11 of 11 Remote/Hybrid PyTorch Jobs in the North West

technical stakeholders What we're looking for Essential experience Strong grounding in statistical modelling, experimentation and inference Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience ...

Required Skills & Qualifications: Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed Hands-on experience in Docker for Production deployment. Proven experience managing teams delivering ML/LLM models in production environments. ...

Commercial experience as a Machine Learning Engineer, AI Engineer, or similar role Strong programming skills in Python Experience with machine learning frameworks such as PyTorch or TensorFlow Solid understanding of supervised and unsupervised learning techniques Experience deploying models into production environments Familiarity with cloud platforms such as AWS, Azure ...

across the organisation Supporting a move towards a product-aligned, hub-based operating model Technology Stack Cloud-first environment with Microsoft Azure Fabric Python, PyTorch SQL Apache Spark Azure Data Factory (ADF) Git What We're Looking For 3-4 years' experience in AI/ML engineering, data engineering ...

Looking For: Proven experience in AI/ML, ideally from a startup or high-growth scaleup environment. Expert in Python and frameworks such as PyTorch or TensorFlow. Experience deploying AI models in production, preferably in cloud environments (AWS, GCP, Azure). Entrepreneurial mindset – able to make technical decisions ...

with production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioning Strong Python skills and experience with PyTorch, TensorFlow or Keras Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI Bachelor's degree in a technical field ...

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 ...

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 ...

other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

cloud/server management (AWS, Azure, or local hosting). 5. Knowledge of cybersecurity best practices. 6. Familiarity with machine learning frameworks (e.g. TensorFlow, PyTorch). 7. Previous leadership or mentoring experience. NB. You would be expected to work 4 days a week alongside the team in Loughborough ***We will ...

looking for Senior or Staff-level AI/ML engineer (roughly 10–12+ years' experience) Expert Python skills with deep ML frameworks experience (PyTorch, TensorFlow, or similar) Proven experience running production ML systems at scale Strong background in model deployment, MLOps, and ML system architecture Experience with LLMs, transformers ...