101 to 125 of 195 PyTorch Jobs in the UK excluding London

entity linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML framework (e.g. PyTorch, TensorFlow) Clear communicator, able to present work to technical and non-technical stakeholders Nice to have: Familiarity with tools like PyTorch-Geometric, PyKeen, or Neo4j Experience with SQL, Cypher, or More ❯

across the AI workflowfrom exploration and model development to deploying generative AI and machine learning pipelines. The ideal candidate will have strong Python skills, experience with ML frameworks (e.g., PyTorch, TensorFlow), and a background in training or fine-tuning models including LLMs. Familiarity with technologies like RAG, vector databases (e.g., Qdrant), and MLOps tools (e.g., DVC) is highly valued. A … continuous learning within the team. Skills & Experience: You will have the following skills or proven experience: Strong programming skills in Python and experience with AI/ML libraries (e.g. PyTorch, TensorFlow, HuggingFace Transformers) Experience training and/or fine-tuning machine learning models, ideally including LLMs or other deep learning architectures. Able to work collaboratively with Data Scientists, engineers and More ❯

record leading technical teams and securing research funding Strong background in areas like NLP, computer vision, graph ML, or signal processing Skilled in Python and familiar with frameworks like PyTorch or TensorFlow Experience with engineering assurance and proposal writing (e.g. Dstl, EPSRC) This is a unique opportunity to influence high-impact innovation in a multi-disciplinary, research-driven environment. Reference More ❯

and maintained Writing AI-related documentation related to workflows and architecture Experience required: A proven track record of using Python, Java, C++ or similar Excellent knowledge of ML frameworks (PyTorch preferable) Strong cloud platform experience (Azure, AWS or GCP) Extensive experience working with data processing tools Experience with Microsoft Copilot and OpenAI, with a strong understanding of Deep Learning and More ❯

and maintained Writing AI-related documentation related to workflows and architecture Experience required: A proven track record of using Python, Java, C++ or similar Excellent knowledge of ML frameworks (PyTorch preferable) Strong cloud platform experience (Azure, AWS or GCP) Extensive experience working with data processing tools Experience with Microsoft Copilot and OpenAI, with a strong understanding of Deep Learning and More ❯

and maintained Writing AI-related documentation related to workflows and architecture Experience required: A proven track record of using Python, Java, C++ or similar Excellent knowledge of ML frameworks (PyTorch preferable) Strong cloud platform experience (Azure, AWS or GCP) Extensive experience working with data processing tools Experience with Microsoft Copilot and OpenAI, with a strong understanding of Deep Learning and More ❯

equivalent experience) in a relevant AI/ML discipline 4+ years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Deep expertise in one or more of: NLP, LLMs, graph machine learning, semantic AI, or knowledge graphs Proven track record of winning and delivering R&D projects Please More ❯

and relevant experience when handling structured and non-structured data Machine Learning - Experience of industrialising and scaling machine learning models. Experience with machine learning frameworks such as TensorFlow/PyTorch Strong communication skills Nice to have: Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS **Please apply if you have the above skill-set More ❯

equivalent experience) in a relevant AI/ML discipline 4+ years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Deep expertise in one or more of: NLP, LLMs, graph machine learning, semantic AI, or knowledge graphs Proven track record of winning and delivering R&D projects Please More ❯

equivalent experience) in a relevant AI/ML discipline 4+ years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Deep expertise in one or more of: NLP, LLMs, graph machine learning, semantic AI, or knowledge graphs Proven track record of winning and delivering R&D projects Please More ❯

equivalent in a technical discipline (e.g., computer science, chemistry, physics, engineering). Strong background in machine learning, including deep learning and generative models. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Proficiency in Python and C++, with a collaborative mindset. Familiarity with protein structure modeling, co-folding, or related methods; knowledge of organic chemistry is a plus. Why More ❯

up to date with research and innovations in AI, ML, NLP, and generative models. What We’re Looking For: Strong proficiency in Python and experience with ML frameworks (e.g. PyTorch, TensorFlow). Solid understanding of machine learning fundamentals, including supervised/unsupervised learning. Experience with cloud environments – ideally Azure, but AWS or GCP also considered. Familiarity with LLMs, prompt engineering More ❯

research focus (PhD or MSc with equivalent industry experience) Experience working with LLMs, speech technologies (ASR, TTS), or multimodal systems Strong programming skills in Python, with experience in using PyTorch Hands-on experience with training and fine-tuning ML models, including setting up experiments and evaluating results Ability to read, interpret, and implement techniques from recent academic papers into practical More ❯

knowledge of modern machine learning, statistics, and computational modelling Experience leading teams and performing technical assurance across large R&D projects Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, scikit-learn Expertise in one or more of: computer vision, reinforcement learning, NLP/LLMs, knowledge graphs, RF/EO sensor data, autonomy Please note: Due to the nature More ❯

/Semantic Search/Knowledge Reasoning/NLP/Agent Systems/RAG/OWL/SPARQL/Transformers/Deep Learning/AI Assistants/QA Systems/Pytorch/TensorFlow/Graph Reasoning/Multi-Modal AI/Knowledge Engineering/Research to Production If you are interested in this Research Engineer position, please send a CV to More ❯

Your Profile Essential Experience & Skills Proven experience as a Security Architect with direct focus on AI/ML security. Strong knowledge of AI/ML technologies, frameworks (e.g. TensorFlow, PyTorch), and threat landscapes. Background in development or data science is highly advantageous. Expertise in secure development practices and cloud-native architectures. Hands-on experience with threat modelling, adversarial testing, and More ❯

source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding practices, production deployment, and API resilience. Nice to Have: Experience using PostgreSQL for data storage and management. Familiarity More ❯

Machine Learning and Deep Learning concepts, different model types and how to run inference on them. These are principally computer vision models. Experience with Deep Learning frameworks such as PyTorch , TensorFlow, or OpenVino Knowledge of GPU acceleration and optimisation Why Join Us? Be part of a passionate, talented team in a collaborative environment. Work on innovative projects that make a More ❯

Python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. Desirable Skills/Experience Although not essential More ❯

internal policy requirements. What you'll have: Be highly numeratewith astatistical background, with strong expertise in Python is essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial. 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 to Snowflake More ❯

learning or autonomous agents NLP, LLMs, or knowledge graph technologies AI for RF/EW, radar, sonar, or acoustic domains Strong Python skills and familiarity with ML toolkits (e.g. PyTorch, TensorFlow, Scikit-learn) Experience with proposal writing (e.g. Dstl, NS, EPSRC) Prior involvement in engineering assurance, technical review, or QA of R&D outputs Security & Eligibility Due to the sensitive More ❯

python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. Preferred Experience: Experience using PostgreSQL for data More ❯

with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology More ❯

player, self-motivated and independent worker. Strong English writing and verbal communication skills. Preferred Skills Proficiency in Python. Expertise in one of the standard machine learning frameworks, such as PyTorch, JAX, or TensorFlow. Broad knowledge of and practical experience with modern machine learning and optimization techniques. Excellent analytical, numerical, and modeling skills. Broad knowledge of photonics and general physics. Familiarity More ❯

in CS/EE or related research experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobile CPU, GPU, NPU) Experience with distributed More ❯