Future Tech Jobs
Future Tech Jobs
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, focusing on the Cosmos World Foundation Models. You will work closely with research scientists, software engineers, and hardware experts to improve inference speed and deploy models in production settings.
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed and profiling deep learning workloads to identify and remove bottlenecks.
As a Machine Learning Engineer, you will collaborate with Data Scientists, Simulation Engineers, and customers to solve complex engineering and physics challenges. You will design, build, and test reliable, scalable ML data pipelines, manipulate 3D point cloud and mesh data, and ensure the successful deployment of AI models in real-world applications.
As a Senior Machine Learning Engineer, you will lead the deployment of AI models and engineering surrogates into customer production environments, working closely with Data Scientists, Simulation Engineers, and customers. You will mentor team members, travel to customer sites, and influence product direction by driving reliable and scalable ML systems.
This role involves leading the design and development of reliable, multi-step agentic systems and long-horizon reasoning frameworks for national security and public policy. You will conduct applied research to solve unique challenges in sovereign AI, focusing on system reliability, safety, and performance in high-stakes environments.
As a Machine Learning Engineer, you will work on delivering bespoke AI solutions for diverse clients, focusing on scalable software architecture and best practices. You will collaborate with cross-functional teams to ensure the technical feasibility and timely delivery of high-quality ML systems, and act as a technical advisor to clients and partners.
This role involves building and deploying production-grade machine learning systems for high-impact clients, particularly in the defence sector. You'll work across the full ML lifecycle, from scoping and design to implementation, ensuring scalable, ethical AI solutions are delivered with technical excellence. Collaboration with cross-functional teams and direct client engagement are key aspects of the position.
Work as a Machine Learning Engineer building production-grade AI systems for clients in energy, sustainability, and public sectors. Focus on operationalising machine learning models, designing scalable infrastructure, and translating technical concepts for stakeholders. Collaborate across engineering, data science, and commercial teams to deliver real-world impact through responsible AI.
Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring, within a data science team focused on transforming pharma intelligence. Collaborate across engineering and product to build scalable AI solutions, optimize infrastructure for performance and cost, and explore advanced techniques like code interpretation and LLM tooling. The role emphasizes innovation, mentorship, and staying current with advancements in machine learning and AI.
Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring, within a data science team focused on pharma intelligence. Collaborate across product, data science, and engineering to build scalable AI solutions using advanced ML infrastructure and LLM-driven techniques. The role emphasizes system optimization, architectural innovation, and knowledge sharing in a high-impact healthcare domain.
As a Lead Machine Learning Engineer, you will set the technical direction for complex AI projects, design and maintain scalable ML systems, and lead a team of engineers. You will also drive innovation, mentor team members, and act as a technical expert for clients, ensuring successful project delivery and adoption of new technologies.
This role involves working on cutting-edge machine learning challenges at the intersection of biology and experimental science. You'll develop models that can handle sparse, noisy biological data, build trustworthy models for scientists, and guide better experimental design. The team values technical depth, collaboration, and a commitment to scientific truth.
Lead the development and deployment of deep learning models to enhance credit underwriting, using advanced neural networks on structured and unstructured data. Translate research prototypes into production systems while mentoring junior data scientists and collaborating with stakeholders across the business.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive initiatives from R&D to production. The position requires strong experience in deep learning, model development, and working with large datasets.
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.
