51 to 75 of 130 Remote PyTorch Jobs

productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. ...

analytics (industry or research). • Proficient in Python; C++ experience is a plus where performance or edge deployment matters. • Hands-on with TensorFlow or PyTorch; familiarity with data pipelines (e.g., Spark) is a plus. • Solid foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra). • English ...

analytics (industry or research). • Proficient in Python; C++ experience is a plus where performance or edge deployment matters. • Hands-on with TensorFlow or PyTorch; familiarity with data pipelines (e.g., Spark) is a plus. • Solid foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra). • English ...

these tasks, you will have the opportunity to develop skills with the following tools and platforms: Matlab and Simulink Python Deep Learning libraries (e.g. Pytorch, scikit-learn, ONNX) C/C++ Hardware development boards (e.g. NVIDIA Jetson products) Alongside involvement with departmental activities, you will be part of a wider ...

these tasks, you will have the opportunity to develop skills with the following tools and platforms: Matlab and Simulink Python Deep Learning libraries (e.g. Pytorch, scikit-learn, ONNX) C/C++ Hardware development boards (e.g. NVIDIA Jetson products) Alongside involvement with departmental activities, you will be part of a wider ...

learning teams in a corporate setting, driving AI strategies, and delivering business impact Proficiency in AI/ML and deep learning frameworks such as PyTorch Proven knowledge of deep learning, AI and ML architectures Expert ability to identify business objectives and fashion analytic solutions around these objectives Preferred Qualifications Appreciation ...

deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn Data Preparation : Work on collecting, cleaning, transforming, and analysing large datasets for training and testing models Feature Engineering : Support the design … Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. regression, classification, decision trees) Good grasp of data structures, algorithms, and programming fundamentals. Analytical mindset ...

deploy predictive ML models Mentor junior team members What you'll bring 4+ years' experience in data science Strong Python skills (pandas, numpy, PyTorch etc.) Experience with traditional ML techniques and statistical analysis Solid consulting skills - communication, problem-solving, stakeholder engagement Eligible for SC Security Check clearance Benefits: Private medical ...

analytics that can be generalised and adapted for different OpCos without extensive rework. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). Demonstrated ability to take ...

learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with frameworks such as GNU Radio, ZMQ, or C++ backends. The role involves leading RF data collection, field experiments, and over ...

prediction, protein co-folding, or computational drug discovery Experience deploying ML models into production environments Contributions to open-source scientific software (e.g., RDKit, OpenMM, PyTorch or related tools) If you meet at least 60% of the requirements or nice-to-have qualifications, we encourage you to apply. Benefits Base salary ...

experience. Required experience will include: Strong Python Programming skills. Strong design and development skills using Python. Python's libraries for machine learning: PySpark, Pytorch, scikit-learn and pandas. Technical experience using Databricks and MLFlow (Other Platforms can be considered). Good understanding of software code review standards - CI/CD. ...

experience. Required experience will include: Strong Python Programming skills. Strong design and development skills using Python. Python's libraries for machine learning: PySpark, Pytorch, scikit-learn and pandas. Technical experience using Databricks and MLFlow (Other Platforms can be considered). Good understanding of software code review standards - CI/CD. ...

similar industry Experience with ML projects Familiarity with Data Analysis Tech stack we use Python 3.6 and 3.12 Scientific python libraries: pandas, numpy, pytorch etc Airflow Hadoop PostgreSQL and MongoDB Docker Github, Teamcity, proprietary infrastructure tools S3 What You'll Get Flexibility to choose the tasks you have the best ...

/ML strategy and implementation within a commercial setting. Strong leadership and team management skills. Hands-on expertise with AI frameworks (TensorFlow, PyTorch) and programming languages (Python, R). Solid understanding of cloud platforms (Azure preferred) and data architecture. Excellent communication and stakeholder engagement abilities. Bonus experience: Familiarity with Microsoft ...

/ML strategy and implementation within a commercial setting. Strong leadership and team management skills. Hands-on expertise with AI frameworks (TensorFlow, PyTorch) and programming languages (Python, R). Solid understanding of cloud platforms (Azure preferred) and data architecture. Excellent communication and stakeholder engagement abilities. Bonus experience: Familiarity with Microsoft ...

frontiers: we think beyond "doable" and "reasonable". We design a sustainable and healthy future together. Machine Learning You have deep knowledge of pytorch and distributed training. You are experienced in ML system design. You bring experience in optimizing model architectures for both efficient inference and training. You have ...

Requirements Strong background in deep learning and transformer architectures Hands-on experience training or fine-tuning large models (LLMs or vision models) Proficiency with PyTorch, JAX, or TensorFlow Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray) Strong software engineering skills - writing robust, production-grade systems Experience with ...

inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Proficiency in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with software engineering practices and ML testing frameworks We encourage you to apply even ...

inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Proficiency in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with software engineering practices and ML testing frameworks We encourage you to apply even ...

Responsibilities: Build and deploy production-grade machine learning models (classification, regression, NLP, etc.) Develop reusable ML pipelines using Python and libraries like scikit-learn, PyTorch or TensorFlow Collaborate with cross-functional teams to integrate ML solutions into real applications Conduct model performance analysis and iterate based on business feedback Automate … experience deploying ML models into production environments Strong understanding of algorithms, data structures, and model evaluation metrics Experience with frameworks such as scikit-learn, PyTorch, TensorFlow Comfortable working in cloud environments ( AWS, GCP or Azure ) Familiarity with containerization ( Docker ) and CI/CD for ML workflows Exposure to time series ...

What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG). Loves solving … needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing ...

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join … client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile ...

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join … client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile ...

DataLake architectures. - Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods). - Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras. - Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs. - Integrate agentic AI frameworks (LangChain, LangGraph, MCP, Bedrock Agents … Trees, Random Forest, Gradient Boosted Trees, XGBoost - Unsupervised Models: K-Means, DBSCAN, Hierarchical Clustering Deep Learning - ANN, CNN, RNN, LSTM - Frameworks: TensorFlow (Gradient Tape), PyTorch NN, Keras Sequential NLP & Generative AI - NLTK, CBoW, n-grams, Word2Vec, TF-IDF, Word Embeddings - Transformers: BERT, ELMo - OpenAI Models: GPT-3.5 Turbo ...