751 to 775 of 794 PyTorch Jobs in England

MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven … Qualifications Minimum 5 years' professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven More ❯

MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven … Qualifications Minimum 5 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven More ❯

MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven … Qualifications Minimum 5 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven More ❯

MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven … Qualifications Minimum 5 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven More ❯

MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven … Qualifications Minimum 5 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven More ❯

MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven … Qualifications Minimum 5 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud-native services. Proven More ❯

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. We believe that innovative ML technology necessitates More ❯

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 ❯

Are you an experienced Computer Vision engineer ready to take the next step in your career? This is an opportunity to lead a high-performing Computer Vision & Robotics team developing real-time image processing and autonomy software for spacecraft and More ❯

Are you an experienced Computer Vision engineer ready to take the next step in your career? This is an opportunity to lead a high-performing Computer Vision & Robotics team developing real-time image processing and autonomy software for spacecraft and More ❯

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 ❯

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 ❯

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 ❯

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 ❯