26 to 37 of 37 Deep Learning Jobs in West Yorkshire

Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine … acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and More ❯

time and Permanent Remuneration (UK – Remote): £40–56k + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from … the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine … perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source More ❯

time and Permanent Remuneration (UK – Remote): £40–56k + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from … the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine … perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source More ❯

Our goal is to surpass even the performance of leading simulators like Nvidia's, achieving a 100x speed improvement in training. This requires a deep understanding of robotics, control theory, and high-performance computing. As a Senior Robotics Control Engineer, you will: Contribute to the development of both our … Simulation Framework and AI Robotic Infrastructure. Develop control algorithms that effectively translate simulated environments to real-world robot behavior. Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods. Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and … training processes. Qualifications: Solid understanding of control theory, with a focus on manipulation and locomotion tasks. Proficiency in Python/C++ and deep learning frameworks like PyTorch. Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries. Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a More ❯

Our goal is to surpass even the performance of leading simulators like Nvidia's, achieving a 100x speed improvement in training. This requires a deep understanding of robotics, control theory, and high-performance computing. As a Senior Robotics Control Engineer, you will: Contribute to the development of both our … Simulation Framework and AI Robotic Infrastructure. Develop control algorithms that effectively translate simulated environments to real-world robot behavior. Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods. Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and … training processes. Qualifications: Solid understanding of control theory, with a focus on manipulation and locomotion tasks. Proficiency in Python/C++ and deep learning frameworks like PyTorch. Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries. Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a More ❯

Our goal is to surpass even the performance of leading simulators like Nvidia's, achieving a 100x speed improvement in training. This requires a deep understanding of robotics, control theory, and high-performance computing. As a Senior Robotics Control Engineer, you will: Contribute to the development of both our … Simulation Framework and AI Robotic Infrastructure. Develop control algorithms that effectively translate simulated environments to real-world robot behavior. Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods. Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and … training processes. Qualifications: Solid understanding of control theory, with a focus on manipulation and locomotion tasks. Proficiency in Python/C++ and deep learning frameworks like PyTorch. Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries. Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a More ❯

etc.), plus a taste for no-code/low-code (Zapier, Make, n8n, Airtable). Technically Inclined: You don't need to be a deep learning PhD, but you have the technical capability to understand how AI tools work, prototype solutions, and critically assess their reliability and robustness. More ❯

etc.), plus a taste for no-code/low-code (Zapier, Make, n8n, Airtable). Technically Inclined: You don't need to be a deep learning PhD, but you have the technical capability to understand how AI tools work, prototype solutions, and critically assess their reliability and robustness. More ❯

etc.), plus a taste for no-code/low-code (Zapier, Make, n8n, Airtable). Technically Inclined: You don't need to be a deep learning PhD, but you have the technical capability to understand how AI tools work, prototype solutions, and critically assess their reliability and robustness. More ❯

combat the mental health epidemic unfolding around the world by ensuring that people have access to affordable and reliable mental health tools. We deploy deep learning AI to screen for common mental health symptoms in order to tailor digitally delivered therapeutics to a person's unique symptom profile. More ❯

combat the mental health epidemic unfolding around the world by ensuring that people have access to affordable and reliable mental health tools. We deploy deep learning AI to screen for common mental health symptoms in order to tailor digitally delivered therapeutics to a person's unique symptom profile. More ❯

combat the mental health epidemic unfolding around the world by ensuring that people have access to affordable and reliable mental health tools. We deploy deep learning AI to screen for common mental health symptoms in order to tailor digitally delivered therapeutics to a person's unique symptom profile. More ❯