426 to 450 of 523 TensorFlow Jobs in the UK

field, or equivalent practical experience. 4 years of experience building, scaling, and debugging machine learning models using deep learning frameworks (e.g., JAX, PyTorch, or TensorFlow). Experience in one core area: Reinforcement Learning (RL), Post-Training (SFT/RLHF/RLAIF), Agentic Tool-Use, or Inference-Time Search. Preferred ...

standard and extended capabilities.Required Qualifications:• University Degree in Data Science, Compliance Management, IT or a related discipline. Understanding of machine learning, AI frameworks (e.g., TensorFlow, PyTorch), and data pipelines.• 10+ years in Digital Transformation Leadership, which could include SAP-enabled Data Management, Regulatory Platform Design, Programme Management.• Experience ...

cross‐functional teams. Preferred Qualifications: Hands-on integration or algorithm development with airborne sensing systems. Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks. * Experience deploying perception software on SWaP-constrained platforms. Familiarity with validating perception systems during flight test ...

have experience across all the areas below. Relevant knowledge, practical experience, or exposure could include: Machine learning inference frameworks such as LiteRT, TensorFlow Lite, ONNX Runtime, or similar technologies GPU programming or compute technologies such as Vulkan, OpenCL, TOSA, or compute kernels Machine learning runtimes, compilers, drivers, or backend ...

have experience across all the areas below. Relevant knowledge, practical experience, or exposure could include: Machine learning inference frameworks such as LiteRT, TensorFlow Lite, ONNX Runtime, or similar technologies GPU programming or compute technologies such as Vulkan, OpenCL, TOSA, or compute kernels Machine learning runtimes, compilers, drivers, or backend ...

areas: 3D perception, point cloud processing, or sensor fusion (e.g. LiDAR, depth cameras, IMU) Computer vision using classical or learning-based methods (OpenCV, PyTorch, TensorFlow) Machine learning or deep learning, particularly applied to spatial or structured data Robotics development, including familiarity with ROS or ROS2 Across all backgrounds ...

learning, biosignal processing, sensor fusion, and analyzing real-world, multimodal time-series data. Deep proficiency in Python, practical experience with tools like PyTorch or TensorFlow, and scientific computing libraries (NumPy, SciPy, pandas, matplotlib). A strong understanding of the physiology underlying the signals. You need to know what ...

quantisation, graph optimisation, operator fusionandprecision reduction Experience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO. Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs between latency, memory, model size ...

gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph ...

quantisation, graph optimisation, operator fusionandprecision reductionExperience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO.Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs between latency, memory, model size and accuracy.A ...

gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph ...

gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph ...

provide the technical justification for critical architectural decisions in high-risk environments. You bring expert-level experience in operationalising models within frameworks like TensorFlow or PyTorch to solve complex, high-impact business challenges. You define the engineering standards and architecture patterns for agentic systems, ensuring teams build ...

every day, and a CTO close to the work. Key Responsibilities Build and train ML models in Python usingPyTorch,sklearnand TensorFlow, and own the data work behind them: sourcing, cleaning, encoding andvectorisation. Take agentic workflows from prototype into secure, production-grade deployment, and support them once they arelive. Design ...

tooling AI teams use day‐to‐day, including experiment tracking, pipeline orchestration, and model serving. Experience with AI frameworks such as PyTorch, TensorFlow, or JAX. Comfortable going below the SaaS layer when the conversation demands it - GPU topology, network fabric, and cluster architecture shouldn’t be unfamiliar territory. Hands ...

Kubernetes and OpenShift AWS: AWS SNS, Comprehend, EC2, Lambdas, RDS, SageMaker and Textract Data: Hadoop, Microsoft SQL Server, Pandas, PowerBI, PostgreSQL, Pytorch, Spark, TensorFlow and Tableau Essential Criteria – Skills and Attributes for Success Experience/Technical: We will assess you against the following Experience and Technical skills during … Proficient in coding for data science using Python. Experience working with commonly used data science libraries and frameworks, e.g. Spacy, scikit-learn, Keras/TensorFlow, PyTorch, LangChain, Huggingface Transformers etc. Demonstrates good coding/engineering practice. Comfortable working in a Linux environment. Experience Proven ability to acquire business/ ...

related ML problems. The role demands a Ph.D. with strong NLP/ML background, publications, and hands-on experience with PyTorch, TensorFlow, and large datasets. 3 days in office, 2 days remote, with a competitive GBP salary and benefits. #J-18808-Ljbffr ...

open weight models with a strong focus on performance and scalability. The role requires hands-on experience with Python and ML frameworks (PyTorch/TensorFlow), production ML pipelines, and GPU optimisation, with emphasis on rigorous evaluation and error analysis. #J-18808-Ljbffr ...

from research to production, including model design, tooling, and infrastructure development. Ideal applicants have a strong ML background, publications, and experience with PyTorch/TensorFlow/JAX, as well as Python/C++. The role offers on-site work in London with visa sponsorship for international candidates. #J ...

deterioration. Candidates should have an MSc or PhD in a relevant field and strong programming skills in Python. Familiarity with frameworks like PyTorch and TensorFlow is essential. The position offers an exciting opportunity to work in healthtech and contribute to impactful technology. #J-18808-Ljbffr ...

adhere to governance standards. This is a hands-on, technical position ideal for those with deep expertise in ML frameworks such as PyTorch and TensorFlow, as well as experience in deploying scalable architectures. #J-18808-Ljbffr ...

data processing. The role requires a strong foundation in AI/ML, a degree in CS or engineering, and hands-on experience with PyTorch, TensorFlow, and scalable pipelines, plus awareness of #J-18808-Ljbffr ...

Familiarity with health data, physiological signals, or medical datasets Strong programming skills in Python or R Experience with probabilistic frameworks such as PyMC, Stan, TensorFlow Probability, or similar Ability to work with noisy or incomplete real-world data Nice to Have Experience with physiological monitoring, biosensors, or wearable devices ...

have experience building and deploying machine learning systems in production You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar You have experience working with large datasets and care about data quality and evaluation You are interested in or have worked with multimodal machine learning ...

systems into production while staying grounded in product impact and real‐world quality. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Ability to lead complex research efforts, to communicate clearly and collaborate ...