI solutions, building end-to-end ML pipelines, and working closely with data scientists and engineers to turn experiments into scalable services. You will own MLOps practices, provide technical leadership, and collaborate with stakeholders to shape the company's ML capabilities.
This role involves designing and building scalable data pipelines, integrating data from multiple sources, and developing advanced analytics and AI solutions. You will work closely with analysts and stakeholders to translate requirements into robust, production-ready solutions, ensuring data quality and performance.
This role involves partnering with public sector clients to understand their challenges and define AI-driven solutions. You will build and deploy end-to-end AI applications, create high-quality training datasets, and design evaluation frameworks to ensure the reliability and effectiveness of AI models. The position also includes occasional travel and contributing to the scaling of AI capabilities in the public sector.
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 designing and deploying Generative AI and LLM-based solutions for synthetic data generation and data augmentation. You will work closely with Product and Engineering to take models from experimentation to production, ensuring data quality and reliability, and communicating technical concepts to non-technical stakeholders.
This role involves leading the delivery of enterprise-scale AI solutions, working closely with clients to shape AI strategies and influence delivery decisions. You will mentor teams, define best practices, and work with cutting-edge technologies like Azure AI Foundry, Databricks, and MLOps.
The Principal AI Consultant will lead the delivery of enterprise-scale AI solutions, working closely with clients to shape AI strategies and ensure scalable, secure, and commercially valuable solutions. The role involves hands-on technical leadership, mentoring teams, and influencing strategic decisions across various industries.
As a Data & AI Engineer, you will design and build scalable data pipelines, integrate data from multiple sources, and develop advanced analytics and AI solutions. You'll collaborate with analysts and stakeholders to create reliable, production-ready systems and optimize performance for scale and efficiency.
This role involves working at the cutting edge of AI to develop and prototype solutions for real-world public sector problems. Responsibilities include rapid prototyping, model development, applied AI research, and translating ambiguous requirements into technical solutions. The team operates in a fast-paced, innovative environment with a focus on public impact.
As an AI Engineer, you will collaborate with cross-functional teams to design, develop, and deploy data pipelines, machine learning models, and AI-enabled applications. Your role involves working with modern data and AI technologies to deliver scalable, production-ready solutions that drive business value through analytics, automation, and digital transformation.
