Future Tech Jobs
Future Tech Jobs
NVIDIA is known as the "AI Computing Company." Our GPUs power modern Deep Learning software frameworks, accelerated analytics, data centers, and autonomous vehicles. We are looking for a Dataflow Development Engineer - LPU Hardware to join our team and develop,...
NVIDIA is known as the "AI Computing Company." Our GPUs power modern Deep Learning software frameworks, accelerated analytics, data centers, and autonomous vehicles. We are looking for a Dataflow Development Engineer - LPU Hardware to join our team and develop,...
This role involves leading the technical strategy for ML/AI in the UK, coordinating ML engineering efforts across multiple teams, and driving MLOps standards. You will provide technical consultancy, identify emerging patterns, and mentor engineers while fostering a culture of continuous learning.
As an Applied Data Scientist, you will work on complex AI, NLP, and machine learning challenges for UK intelligence clients. You'll collaborate with engineering teams to build, train, and deploy models using modern cloud-native technologies in a highly secure, innovative environment.
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 reinventing Amazon's hiring process through advanced scientific methods, focusing on system health monitoring and optimizing candidate quality. The Data Scientist will develop and deploy scalable ML models, identify areas for automation, and design experiments to enhance the reliability and efficiency of talent acquisition systems.
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.
This role involves supporting computational drug discovery and antibody design efforts, working closely with multidisciplinary teams to evaluate and interpret computationally generated antibody candidates. You will contribute computational and structural biology expertise to inform discovery decisions and refine internal workflows.
As the Lead Data Scientist, you will take ownership of the company's machine learning and predictive modelling capabilities, working closely with experienced founders and industry experts. You will design and build scalable forecasting systems, apply machine learning techniques to large-scale data, and help shape the product strategy and data science best practices.
This role involves developing and validating machine learning models to support regulatory and financial risk detection, with a focus on AI/ML techniques, data analysis, and model deployment. The data scientist will work on tasks including time-series analysis, outlier detection, and risk trend assessment within a regulated financial environment. Collaboration with a delivery team is key, using modern MLOps practices and working with structured and graph-based data sources.
This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work with Open Banking and Credit Bureau data, perform feature engineering, and collaborate cross-functionally to drive innovation and growth in the financial services market.
This role involves working on cutting-edge machine learning and GenAI solutions, deploying LLMs and ML models in secure government and defence environments. You will lead technical delivery, design and optimise pipelines, and mentor junior engineers within a collaborative team.
This role involves designing and developing customer-focused data science solutions, taking models from problem definition to deployment and monitoring. You will work closely with stakeholders to translate business questions into robust modelling approaches and partner with engineers and analysts to productionise models.
This role involves leading a two-year R&D project to develop emotionally responsive virtual humans for soft-skills training. Responsibilities include setting technical direction, building AI systems that perceive and respond naturally, and collaborating across multiple disciplines to turn research into a reliable product.
