1 to 25 of 62 Remote/Hybrid PyTorch Jobs

impact projects in production Expert-level programming skills in Python and SQL, and fluency with leading ML/AI frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Direct experience with GenAI/LLM technologies, including tools like Hugging Face, LangChain, OpenAI APIs, vector databases, and fine-tuning methods Deep knowledge of machine ...

programming skills in Python Understanding of machine learning fundamentals (supervised/unsupervised learning, model evaluation, overfitting, etc.) Experience with common ML libraries such as PyTorch, TensorFlow, scikit-learn , or similar Solid foundation in data structures, algorithms, and software engineering principles Strong problem-solving skills and attention to detail Excellent communication ...

Science, or related field 2+ years of experience in AI or machine learning engineering Strong programming skills in Python Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) Solid understanding of machine learning algorithms and statistics Experience working with large datasets and data pipelines Professional working proficiency in English Nice ...

contribute to our internal library of proprietary tools and frameworks. Technical Profile Expert Programming: Mastery of Python and its ecosystem (Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow). Experience writing production-ready, modular, and well-tested code. Advanced Modeling: Deep theoretical and practical knowledge of Machine Learning. You should ...

stakeholders to identify and validate use cases. Essential Skills At least 6-10 years of hands-on development and architectural experience. Proficiency in Python, PyTorch, TensorFlow, or similar frameworks. experience with supervised, unsupervised, and reinforcement learning. Solid grounding in Natural Language Processing (NLP) concepts such as tokenisation, embeddings, semantic search ...

skills. Advanced Analytics Expertise: Proficiency in Python and advanced analytics techniques for structured data, with experience using AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and Machine Learning : Deep understanding of NLP and ML methods for unstructured data, including experience with foundation models and large ...

/Knowledge/Experience (Up to 10) 10+ years of experience in software engineering, with 5+ years in AI/ML. Expert in Python, PyTorch, TensorFlow, and NLP frameworks. Proven experience with LLMs, transformer architectures, and LangChain/Hugging Face. Strong foundation in algorithms, model evaluation, and ML workflows. Deep ...

experience deploying models into production environments. Key skills and experience include: Strong programming skills in Python Experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn Advanced knowledge of statistics, probability, and optimisation techniques Proven experience building, testing, tuning, and optimising machine learning models Comfortable working with large ...

predictions. Proven expertise in time-series forecasting and spatio-temporal modeling, ideally applied to weather or energy systems. Strong proficiency in Python (Pandas, NumPy, PyTorch, TensorFlow, scikit-learn, Lightning, or equivalent). Solid understanding of data engineering and ML infrastructure Experience deploying ML models to cloud-native environments (Kubernetes, Docker ...

have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud platforms such as Azure, AWS, or GCP Benefits The successful ...

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 ...

demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency in Python and associated data science libraries (NumPy, Pandas, SciPy, scikit‐learn, PyTorch/TensorFlow). Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear, mixed‐integer, reinforcement learning desirable ...

share learnings across the team. Requirements: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow. Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments. Strong experiment design skills: hypothesis formulation, A/B testing, and statistical ...

computer vision, audio, graphs, time-series or tabular data Strong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC) Understanding of software engineering and ML best practices, including version control, packaging and model deployment Experience training and deploying models using cloud platforms, particularly ...

scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep experience in Python and PyTorch/TensorFlow. Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g. ...

achieve reliable results. True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn) and know when a simple classifier is better than a generative model. Data Fluency: You understand how to build datasets from ...

Required Skills: Experience in data science, machine learning, or applied analytics Strong proficiency in Python and common ML libraries (pandas, NumPy, scikit‐learn, TensorFlow, PyTorch) Experience designing, training, and evaluating machine‐learning models Solid understanding of statistical methods, predictive modelling, and experimental design Experience working with large or complex datasets ...

Implement experiment tracking and monitoring Collaborate with data scientists and engineers What We're Looking For: Proficiency in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda) Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS) Knowledge of LLMOps and GenAI tools ...

experience in AI, machine learning, or deep learning. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks like TensorFlow, PyTorch, or Keras. Experience with large language models (GPT, BERT, etc.). Fine-tuning and prompt engineering. Experience with vector similarity search. Knowledge of popular vector ...

/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. ...

experience as a data scientist in industry or related environments. Proficiency in Python and common ML/data libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers). Understanding of software and ML engineering best practices (git, package development, model deployment). Experience with cloud platforms, particularly AWS, for training ...

years' experience in ML/AI engineering or data science roles (senior level). Hands-on experience with Python ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost). Experience with AWS ML services (SageMaker, Lambda, S3) and MLOps/LLMOps tooling (MLflow, Weights & Biases, DVC). Proven track record transitioning models ...

technical audiences Your Skills & Experience 8+ years in Machine Learning Engineering or similar senior roles Strong Python skills; experience with deep learning frameworks (TensorFlow, PyTorch) Solid understanding of ML algorithms, statistics, and data modelling Experience with large-scale data tools (Hadoop, Spark, Kafka) Cloud & MLOps experience (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 ...

acceptable) Experience with GenAI/LLMs (commercial or serious hands-on experimentation) Strong Python and modern ML tooling (e.g. scikit-learn, XGBoost, TensorFlow or PyTorch) Clear interest in crypto/blockchain (commercial experience a plus, curiosity required) Responsibilities Build, train, and improve ML models on large-scale blockchain datasets Take ...