851 to 875 of 1,714 PyTorch Jobs in the UK

Bioinformatics, Computer Science, or a related technical field (MSc with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow, or JAX. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization. Excellent scientific writing and communication skills. Preferred Qualifications Experience in computational biology, genomics, or drug More ❯

experience, that’s a plus, but we’re open to junior candidates eager to learn. Tech Skills: Proficiency in Python , and experience with machine learning frameworks such as TensorFlow , PyTorch , or Scikit-learn . Healthcare Focus: Ideally, you have an understanding of healthcare data or a genuine passion for improving the health industry through AI. Collaborative Spirit: You thrive in More ❯

Essential Currently pursuing (or recently completed) a Master’s in Data Science, Machine Learning, AI, or similar Strong Python skills and experience with a modern ML/AI stack (PyTorch, Transformers, or equivalent) Familiarity with vector databases (FAISS, Pinecone, Qdrant, Chroma, etc.) and RAG concepts Ability to explain complex ideas clearly to non-technical audiences Curiosity about how AI can More ❯

Essential Currently pursuing (or recently completed) a Master’s in Data Science, Machine Learning, AI, or similar Strong Python skills and experience with a modern ML/AI stack (PyTorch, Transformers, or equivalent) Familiarity with vector databases (FAISS, Pinecone, Qdrant, Chroma, etc.) and RAG concepts Ability to explain complex ideas clearly to non-technical audiences Curiosity about how AI can More ❯

Profile Essential skills: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C other languages). Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting More ❯

Profile Essential skills: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C other languages). Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting More ❯

Essential Currently pursuing (or recently completed) a Master’s in Data Science, Machine Learning, AI, or similar Strong Python skills and experience with a modern ML/AI stack (PyTorch, Transformers, or equivalent) Familiarity with vector databases (FAISS, Pinecone, Qdrant, Chroma, etc.) and RAG concepts Ability to explain complex ideas clearly to non-technical audiences Curiosity about how AI can More ❯

Profile Essential skills: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C other languages). Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting More ❯

solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

NLP, Information Retrieval, or Conversational AI Experience with large language models and retrieval-augmented generation Research background in conversational systems or dialogue management Experience with modern deep learning frameworks (PyTorch, TensorFlow) Excellent written and verbal communication skills PREFERRED QUALIFICATIONS Knowledge of multi-agent systems and tool-use frameworks Experience with e-commerce or shopping domain applications Publications at top venues More ❯

shaping them to meet product needs. Experience deploying ML models in the Cloud. Prior experience with AWS and related services. Experience with databases (Postgres/MySQL). ML framework: Pytorch/Tensorflow. Experience with experiment tracking systems. Bonus: Contributions to open-source projects in computer vision. What we offer (compensation & benefits) Competitive salary and equity Private health coverage Pension contribution More ❯

and/or language, incl. local deployment of open models, continued training and fine-tuning cloud and local models Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch) Experience with working collaboratively with other developers, following a flexible/agile/lean approach EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits except for PMI More ❯

architectures, and experiments Experience with ML model monitoring systems Experience with ML training and data pipelines and working with distributed systems Proficiency with modern deep learning libraries and frameworks (PyTorch, Lightning, Ray) Preferred Qualifications Experience owning a product from development through monitoring and incident response Knowledge of the design, manufacturing, AEC, or media & entertainment industries Experience with Autodesk or similar More ❯

regulated industry would be highly preferable. You’ll be highly numeratewith astatistical background, with strong expertise in Python essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. You’ll have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a must, with exposure More ❯

skills, autonomy and a collaborative mindset. Expertise in machine learning applied to proteins, small molecules, and molecular simulations. Strong programming skills in Python and proficiency with ML frameworks (e.g., PyTorch, JAX, TensorFlow). Hands-on experience with scientific computing libraries (e.g., RDKit, OpenMM) and molecular representations (e.g., SMILES, molecular graphs, 3D structures). Ability to bridge AI research with practical More ❯

as Python or C++). Knowledge of linear algebra, calculus and statistics equivalent to at least first-year university coursework. Experience exploring, analysing and visualising data. Experience using Jax, PyTorch, NumPy, Pandas or similar ML/scientific libraries. In addition, the following would be an advantage: Experience with advanced recent LLM techniques. Scientific domain knowledge (particularly biology, physics, or chemistry More ❯

into scalable solutions Key Skills Required: LLM Experience : Production experience with GPT, Claude, LLaMA, including fine-tuning, prompt engineering, and deployment Python Proficiency : Strong skills with ML frameworks (TensorFlow, PyTorch) and LLM tools (Hugging Face, LangChain, OpenAI APIs) Vector Understanding : Solid knowledge of embeddings, vector databases (Pinecone, Weaviate, FAISS), and RAG pipelines NLP Fundamentals : Text preprocessing, language modelling, and semantic More ❯

and Graph Transformers. Experience in building graph-based recommendation systems is a plus. You have 5+ years of programming experience in Python and have development experience with toolkits like PyTorch or Tensorflow and can deploy models with clean APIs. You are equally capable as a software engineer as you are in formulating novel research ideas and your code proves it. More ❯

user testing or co-design methods, in arts or health settings Experience with Image and/or audio-based AI development and familiar with libraries such as: SciPy, TensorFlow, PyTorch, Hugging Face Experience with Image and/or audio-based AI development Familiarity with research projects productivity timelines Knowledge of the peer review process for research projects and journal articles More ❯

statistics, with software engineering skills, understanding of MLOps practices and experience in managing data science projects. Proficiency in handling large datasets and using tools such as Apache Spark, TensorFlow, PyTorch, Azure. Experience with Generative AI technologies such as GPT-3 and other LLMs and MLOps tools such as MLflow. Advanced Python skills and knowledge of machine learning frameworks. Proven track More ❯

more of: deep learning, reinforcement learning, non-convex optimisation, approximate inference, NLP, or Bayesian methods Strong programming skills, ideally in Python, with experience using tools like NumPy, Pandas, JAX, PyTorch or TensorFlow A strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR) or competitive performance in ML challenges such as Kaggle or similar platforms The ability to independently More ❯

BI (semantic data modelling and DAX skills). Experience in Data Lake technologies (DataBricks) and/or Dataiku. Experience with Data Science and AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of machine learning algorithms, statistical modelling, and AI-driven analytics. Data analysis, management, and visualisation expertise. Proactively manages conflicts within their workstack, clearly communicating any delays More ❯

4+ years managing technical teams (ML engineers, data scientists, or similar) Expert knowledge of ML fundamentals: supervised/unsupervised learning, time series, causal inference Experience with modern ML frameworks (PyTorch, TensorFlow, scikit-learn, CatBoost) Growth & Product Experience Experience with growth analytics, attribution modeling, or marketing effectiveness Understanding of user acquisition funnels and retention optimization Comfortable translating business requirements into technical More ❯

Profile Essential skills: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C other languages). Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting More ❯

and business audiences. Strong discovery and pain point identification skills, adept at uncovering customer needs Proficiency in coding, preferably with Python Experience with common data science libraries, such as PyTorch, TensorFlow, and scikit-learn Familiarity with distributed computing frameworks, including Spark, Ray, and Dask. Comfortable working in Linux environments, with hands-on experience in system navigation and troubleshooting Understanding of More ❯