51 to 75 of 173 PyTorch Jobs in the UK

product teams to productionise models into scalable, high-performance systems Requirements Confident programming skills in Python, with experience using modern ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Good understanding of core machine learning concepts such as linear regression, reinforcement learning and deep learning Industry experience using Large Language Models (LLMs ...

data modelling, with experience handling diverse datasets (tabular, computer vision, point cloud, game data). Proficient with ML frameworks (NumPy, OpenCV, scikit‐learn, PyTorch/PyTorch3D, TensorFlow, Keras). Experience with CI/CD pipelines, version control (GitLab, Perforce), cloud platforms (preferably AWS) and scalable deployment workflows. Outstanding problem‐solving ...

retrieval orchestration. Experience with evaluation datasets, benchmarking, annotation workflows, and advanced programming skills in Python. Familiarity with modern AI/ML frameworks and tooling (PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with large‐scale datasets, distributed data/ML platforms, and production AI systems. Strong understanding of statistical ...

automated workflows using Airflow or similar orchestration tools. Practical familiarity with graph databases and/or graph frameworks (Neo4j, AWS Neptune, GraphFrames, DGL, PyTorch Geometric) and graph algorithms for clustering, link prediction, and community detection is strongly preferred. Solid SQL skills and experience working with large-scale analytical data stores. ...

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 ...

shaping commercial AI offerings and driving business development Demonstrated ability to build and lead high-performing data science teams and communities Desirable: Experience with PyTorch, TensorFlow, and fine-tuning or distillation of LLMs including GPT, Llama and Gemini Experience with vector databases, semantic search and knowledge graphs Active contribution ...

degree in computer science, mathematics, statistics, or other fields related to machine learning. Fluency in Python and at least one deep learning library (e.g. PyTorch, TensorFlow) or mathematical optimization library (e.g. Gurobi, CBC, Google OR tools) Strong technical communication skills, and ability to communicate across multiple functions. Ability to write ...

peers in ML infrastructure, model deployment, distributed compute, GPU optimization, and MLOps architecture. Willingness to learn new parts of the ML tech stack – Python, PyTorch, Docker, Kubernetes, Ray, Weights & Biases, Prefect, BigQuery, Postgres, GCP, CUDA, and model serving frameworks. Fluency in life sciences or drug discovery is a plus. Working ...

Computer Science (or equivalent proven track record). 4 + years working on large‐scale ML codebases. Hands‐on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline chops. ...

technical leadership Deep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructure Hands‐on experience with PyTorch, TensorFlow, or similar ML frameworks Strong understanding of scalable APIs, cloud‐native systems, and modern engineering practices Experience creating Proof of Concepts and evaluating technical ...

MLOps system architecture. Excitement to learn parts of our ML tech stack that you might not already know. Our current ML infrastructure includes: Python, PyTorch, Docker, Kubernetes, Ray, Weights & Biases, Prefect, BigQuery, Postgres, GCP, CUDA, and various model serving frameworks. Fluency in life sciences or drug discovery is a plus ...

cloud resources for data analytics and ensuring seamless integration of data pipelines and analytics platforms. Skilled with cloud-based machine learning toolsets , such as PyTorch or equivalent ML frameworks, to leverage state-of-the-art cloud technologies for advanced analytical modelling." Understanding of CI/CD practices , including ...

inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some ...

Python, C++, or similar Experience with optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience with scalable system design and deployment in research or production environments Exposure to chip design or applied AI research ...

models using user behaviour, sequence data or time-series signals, ideally in real-world product environments You have experience with Machine Learning frameworks (e.g. PyTorch, TensorFlow). You have advanced analysis and critical thinking skills You're collaborative with great communication skills, comfortable presenting to senior stakeholders and pushing back ...

data representations including 2D and 3D geometry Experience with cloud services and architectures (e.g. AWS, Azure) Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace, Ray) Excellent written documentation skills to document code, architectures, and experiments Preferred Qualifications Experience working with distributed systems Knowledge of the design, manufacturing ...

Math, Neuroscience, or another quantitative field. Scientific publications in AI and neuroscience conferences or peer‐reviewed journals. Familiarity with deep learning libraries such as PyTorch, Huggingface, Transformers, Accelerate, and Diffusers. Hands‐on experience in training and fine‐tuning generative models (diffusion models, large language models such as GPTs and LLAMAs ...

/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. ...

/O, profiling and performance optimization Production experience with Kubernetes and SLURM for job orchestration on GPU clusters Proficiency in Python and ML frameworks (PyTorch strongly preferred) Experience with cloud GPU infrastructure; ideally CoreWeave or similar GPU/HPC-focused clouds Ideally Experience with geometric deep learning or neural operators ...

prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda, RDS) Open-source contributions to AI or crypto projects Compensation Salary ...

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 operating system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches ...

edge solutions. This role requires a proven record in delivering impactful ML/AI solutions and deep expertise in Python and modern frameworks like PyTorch and TensorFlow. The ideal candidate possesses strong communication skills and adaptability to thrive in fast-paced environments. Join a company backed by a major bank ...

market leading business with innovation at its core please apply now to be considered Software AI Engineer Remote AI, machine learning, LLM, Python, PyTorch, Azure ...

Strong experience developing machine learning models for time‐series or sensor data. Strong programming skills in Python. Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX. Experience building data pipelines and training workflows. Ability to work with imperfect, noisy, or incomplete datasets. Nice to Have Experience with physiological ...

bring: * Proven experience building and deploying AI/ML models in production * Strong Python skills and experience with modern ML frameworks (e.g. PyTorch, TensorFlow) * Hands-on experience with LLMs, prompt engineering, RAG, or similar approaches * Ability to operate with high autonomy and take ownership of solutions * Strong communication skills with ...