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.
This role involves deploying and maintaining Thought Machine's cutting-edge banking software, developing automation tools, and integrating with third-party infrastructure. The position focuses on building scalable, reliable systems and improving observability and disaster recovery processes.
This role involves deploying and maintaining cutting-edge banking software, developing automation tools, and ensuring high availability and scalability of services. The Senior Software Engineer will work on observability, orchestration, and disaster recovery tooling, contributing to a robust and reliable infrastructure.
This role involves designing and building scalable data pipelines, integrating data from multiple sources, and developing AI and machine learning models. You will work closely with analysts and business stakeholders to translate requirements into robust technical solutions, while contributing to data quality, governance, and performance optimization.
This role involves leading the ML Engineering capability, designing and building ML pipelines, and implementing MLOps practices. You will work closely with Data Scientists to support and improve models in production, and build APIs and data products to enable ML solutions across the business.
This role involves leading the ML Engineering capability, designing and building ML pipelines, and delivering NLP and LLM-driven solutions. You will work closely with Data Scientists to support and improve models in production, implement MLOps practices, and build APIs and data products.
As the Lead Data Engineer, you will lead the design and delivery of a modern cloud data platform, own data pipeline architecture, set data engineering standards, and mentor a team of Data Engineers. You will work closely with Analytics Engineers and Data Scientists to ensure strong data governance and support various data initiatives.
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.
As a Senior AI Engineer, you will design, build, and deploy production-grade generative AI systems, focusing on RAG pipelines, agentic workflows, and rigorous evaluation frameworks. You will provide technical leadership, mentor engineers, and collaborate closely with platform, product, and delivery teams to ensure AI systems are accurate, reliable, and grounded in business value.
This role involves hands-on development and deployment of AI, ML, and LLM-based technologies within a global SaaS platform. You will work closely with a 46-strong engineering team to integrate AI into product features, processes, and pricing models, with a focus on real-world applications and measurable outcomes.
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.
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.
