176 to 200 of 222 Permanent TensorFlow Jobs

architecture for machine learning. The successful candidate will bridge research and commercial deployment, focusing on performance, reliability, and maintainability. Key qualifications include expertise in TensorFlow and Python, experience in API development, and familiarity with MLOps practices. Joining means working on cutting-edge ML solutions and collaborating with experts across ...

Longitudinal patient datasets Proven ability to design and run rigorous experiments Experience deploying models into production environments Strong programming skills (Python, PyTorch/TensorFlow, etc.) Preferred/Differentiators Experience with genomics or multimodal biomedical data Track record of publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, Nature, Science ...

machine learning , including model development or AI-powered applications Experience with firmware, microcontrollers, Raspberry Pi, or embedded systems Use of lightweight ML frameworks (e.g. TensorFlow Lite) on devices Personal projects, side projects, or self-driven development work Candidates who have worked in small teams or on self-led technical ...

/CD pipelines and release processes Strong expertise in Swift and native iOS development Experience with on-device ML frameworks (e.g. Core ML, TensorFlow Lite, ONNX Runtime) Model conversion and optimisation (e.g. PyTorch → mobile formats) SDK development and distribution Benefits include: Equity share options Employee discount platform Cycle ...

manage the end-to-end lifecycle of machine learning models, including development, training, deployment, monitoring, and continuous improvement. Productionise ML models built with PyTorch, TensorFlow, or Scikit-learn, ensuring reliability, scalability, and security. Implement model versioning and experiment tracking using MLflow, along with controlled releases, rollback strategies, and continuous … Jobs. Automate infrastructure provisioning, environment management, and deployment using Terraform, ARM templates, or Ansible. Essential Technical Skills: Programming: Python, SQL, PySpark, Bash ML Frameworks: TensorFlow, PyTorch, Scikit-learn MLOps & Model Management: MLflow, Model versioning, CI/CD Cloud & Big Data: Databricks, Databricks APIs, MCP, Blob Storage Data Engineering ...

improvement. Key Skills & Experience Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost. Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow ...

regulated environment with sensitive data. You’ll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What … Research, prototype, and deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you’ll bring ...

you. What You’ll Do Own end-to-end ML model lifecycles from training to deployment to monitoring Productionise models built in PyTorch, TensorFlow, or Scikit‐learn Use MLflow for experiment tracking, model versioning, deployment, and release workflows Build scalable data & ML pipelines in Databricks (Delta, DLT, Jobs) Design … Work closely with engineering teams to deliver real-world ML systems across multiple sectors. Tech Stack You’ll Work With Python, SQL, PySpark PyTorch, TensorFlow, Scikit‐learn MLflow (core focus), Databricks, Azure IaC: Terraform, ARM, Ansible Git, Azure DevOps, Jenkins What We’re Looking For ✔️ 3+ years ...

Senior Data Scientist Hybrid - 1/2 days a week in Guildford Up to £80,000 About the Role Our client is a specialist technology and analytics consultancy delivering advanced data science solutions into complex ...

Architecting the ML Solver Platform : Define modular architecture for data preprocessing, model execution, and post-processing. Establish clear API contracts between Python/TensorFlow and C# services. Design, develop, and implement advanced machine learning algorithms and models, focusing on pattern recognition and neural network applications Productionizing ML Workflows : Convert … improving algorithms, and collaborating with cross-functional teams to address engineering challenges and deliver optimized solutions. Required Skills & Experience ML Frameworks : Expert in TensorFlow (TF2/Keras), experience with ONNX Runtime for inference. Programming : Advanced Python for ML; strong understanding of packaging, type checking, and performance profiling. Architecture : Proven ...

Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle … this vacancy only. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance ...

Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow … hearing from you. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance ...

Socure is seeking a Senior Data Scientist in the United Kingdom to enhance identity verification and fraud risk management. This role involves building scalable data pipelines, leveraging advanced AI techniques, and collaborating cross-functionally. Candidates ...

them. AI Platforms: Deep knowledge of AI accelerators (NVIDIA GPUs, AMD Instinct ), including different cooling technologies and how to integrate them. Familiarity with frameworks (TensorFlow, PyTorch, CUDA, ROCM), as well as optimized HPC-AI workflows. HPC Software: Familiarity with MPI, job schedulers (e.g. Slurm), containerization, AI frameworks (TensorFlow ...

