25 of 25 Permanent PyTorch Jobs in the City of London

experience with various data science and machine learning libraries. Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit‐learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others. Experience with cloud‐based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI). ...

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 ...

quantitative field or equivalent hands on experience. Strong Python skills and familiarity with data science and data engineering libraries (Pandas, NumPy, Scikit learn; PyTorch/TensorFlow a plus). Curiosity and literacy around modern AI/LLM tooling — prompt engineering, vector databases, document extraction, or agent frameworks. Experience working with ...

that: Demonstrable experience shipping AI or ML systems to a live production environment Solid Python across the core stack: Pandas, NumPy, Scikit-learn, and PyTorch or TensorFlow Real hands-on experience with LLMs — fine-tuning, prompt engineering, agentic orchestration A working understanding of MLOps: you don't just build models ...

Minimum 1+ year of commercial experience in machine learning or data science Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost Exposure to AWS services (e.g. S3, Lambda, SageMaker) Understanding of core ML concepts: model evaluation, validation, and experimentation Familiarity with MLOps ...

services, healthcare). Track record of thought leadership (publications, patents, open source, or industry impact). Technical Excellence Expert Python and modern ML frameworks (PyTorch, TensorFlow). Strong experience with Generative AI tooling (e.g. LangChain, LangGraph or similar). Deep understanding of LLMs, prompt engineering, RAG, vector databases, evaluation ...

industry experience Core Skills Solid understanding of algorithms, data structures, and computational complexity Proficiency in Python with clean, maintainable coding practices Familiarity with PyTorch and common scientific Python libraries Machine Learning Expertise Solid understanding of ML fundamentals and modern deep learning Experience training, evaluating, and iterating on models Infrastructure Familiarity ...

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 ...

Computer Science, Mathematics or related field Strong computer vision expertise and experience fine-tuning state-of-the-art models Deep learning experience (e.g. PyTorch , CUDA, model optimisation for training and inference) Strong MLOps and engineering mindset (CI/CD, automated deployment, monitoring) Solid understanding of data engineering, data quality ...

about machine learning and eager to grow: Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch). Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ML lifecycle tools (MLflow, Kubeflow, Azure ML Pipelines). ...

ICLR. Hands-on experience applying deep learning models to complex, ideally temporal or financial, datasets. Expertise in Python and modern ML frameworks (TensorFlow, PyTorch, JAX, etc.). Prior experience in a commercial or industry setting post-PhD, ideally in a similarly data-driven domain. Why Apply Compensation and total rewards ...

experiences. What the Company Is Looking For Hands-On AI/ML Expertise: Experience building and deploying machine learning models using frameworks such as PyTorch, TensorFlow, or scikit-learn. LLM Experience: Proven experience working with large language models (e.g. GPT, Claude, Gemini) in production environments, including prompt engineering, evaluation ...

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 ...

Proven record of publications in CVPR, ICCV, ECCV, or comparable conferences. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. 1-3 years industry experience. What We Offer Competitive salary and equity package. Access to high-performance computing infrastructure. Opportunities for publication, collaboration, and attending top-tier ...

applications ✅ What We’re Looking For • 2+ years of experience in ML, AI, recommendation systems, or related fields • Strong Python skills with frameworks like PyTorch • Experience working with large-scale AI models and datasets • Ability to translate technical insights into business impact • Bachelor’s degree in CS/Engineering ...

/ML engineering or applied research Experience training, fine-tuning, or deploying LLMs in production Strong Python and familiarity with modern ML tooling (PyTorch, data pipelines, evaluation frameworks) Track record of turning research work into production systems Compensation & Benefits £200K - £300K base Health coverage Flexible vacation Daily meals and office ...

experience with: Edge/IoT computing Infrastructure management (e.g. Salt) Monitoring tools (e.g. Grafana) Video processing/streaming (e.g. GStreamer) ML model integration (e.g. PyTorch) Why Join? Competitive salary + regular reviews Equity in a fast-growing startup Real ownership and impact on product direction A world-class team ...

/PhD in Mathematics, Physics, Computer Science, or a related field Strong hands-on experience building LLM-based systems with modern ML tooling (PyTorch, Ray, JAX) Experience designing agentic systems (planning, memory, tool use, multi-step reasoning) Strong understanding of transformers and foundation model behavior Comfortable owning whatever needs doing ...

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 ...

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 ...

Mathematics, Physics, Computer Science, or a related field Strong hands-on experience building, training, and scaling foundation models with modern ML tooling (PyTorch, Ray, JAX) Strong background in graph neural networks and transformer architectures Demonstrated ability to turn research ideas into robust, scalable implementations Comfortable owning whatever needs doing, from ...

Data/Machine Learning Ops Engineer Location: Erskine, Scotland (Hybrid 2/3 days per week in the office) Candidates must be eligible for clearance. DXC Technology (NYSE: DXC) is a leading independent, end-to ...

audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection. Build and maintain training and inference pipelines using PyTorch, and related ML frameworks Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows. Run structured experiments, evaluate model performance, and iterate based … Strong foundation in machine learning, deep learning, and optimisation Hands-on experience training, evaluating, and deploying ML models in real-world systems Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem Experience with audio or speech models and frameworks. Experience building and maintaining ...

built for you. What You’ll Do Own end-to-end ML model lifecycles from training to deployment to monitoring Productionise models built in PyTorch, TensorFlow, or Scikit‐learn Use MLflow for experiment tracking, model versioning, deployment, and release workflows Build scalable data & ML pipelines in Databricks (Delta, DLT, Jobs … Ansible Work closely with engineering teams to deliver real-world ML systems across multiple sectors. Tech Stack You’ll Work With Python, SQL, PySpark PyTorch, TensorFlow, Scikit‐learn MLflow (core focus), Databricks, Azure IaC: Terraform, ARM, Ansible Git, Azure DevOps, Jenkins What We’re Looking For ✔️ 3+ years ...

🔥 Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready ...