1 to 25 of 814 Remote PyTorch Jobs

diagnostics. Strong foundation in AI/ML techniques, including supervised, unsupervised, and reinforcement learning, deep learning, and large language models (LLMs). Experience with ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Hands-on experience deploying ML models in production environments using MLOps principles. Expertise in relevant AI/ML applications, such as predictive maintenance, load forecasting, or optimization. More ❯

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which More ❯

software engineering fundamentals, including the ability to write production ready code, architect packages, and make sound architectural and procedural choices for effective shared codebases. Python and scientific computing packages ( pytorch , numpy , scikit-learn, tensorflow ). Database technologies such as ElasticSearch , Neo4j, and SQL. Excellent interpersonal, verbal, and written communication skills. A flexible attitude with respect to work assignments and new … Experience : Strong previous NLP Engineer or Machine Learning Engineer experience working in a commercial environment is essential. Advanced level experience with the following tools: Git, Github, scientific computing packages (pytorch, numpy, tensorflow) , AWS or Azure cloud platforms, JIRA, Confluence, Docker. High level expertise in the use of Python is essential. Experienc e producing high quality code in a shared context More ❯

or a related field required. Master's degree preferred. 3 to 5 years of experience building full-cycle data science and machine learning solutions. Expertise with machine learning libraries: PyTorch, TensorFlow, scikit-learn, and deep understanding of model lifecycle management. Strong command of the tools for building machine learning models. Proficient in Python (Pandas, NumPy, scikit-learn, PyTorch) and advanced More ❯

from you: Strong understanding of a wide range of ML algorithms. Understanding of MLOps practices for managing and monitoring models in production. Experience with deep learning frameworks (e.g. TensorFlow, PyTorch). Proficiency in programming languages such as Python, SQL and R. Knowledge of SQL and NoSQL databases for data storage and retrieval. Experience with LLM application design and deployment. Strong More ❯

from you: Strong understanding of a wide range of ML algorithms Understanding of MLOps practices for managing and monitoring models in production. Experience with deep learning frameworks (e.g. TensorFlow, PyTorch) Proficiency in programming languages such as Python, SQL and R. Knowledge of SQL and NoSQL databases for data storage and retrieval. Strong software engineering skills, including version control (Git), code More ❯

Advanced Analytics and Machine Learning projects, following methodologies such as CRISP-DM. Design, implement, and optimize NLP (Natural Language Processing) and Generative AI models, using advanced frameworks such as PyTorch, TensorFlow, or Hugging Face. Collaborate with engineering teams to integrate models into production environments using MLOps practices and CI/CD pipelines. Analyze large volumes of structured and unstructured data … or Machine Learning Engineer, with at least 1 year in leadership roles. Advanced proficiency in Python programming and practical knowledge in AI/ML-related frameworks (Scikit-Learn, TensorFlow, PyTorch). Experience with data processing and analysis tools: SQL, Databricks, and relational/non-relational databases. Solid knowledge in MLOps practices, continuous integration (CI/CD), and deployment of models More ❯

in Computer Science, Data Science, Machine Learning, or a related field. 3+ years of experience in developing machine learning solutions. Strong proficiency in Python and libraries such as TensorFlow, PyTorch, scikit-learn, XGBoost. Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Solid understanding of ML lifecycle: data handling, model development, deployment, and monitoring. Familiarity with More ❯

collaboration skills Full right to work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: Competitive Salary More ❯

collaboration skills Full right to work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary More ❯

collaboration skills Full right to work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary More ❯

collaboration skills Full right to work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary More ❯

Excellent communication and collaboration skills Full right to work in the UK (we are unable to offer visa sponsorship for this role) Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) ? Competitive Salary & Bonus More ❯

portfolio of projects involving models like GANs, VAEs, transformers, or diffusion models Proficiency in programming languages such as Python, R, or Julia, and experience with ML frameworks like TensorFlow, PyTorch, or Keras Strong understanding of deep learning architectures, neural networks, and statistical modeling techniques Experience with cloud platforms (AWS, Azure, Google Cloud) and MLops tools for model deployment and management More ❯

