551 to 575 of 579 TensorFlow Jobs

Machine Learning Engineer (LLM) Transform Language Models into Real-World Applications We're building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to More ❯

with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks More ❯

with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks More ❯

with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks More ❯

with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks More ❯

Transform Language Models into Real-World Applications We're building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world More ❯

Transform Language Models into Real-World Applications We're building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world More ❯

We’re Looking For Ph.D. or Master’s degree in Computer Science, Machine Learning, Information or Biomedical Engineering (or similar). Strong experience with deep learning frameworks (PyTorch/TensorFlow) and Python development. Proven background in on-device ML (TinyML) using frameworks such as TensorFlow Lite, ExecuTorch, or TVM. Solid understanding of model optimisation for constrained hardware environments. More ❯

We’re Looking For Ph.D. or Master’s degree in Computer Science, Machine Learning, Information or Biomedical Engineering (or similar). Strong experience with deep learning frameworks (PyTorch/TensorFlow) and Python development. Proven background in on-device ML (TinyML) using frameworks such as TensorFlow Lite, ExecuTorch, or TVM. Solid understanding of model optimisation for constrained hardware environments. More ❯

requirements (once or twice per month). Responsibilities: Train, evaluate, and optimize CNN-based AI models for medical imaging applications Perform hyperparameter tuning and iterative refinement of models using TensorFlow and PyTorch Support retraining efforts as new data is acquired from hospital partners Integrate AI modules into embedded systems (Windows or Linux-based with Intel CPU and small GPU … and post-processing using Python Participate in design reviews, documentation, and regulatory discussions as needed Requirements: 5+ years of experience in AI model development, training, and deployment Proficient with TensorFlow and PyTorch Strong Python programming skills and a solid foundation in software engineering Experience integrating AI models into embedded environments Solid understanding of CNNs and image processing techniques Background More ❯

Machine Learning Engineer Location: West London | On-site An innovative deep-tech company developing next-generation computing hardware is looking for a Machine Learning Engineer to join their growing team in West London. This is a unique opportunity to work More ❯

Machine Learning Engineer Location: West London | On-site An innovative deep-tech company developing next-generation computing hardware is looking for a Machine Learning Engineer to join their growing team in West London. This is a unique opportunity to work More ❯

Machine Learning Engineer Location: West London | On-site An innovative deep-tech company developing next-generation computing hardware is looking for a Machine Learning Engineer to join their growing team in West London. This is a unique opportunity to work More ❯

mentoring a small team of contributors and partners. RESPONSIBILITIES Developing and optimizing models for radar signal processing and real-time inference Deploying models on the edge using C++ and TensorFlow Lite Collaborating with firmware and software teams to integrate ML into hardware devices Establishing best practices and guiding future team growth YOUR SKILLS AND EXPERIENCE Strong background in radar … or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and drives meaningful change in healthcare, this is More ❯

mentoring a small team of contributors and partners. RESPONSIBILITIES Developing and optimizing models for radar signal processing and real-time inference Deploying models on the edge using C++ and TensorFlow Lite Collaborating with firmware and software teams to integrate ML into hardware devices Establishing best practices and guiding future team growth YOUR SKILLS AND EXPERIENCE Strong background in radar … or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and drives meaningful change in healthcare, this is More ❯

mentoring a small team of contributors and partners. RESPONSIBILITIES Developing and optimizing models for radar signal processing and real-time inference Deploying models on the edge using C++ and TensorFlow Lite Collaborating with firmware and software teams to integrate ML into hardware devices Establishing best practices and guiding future team growth YOUR SKILLS AND EXPERIENCE Strong background in radar … or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and drives meaningful change in healthcare, this is More ❯

mentoring a small team of contributors and partners. RESPONSIBILITIES Developing and optimizing models for radar signal processing and real-time inference Deploying models on the edge using C++ and TensorFlow Lite Collaborating with firmware and software teams to integrate ML into hardware devices Establishing best practices and guiding future team growth YOUR SKILLS AND EXPERIENCE Strong background in radar … or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and drives meaningful change in healthcare, this is More ❯

mentoring a small team of contributors and partners. RESPONSIBILITIES Developing and optimizing models for radar signal processing and real-time inference Deploying models on the edge using C++ and TensorFlow Lite Collaborating with firmware and software teams to integrate ML into hardware devices Establishing best practices and guiding future team growth YOUR SKILLS AND EXPERIENCE Strong background in radar … or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and drives meaningful change in healthcare, this is More ❯

mentoring a small team of contributors and partners. RESPONSIBILITIES Developing and optimizing models for radar signal processing and real-time inference Deploying models on the edge using C++ and TensorFlow Lite Collaborating with firmware and software teams to integrate ML into hardware devices Establishing best practices and guiding future team growth YOUR SKILLS AND EXPERIENCE Strong background in radar … or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and drives meaningful change in healthcare, this is More ❯

mentoring a small team of contributors and partners. RESPONSIBILITIES Developing and optimizing models for radar signal processing and real-time inference Deploying models on the edge using C++ and TensorFlow Lite Collaborating with firmware and software teams to integrate ML into hardware devices Establishing best practices and guiding future team growth YOUR SKILLS AND EXPERIENCE Strong background in radar … or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and drives meaningful change in healthcare, this is More ❯

mentoring a small team of contributors and partners. RESPONSIBILITIES Developing and optimizing models for radar signal processing and real-time inference Deploying models on the edge using C++ and TensorFlow Lite Collaborating with firmware and software teams to integrate ML into hardware devices Establishing best practices and guiding future team growth YOUR SKILLS AND EXPERIENCE Strong background in radar … or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and drives meaningful change in healthcare, this is More ❯

mentoring a small team of contributors and partners. RESPONSIBILITIES Developing and optimizing models for radar signal processing and real-time inference Deploying models on the edge using C++ and TensorFlow Lite Collaborating with firmware and software teams to integrate ML into hardware devices Establishing best practices and guiding future team growth YOUR SKILLS AND EXPERIENCE Strong background in radar … or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and drives meaningful change in healthcare, this is More ❯

mentoring a small team of contributors and partners. RESPONSIBILITIES Developing and optimizing models for radar signal processing and real-time inference Deploying models on the edge using C++ and TensorFlow Lite Collaborating with firmware and software teams to integrate ML into hardware devices Establishing best practices and guiding future team growth YOUR SKILLS AND EXPERIENCE Strong background in radar … or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and drives meaningful change in healthcare, this is More ❯

mentoring a small team of contributors and partners. RESPONSIBILITIES Developing and optimizing models for radar signal processing and real-time inference Deploying models on the edge using C++ and TensorFlow Lite Collaborating with firmware and software teams to integrate ML into hardware devices Establishing best practices and guiding future team growth YOUR SKILLS AND EXPERIENCE Strong background in radar … or digital signal processing (DSP) Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite) Proficiency with Python, PyTorch, TensorFlow Experience in firmware or device-level integration A startup mindset - ownership mentality, curiosity, and hands-on problem-solving If you're excited about building AI that improves lives and drives meaningful change in healthcare, this is More ❯

Field Services Engineer | Camera Systems & Applied AI | Applied AI. Im working with a technology company developing intelligent camera and sensing systems that capture, analyse, and respond to live events in real time. This role is ideal for someone who enjoys More ❯