51 to 73 of 73 PyTorch Jobs in Berkshire

PhD in AI, Machine Learning, Robotics, or related field Proven experience leading AI/ML teams and shipping production solutions Strong in Python , C++ , or Rust , with ML frameworks (PyTorch, TensorFlow, JAX) Background in distributed systems , reinforcement learning , or autonomous agents Collaborative leader who thrives on complex technical challenges What You’ll Do Design and deploy scalable AI-driven systems More ❯

field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high More ❯

000. 1-2 years experience working in AI development environments. Comes from a software development background specialising in Python. Strong skills across the Machine Learning tech stack - PyTorch, LangChain. Good understanding of LLMs. Strong technical background in Data, Development & Cloud – Python/Azure. Excellent collaboration and stakeholder management skills. Benefits : 5% Pension, Bonus, 25 Days Holiday + Bank & Wellbeing, Self More ❯

and commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement More ❯

We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production More ❯

or technical subject, ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement More ❯

or technical subject, ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or Hugging Face Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement More ❯

and client teams to ensure what gets built actually lands well What they’re looking for: • Hands-on LLM experience beyond prototyping/notebooks • Strong Python and experience with PyTorch/Hugging Face/similar tooling • Experience deploying models into production (not just training them) • Familiarity with vector stores and RAG patterns • Comfortable operating in a hybrid environment and speaking More ❯

solutions and conduct performance evaluations of models What we’re looking for 3+ years of industry or research experience Python and SQL proficiency, with experience using ML frameworks e.g PyTorch Experience with Azure cloud Driven to progress within a growing SME What our client are offering £70,000 - £80,000 salary DOE Flexible working arrangements with 2 days on site More ❯

we’re looking for 3+ years developing deep learning systems with shipped models or published research. Hands-on with Vision Language Models, LLMs or generative models. Strong Python + PyTorch/JAX skills (debugging, profiling, shipping). Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see More ❯

we’re looking for 3+ years developing deep learning systems with shipped models or published research. Hands-on with Vision Language Models, LLMs or generative models. Strong Python + PyTorch/JAX skills (debugging, profiling, shipping). Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see More ❯

Electrical Engineering or related quantitative fields. Background in wireless communication systems, e.g., OFDM and MIMO technologies. Track record of related publications or successful projects. Proficiency in Deep Learning frameworks (PyTorch, JAX). Familiarity with advanced AI methods (e.g., transformer models). Excellent scientific communication and teamwork skills. Enthusiasm for innovative research with real-world impact. Join us to shape the More ❯

pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.) Experience using voice data in More ❯

of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate trade‐offs crisply. Nice-to-Have: Robotics or autonomous driving experience. RL 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 ❯

delivering ML projects from idea → production with measurable impact. Deep hands-on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isn’t just More ❯

AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems. Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot 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 ❯

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 7 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 ❯

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 ❯

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 ❯