Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and scaling workloads across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. This role involves deep collaboration with cross-functional teams to push the boundaries of accelerated computing for AI.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. Collaboration with cross-functional teams and publishing original research are key aspects of this role.
This role involves designing, training, and deploying computer vision models, working across the full machine learning lifecycle. You will build production-ready systems, evaluate model performance, and contribute to technical decisions across various projects, collaborating closely with engineers, data scientists, and domain experts.
This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance in complex real-world environments.
This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance in complex real-world environments.
Design and implement agentic AI systems using LLM frameworks within a regulated MedTech environment. Develop and deploy generative AI solutions into production, leveraging Python and PySpark for scalable data processing. Integrate LLM-driven workflows like Claude Code to enable real-time decision-making across intelligent systems.
Senior AI/ML Software Engineer (LLM Focus)Location: Guildford (office based role)Salary and benefits: £on experience + a truly outstanding package that includes an unrivalled holday entitlement.Role OverviewOur client has tasked us to source a talented Senior level AI/ML Software Engineer with...
As a Senior AI Engineer, you will lead the design, development, and deployment of enterprise-grade AI solutions, leveraging advanced technologies like LLMs, RAG, and Azure AI services. You will provide technical leadership, establish best practices, and mentor team members while ensuring solutions are secure, scalable, and aligned with business objectives.
This role involves driving digital transformation by identifying automation opportunities, building internal software tools, and implementing AI solutions to improve business efficiency. The candidate will work closely with management to develop data-driven insights, streamline processes, and prototype innovative technologies. It's a hands-on position offering direct impact on how the organisation adopts emerging tech like AI and low-code platforms.
Lead the development and deployment of machine learning models from problem definition through to production, working with real-world operational data. Focus on rigorous experimentation, statistical reasoning, and integration within secure, regulated environments. Collaborate across technical and non-technical stakeholders to deliver impactful, well-engineered solutions.
Design and build enterprise-scale generative AI platforms, including chatbots, RAG systems, and agentic workflows, integrated into financial data products. Develop production-ready AI infrastructure using Python, LangChain, and cloud technologies on AWS or Azure. Collaborate across engineering and product teams to deploy scalable, full-stack AI solutions that deliver real-time business impact.
This role involves supporting AI research projects by assisting with data collection, algorithm development, and experimental analysis under the guidance of senior researchers. The candidate will contribute to research outputs such as reports and publications while receiving structured training and mentorship. It is a research-focused position emphasizing collaboration, ethical AI practices, and professional growth in a supportive environment.
This role involves building and maintaining MLOps frameworks to deploy, scale, and monitor machine learning models in highly secure, air-gapped environments. You'll work across engineering and data science teams to develop automated CI/CD pipelines, containerised applications, and production-grade ML systems using tools like GitLab, Docker, Kubernetes, MLflow, and Airflow. The role supports critical public sector digital transformation programmes with a focus on security and scalability.
