9 of 9 PyTorch Jobs in Central London

asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering More ❯

and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ? Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ? Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. ? Ability to work cross-functionally with marketing More ❯

reviews, architectural decision-making, and technical debt management Ability to establish coding standards and best practices across teams AI/ML Expertise Strong understanding of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Experience with LLM integration (OpenAI, Anthropic, open-source models) Knowledge of RAG architectures, prompt engineering, and vector databases (Pinecone, Weaviate) Experience with MLOps tools and monitoring model performance More ❯

statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create More ❯

join a scaling startup in the AI and Healthcare technology sector Salary up to £130k + Equity Paddington based (4-5 days per week in-office) Tech environment: Python PyTorch TensorFlow scikit-learn NLP LLMs Data Engineering If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - WHO WE More ❯

Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning libraries like PyTorch, XGBoost and JAX Understanding of crypto or traditional financial markets Strong API design and documentation skills What do you get in return? Up to £250k base (depending on experience More ❯

join a scaling startup in the AI and Healthcare technology sector Salary up to £130k + Equity Paddington based (4-5 days per week in-office) Tech environment: Python | PyTorch | TensorFlow | scikit-learn | NLP | LLMs | Data Engineering If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan … Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale solutions. Partner with senior leadership to define the AI roadmap and long-term strategy. Optimise deployed models for performance, scalability, and reliability … in real-world environments. AI SCIENTIST - ESSENTIAL SKILLS: Proven experience designing, training, and deploying machine learning models in production. Strong proficiency in Python and key ML frameworks ( PyTorch , TensorFlow , scikit-learn ). Deep understanding of machine learning algorithms and statistical modelling. Ability to work independently while collaborating effectively within technical teams. Excellent analytical , problem-solving , and communication skills. NICE TO More ❯

partners to deliver robust, scalable, and impactful solutions. Stay abreast of advances in ML, GenAI, and academic research to infuse innovation. Technologies and tools you will use and own: PyTorch & TensorFlow: for large-scale development and training of deep learning models. Spark/Distributed Systems: for large data processing and model training at scale. A/B Experimentation Platforms: design … Engineering, Statistics, Math, or related. 4+ years of applied Machine Learning experience with end-to-end model lifecycle. High proficiency in Python and at least one major ML framework (PyTorch, TensorFlow). Strong foundation in ML, statistics, ranking algorithms, and online experimentation. Preferred Qualifications: Experience with ranking/recommender systems at scale. Deep understanding of recent LLM and generative AI More ❯

Data Scientist - data and analytics +6 months +Fully remote working +Inside IR35 +£450 - £525 a day We're looking for an experienced Data Scientist to play a key role in turning complex data into clear, actionable insights. You'll More ❯