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Staff Machine Learning Engineer – | 3 Roles | London Hybrid – (2 days).

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid

We are seeking a Machine Learning Engineer – Generative AI (3D & Real-Time Rendering) to join our onsite team in London. You will work at the intersection of deep learning and computer graphics, collaborating closely with rendering and engine teams to integrate cutting-edge AI into production-grad

Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second.We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins,

Data Scientist/Machine Learning Engineer. Data science/Machine learning models from coding to deployment. Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning.

You will own the machine learning and computer vision components of the YEO CFR SDK. Expertise in machine learning frameworks, computer vision, signal processing, model optimisation, and programming languages as detailed above.

Machine Learning Scientist (Contract → Full-Time Potential). Design, build, and evaluate machine learning models on large-scale longitudinal patient datasets (e. Strong background in machine learning and ML engineering.

AI, Machine Learning, Reinforcement Learning, or Data Science. Staff Machine Learning Engineer. In this position, you will design, develop, deploy, and optimize machine learning models that power advanced AI systems.

Computer Vision, Machine Learning, Robotics, Mathematics, Physics, or similar).

Backed by top-tier VC, they combine cutting-edge machine learning with experimental biology to unlock new therapeutic pathways across oncology and rare diseases. Their team works across computational biology, machine learning, and wet-lab science -working closely to turn complex biological data into

Machine Learning Research Engineer,. Designing novel algorithmic and machine learning approaches to interpret complex scientific data. Experience in machine learning (research or applied).

Experience in commercial machine learning research and development. Experience working with data, training and evaluating machine learning models. Previously registered audio machine learning patents.

This role sits at the core of the business - bridging research, engineering, and product - and will play a key part in shaping how machine learning is applied across their discovery pipeline. Lead the design and development of machine learning models applied to biological datasets (e. Solid understa

Python/C++，掌握PyTorch/TensorFlow等框架；.Triton, cutlass，能根据业务需要写出高效算子；.

As a Machine Learning Engineer, you will take the lead on optimising the functionality, performance, and algorithmic engineering powering our machine learning models. Research state-of-the-art machine learning & machine vision techniques and adapt them to be compatible with our hardware. Lead the de

As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems.

Postdoctoral Researcher in Machine Learning for Exoplanet Atmospheric Modelling (Milton Keynes, ENG, GB, MK7 6AA). The School of Physical Sciences at the Open University, UK, invites applications for a 3-year fixed-term postdoctoral researcher in machine learning for exoplanet atmosphere modelling.

SAP IBP Demand Consultant - Machine Learning Integration (BPSS).

Postdoctoral Researcher in Machine Learning for Exoplanet Atmospheric Modelling (Milton Keynes, ENG, GB, MK7 6 AA)Salary: £46049. About the Role The School of Physical Sciences at the Open University, UK, invites applications for a 3-year fixed-term postdoctoral researcher in machine learning for