251 to 275 of 739 PyTorch Jobs in the UK

Python and SQL. Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM) Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build ...

Rust, C++ or Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) Strong written and verbal communication skills to document your work effectively ...

tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches ...

Hard SkillsComprehensive knowledge of latest AI advancements, such as diffusion, flow matching, transformers, and GANs.4+ years of experience in machine learning frameworks (TensorFlow/PyTorch) with a proven history of building ML pipelines in the audio domain. Proficiency in Python, including package development and collaborative coding practices (e.g., open-source ...

pipelines and LLM-based systemsEvaluation methodologies for ML/IR/GenAIAdvanced programming skills in PythonExperience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack)Experience working with Databricks or similar distributed data/ML platformsStrong understanding of experimentation design and statistical analysisPreferred qualificationsPhD in Computer ...

external partners like Google DeepMind. Skills and qualifications EssentialAI/ML Engineering: Deep conceptual and practical understanding of deep learning frameworks (e.g., JAX, PyTorch, TensorFlow), large-scale cloud training or inference infrastructure, and LLM ecosystems. Adversarial ML Mindset: Strong familiarity with AI security threat vectors (prompt injection, model inversion, data ...

senior AI/ML architect to design and deploy generative AI solutions in cloud environments. The role requires hands-on experience with TensorFlow, PyTorch, and Hugging Face, plus strong programming skills in Python, Java, or C++. You will lead end-to-end AI system design, from data pipelines to scalable ...

years Location: Bangalore (Onsite) Must-Haves 5-8 years of experience in AI/ML Strong computer vision background Deep expertise in PyTorch/TensorFlow Production ML deployment experience Strong understanding of CNNs, transformers, detection, segmentation Hands-on experience with diffusion models or GANs Strong Python skills and ML system ...

standards across a small ML team. What they're looking for Proven experience building and operating production ML systems Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps, CI/CD and model lifecycle management Cloud platforms (AWS, GCP or Azure) and containers/Kubernetes Experience with low-latency or real ...

technical solutionsRequirements3+ years of hands-on experience in applied machine learning and deploying production modelsProficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learnExperience with AWS services and Databricks; understanding of ML Ops is highly beneficial Ability to quickly adapt to new tools and independently deliver ...

data diligence, value creation and executionYou have a strong technical background including Python, Cloud environments (AWS, Azure, GCP) and modern Machine Learning libraries (e.g. PyTorch, TensorFlow, Scikit)You have advanced experience in conducting data maturity assessments and developing data strategies that drive business transformation and measurable outcomesYou have a deep ...

data diligence, value creation and executionYou have a strong technical background including Python, Cloud environments (AWS, Azure, GCP) and modern Machine Learning libraries (e.g. PyTorch, TensorFlow, Scikit)You have advanced experience in conducting data maturity assessments and developing data strategies that drive business transformation and measurable outcomesYou have a deep ...

from a leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer: Join a team responsible for investigating ...

evaluation and validation, overfitting and bias/variance trade‐offs, and data quality and feature engineering Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience building and maintaining ML pipelines in production Familiarity with GPU usage and optimisation The ability to debug and improve model performance systematically ...

from a leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer Join a team responsible for investigating ...

evaluation and validation, overfitting and bias/variance trade-offs, and data quality and feature engineering • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building and maintaining ML pipelines in production • Familiarity with GPU usage and optimisation • The ability to debug and improve model performance systematically ...

Recommendation, or Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading ...

from a leading university, AAB at A-Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit‐Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer Join a team responsible for investigating ...

platform engineering or HPC background, but titles matter less than experience. We're particularly interested in people with experience in: Large-scale distributed training. PyTorch and modern deep learning frameworks. Kubernetes, Slurm or GPU orchestration platforms. AWS and specialist GPU cloud providers. High-performance computing and distributed systems. Training optimisation ...

.Theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems. Familiarity with typical quantitative research toolchains including Numpy, Polars, Scikitlearn, Pytorch, etc. DevOps: version control, testing frameworks, release processes, build systems. Excellent communication, problem-solving, and analytical skills. Preferred ExperienceExtremely strong computer science or engineering background ...

related quantitative field. Expert proficiency in GCP’s ML/AI tooling, its data ecosystem, and Python with core ML/AI libraries (PyTorch, XGBoost, TensorFlow). Expert proficiency with SQL development, with Google dialects being advantageous. Proficiency with an API web framework (FastAPI, Django, Flask). Robust CI/ ...

tools or similar domains. Strong publication record in top‐tier AI conferences (e.g., NeurIPS, ICML, ICLR). Expertise in deep learning frameworks such as PyTorch or TensorFlow. Proficiency in Python and experience with large‐scale data processing. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud). Excellent communication skills ...

latency, throughput, scalability and cost. Direct development experience with FFmpeg or GStreamer. Experience with GPU-accelerated video or AI technologies such as CUDA, PyTorch, TensorRT, Triton Inference Server or NVIDIA DeepStream. #J-18808-Ljbffr ...

Finance, securities lending, or inventory management. Familiarity with revenue and yield management strategies. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of optimization libraries and techniques (e.g., Gurobi, CPLEX, linear/nonlinear programming). Track record of publishing research or presenting at industry conferences. ...

ability to work both independently and as part of a team. Strong programming skills in Python and experience with machine learning libraries such as PyTorch, vLLM or similar are a prerequisiteYou will have, or be working towards gaining, a Masters or PhD degree in NLP or a related quantitative subject ...