26 to 50 of 71 PyTorch Jobs in Slough

Graphs Experience with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For More ❯

reviews, reporting into the CTO SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in some of: Diffusion, GANs, 3D modelling, BRDF, PBR, relighting, rendering, Gaussian Splats, Neural Radiance, Computer Vision Management and leadership More ❯

least 3+ years in machine learning or AI-focused roles, ideally in a commercial setting. Technical Skills : Proficiency in Python and libraries like TensorFlow, PyTorch, scikit-learn . Strong understanding of machine learning algorithms, data pipelines, and model deployment. What’s on Offer: Very competitive salary and stock options. Hybrid More ❯

4+ years of ML experience (e.g., scene understanding, multi-modal sensing). Expertise in Python, Rust, C++, or Java, as well as frameworks like PyTorch, TensorFlow, and JAX. Excellent communication and problem-solving abilities. Bonus : Experience with MLOps, sensor modalities, or deploying production models. Note : Diverse backgrounds are encouraged; not More ❯

promotions during the last financial year Technical requirements include: Demonstrable experience designing and implementing machine learning models using Python frameworks such as TensorFlow or PyTorch Practical knowledge of generative AI tooling including Hugging Face transformers and LangChain orchestration Specialisation in natural language processing and large language models, covering training methodologies More ❯

scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A strong interest for a product-centric organization Desirable Skills: Working knowledge of cloud computing More ❯

solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with More ❯

needs of users, creators and content stakeholders Preferred Qualifications Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or PyTorch Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines Deep understanding of the mathematical foundations of Machine More ❯

learning. Collaborate with cross-functional teams to integrate AI capabilities into products and workflows. Conduct research, model fine-tuning, and validation using frameworks like PyTorch or TensorFlow. Support AI governance and ensure responsible, scalable implementation. Mentor junior team members and promote a culture of innovation and knowledge sharing. Ideal Candidate … 7+ years of experience in data science with a focus on Generative AI and NLP. Strong Python programming skills and proficiency with ML frameworks (PyTorch, TensorFlow). Experience with containerization tools (Docker, Kubernetes) and cloud platforms (AWS, Azure). Strong problem-solving ability and excellent communication skills. PhD and exposure More ❯

from a high calibre team SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in some of: Diffusion, GANs, 3D modelling, BRDF, PBR, relighting, rendering, Gaussian Splats, Neural Radiance Excellent communication skills with proven More ❯

Python, scikit-learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms. Desired Skills ⚙️ Python, Java TensorFlow, scikit-learn, PyTorch Kubernetes MLOps AWS Benefits 🏖 Hybrid working Regular team events If you are a skilled Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) who is interested More ❯

the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimisation methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote work with offices in Cambridge or London The chance to publish and share your More ❯

data handling, visualization , and biological data analysis. Proficient in Python , familiar with software development best practices . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to More ❯

research team dedicated to developing and refining systematic investment models. You’ll work hands-on with large and alternative datasets, employing tools like Python, PyTorch, and modern machine learning frameworks to design, test and evolve predictive signals and strategies. Your role will be an exciting mix of theoretical research and More ❯

support Tech Stack Our client is tech-agnostic and values adaptability. Current tools include: Backend : Python Frontend : TypeScript, React Infrastructure : Kubernetes, GCP Machine Learning : PyTorch, CUDA, Ray What’s on Offer Highly competitive base salary + commission + equity in a hyper-growth company 25 days holiday + public holidays More ❯

solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with More ❯

hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in PyTorch or TensorFlow ✅ Good understanding of C++ ✅ Interest/experience in the video, games or film industry Bonus if you have: GitHub, papers, or personal projects More ❯

teams in AI tech. What They’re Looking For Solid AI/ML experience with a strong grasp of Python & frameworks like TensorFlow/PyTorch . Strong back-end engineering skills (Python or Node.js, bonus points for React/front-end experience). Experience deploying AI models into real-world More ❯

Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and performance tuning in a GPU environment. Experience working with deep learning frameworks (e.g., TensorFlow, PyTorch) or similar ML frameworks is a plus. Strong problem-solving skills and a keen interest in optimizing systems for ML workloads. A passion for machine More ❯

enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML Development: PyTorch, Jupyter Notebooks, XGBoost, Tensorflow etc. AIML Models: Linear/Logistic Regression, KNN, Decision Trees, Anomaly Detection, LLMs, Generative Models (PALM, GPT3/4), Entity Extraction More ❯

in using transformers for biological data, such as DNA, protein, or evolutionary-scale modelling. Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. Knowledge of lab More ❯

technology impact. Requirements 2+ years experience deploying ML models in production. 4+ years software engineering experience. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch). Experience with cloud platforms, preferably Google Cloud. Strong communication and collaboration skills. Benefits Competitive salary and equity package. Comprehensive health insurance. Flexible hybrid working More ❯

a strong passion for game development. Familiarity with Unity game development and its backend integration. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, etc.). Exposure to automation-focused architecture and delivery. To apply or find out more, please get in touch for a confidential discussion. More ❯

learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days onsite and flexible hours) This is a high-impact role for someone who thrives on building ambitious More ❯

and innovation What our client is looking for 7+ years of experience building and deploying large-scale ML systems in production Strong Python and PyTorch skills, with a deep understanding of transformers, LLMs, and multimodal models Hands-on experience with distributed training frameworks like DeepSpeed or FSDP Solid background in More ❯