176 to 200 of 311 Remote/Hybrid PyTorch Jobs

Object Detection and LLM analysis implementation Machine Learning & AI Libraries including: Transformers/Hugging Face for working with pre-trained LLMs, finetuning, and inference PyTorch for deep learning model development and training OpenCV for computer vision tasks and image preprocessing in object detection PIL/Pillow for image manipulation ...

project delivery Key Skills: We are interested in the following skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing ...

/ML systems experience: fine‐tuning models, building inference pipelines, optimisation for latency/cost, evaluation of model performance; comfortable with TensorFlow, PyTorch, Triton and productionising ML. Technical depth and breadth: T‐shaped expertise in at least one area (ML infrastructure, backend systems, performance optimisation) with broad understanding across software ...

experience with user-level and performance marketing data.• Proficiency with AWS (SageMaker, Lambda, Step Functions), Snowflake, and modern MLOps tooling.Familiarity with ML frameworks including PyTorch, TensorFlow, scikit-learn, and XGBoost.Experience managing and scaling high-performing data science and ML engineering teams.Working at Tripledot25 days paid holiday in addition to bank ...

Maths.* Strong Python coding experience/knowledge essential. Knowledge of git and CI/CD practices. Demonstrable proficiency with packages such as Pandas, Sklearn; Pytorch or Keras.* Knowledge of SQL and Excel; experience with Databricks would be welcome.**Person specification*** Excellent analytical skills and attention to detail.* Works effectively ...

with user-level and performance marketing data.• Proficiency with AWS (SageMaker, Lambda, Step Functions), Snowflake, and modern MLOps tooling. Familiarity with ML frameworks including PyTorch, TensorFlow, scikit-learn, and XGBoost. Experience managing and scaling high-performing data science and ML engineering teams. Working at Tripledot25 days paid holiday in addition ...

Hands-on LLM/ML systems experience: Production experience with LLMs, fine-tuning, inference pipelines, latency/cost optimization, or evaluation; familiarity with TensorFlow, PyTorch, or Triton; capable of productionizing ML. Technical depth and breadth: T-shaped with deep expertise in at least one area and broad software engineering knowledge. ...

discipline, or equivalent practical experience. Strong Python programming and software‐engineering skills. Experience developing machine‐learning, generative AI or LLM applications. Practical experience with PyTorch, JAX, TensorFlow or a similar framework. Understanding of agentic AI concepts such as tool calling, planning, memory and workflow orchestration. Knowledge of reinforcement learning, preference ...

model prototyping to production deployment, integration, and ongoing monitoring.You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings.You have deployed models into live systems and understand how to make ...

model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems and understand ...

with hands-on experience in probabilistic methods and predictive modelling. Expertise in python, along with proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with the ability to deploy scalable, production-ready models and data pipelines. With at least 1 year industry experience (post Masters ...

systems that deliver measurable impact in production environments Strong foundation in machine learning and deep learning, with hands-on experience using frameworks such as PyTorch and modern architectures (e.g. Transformers, large language models) Experience applying ML in real-world, noisy, and adversarial domains, such as trust & safety, fraud, or abuse ...

.K nowledge of machine learning, software engineering and agentic development best practices .Proficiency with standard deep learning algorithms and model architectures.Experience with Python and PyTorch , or equivalent languages and machine learning frameworks.Experience working with biological sequence and network data, including genomics, transcriptomics, proteomics, gene regulatory networks or related biological datasets.Preferred ...

machine learning, software engineering and agentic development best practices . Proficiency with standard deep learning algorithms and model architectures. Experience with Python and PyTorch , or equivalent languages and machine learning frameworks. Experience working with biological sequence and network data, including genomics, transcriptomics, proteomics, gene regulatory networks or related biological datasets. ...

scaling yourself and leading through others, in an applied research setting Strong programming skills (e.g., Python) and experience with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers, DeepSpeed) Publications at relevant venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD Technical Qualifications Deep understanding of document understanding fundamentals: document ...

leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing ...

leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing ...

pattern recognition, data mining, or artificial intelligence. Core Technical Stack: Advanced proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch . Large-Scale Models: Experience developing ML models at scale, including programmatically querying LLMs, LLM post-training, and running experiments over massive datasets. Scientific Rigor ...

implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer and stakeholder relationships. Supporting and leading ...

implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer and stakeholder relationships. Supporting and leading ...

role Strong programming skills in Python and/or R, with solid SQL Experience with machine learning frameworks such as scikit-learn, TensorFlow or PyTorch Strong grounding in statistics, probability and data modelling Experience with large datasets and cloud-based platforms Familiarity with visualisation tools such as Tableau or Power ...

STAC ecosystem. Hands‐on experience training, evaluating, and debugging ML models across the modern Python stack – deep learning (CNNs, U‐Nets, vision transformers) using PyTorch, and classical methods (gradient boosting, random forests) with scikit‐learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor‐specific ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. Experience ...

prototyping to de ployment, with strong experience in monitoring, iteration, and troubleshooting. Advanced programming skills in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or similar. Solid foundation in stats, experimental design, and working with offline/online evaluations in real-world settings. Experience leading projects and mentoring ...

team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs ...