in perception for robotics or autonomous systems. Strong experience in computer vision, human pose estimation, and intent prediction. Knowledge of safety-related perception standards. Proficiency with machine learning frameworks (PyTorch/TensorFlow). Experience integrating perception into real-time safety systems. What We Offer: Competitive salary plus participation in our Stock Option Plan Paid vacation with adjustments based on your More ❯
london (city of london), south east england, united kingdom
Humanoid
in perception for robotics or autonomous systems. Strong experience in computer vision, human pose estimation, and intent prediction. Knowledge of safety-related perception standards. Proficiency with machine learning frameworks (PyTorch/TensorFlow). Experience integrating perception into real-time safety systems. What We Offer: Competitive salary plus participation in our Stock Option Plan Paid vacation with adjustments based on your More ❯
Central London, London, England, United Kingdom Hybrid / WFH Options
hireful
Ready to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who’s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You’ll be at More ❯
This isnt your average ML infrastructure role - it sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for ML and cloud, youll design and manage scalable, GCP environments, and set up the … week in London for the first few months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has More ❯
This isnt your average ML infrastructure role - it sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for ML and cloud, youll design and manage scalable, GCP environments, and set up the … week in London for the first few months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has More ❯
role This isnt your average infrastructure role - it sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set … time, 5 days a week in their London office. What theyre looking for Strong experience in cloud infrastructure engineering (multi-cloud is ideal). Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads More ❯
role This isnt your average infrastructure role - it sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set … time, 5 days a week in their London office. What theyre looking for Strong experience in cloud infrastructure engineering (multi-cloud is ideal). Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience setting up CI/CD pipelines for ML or data-heavy workloads. Someone who has worked with ML workloads More ❯
your average ML infrastructure role - it sits right at the intersection of cloud engineering and machine learning. Youll be building out ML nodes, training models, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for ML and cloud, youll design and manage scalable, GCP environments, and set up the … week in London for the first few months. What theyre looking for Strong experience in cloud infrastructure engineering (GCP, AWS, or Azure is fine) Deep hands-on experience with PyTorch and other ML frameworks. Kubernetes and Docker expertise at scale. Experience with training models (ideally image or video models). Experience in training models is a must! If you have More ❯
