Senior Machine Learning Engineer - London

ALDIA es una empresa internacional con sede central en Londres, con presencia en España y Suecia. Nos especializamos en la consultoría tecnológica y de ingeniería. · En la actualidad, estamos buscando unMachine Learning Engineer que puede trabajar en la producción, implementación ...

· 上海衍复投资管理有限公司成立于2019年,是一家用量化方法从事投资管理的科技公司. · 负责机器学习/深度学习模型的研发、优化和落地. · ...

base地设定在上海, · 全职和实习皆可, · 欢迎全球各地优秀的华人加入. · ...

base地设定在上海,全职和实习皆可,欢迎全球各地优秀的华人加入。公司致力于通过10-20年的时间,把衍复打造为投资人广泛认可的头部资管品牌。鼓励充分交流合作。 · 1、负责机器学习/深度学习模型的研发,优化和落地, · 2、研究前沿算法及优化技术, · ...

base地设定在上海的全职和实习员工皆可加入。公司致力于通过10-20年的时间把衍复打造为投资人广泛认可的头部资管品牌。 · ...

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human-centric AI. · You'll design the learning logic behind our most innova ...

Why Faculty? · We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact ...

We're hiring one of the first technical engineers for a pioneering AI startup building a foundation model that fully automates development. · ...

We are on a mission to accelerate reinforcement learning for building superhuman artificial intelligence systems. · We believe that reinforcement learning will form a part of every sophisticated AI system of the future.It already impacts the world we live in, from its use in crea ...

We are currently on an existing journey with the client and working closely with them on this role. · ...

At Compare the Market, we're applying AI to real-world problems that help millions of people make smarter financial decisions. · ...

This is an opportunity to join a high-performing engineering team delivering AI systems that are used in live commercial environments. ...

· We are looking for a Machine Learning Engineer to help us create artificial intelligence products. · Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statisti ...

We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations. · Join the DSAI team at FactSet, where our mission is to enrich data from across the company to enable it ...

A Machine Learning Engineer is required to work in London on a hybrid basis for an initial duration of 5 months with possible extension. The role involves setting up Redis clusters, implementing real-time micro batches and using SageMaker MLOps. · ...

You will join a high-impact team working on training capable policies for real-world robotic and embodied AI systems. · You'll tackle the full ML lifecycle, from data collection to deployment. · ...

Department: Project Delivery · Location: London · Description · The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team – a technical, client‑facing group of Data Scientists and ML Engineers responsible for building ...

Join an applied research team advancing the state of the art in Video AI for real-world perception systems. · ...

The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team – a technical, client‑facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components ...

We're looking for passionate individuals obsessed with AI,eager to make a global impact,and ready to excel in a dynamic,high-energy environment. · 5+ years of professional experience in Machine Learning Engineering or a similar role. · ...

Why Faculty? · We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact ...