10 of 10 Remote/Hybrid PyTorch Jobs in Berkshire

achieve reliable results. True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn) and know when a simple classifier is better than a generative model. Data Fluency: You understand how to build datasets from ...

desirable experience Experience with large-scale ML systems (model training, serving, platforms) Experience supporting or working inside ML research teams Familiarity with ML frameworks (PyTorch, TensorFlow etc) Experience building pipelines for scientific or healthcare data Knowledge of cluster compute, distributed training and GPUs Understanding of healthcare data or regulated environments ...

Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people ...

incident response for deployed ML systems Required Skills and Experience Strong programming skills in Python; experience with ML libraries such as Snowpark, PySpark, or PyTorch Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex ...

reward modelling, RLHF). Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training ...

technical leader with the ability to guide engineers and influence stakeholders Clear, pragmatic communicator with a delivery-focused mindset Desirable (Not Essential) Experience with PyTorch, TensorFlow, or similar ML frameworks Exposure to MLOps, model monitoring, or AI performance optimisation Frontend collaboration experience (e.g. React-based systems) Cloud-native or containerised ...

recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy. Excellent communication ...

hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks. The Company The Python Developer ...

experience in leading or mentoring ML/AI engineering teams. Deep understanding of digital signal processing and speech/audio modelling. Proficiency with Python, PyTorch/TensorFlow, and modern ML frameworks. Track record of delivering production-grade ML systems with measurable performance improvements. Experience with low-latency inference and model ...

installer creation Familiarity with 3D file formats (Alembic, USD, glTF, FBX) Background in VFX, games, or virtual production workflows Experience with ML pipeline integration (PyTorch, model inference optimization) What we offer The chance to shape the future of 3D content creation in a fast-moving startup Direct contact & close relationships ...