them. AI Platforms: Deep knowledge of AI accelerators (NVIDIA GPUs, AMD Instinct ), including different cooling technologies and how to integrate them. Familiarity with frameworks (TensorFlow, PyTorch, CUDA, ROCM), as well as optimized HPC-AI workflows. HPC Software: Familiarity with MPI, job schedulers (e.g. Slurm), containerization, AI frameworks (TensorFlow ...

them. AI Platforms: Deep knowledge of AI accelerators (NVIDIA GPUs, AMD Instinct ), including different cooling technologies and how to integrate them. Familiarity with frameworks (TensorFlow, PyTorch, CUDA, ROCM), as well as optimized HPC-AI workflows. HPC Software: Familiarity with MPI, job schedulers (e.g. Slurm), containerization, AI frameworks (TensorFlow ...

them. AI Platforms: Deep knowledge of AI accelerators (NVIDIA GPUs, AMD Instinct ), including different cooling technologies and how to integrate them. Familiarity with frameworks (TensorFlow, PyTorch, CUDA, ROCM), as well as optimized HPC-AI workflows. HPC Software: Familiarity with MPI, job schedulers (e.g. Slurm), containerization, AI frameworks (TensorFlow ...

them. AI Platforms: Deep knowledge of AI accelerators (NVIDIA GPUs, AMD Instinct ), including different cooling technologies and how to integrate them. Familiarity with frameworks (TensorFlow, PyTorch, CUDA, ROCM), as well as optimized HPC-AI workflows. HPC Software: Familiarity with MPI, job schedulers (e.g. Slurm), containerization, AI frameworks (TensorFlow ...

them. AI Platforms: Deep knowledge of AI accelerators (NVIDIA GPUs, AMD Instinct ), including different cooling technologies and how to integrate them. Familiarity with frameworks (TensorFlow, PyTorch, CUDA, ROCM), as well as optimized HPC-AI workflows. HPC Software: Familiarity with MPI, job schedulers (e.g. Slurm), containerization, AI frameworks (TensorFlow ...

them. AI Platforms: Deep knowledge of AI accelerators (NVIDIA GPUs, AMD Instinct ), including different cooling technologies and how to integrate them. Familiarity with frameworks (TensorFlow, PyTorch, CUDA, ROCM), as well as optimized HPC-AI workflows. HPC Software: Familiarity with MPI, job schedulers (e.g. Slurm), containerization, AI frameworks (TensorFlow ...

them. AI Platforms: Deep knowledge of AI accelerators (NVIDIA GPUs, AMD Instinct ), including different cooling technologies and how to integrate them. Familiarity with frameworks (TensorFlow, PyTorch, CUDA, ROCM), as well as optimized HPC-AI workflows. HPC Software: Familiarity with MPI, job schedulers (e.g. Slurm), containerization, AI frameworks (TensorFlow ...

them. AI Platforms: Deep knowledge of AI accelerators (NVIDIA GPUs, AMD Instinct ), including different cooling technologies and how to integrate them. Familiarity with frameworks (TensorFlow, PyTorch, CUDA, ROCM), as well as optimized HPC-AI workflows. HPC Software: Familiarity with MPI, job schedulers (e.g. Slurm), containerization, AI frameworks (TensorFlow ...

them. AI Platforms: Deep knowledge of AI accelerators (NVIDIA GPUs, AMD Instinct ), including different cooling technologies and how to integrate them. Familiarity with frameworks (TensorFlow, PyTorch, CUDA, ROCM), as well as optimized HPC-AI workflows. HPC Software: Familiarity with MPI, job schedulers (e.g. Slurm), containerization, AI frameworks (TensorFlow ...

them. AI Platforms: Deep knowledge of AI accelerators (NVIDIA GPUs, AMD Instinct ), including different cooling technologies and how to integrate them. Familiarity with frameworks (TensorFlow, PyTorch, CUDA, ROCM), as well as optimized HPC-AI workflows. HPC Software: Familiarity with MPI, job schedulers (e.g. Slurm), containerization, AI frameworks (TensorFlow ...

them. AI Platforms: Deep knowledge of AI accelerators (NVIDIA GPUs, AMD Instinct ), including different cooling technologies and how to integrate them. Familiarity with frameworks (TensorFlow, PyTorch, CUDA, ROCM), as well as optimized HPC-AI workflows. HPC Software: Familiarity with MPI, job schedulers (e.g. Slurm), containerization, AI frameworks (TensorFlow ...