201 to 225 of 465 PyTorch Jobs in the UK

if, and surprise us again, and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. Strong More ❯

Data Science ? Experience as a trainer, instructor, or consultant in a technical field ? Strong communication and presentation skills for diverse learners ? Familiarity with AI tools such as Python, TensorFlow, PyTorch, Generative AI models (ChatGPT, LLMs) is desirable What's On Offer? ? Competitive daily rate: £400 - £500 p/d ? Flexible schedule with remote delivery options ? Opportunity to work with a 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 ❯

you'll bring: Experience in Data Science, or a related field Solid skills in Python and SQL for data manipulation and modelling Familiarity with ML libraries like Scikit-learn, PyTorch or TensorFlow Awareness of cloud platforms (Azure, AWS, or GCP) and data governance practices A strong analytical mindset, team spirit, and eagerness to learn from senior peers To speak in 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 ❯

series or physiological data. Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection). Proficient in Python and ML frameworks such as PyTorch or TensorFlow. Familiarity with FDA regulatory pathways for medical software (e.g., 510(k), De Novo), and standards like IEC 62304 or ISO 13485. Experience with MLOps practices and model versioning More ❯

team. Development of VBA/Python tools to expediate the change management review process. Skills Knowledge and Experience Technical Skills: Proficiency in Python, including ML libraries such as TensorFlow, PyTorch, Scikit-learn, Keras, etc. Expert Level in programming such as VBA, Python, JAVA and other coding tools. Familiarity with data processing, feature engineering, and model evaluation techniques. Soft Skills: Strong 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 ❯

statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create More ❯

series or physiological data. Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection). Proficient in Python and ML frameworks such as PyTorch or TensorFlow. Familiarity with FDA regulatory pathways for medical software (e.g., 510(k), De Novo), and standards like IEC 62304 or ISO 13485. Experience with MLOps practices and model versioning More ❯

or custom tools). Strong understanding of computer architecture fundamentals : memory systems, interconnects, queuing theory, Amdahl's and Gustafson's laws. Familiarity with machine learning workloads and frameworks like PyTorch, TensorFlow, or JAX. Ability to interpret RTL/schematics and discuss micro-architectural trade-offs with hardware engineers. Excellent data visualization and communication skills - capable of distilling millions of simulation More ❯

or custom tools). Strong understanding of computer architecture fundamentals : memory systems, interconnects, queuing theory, Amdahl's and Gustafson's laws. Familiarity with machine learning workloads and frameworks like PyTorch, TensorFlow, or JAX. Ability to interpret RTL/schematics and discuss micro-architectural trade-offs with hardware engineers. Excellent data visualization and communication skills — capable of distilling millions of simulation More ❯

or custom tools). Strong understanding of computer architecture fundamentals : memory systems, interconnects, queuing theory, Amdahl's and Gustafson's laws. Familiarity with machine learning workloads and frameworks like PyTorch, TensorFlow, or JAX. Ability to interpret RTL/schematics and discuss micro-architectural trade-offs with hardware engineers. Excellent data visualization and communication skills — capable of distilling millions of simulation More ❯

Neocloud space. Practical knowledge of AI/ML technologies and their applications, including understanding language models (LLMs), and experience with training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Good understanding of programming/scripting: (e.g., Python, Go) for customizing solutions, creating scripts, or automating tasks. Experience with AI relevant infrastructure, including Networking (InfiniBand and More ❯

and propose optimizations. Essential Proven experience as a Machine Learning Engineer with at least 3 years of professional experience. Strong proficiency in machine learning frameworks such as CatBoost , TensorFlow , PyTorch , or Keras . Experience with image processing , feature extraction , and text preprocessing techniques . Solid understanding of algorithms for tasks such as object detection , image classification , text extraction , and sentiment 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 Nice-to-Haves: Publications in top More ❯

facing product from day one. Youll need to be both a scientist and an engineer: excited by innovation, and pragmatic about delivering impact! Python and modern ML libraries (e.g. PyTorch, TensorFlow, JAX) AWS and cloud infrastructure for scalable training and inference ML ops tooling, model monitoring, and data pipelines Bonus: experience with LLMs & generative AI is a strong plus What More ❯

platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows). Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML: Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms (e.g., Google Vertex AI, AWS Sagemaker). Hands-on work with Generative AI, Large Language Models (LLMs), agent-based frameworks, and prompt engineering. *LI More ❯

state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. More ❯

state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. More ❯

a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud More ❯

business settings. Skills in prompt engineering, RAG, guardrail design, orchestration, and tools like LangGraph or Semantic Kernel. Deep knowledge of ML model development, deployment, and evaluation. Proficiency in Python, PyTorch, TensorFlow, SQL, Spark, and AWS tools like SageMaker and Bedrock. Understanding of scalable data infrastructure and cloud architecture. Location & Relocation: This role is based in Sydney, Australia . We offer More ❯

field. Strong familiarity with Linux and the open-source ecosystem. Proficient experience working with machine learning and large datasets. In-depth understanding of open source machine learning frameworks (e.g., PyTorch, ggml, llama.cpp, vllm). Experience building complex systems on the cloud. Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs. Strong analytical More ❯

Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of More ❯

Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of More ❯