451 to 475 of 955 TensorFlow Jobs in England

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 ❯

Skills & Experience: Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence More ❯

Skills & Experience: Strong background in machine learning, data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence More ❯

Implement and optimise ML solutions using Python, open-source tools, and infrastructure. Collaborate with cross-functional teams to enhance product features based on client feedback. Work with Python, PyTorch, TensorFlow, Kubernetes, Docker, and cloud platforms. Ideal Candidates Have 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder More ❯

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 ❯

communication skills, with the ability to present complex ideas clearly Preferred: Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) A strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL) Why Join Us Work on groundbreaking AI research with real-world applications and a strong More ❯

communication skills, with the ability to present complex ideas clearly Preferred: Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) A strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL) Why Join Us Work on groundbreaking AI research with real-world applications and a strong More ❯

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 ❯

supervised, unsupervised, semi-supervised, and reinforcement learning techniques. Hands-on experience with LLMs (e.g., OpenAI, Bard), including prompt engineering and fine-tuning. Proficient in Python and popular ML libraries (TensorFlow, PyTorch). Experience deploying models via MLOps pipelines (Docker, Kubernetes, AWS SageMaker, etc.). Familiarity with model versioning, retraining strategies, and CI/CD practices for ML. Strong decision More ❯

supervised, unsupervised, semi-supervised, and reinforcement learning techniques. Hands-on experience with LLMs (e.g., OpenAI, Bard), including prompt engineering and fine-tuning. Proficient in Python and popular ML libraries (TensorFlow, PyTorch). Experience deploying models via MLOps pipelines (Docker, Kubernetes, AWS SageMaker, etc.). Familiarity with model versioning, retraining strategies, and CI/CD practices for ML. Strong decision More ❯

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 ❯

best practices, including model versioning, CI/CD pipelines, containerization, and cloud deployment for large-scale models. Solid programming skills in Python and familiarity with machine learning frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and MLOps tools (e.g., MLflow, Kubeflow). Strong analytical and problem-solving skills, with an aptitude for translating complex theoretical research into practical applications. Day More ❯

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 : o Multi-modal data fusion or time series analysis o Uncertainty quantification or probabilistic modelling o Active learning More ❯

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

ML papers to solve practical challenges using retail image datasets Benchmark multiple approaches through rigorous experimental pipelines Build scalable inference pipelines using frameworks such as PyTorch, TensorRT, ONNX, and TensorFlow Lite (cloud and edge) Collaborate with engineers and product stakeholders to integrate models into end-to-end systems Perform error analysis and iterate on models continuously in production environments More ❯

processing to sequential data. Experience in domains such as RF, EW, radar, acoustic processing, sensor fusion, autonomy, or space awareness. Proficiency in Python software development. Experience with frameworks like TensorFlow, PyTorch, scikit-learn. Legal right to work in the UK. Publication record in relevant journals or conferences is advantageous. Interest in working in a secure environment is desirable but More ❯

Prior experience in anomaly detection applied to areas such as QA, gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Problem-Solving Skills: Excellent More ❯

Graduate or postgraduate qualification in relevant disciplines (engineering, mathematics, physics, statistics) Experience in finance, insurance, or e-commerce data science Experience deploying in cloud environments Knowledge of neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, Pandas Experience with API development, SQL, software engineering, CI/CD Diversity and Flexible Working At Hiscox, we value our people. We hire the best for More ❯

models. Hands-on experience with MLOps and AIOps infrastructure and tooling. Proficient in problem-solving and analytical reasoning. Exceptional communication and collaboration skills. Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX. Experience with Large Language Models, including RAG and fine-tuning techniques. Familiarity with compute infrastructure necessary to support operating AI and ML technology. For more More ❯

Pipeline, Big Data, AWS, or Cloud Services • Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen • Experience with Deep Learning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing, or Optimization Amazon is an equal opportunities employer. We believe passionately that employing a diverse More ❯

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 ❯

heavy or AI environments. Proficiency in Python, R, C/C++, or Java, and awareness of security risks associated with these languages. Familiarity with key ML frameworks such as TensorFlow, PyTorch, JAX, and scikit-learn. Strong grasp of DevOps/CI/CD workflows and secure SDLC methodologies. Experience securing cloud-native environments, including containerized services (e.g., Kubernetes) and More ❯

s degree (or equivalent) in Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes). Solid grounding in computer vision and experience with large-scale data. Bonus: exposure to reinforcement More ❯

PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent technical publications and material contributions to the CV/ML/AI field as More ❯

software architecture, and data modeling. Experience with tabular data, computer vision, imagery, point clouds, and game datasets. Proficiency with ML libraries like NumPy, OpenCV, scikit-learn, PyTorch/PyTorch3D, TensorFlow, Keras; familiarity with CI/CD, version control (GitLab, Perforce), and cloud platforms (preferably AWS). Benefits include: 22 days holidays + Christmas closure & Bank holidays (increasing with service More ❯