176 to 200 of 203 PyTorch Jobs in the City of London

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient More ❯

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient More ❯

Machine Learning Engineer 18 month project, 6 month rolling contracts. Rate negotiable but upwards of 600 p/d. Looking for people with the following skillset: Python, Pytorch, Tensorflow, Langgraph, Langchain, CrewAI, LlamaIndex etc ML Ops VertexAI Prompt Engineering Apply through this advert or email jack.herbert@oliverbernard.com for more info. More ❯

the AI roadmap and long-term technical direction What You’ll Bring: Solid experience building and deploying ML models in production Strong Python skills and familiarity with frameworks like PyTorch or TensorFlow A pragmatic, product-focused mindset - you care about outcomes, not just models Why Join: Work on a mission-driven product changing how people train Join a collaborative, ambitious More ❯

the AI roadmap and long-term technical direction What You’ll Bring: Solid experience building and deploying ML models in production Strong Python skills and familiarity with frameworks like PyTorch or TensorFlow A pragmatic, product-focused mindset - you care about outcomes, not just models Why Join: Work on a mission-driven product changing how people train Join a collaborative, ambitious More ❯

deployment Skills and Experience 5+ years’ experience in machine learning with a focus on training and inference systems Strong programming expertise in Python and C++ or CUDA Proficiency with PyTorch, TensorFlow or JAX Hands-on experience with GPU acceleration and distributed training (Horovod, NCCL or similar) Background in real-time, low-latency ML pipelines Familiarity with cloud and orchestration technologies More ❯

low-ego engineering culture focused on shipping. What We’re Looking For Deep experience in Applied Machine Learning and Agentic AI systems . Proficiency in modern ML stacks (Python, PyTorch, JAX, Ray, etc.) and production deployment. Proven ability to move fast, ship code, and bridge research with real-world impact. Experience in early-stage or startup environments is a plus. More ❯

low-ego engineering culture focused on shipping. What We’re Looking For Deep experience in Applied Machine Learning and Agentic AI systems . Proficiency in modern ML stacks (Python, PyTorch, JAX, Ray, etc.) and production deployment. Proven ability to move fast, ship code, and bridge research with real-world impact. Experience in early-stage or startup environments is a plus. More ❯

product to ship polished, scalable user interactions Essential Qualifications: Experience with real-time protocols (eg. WebSockets gRPC, MQTT, SSE or similar) Experience with implementing on-device machine learning (eg. PyTorch Mobile, ML Kit, TensorFlow Lite) Strong understanding of Android performance: lifecycle, coroutines, memory, and threading Familiarity with edge-friendly architecture: offline-first, sync queues, reactive flows Comfort working in fast More ❯

product to ship polished, scalable user interactions Essential Qualifications: Experience with real-time protocols (eg. WebSockets gRPC, MQTT, SSE or similar) Experience with implementing on-device machine learning (eg. PyTorch Mobile, ML Kit, TensorFlow Lite) Strong understanding of Android performance: lifecycle, coroutines, memory, and threading Familiarity with edge-friendly architecture: offline-first, sync queues, reactive flows Comfort working in fast More ❯

Apply feature engineering and selection techniques to enhance model performance Build and validate ML models for prediction, classification, clustering, and optimization Use libraries such as Scikit-learn, TensorFlow, and PyTorch for supervised and unsupervised learning Implement NLP, time-series forecasting, and optimization algorithms as needed Collaborate with MLOps teams to deploy production-grade pipelines Communicate insights through dashboards and visualizations … ceremonies and contribute to the enterprise AI roadmap Required Skills Proven experience in data science and machine learning Strong Python skills and familiarity with ML libraries (Scikit-learn, TensorFlow, PyTorch) Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn) Ability to translate complex model outputs into actionable business insights Excellent communication skills with both technical and non-technical audiences More ❯

new features related to model versioning, dataset management, verification workflows, and result/metric aggregations. Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit. Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs. Develop and maintain Infrastructure … code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning More ❯

new features related to model versioning, dataset management, verification workflows, and result/metric aggregations. Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit. Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs. Develop and maintain Infrastructure … code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning More ❯

and putts into a stable, production-ready app. Refine computer vision - real-time object detection and tracking using Core ML/Vision (or similar frameworks such as OpenCV or PyTorch). Balance accuracy and performance - deliver fast, thermally efficient gameplay on iPhone. Collaborate directly with our CEO (a former developer) and Chief Product Officer, to make key architectural decisions. Own More ❯

and putts into a stable, production-ready app. Refine computer vision - real-time object detection and tracking using Core ML/Vision (or similar frameworks such as OpenCV or PyTorch). Balance accuracy and performance - deliver fast, thermally efficient gameplay on iPhone. Collaborate directly with our CEO (a former developer) and Chief Product Officer, to make key architectural decisions. Own More ❯

join a scaling startup in the AI and Healthcare technology sector Salary up to £130k + Equity Paddington based (4-5 days per week in-office) Tech environment: Python | PyTorch | TensorFlow | scikit-learn | NLP | LLMs | Data Engineering If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan … Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale solutions. Partner with senior leadership to define the AI roadmap and long-term strategy. Optimise deployed models for performance, scalability, and reliability … in real-world environments. AI SCIENTIST - ESSENTIAL SKILLS: Proven experience designing, training, and deploying machine learning models in production. Strong proficiency in Python and key ML frameworks ( PyTorch , TensorFlow , scikit-learn ). Deep understanding of machine learning algorithms and statistical modelling. Ability to work independently while collaborating effectively within technical teams. Excellent analytical , problem-solving , and communication skills. NICE TO More ❯

join a scaling startup in the AI and Healthcare technology sector Salary up to £130k + Equity Paddington based (4–5 days per week in-office) Tech environment: Python | PyTorch | TensorFlow | scikit-learn | NLP | LLMs | Data Engineering If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan … Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale solutions. Partner with senior leadership to define the AI roadmap and long-term strategy. Optimise deployed models for performance, scalability, and reliability … in real-world environments. AI SCIENTIST – ESSENTIAL SKILLS: Proven experience designing, training, and deploying machine learning models in production. Strong proficiency in Python and key ML frameworks ( PyTorch , TensorFlow , scikit-learn ). Deep understanding of machine learning algorithms and statistical modelling. Ability to work independently while collaborating effectively within technical teams. Excellent analytical , problem-solving , and communication skills. NICE TO More ❯

Data Scientist - data and analytics +6 months +Fully remote working +Inside IR35 +£450 - £525 a day We're looking for an experienced Data Scientist to play a key role in turning complex data into clear, actionable insights. You'll More ❯

Machine Learning Specialist (Computer Vision) Profile: Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for Machine Learning Specialists, and we’re hoping it’s More ❯

Machine Learning Specialist (Computer Vision) Profile: Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for Machine Learning Specialists, and we’re hoping it’s 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 ❯

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 ❯

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 ❯