676 to 700 of 708 Permanent PyTorch Jobs

Job Title: Full-Stack Engineer Location: Nottingham, UK Hybrid Role About the Role: We are seeking a talented and versatile Full-Stack Engineer to join a leading vehicle security systems business. In this role, you will collaborate closely with developers More ❯

to excellence, learning, and delivering great products to our customers in a high-velocity startup. The role We are hiring a Machine Learning engineer. Take an existing open-source Pytorch model, fine tune, productionize them in C++ runtime, and optimize for latency and throughput. Take an open-source model and fine-tune them on our in-house data set as … up with the latest in deep learning research, reading research papers, and familiarity with the latest developments in foundation models and LLMs (Good to have) Comfortable with productionzing a Pytorch model developed in C++, profiling the model for latency, finding bottlenecks, and optimizing them Good understanding of docker and containerization (Good to have) experience with Pytorch and Python3, and comfortable More ❯

and/or CUDA code to achieve performance breakthroughs. Required Skills Understanding of Linux systems, performance analysis tools, and hardware optimisation techniques Experience with distributed training frameworks (Ray, Dask, PyTorch Lightning, etc.) Expertise with Python and/or C/C++ Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.) Passion for profiling, identifying bottlenecks, and delivering efficient solutions. Highly More ❯

Engineer (Python) - Tech for Good | £75m-Funded Startup Location: London, UK - 1 day in office minimum Salary: £60k-£70k + benefits Tech Stack: Python, FastAPI, Docker, AWS, Django, PySpark, PyTorch, Kubernetes About the Company Our client is an ambitious tech-for-good organisation on a mission to reduce carbon emissions across the UK using AI-driven technology. With more than … or Django. Experience developing and scaling RESTful APIs and backend systems. Solid understanding of cloud infrastructure (AWS preferred). Familiarity with containerization (Docker, Kubernetes). Exposure to PySpark or PyTorch is a bonus. Passionate about building sustainable, impactful technology. Why Join Work on meaningful projects with measurable environmental impact. Collaborate with a world-class engineering team. Access rapid career progression More ❯

Engineer (Python) - Tech for Good | £75m-Funded Startup Location: London, UK - 1 day in office minimum Salary: £60k-£70k + benefits Tech Stack: Python, FastAPI, Docker, AWS, Django, PySpark, PyTorch, Kubernetes About the Company Our client is an ambitious tech-for-good organisation on a mission to reduce carbon emissions across the UK using AI-driven technology. With more than … or Django. Experience developing and scaling RESTful APIs and backend systems. Solid understanding of cloud infrastructure (AWS preferred). Familiarity with containerization (Docker, Kubernetes). Exposure to PySpark or PyTorch is a bonus. Passionate about building sustainable, impactful technology. Why Join Work on meaningful projects with measurable environmental impact. Collaborate with a world-class engineering team. Access rapid career progression More ❯

Engineer (Python) - Tech for Good | £75m-Funded Startup Location: London, UK - 1 day in office minimum Salary: £60k-£70k + benefits Tech Stack: Python, FastAPI, Docker, AWS, Django, PySpark, PyTorch, Kubernetes About the Company Our client is an ambitious tech-for-good organisation on a mission to reduce carbon emissions across the UK using AI-driven technology. With more than … or Django. Experience developing and scaling RESTful APIs and backend systems. Solid understanding of cloud infrastructure (AWS preferred). Familiarity with containerization (Docker, Kubernetes). Exposure to PySpark or PyTorch is a bonus. Passionate about building sustainable, impactful technology. Why Join Work on meaningful projects with measurable environmental impact. Collaborate with a world-class engineering team. Access rapid career progression More ❯

Engineer (Python) - Tech for Good | £75m-Funded Startup Location: London, UK - 1 day in office minimum Salary: £60k-£70k + benefits Tech Stack: Python, FastAPI, Docker, AWS, Django, PySpark, PyTorch, Kubernetes About the Company Our client is an ambitious tech-for-good organisation on a mission to reduce carbon emissions across the UK using AI-driven technology. With more than … or Django. Experience developing and scaling RESTful APIs and backend systems. Solid understanding of cloud infrastructure (AWS preferred). Familiarity with containerization (Docker, Kubernetes). Exposure to PySpark or PyTorch is a bonus. Passionate about building sustainable, impactful technology. Why Join Work on meaningful projects with measurable environmental impact. Collaborate with a world-class engineering team. Access rapid career progression More ❯