CUDA, Triton); cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; C/C++ for computer vision, geometry processing, or scientific computing; software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API More ❯

data preprocessing, and feature engineering. Proven experience building and deploying RAG systems and/or LLM-powered applications in production environments. Proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers, or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex). Hands-on experience with fine-tuning and distillation of More ❯

Lead Machine Learning Engineer, Associate Director, London Join to apply for the Lead Machine Learning Engineer, Associate Director, London role at Fitch Group, Inc. Lead Machine Learning Engineer, Associate Director, London 2 weeks ago Be among the first 25 applicants More ❯

architectures for enterprise-scale applications. Develop and optimize vector embedding generation pipelines using ScaNN or similar ANN techniques. Train, fine-tune, and deploy ML/DL models using TensorFlow, PyTorch, JAX, or similar frameworks. Collaborate with data engineers and solution architects to integrate models into scalable cloud solutions. Perform model evaluations, A/B testing, and hyperparameter tuning for optimal … learning. Experience working with deep learning frameworks (such as TensorFlow, Keras, Torch, Caffe, Theano). Strong coding skills in Python and familiarity with ML/DL libraries like TensorFlow, PyTorch, or JAX. Knowledge of data analytics concepts, including data warehouse technical architectures, ETL and reporting/analytic tools and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume … and operations. Demonstrated excellent communication, presentation, and problem solving skills. Experience in project governance and enterprise customer management. Proficiency in building Graph Neural Networks (GNNs) using frameworks like DGL, PyTorch Geometric, or similar. Experience with ScaNN or other approximate nearest neighbor (ANN) techniques for vector similarity search. Hands-on experience with Google Cloud Platform (GCP) tools such as Vertex AI More ❯

understanding. Machine Learning & Statistical Modelling Implement both classical ML methods (regression, clustering, time-series forecasting) and advanced algorithms (XGBoost, LightGBM). Address computer vision, NLP, and generative tasks using PyTorch, TensorFlow, or Transformer-based models. Model Deployment & MLOps Integrate CI/CD pipelines for ML models using platforms like MLflow, Kubeflow, or SageMaker Pipelines. Monitor model performance over time and … mitigation. Employ model explainability methods (SHAP, LIME) and adopt best practices for responsible AI. Qualifications Technical Skills Programming: Python (NumPy, Pandas), R, SQL. ML/DL Frameworks: Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers. Big Data & Cloud: Databricks, Azure ML, AWS SageMaker, GCP Vertex AI. Automation: MLflow, Kubeflow, Weights & Biases for experiment tracking and deployment. Architectural Competencies Awareness of data More ❯

systems meet key business objectives. Stay informed on advancements in AI and integrate the latest technologies into solutions. Key Skills & Experience: Strong programming skills in Python (experience with TensorFlow, PyTorch, or similar frameworks). Expertise in deploying models on cloud platforms (Azure) or containerised environments (Docker, Kubernetes). Proficiency in machine learning algorithms and advanced AI techniques, including transformer-based More ❯

Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale datasets. Familiarity with cloud platforms like AWS More ❯

Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale datasets. Familiarity with cloud platforms like AWS More ❯

/ML development and data science. • Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). • Proficiency in Python, R, or other relevant programming languages. • Proficiency in working with large datasets, data wrangling, and data preprocessing. More ❯

related field. 3+ years of experience in AI development. Strong understanding of machine learning, deep learning, and other AI techniques. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas, SQL). Experience with cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform. Ability to work with More ❯

Pandas, TensorFlow, AI Foundry, OpenAI, Scikit-learn etc.). • Solid understanding of core machine learning concepts • Hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch, Keras). • Proven understanding of software engineering principles, data structures, algorithms, and design patterns. • Experience with version control systems (e.g., Git). • Excellent problem-solving and analytical skills. • Strong communication More ❯