1 to 25 of 27 Remote PyTorch Jobs

communication Implement best practices for data governance, security, and MLOps on GCP Proficiency with Python and common AI/ML frameworks such as TensorFlow, PyTorch, JAX, scikit learn, and Hugging Face libraries Knowledge of MLOps and LLMOps practices-including CI/CD for models, model registry/versioning, feature stores ...

Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems Familiarity with API integrations and data acquisition pipelines ...

BI. Published work, patents or conference presentations related to AI or data science in finance. Technical Skills Programming: Python (pandas, scikit‐learn, TensorFlow/PyTorch), R, SQL, Jupyter notebooks and version control (Git). Machine Learning: regression, classification, clustering, tree‐based models, neural networks, MLOps practices and model deployment. Data ...

pipelines and manage model deployment using Kubernetes/OpenShift and MLOps principles. Technical Requirements Core Programming: Expert-level Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, FastAPI, LangChain, LlamaIndex). Generative AI: Deep experience with LLMs (Gemini, OpenAI, Claude, Llama) and evaluating model safety/performance via Guardrails. Data Science ...

. Published research, patents, or conference presentations in AI or data science related to finance. Technical Skills Programming: Python (pandas, scikit‐learn, TensorFlow/PyTorch), R, SQL, notebooks, Git. Machine Learning: regression, classification, clustering, tree‐based models, neural networks; MLOps, model deployment, automated testing. Data Platforms: relational databases, NoSQL, time ...

Machine Learning Engineer or equivalent role Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with cloud-based ML deployment (e.g., AWS SageMaker, Lambda, S3) Knowledge of MLOps/LLMOps tooling (e.g., MLflow, Weights & Biases, Data Version ...

Generative AI Engineer: Hands-on experience with Generative AI and LLMs Strong programming skills in Python Experience with frameworks such as TensorFlow, PyTorch, LangChain or similar Experience with prompt engineering and LLM integration Exposure to cloud platforms (AWS, Azure or GCP) Experience integrating APIs and microservices architectures Experience working within ...

Skills & Experience Strong experience with Python and/or Node.js in production environments Hands-on expertise with LLM frameworks: LangChain, LlamaIndex Deep experience with PyTorch for model training and fine-tuning Proven experience with vector databases: Pinecone. Azure Vector Store Experience building voice-enabled AI systems using: Whisper, ElevenLabs, Azure ...

individuals who combine strong technical ability with curiosity and a problem-solving mindset. Strong Python skills Experience building ML models using frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents) Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases) Experience ...

individuals who combine strong technical ability with curiosity and a problem-solving mindset. Strong Python skills Experience building ML models using frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents) Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases) Experience ...

Data Scientist with production ML exposure Strong understanding of ML algorithms, model development, and deployment Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Familiarity with data pipelines and cloud or on-prem environments Understanding of MLOps principles Ability to work in secure or regulated environments Eligibility Must ...

Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building and deploying APIs Strong visualization and communication skills , with the ability to translate complex technical findings ...

tooling stack What They’re Looking For 4+ years experience in machine learning, data science, or AI engineering Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow) Experience working with biological or biomedical data (industry or academia) Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, etc.) Familiarity with ...

ownership of complex problems Strong communication skills, with the ability to explain technical concepts clearly Technical Environment Python (e.g. pandas, scikit-learn, TensorFlow/PyTorch where relevant) SQL and large-scale data processing Cloud-based environments (e.g. AWS, Azure, or similar) Experience with model deployment, monitoring, and lifecycle management ...

Communication: Ability to collaborate across disciplines and present technical findings clearly. Bonus Points: A PhD in Chemistry or Computer Science , experience with RDKit/PyTorch , or a track record of open-source contributions. Why Join? Equity: A competitive option plan aligned with the early stage of the company. Modern Benefits ...

with awareness of latency and cost tradeoffs MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI Experience with Python and modern ML frameworks (PyTorch, JAX) Excellent verbal and written English communication skills Excellent analytical and problem-solving skills A desire to innovate and push current practice Desirable: Experience with ...

practices Skills & Experience Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) Experience with RAG and LLM-based solutions Solid understanding of AI architectures and data pipelines Knowledge of security, compliance, and governance principles from ...

communicate complex technical concepts to both scientists and stakeholders. Bonus Points: Any experience with structure prediction , open-source contributions (like RDKit or PyTorch ), or deploying models to production is a major plus. Why Join? Location: Based in a beautiful, historic office in Victoria House, London . Flexibility: Hybrid working Equity ...

role Strong expertise in AI, machine learning, and statistical methods Proficiency in Python and ML/data analysis libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers, statsmodels) Experience with cloud-based ML deployment (e.g., AWS services) Ability to absorb complex scientific concepts and apply them to real-world problems Strong ...

/AI engineering roles Proven track record of deploying ML models into production environments Strong Python skills and deep experience with frameworks such as PyTorch or TensorFlow Experience working with complex, high-dimensional datasets (biological data strongly preferred) Solid understanding of modern ML approaches (deep learning, representation learning, etc.) Experience ...

tier conferences Balance innovation with delivery constraints Requirements : PhD in Machine Learning, AI, Computer Vision, or related field Strong experience with deep learning frameworks (PyTorch/TensorFlow) Strong experience with computer vision models and ML training and evaluation pipelines Strong programming skills (Python, Java, C, CUDA and/or C++ ...

remote basis, outside IR35, for a major pharmaceutical company. The key skills required for this MLOps Engineer position are: MLOps Image data Terraform AWS PyTorch, TensorFlow, JAX If you do have the relevant experience for this long term remote contract MLOps Engineer role, outside IR35, please do apply. ...

remote basis, outside IR35, for a major pharmaceutical company. The key skills required for this MLOps Engineer position are: MLOps Image data Terraform AWS PyTorch, TensorFlow, JAX If you do have the relevant experience for this long term remote contract MLOps Engineer role, outside IR35, please do apply click apply ...

Head of AI – 120k – 150k GenAI/Agentic AI – Brighton (Hybrid) – AI-native Scale-up GenAI | Agentic AI | Machine Learning | Python | PyTorch | AI Strategy | LLMs | RAG | MLOps | Leadership |Do you want to lead AI at the core of a truly AI-native business building the next generation of virtual sales … delivering commercial products Deep GenAI and classical ML expertise Hands-on experience with Agentic AI, evaluation frameworks, RAG and prompt engineering Strong Python skills (PyTorch, scikit-learn, modern ML frameworks) A commercial mindset, balancing tech investment with customer value The credibility to lead technically and influence at exec level Desirable ...

software engineering background - Python, JavaScript, Typescript node.js etc - A real passion for bleeding edge generative AI and/or advanced machine learning technology - Pytorch, TensorFlow, LlamaCPP, Keras etc - Varied database exposure - PostgreSQL, MongoDB, CosmosDB - Cloud services exposure - AWS preferred but all considered - Very strong communication skills - Experience working … market leading business with innovation at its core please apply now to be considered Birmingham Research & development, generative AI, machine learning, LLM, Python, PyTorch ...