Engineer (Python) - Tech for Good | £75m-Funded Startup Location: London, UK - 1 day in office minimum Salary: £60k-£70k + benefits Tech Stack: Python, FastAPI, Docker, AWS, Django, PySpark, PyTorch, Kubernetes About the Company Our client is an ambitious tech-for-good organisation on a mission to reduce carbon emissions across the UK using AI-driven technology. With more than … or Django. Experience developing and scaling RESTful APIs and backend systems. Solid understanding of cloud infrastructure (AWS preferred). Familiarity with containerization (Docker, Kubernetes). Exposure to PySpark or PyTorch is a bonus. Passionate about building sustainable, impactful technology. Why Join Work on meaningful projects with measurable environmental impact. Collaborate with a world-class engineering team. Access rapid career progression More ❯

preferably 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 … UK 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 ❯

preferably 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 … UK 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 ❯

preferably 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 … UK 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 ❯

preferably 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 … UK 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 ❯

ll also: Build high-performance data pipelines for multimodal datasets (3D, video, sensor). Optimize distributed training and processing across Spark, Databricks, and Kubernetes. Work with researchers to productionize PyTorch models and streamline ML workflows. Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte … Dask). Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy pipelines. Background in deep learning (PyTorch) and 3D/sensor data (LIDAR, meshes, radiance fields). Open-source contributions or frontend/UI experience. More ❯

ll also: Build high-performance data pipelines for multimodal datasets (3D, video, sensor). Optimize distributed training and processing across Spark, Databricks, and Kubernetes. Work with researchers to productionize PyTorch models and streamline ML workflows. Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte … Dask). Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy pipelines. Background in deep learning (PyTorch) and 3D/sensor data (LIDAR, meshes, radiance fields). Open-source contributions or frontend/UI experience. More ❯

ll also: Build high-performance data pipelines for multimodal datasets (3D, video, sensor). Optimize distributed training and processing across Spark, Databricks, and Kubernetes. Work with researchers to productionize PyTorch models and streamline ML workflows. Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte … Dask). Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy pipelines. Background in deep learning (PyTorch) and 3D/sensor data (LIDAR, meshes, radiance fields). Open-source contributions or frontend/UI experience. More ❯

ll also: Build high-performance data pipelines for multimodal datasets (3D, video, sensor). Optimize distributed training and processing across Spark, Databricks, and Kubernetes. Work with researchers to productionize PyTorch models and streamline ML workflows. Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte … Dask). Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy pipelines. Background in deep learning (PyTorch) and 3D/sensor data (LIDAR, meshes, radiance fields). Open-source contributions or frontend/UI experience. More ❯

ll also: Build high-performance data pipelines for multimodal datasets (3D, video, sensor). Optimize distributed training and processing across Spark, Databricks, and Kubernetes. Work with researchers to productionize PyTorch models and streamline ML workflows. Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills and experience with distributed systems (Ray, Spark, Flyte … Dask). Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod). Familiar with dataset versioning and experiment tracking (DVC, MLflow). Bonus Points Experience in simulation, robotics, or autonomy pipelines. Background in deep learning (PyTorch) and 3D/sensor data (LIDAR, meshes, radiance fields). Open-source contributions or frontend/UI experience. More ❯

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) Collaborate with algorithm … 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 in medical imaging More ❯

AI Engineer - Remote - £65,000 - £75,000 My client, a Microsoft partner and consultancy are looking for an AI Engineer to join their expanding AI specialist consultancy team. The ideal candidate will have a portfolio of recent projects in AI More ❯

AI Engineer - Remote - £65,000 - £75,000 My client, a Microsoft partner and consultancy are looking for an AI Engineer to join their expanding AI specialist consultancy team. The ideal candidate will have a portfolio of recent projects in AI More ❯

AI Engineer - Remote - £65,000 - £75,000 My client, a Microsoft partner and consultancy are looking for an AI Engineer to join their expanding AI specialist consultancy team. The ideal candidate will have a portfolio of recent projects in AI More ❯

AI Engineer - Remote - £65,000 - £75,000 My client, a Microsoft partner and consultancy are looking for an AI Engineer to join their expanding AI specialist consultancy team. The ideal candidate will have a portfolio of recent projects in AI More ❯

AI Engineer - Remote - £65,000 - £75,000 My client, a Microsoft partner and consultancy are looking for an AI Engineer to join their expanding AI specialist consultancy team. The ideal candidate will have a portfolio of recent projects in AI More ❯

Our GCN (Guidance, Control, and Navigation) team are delivering algorithms across the full life cycle of our products, from concept creation through to in-service support. In this role, you will be working on algorithms that are key to achieve More ❯

in Python and C++ for prototype systems and research programmes. Designing and implementing intuitive graphical interfaces to support real-time data processing and visualisation. Incorporating machine-learning models, including PyTorch, into applications for testing and evaluation. Developing software for Linux-based platforms such as Ubuntu, Raspbian or Yocto. Working closely with hardware, electronics and embedded specialists to integrate software into … physical demonstrators. Supporting customer demonstrations, trial environments and evaluation activities. Requirements for the role: Strong coding skills in Python and C++ Familiarity with machine-learning frameworks (PyTorch or similar) Experience building GUIs (e.g. PyQt, Tkinter) and/or full-stack interfaces Understanding of real-time data handling, multithreaded systems and performance-driven code Comfortable working within Linux and Windows environments More ❯