1 to 25 of 46 PyTorch Jobs in London

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 ...

with emerging machine learning technologies and best practices Skills and Experience • Strong programming skills in Python • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn • Experience working with SQL and large datasets • Familiarity with data pipelines, feature engineering, and model optimisation • Understanding of MLOps practices, model deployment ...

products Strong backend (Node.js, Python/Flask, FastAPI) and frontend (React, Next.js, Vue) fundamentals ML/data science proficiency: Python, SQL, pandas, scikit-learn, PyTorch/TensorFlow Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Proven ability to build data-secure, privacy-compliant infrastructure Product-minded ...

building or evaluating Generative AI models Experience in program/project management and team leadership Strong programming skills in Python and deep learning frameworks ( PyTorch , TensorFlow) Demonstrable knowledge of Responsible AI issues, trends, frameworks, and best practices Working knowledge of emerging AI regulatory and legal frameworks across the globe Excellent ...

Science, Mathematics, Physics, or a related field. ● Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, PyTorch, and more. ● 3–5+ years of experience in data science or applied ML/DL, ideally within product development. ● Deep expertise in ML/ ...

learning solutions for personalizing recommendations. Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus. You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale ...

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 ...

data scientist (or similar role). Expert proficiency of Python and experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.). Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models, etc.). Comfortable designing and creating neural network ...

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 ...

deliver features Skills & Experience: Strong Python and SQL skills Familiarity with Azure or AWS Some exposure to ML frameworks (e.g. scikit-learn, TensorFlow, or PyTorch) Background in data engineering, analytics engineering, or similar Desirables: ETL/ELT pipeline experience Microsoft Fabric/Data Lake knowledge BI tools (e.g. Power ...

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 ...

industry experience. Strong expertise in deep learning, neural networks, and generative models (diffusion, GANs, transformers). Hands-on experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow). Advanced programming skills in Python. Solid understanding of model training, evaluation, and scaling. Strong problem-solving, analytical, and communication skills. Ability ...

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 ...

regulatory compliance Also Valuable Experience with healthcare data interoperability (FHIR, HL7, DICOM) Exposure to ML model serving, MLOps pipelines, or ML frameworks (TensorFlow, PyTorch) Understanding of GDPR, HIPAA, or UK Data Protection Act compliance Experience with Infrastructure as Code (Terraform, CloudFormation, AWS CDK) Experience designing data ingestion or ETL pipelines ...

Python programming skills • Commercial experience with machine learning • Experience working in Natural Language Processing (NLP) • Experience training ML models using TensorFlow and/or PyTorch • Experience with search databases (e.g. Elasticsearch, OpenSearch) • Experience with cloud platforms (e.g. AWS) • Willingness to work 3 days per week onsite in London Benefits • Stock ...

modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries ...

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 ...

years of professional experience delivering advanced AI/ML solutions in industry or engineering environments. Strong expertise in Python and AI/ML libraries: PyTorch, TensorFlow, Scikit‐Learn, Keras, NumPy, Pandas, JAX, XGBoost, PyTorch Geometric, OpenCV, Transformers, LangChain, Pinecone . Proven hands‐on experience deploying models in production and building ...

business workflow tooling (e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please ...

business workflow tooling (e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please ...

analytics that can be generalized 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 ...

/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 ...