126 to 150 of 278 PyTorch Jobs in the UK

practices Skills & Experience * Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from ...

reinforcement learning and/or large language models Experience in chip design and applied AI research Familiarity with deep learning frameworks such as TensorFlow, PyTorch or JAX A track record of securing research funding and building successful collaborations If this sounds interesting and you'd like to learn more, click ...

Machine Learning, Computer Science or a closely related discipline Strong software development experience using Python Hands-on experience with Machine Learning frameworks such as PyTorch or TensorFlow Experience working with Large Language Models (LLMs), Knowledge Graphs, Graph Machine Learning or Natural Language Processing Experience developing AI prototypes, proof-of-concept ...

practices Skills & Experience * Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.)* Experience with RAG and LLM-based solutions* Solid understanding of AI architectures and data pipelines* Knowledge of security, compliance, and governance principles from ...

design, or applied AI research. Commercial or research experience implementing machine learning algorithms. Strong programming skills in Python; C++ experience is advantageous. Experience with PyTorch, TensorFlow, JAX, or similar deep learning frameworks. Why Apply? Join a world-class AI research team working on cutting-edge machine learning technologies. Play ...

Overview AI/ML Engineers build, evaluate, and deploy machine‐learning systems at scale. The day‐to‐day work combines data preprocessing, model training (PyTorch, TensorFlow), evaluation against business or research metrics, and production deployment (FastAPI, Triton, Ray) with monitoring. The role increasingly overlaps with MLOps (model deployment, monitoring, retraining ...

Bachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques. Strong communication and collaboration skills, with the ability ...

machine learning, from model development, deployment and serving to monitoring and maintenance. Proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative ...

Infrastructure Engineer/Model Deployment Engineer/AI Integration Engineer/Python/Large Language Models/LLM/LangChain/LangGraph/PyTorch/ONNX/ONNX Runtime/NumPy/pandas/Machine Learning/Artificial Intelligence/GPU Optimisation/Rust/ort/Model Inference/ ...

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 ...

best practices. Experience working within Agile/Scrum delivery frameworks utilising JIRA/Confluence. Exposure to AI/ML frameworks such as TensorFlow or PyTorch and practical experience deploying models into production environments. Previous involvement with transaction monitoring systems (e.g., Actimize), sanction screening tools (e.g., Fircosoft), communication surveillance or market ...

/ML systems experience: fine‐tuning models, building inference pipelines, optimisation for latency/cost, evaluation of model performance; comfortable with TensorFlow, PyTorch, Triton and productionising ML. Technical depth and breadth: T‐shaped expertise in at least one area (ML infrastructure, backend systems, performance optimisation) with broad understanding across software ...

including experience addressing the challenges of simulation-to-real-world transfer. Strong programming skills in Python and experience with machine learning frameworks such as PyTorch and scientific computing libraries such as SciPy. Experience working with scalable experimentation environments and infrastructure such as distributed computing, Ray, Kubernetes, Docker, or cloud platforms ...

research, and bring relevant advances from the literature into the product. What you’ll need: A deep working knowledge of transformer architectures. Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning ...

developing solutions with Large Language Models. Hands-on experience building applied ML models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Desirable skills and experience: Experience designing evaluation frameworks for generative systems (e.g., LLM-as-a-judge, task-specific metrics). Experience with vector databases ...

model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems and understand ...

infrastructure engineering experience, with at least 2 years in an ML or AI-adjacent role Strong Python skills and familiarity with major ML frameworks (PyTorch or JAX); comfortable reading and modifying model code Hands-on experience building and operating ML pipelines in production: data pipelines, training orchestration, evaluation, and serving ...

/Scrum delivery frameworks utilising JIRA/Confluence for project tracking/documentation purposes. Exposure to AI/ML frameworks such as TensorFlow or PyTorch along with practical experience deploying models into production environments; understanding model lifecycle management/monitoring processes. Previous involvement with transaction monitoring systems (e.g., Actimize), sanction ...

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 ...

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 ...

research firm, building ML models that power products and drive decision-making at scale. Build, train, and deploy machine learning models using Python, TensorFlow, PyTorch Work on supervised, unsupervised, and reinforcement learning problems Clean and process large datasets to extract insights and train algorithms Perform feature engineering to improve model ...

task learning (MTL), ranking, Content AI stacks, Agentic AI etc is highly desirable. Technical Stack: Mastery of Python and deep learning frameworks (such as PyTorch, PyTorch Lightning, or TensorFlow) alongside familiarity with data versioning and experiment tracking tools. Next-generation retrieval pipelines, multi-stage ranking systems and Content AI stacks. ...

Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership & Outcomes: Proven experience leading technical teams, managing ...

Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (eg, TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modelling, numerical algorithms, and geospatial analytics. Leadership & Outcomes: Proven experience leading technical teams, managing ...

Background Experience in one or more of the following areas would be particularly valuable: Large language models. Reinforcement learning. Deep-learning optimisation. Generative models. PyTorch, TensorFlow or JAX. Scalable system architecture and deployment. AI applications within semiconductor or chip design. Applied or fundamental AI research. Technical publications or open-source ...