1 to 25 of 35 PyTorch Jobs in Central London

async programming, concurrency, multithreading) Expertise in RESTful API design, OpenAPI/Swagger documentation and API lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile ...

including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time‐series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine‐tuning techniques Familiarity with distributed computing frameworks (eg Spark) Knowledge of graph neural ...

experience in computer vision, deep learning, or a related AI field. Strong proficiency in Python. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or similar. Practical experience developing, testing, and deploying computer vision models in production environments. Solid technical understanding of convolutional and transformer-based architectures, such ...

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 ...

data, especially large-scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem-solving skills ...

optimisation Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking for 4-6 years' experience within ...

Agentic AI systems LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks RAG pipelines and vector databases AI agents and multi-agent orchestration Python, PyTorch, TensorFlow, Scikit-learn Cloud AI platforms such as AWS, Azure, or GCP Production deployment, MLOps, and scalable AI infrastructure API integration and workflow automation Bonus Points ...

pipelines. Experience with Redis, Celery, RabbitMQ, or Kafka. Familiarity with microservices architecture. Knowledge of AI/ML libraries such as Pandas, NumPy, TensorFlow, or PyTorch is a plus. Qualificat ...

Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral), Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading or influencing technical teams Nice to have: Experience in consulting/client-facing roles ...

with time-series, sensor & geospatial data 🔹 Develop real-world AI systems 🔹 Influence product and technical direction from day one Looking for experience with: ✔ Python ✔ PyTorch/TensorFlow/Scikit-learn ✔ Production ML systems ✔ AWS/GCP/Azure Bonus points for MLOps, signal processing, maritime or offshore energy experience. ...

real-world integration What we're looking for: ✦ Full ML lifecycle experience — from development through to monitoring in prod ✦ Python + TensorFlow or PyTorch ✦ Kubeflow, TFX or similar training frameworks ✦ Model serving experience — Triton, TorchServe, TF Serving ✦ Real-time streaming and high-volume data processing ✦ Strong grasp of recommendation systems ...

advanced academic work) Experience with AI testing, assurance, or evaluation tools strongly preferred Strong Python skills and familiarity with modern ML frameworks (e.g. PyTorch, TensorFlow) Cloud experience (AWS, Azure, or GCP) including deployment and scaling of AI systems Familiarity with Responsible AI frameworks (EU AI Act, NIST AI RMF) Hands ...

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 ...

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 ...

understanding of system design: orchestration, memory, deployment, monitoring – Exposure to tools such as LangGraph, ReAct, CoT — or building similar systems from scratch – Familiar with PyTorch/TensorFlow, RAG architectures, vector databases, modern cloud infra – Experience in startup or consulting environments is a plus – Comfortable working autonomously in fast-moving, sometimes ...

networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline: CI/CD for models, offline/online evaluation, safety and guardrails The ability to influence at exec level ...

initiatives in sports, media, streaming, or real-time data environments Deep understanding of sports data and analytics Advanced Python skills with frameworks such as PyTorch or TensorFlow Proven experience in productionising ML systems at scale Strong knowledge of streaming architectures and low-latency systems Technical leadership and mentoring experience Ability ...

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 ...

teams on a shared ML platform Exposure to regulated or high-reliability production environments Tech Stack (Current & Expected Evolution) Languages: Python (core) ML & Data: PyTorch/similar frameworks, experiment tracking, structured datasets Pipelines & Orchestration: Workflow schedulers for batch and near-real-time processing Deployment: Containers, model serving frameworks, infrastructure ...

edge ML – classical and modern methods Hands-on experience optimising models for constrained hardware: quantisation, pruning, distillation Solid Python and deep learning framework experience (PyTorch or similar) Track record of building and shipping AI systems, not just publishing Genuine interest in defence and security as a mission area Applied mindset ...

push the boundaries of what AI can actually do. Experience required: Strong hands-on experience with Reinforcement Learning (RL) Python and modern ML frameworks ( PyTorch, JAX, TensorFlow ) Experience working with time-series or sensor data Ability to turn real-world problems into practical ML solutions Comfortable taking models from research ...

leading conferences or journals is a strong plus Deep expertise across one or more computer vision or spatial AI research areas Strong Python and PyTorch skills, with the ability to write production-quality code Able to work independently, define technical direction and communicate findings clearly What ...

with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance of your models ...

twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview ...

deep learning and modern foundation model architectures Experience with probabilistic modelling techniques such as Bayesian methods, Gaussian Processes, or variational inference Expertise in PyTorch, JAX, or similar frameworks Experience training large models on distributed infrastructure Strong software engineering and systems design capabilities Nice to Have Background in computational biology, drug ...