Future Tech Jobs
Future Tech Jobs
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
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.
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 impactful projects. The position requires strong experience in deep learning, model development, and working with large datasets.
This role involves leading technical decision-making and hands-on delivery of machine learning and NLP projects. You'll coach a team of Data Scientists, collaborate with Engineering and AI teams, and drive best practices in model governance and deployment.
This role involves developing machine learning and optimization models for Amazon's large-scale transportation planning systems, focusing on external freight. Responsibilities include creating dynamic pricing and network planning models, building scalable products, and implementing algorithms in production systems. The team works on optimizing Amazon's freight marketplace, improving the experience for carriers and shippers, and solving complex problems with significant business impact.
This role involves developing and deploying machine learning and AI models for risk scoring, churn prediction, and compliance checks. You'll work closely with engineering and product teams to build scalable solutions using modern cloud technologies and ML frameworks.
This role involves developing and deploying machine learning models to generate trading signals using large financial datasets. You will work on feature selection, model validation, and productionising research, collaborating closely with other researchers and engineers to ensure robust and scalable systems.
This role involves designing and executing experiments to measure the impact of ad policies on customer behavior and business outcomes. You will develop causal inference models and collaborate with scientists, engineers, and product teams to deliver measurable business impact.
This role involves leading the scientific design, validation, and evolution of AI-powered assessment and learning solutions. You will work closely with product leadership, engineering teams, and domain experts to translate advanced research into production-ready systems, ensuring they are fair, explainable, and scalable.
As an AI Assurance Technical Expert, you will lead hands-on assessments of AI systems to ensure they are trustworthy, scalable, and compliant. You will collaborate with cross-functional teams to embed best practices in AI engineering, governance, and assurance, while translating complex technical insights into actionable guidance.
As a Technical Program Manager for Agents Innovation at DeepMind, you will manage the lifecycle of agentic innovations, from early research to production-ready models. You will lead complex engineering workstreams, drive the development of evaluation benchmarks, and ensure seamless integration across Google’s product ecosystem.
As a Site Reliability Engineer (SRE) at JPMorgan Chase, you will work within the Chief Data & Analytics Office to develop and maintain advanced data and analytics platforms. Your responsibilities will include managing an AWS Databricks platform, collaborating with cross-functional teams, and driving continuous improvement in system observability and operational excellence.
As a Data Science Manager in Logistics, you will lead the Autoplanner team to develop and deploy AI systems that optimize planning across global warehouses and last-mile assets. You will collaborate with product and engineering teams to integrate data science models into backend services, mentor team members, and drive best practices in a fast-paced environment.
As a Data Science Lead in Logistics, you will lead the Autoplanner team to build AI systems that unify planning across global warehouses and last-mile assets. Your role involves driving the development of machine learning solutions, mentoring team members, and integrating data science models with backend services to enhance the Ocado Smart Platform.
This role involves leading the development of geospatial and movement intelligence products, owning the technical direction and roadmap for critical data product areas. You will work closely with engineering, product, and data science teams to build scalable datasets and production-grade models that improve operational efficiency and solve complex real-world problems.
