1 to 25 of 43 Permanent PyTorch Jobs in the South East

language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in More ❯

language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured More ❯

functional environment supporting system software, tool development, maintenance, and evolution for ML SDKs tailored for Qualcomm processors on Windows and Android OS. They collaborate with neural network frameworks like PyTorch and TensorFlow, extend neural net engines for emerging DNNs, and validate performance and accuracy through analysis and testing. Required Skills: 2+ years experience with Python and C++ 2+ years experience … with ML frameworks like PyTorch or TensorFlow 2+ years experience in ML development, deployment, and applications Preferred Qualifications: Master's or PhD in Engineering, Computer Science, Physics, or related fields 4+ years Systems Engineering or related experience 2+ years experience with CV, NLP, and LLM architectures Knowledge of large-scale software architectural patterns Experience with MLOps, automation tools, containerization (Docker More ❯

products. Key Responsibilities: Model Development, Implementation and Deployment: Develop and implement state-of-the-art models for computer vision problems including object detection, key-point estimation, segmentation; using Python, PyTorch, Ignite, OpenCV, AWS Evaluate model performance Export models to ONNX and deploy and integrate them into our C++ environment using TensorRT Optimise existing models for improved accuracy, efficiency, and scalability … to problems Technical skills: Proficiency in Python Proficiency with version control (Git) Familiarity with containerisation (Docker) Familiarity with data processing tools (Pandas, NumPy) Experience using machine learning frameworks like PyTorch or TensorFlow Familiarity with cloud platforms and their ML services Benefits: MOST IMPORTANT: Your career Mentorship from senior machine learning engineers Access to cutting-edge tools, technologies, and computing resources More ❯

as Python, R, C, C++, or Java, and their associated security considerations. • Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. • Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle (SDLC) methodologies. • Strong understanding of More ❯

Excellent understanding of modern programming languages such as Ruby, Python, Perl, and Java developing ML models and automation scripts. Experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, and Keras. Understanding of algorithms and techniques for supervised and unsupervised learning. Experience with tools for model monitoring, logging, and performance evaluation, such as MLflow or Prometheus. Strong More ❯

pipelines and big data engineering to productionizing classical ML and LLMs, you'll be at the core of AI infrastructure. Key Requirements: Expert in Python, ML/AI frameworks (PyTorch, TensorFlow, Hugging Face) Proven MLOps, big data, and backend/API development experience Deep understanding of NLP and LLMs Proficient with cloud platforms (AWS/GCP/Azure), Airflow, DBT More ❯

Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯

ideally 5+ people) Demonstrated success in writing and winning technical research proposals (especially within Defence or public sector R&D environments) Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) Deep experience in one or more of the following: Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) NLP and information extraction (transformer-based models desirable) Semantic reasoning, ontology development, or More ❯

Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You'll be skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills Ability to … Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills Ability to diagnose and troubleshoot More ❯

learning, deep learning and AI, particularly in LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in Python, PyTorch and/or Tensorflow, and popular data science libraries, as well as development skills with Docker, Linux, GitHub/Gitlab, GPUs, and cloud services. Exposure to knowledge graphs and graph More ❯

Science, or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise in one or more of the following areas: Multi-modal data fusion or time series analysis Uncertainty quantification or probabilistic modelling Active learning, explainable AI, or More ❯

Science, or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise in one or more of the following areas: Multi-modal data fusion or time series analysis Uncertainty quantification or probabilistic modelling Active learning, explainable AI, or More ❯

innovative improvements. Qualifications: Proven experience as an MLOps engineer or similar role with a focus on 3D applications Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.) Expertise in 3D reconstruction and rendering Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker) Excellent problem-solving skills and ability to work cross-functionally in More ❯

we're looking for: PhD (or equivalent experience) in a relevant discipline Deep knowledge of machine learning and statistical signal processing Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, and scikit-learn Experience working with time-series, sensor, or RF data Track record of delivering innovative solutions in complex technical domains Please note: Due to the nature of More ❯

enough" solutions under time pressure—while continuously refining and improving the systems over time. Essential • 2:1 degree in computer science or relevant engineering discipline• Python/C C, PyTorch, Numpy, Pandas, Tensorflow, Computer Vision, OpenCV, JavaScript, HTML• Solution orientated with an ability to think outside the box Desirable experience • Hands-on experience designing and implementing control mechanisms for production More ❯

over time. Essential 2:1 degree in computer science or relevant engineering discipline 5+ year Software Engineering lead experience, including system architect, mentoring, and code reviews Python/C++, PyTorch, Numpy, Pandas, Tensorflow, Computer Vision, OpenCV, JavaScript, HTML Hands-on experience designing and implementing control mechanisms for production line automation Solution orientated with an ability to think outside the box More ❯

over time. Essential 2:1 degree in computer science or relevant engineering discipline 5+ year Software Engineering lead experience, including system architect, mentoring, and code reviews Python/C++, PyTorch, Numpy, Pandas, Tensorflow, Computer Vision, OpenCV, JavaScript, HTML Hands-on experience designing and implementing control mechanisms for production line automation Solution orientated with an ability to think outside the box More ❯

4+ years post-PhD experience in AI/ML research. Proven success leading R&D teams and securing funding. Strong Python programming skills and experience with ML frameworks (TensorFlow, PyTorch). Expertise in NLP, knowledge graphs, and/or graph machine learning. Desirable: experience with tools like PyTorch-Geometric, Neo4j, SQL/Cypher, or semantic reasoning. Role: AI Knowledge & Semantics More ❯

a relevant discipline Strong background in AI/ML and/or statistical signal processing applied to time-series or sequential data Proficiency in Python with experience using TensorFlow, PyTorch, scikit-learn, or similar ML frameworks Experience leading R&D projects and mentoring early-career researchers Ability to work independently or within collaborative team Reference: AMC/DRI/RS2 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 ❯

PhD experience applying AI/ML and/or statistical signal processing to sequential or time-series data Strong Python development skills with experience in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Ability to lead and deliver research programmes independently and in teams Desirable Experience (one or more of the following): RF communications or electronic warfare (EW) Radar or acoustic More ❯

LLMs in real-world or defence-related contexts Graph-structured data and graph algorithms Designing and utilising relational or graph databases Desirable Experience: Experience with graph ML libraries (e.g., PyTorch-Geometric, PyKeen) or KG tools (e.g., Neo4j) Familiarity with query languages such as SQL or Cypher Understanding of semantic reasoning, ontology design, or knowledge representation Why Apply? Work on high 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 ❯

systems in environments with resource constraints or within safety-critical industries. Advanced proficiency in Python and C++ programming languages. Hands-on experience with leading machine learning frameworks like TensorFlow, PyTorch, or similar tools. Strong background in embedded systems and experience integrating computer vision algorithms into hardware platforms. In-depth knowledge of various sensors, including cameras, LIDAR, and RADAR, and their More ❯