Future Tech Jobs
Future Tech Jobs
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.
As a Research Data Scientist at dunnhumby, you will work on developing and implementing advanced machine learning and statistical techniques to solve complex business problems. Your day-to-day responsibilities will include creating new science-based solutions, performing data analysis, and collaborating with cross-functional teams to deliver innovative insights and products.
As a Senior Back End Engineer at Thought Machine, you will lead the development of the Vault product, focusing on designing and implementing scalable microservices. You will work closely with other engineering teams, manage deployments, and translate customer requirements into actionable tickets. The role involves a fast-paced environment with a strong emphasis on code quality and best practices.
As a Senior Site Reliability Engineer, you will be responsible for maintaining and improving the robust production infrastructure that powers Thought Machine's Core Banking and Payments platforms. You will work closely with product engineering teams to build highly fault-tolerant, scalable applications, execute disaster recovery and capacity planning, and drive the evolution of SaaS products to ensure exceptional reliability and user experience.
About RelationRelation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly...
As a Platform Engineer, you will play a crucial role in developing and scaling our hybrid cloud infrastructure, working closely with the Machine Learning and Data Science teams. Your responsibilities will include designing and managing Kubernetes clusters, enhancing CI/CD pipelines, and ensuring robust monitoring and security measures.
This role involves building and maintaining scalable data pipelines using Python and PySpark within a modern cloud-based environment on Azure, transitioning to a Databricks Lakehouse architecture. The engineer will collaborate with cross-functional teams including QA and machine learning, contribute to CI/CD and DevOps practices, and support the evolution of data engineering standards. It's an early-career position with strong emphasis on learning, growth, and exposure to advanced analytics and modern data platforms.
In this role, you will design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure. You will develop core services and APIs, architect scalable distributed systems, and optimize backend performance for latency, throughput, and cost.
As a Lead Engineer on the Application Platform Team, you will guide the development of a modern, unified intelligence layer for AI and real-time data. You will work closely with platform, product, and data teams to deliver scalable, production-ready solutions while fostering a collaborative, high-performing engineering environment.
The role involves designing, developing, and implementing advanced analytics and machine learning models to solve complex business problems. Responsibilities include collaborating with technology teams, ensuring model accuracy and stability, and providing ongoing support for analytics solutions. The position also requires managing a large team, influencing strategic initiatives, and ensuring compliance with regulatory requirements.
As a Machine Learning Engineer, you will design and build autonomous AI agents using LLMs and advanced reasoning frameworks. You will specialize in RAG pipelines, fine-tune models, and ensure robust and trustworthy AI systems in the insurance and fintech domain.
As a Data Scientist, you will work on developing and deploying machine learning models to optimize business operations in the retail industry. You'll collaborate with engineers, experiment with innovative solutions, and communicate insights to non-technical stakeholders.
As an AI/ML Engineer, you will work on complex and novel research projects, delivering innovative solutions to challenging problems. Your role involves hands-on technical expertise in AI/ML disciplines like computer vision, reinforcement learning, and NLP, while leading teams and collaborating with customers in a high-technology defence consultancy.
Senior Software Engineer (C++) | Robotics | Hybrid | AthensDescriptionOcado Technology is changing the way the world shops using advanced Artificial Intelligence, Machine Learning, Robotics, Big Data, Cloud and IoT. We develop the innovative software and hardware systems that power...
