10 of 10 DemandTrendContract PyTorch Jobs in England

performance optimisation * Experience developing & deploying productionised Machine Learning applications on a cloud platform (GCP ideal, AWS & Azure also acceptable) * Experience with common Python packages for Machine Learning - examples include PyTorch, TensorFlow, XGBoost, scikit-learn, SciPy, NumPy, pandas, etc. * Strong knowledge of SQL and its use for data preparation & feature engineering * Understanding of & practical experience with implementing MLOps principals - including automated More ❯

to-date with the latest ML research and tools. Required Skills & Experience Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. Experience with cloud platforms (AWS preferred). Familiarity More ❯

production systems. Collaborate with data scientists, engineers, and product teams to define AI solutions. Ensure scalability, performance, and ethical AI practices. Required Skills & Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP More ❯

ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI). Experience in Linux environments. Proficiency in programming languages such as Python, Java, or C++. Experience with machine learning libraries like PyTorch, SciKit, NumPy, etc. Excellent communication skills, teamwork abilities, and a results-oriented attitude. Strong problem-solving and debugging skills. Desirable Skills: Expertise in Image/Video generation, PEFT-LoRA, Diffusion More ❯

/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI). Proficient in programming languages like Python, Java, or C++, and experienced with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy). Comfortable working in Linux environments and collaborating in a hybrid team setup. Exceptional communication, teamwork, and problem-solving skills. Why Join Us? Be part of a team More ❯

Deep experience with Azure services, especially Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Data Lake, and Azure Synapse, Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, Strong understanding of MLOps concepts, including continuous integration/continuous, deployment (CI/CD) for ML, model versioning, monitoring, and retraining, Proficiency with Scripting and programming languages More ❯

Natural Language Processing, Large Language Models, and next-generation AI applications. Skills Required: Strong knowledge of Machine Learning, NLP (Natural Language Processing), and Deep Learning Proficiency in Python and PyTorch Experience with at least one: PEFT, Prompting, Generative AI, LLMs, Model Privacy, or Model Compression Understanding of Transformer-based architectures and model training at scale Educational background: Ideally, a PhD More ❯

a small, agile team working on projects ranging from genomic data interpretation to clinical trial optimization . Key Responsibilities: Build and deploy ML models using Python , scikit-learn , and PyTorch Work with structured and unstructured biomedical datasets (e.g. genomic sequences, patient records, imaging) Collaborate with bioinformaticians and clinical researchers to translate data into actionable insights Contribute to the development of More ❯

and help shape AI risk frameworks. Required Skills & Experience 10+ years of professional experience, including demonstrable AI/ML expertise. Hands-on knowledge of LLMs, deep learning frameworks (eg, PyTorch, TensorFlow). Advanced Python skills; SQL a plus. Experience articulating risks in business terms and advising on mitigation. Excellent stakeholder communication skills, up to C-level. Strong analytical and reporting More ❯

automation Excellent communicator able to work with diverse technical teams Strong software engineering skills in data-intensive environments Nice to Have Knowledge of machine learning principles and frameworks (e.g., PyTorch) Experience in front-end technologies like JavaScript Exposure to full-stack development or ML infrastructure Previous experience in high-scale software or research environments More ❯