21 of 21 Permanent PyTorch Jobs in the City of London

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 ...

model serving, versioning, and lifecycle management Lead documentation, knowledge transfer, and mentoring to upskill internal teams Technical requirements Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Databricks Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience preferred Financial services experience ...

6+ engineers). Strong foundations in OOP, system design, and engineering best practices. Hands-on knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with orchestration/integration frameworks such as LangChain or Semantic Kernel. Solid understanding of ML concepts (supervised/unsupervised learning, transformers ...

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 ...

many of the following areas. Expectations scale by level. Hands-on experience building ML models in Python using libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow. Experience deploying ML workloads on AWS, including services such as SageMaker, Lambda, and S3. Understanding of experiment design, evaluation techniques, and statistical reasoning. ...

reward modelling, RLHF). Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training ...

Bachelor’s degree 2:1 or above in a quantitative subject). Strong Python skills and experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch). Experience with model deployment, monitoring and ML pipelines (e.g. CI/CD, MLOps concepts). A collaborative mindset with strong communication skills and experience ...

technologies Required Skills & Experience MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or similar Strong Python programming skills Experience with PyTorch, TensorFlow, or optimisation libraries (e.g. Gurobi, OR-Tools) Strong technical communication and stakeholder engagement skills Ability to write clean, efficient, maintainable code Interest in explaining and presenting ...

e.g. object detection, image classification, segmentation) Experience building, training and optimising ML models Python (NumPy, Pandas, scikit-learn) and frameworks such as TensorFlow or PyTorch Experience deploying models into production environments (cloud platforms, Docker, CI/CD pipelines) Clearance requirements: Active SC Clearance , or SC Clearable (must have resided ...

forecast key company KPIs, design real-time dashboards, and develop best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with ...

learning, teacher-student learning • Large vision models and optimization for scale Red flags: • Generic “we’ll just improve the model” thinking • Only knowing basic PyTorch without broader ecosystem knowledge • No real-world deployment or scalability experience Team Environment • Data science team: 3 ( • Engineering team: 7 • Highly collaborative, execution-focused culture ...

efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc. ...

experience with production systems Hands-on post-training experience (RLHF, DPO, or similar) and deployed LLMs in production Strong Python and modern ML tooling (PyTorch/JAX, training infrastructure, evaluation pipelines) Track record shipping research from prototype to production impact Comfortable owning work end-to-end: architecture to data pipelines ...

/video generative models — architecture, training, and inference. Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate trade‐offs crisply. Nice-to-Have: Robotics ...

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 ...

real-time robotic systems Understanding of robotics fundamentals and control theory Strong background in computer vision and image processing Experience with OpenCV and PyTorch or TensorFlow Experience building or optimizing real-time systems Strong debugging and performance optimization skills Nice to Have Experience with robot hardware integration Knowledge of motion ...

major OSS). Domain Depth: Hands-on expertise in VLMs , Diffusion/Generative Video , or LLM Pre-training . Frameworks: Mastery of Python and PyTorch or JAX . Systems: Experience with distributed training and complex numerical debugging. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering ...

Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for a Senior Python Engineer, and we’re hoping it’s ...

🔥 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 ...

Learning Scientist Strong experience in research and development of computer vision machine learning models Experience implementing state-of-the-art deep learning models in PyTorch Experience training large models across multiple GPUs and compute nodes Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation Experience with … deep learning for computer vision, ideally including 3D imaging and or self-supervised learning Strong Python and PyTorch skills, with the ability to read and write high-quality training code Experience writing and maintaining production-grade Python code, including optimising training performance Experience working with modern development workflows including pull ...

Scaling: Collaborating with teleops teams to transform human trajectories into robust robotic skills through behavior cloning. High-Performance Engineering: Designing and profiling research-grade PyTorch/JAX code to support large-scale, distributed RL infrastructure. Essential Skills Needed Deep Learning Mastery: 5+ years building and shipping models, with deep hands … solutions. RL Expert: A proven track record of solving complex, real-world problems using Deep Reinforcement Learning. Technical Rigour: Mastery of Python and PyTorch/JAX, including the ability to profile performance and debug complex numerical stability issues. Robotics Foundation: Practical experience with simulators (Isaac Sim/MuJoCo ...