9 of 9 Contract PyTorch Jobs in the South East

experience with Databricks, PySpark, Delta Lake, MLflow . Experience with LLMs (Hugging Face, LangChain, Azure OpenAI) . Strong MLOps, CI/CD, and model monitoring experience. Proficiency in Python, PyTorch/TensorFlow, FastAPI/Flask . Cloud architecture experience: Azure preferred, AWS/GCP acceptable . Skilled in Docker, Kubernetes, Helm, Terraform, IaC for deploying ML and web apps. More ❯

Scientist , ideally in a government or large-scale enterprise environment. Strong Python programming skills, including experience with data science and AI/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI services). Ability to More ❯

AI Engineer will have proven experience developing and deploying machine learning models in a commercial or scientific environment.* Proficient in Python and familiar with key libraries such as TensorFlow, PyTorch, and scikit-learn.* Experience working with cloud platforms such as Azure, AWS, or GCP, ideally within a data engineering or MLOps context.* Strong understanding of data processing, feature engineering, and More ❯

MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to assess or design organizational processes for data science delivery and model management. • Excellent analytical and communication skills, with the ability to synthesize technical observations into actionable More ❯

major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Desirable (but not essential) experience: Working with tools/interfaces for AI applications e.g. MCP protocol. Training traditional ML and DL models using tools like Axolotl, LoRA, or QLoRA. More ❯

teams, managing tasks with Jira , contributing to sprints and retrospectives. Applied CI/CD pipelines and Git for modular code delivery in Docker -based environments. Desirable Experience Experience with PyTorch for AI-based perception/control. Familiarity with MoveIt for motion planning in ROS2 . Knowledge of CUDA for C++ real-time optimisation. To Apply: Please email your CV More ❯

experience with modelling intelligent agents, including symbolic, neural, or hybrid approaches. Experience deploying to and managing workloads on MCP or distributed processing environments. Familiarity with libraries such as TensorFlow, PyTorch, LangChain, or Ray is a plus. Ability to write clean, efficient, and well-documented code in a collaborative environment. Desirable: Experience with multi-agent coordination or LLM-based autonomous agents. More ❯

Apply feature engineering and selection techniques to enhance model performance Build and validate ML models for prediction, classification, clustering, and optimization Use libraries such as Scikit-learn, TensorFlow, and PyTorch for supervised and unsupervised learning Implement NLP, time-series forecasting, and optimization algorithms as needed Collaborate with MLOps teams to deploy production-grade pipelines Communicate insights through dashboards and visualizations … ceremonies and contribute to the enterprise AI roadmap Required Skills Proven experience in data science and machine learning Strong Python skills and familiarity with ML libraries (Scikit-learn, TensorFlow, PyTorch) Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn) Ability to translate complex model outputs into actionable business insights Excellent communication skills with both technical and non-technical audiences More ❯

Join a forward-thinking team building the next generation of Generative AI applications using Google Gemini. This 6-month contract offers the chance to architect and deploy LLMs at scale on GCP, driving performance, efficiency, and innovation. You'll play More ❯