21 of 21 Permanent PyTorch Jobs in Berkshire

Required Skills & Qualifications Education: Bachelor's or Master's in Computer Science, Data Science, Mathematics, or related field. Programming: Strong proficiency in Python (TensorFlow, PyTorch, Scikit-learn), and experience with SQL. ML Expertise: Solid understanding of supervised/unsupervised learning, deep learning, and model evaluation techniques. Cloud & MLOps: Experience with ...

roles, with proven success in delivering end-to-end projects. Strong proficiency in Python, R, and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles ...

work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ● Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ● Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ● Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. ● Ability ...

model serving, versioning, and lifecycle management Lead documentation, knowledge transfer, and mentoring to upskill internal teams Technical requirements Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience preferred Financial services experience highly ...

validation, deployment, and monitoring. Technical Proficiency: Fluency in Python, SQL, or similar languages, and experience with deep learning frameworks such as TensorFlow, Keras, PyTorch, or MXNet. Agile & DevSecOps: Familiarity with Agile methodologies and DevSecOps practices, including Git for version control. Cloud Platforms: Exposure to Azure, AWS, or GCP, with ...

achieve reliable results. True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn) and know when a simple classifier is better than a generative model. Data Fluency: You understand how to build datasets from ...

desirable experience Experience with large-scale ML systems (model training, serving, platforms) Experience supporting or working inside ML research teams Familiarity with ML frameworks (PyTorch, TensorFlow etc) Experience building pipelines for scientific or healthcare data Knowledge of cluster compute, distributed training and GPUs Understanding of healthcare data or regulated environments ...

Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute/GPU workloads. Excellent people ...

LLMs, transformer-based models, and prompt engineering. Expertise in cloud platforms (Azure, AWS, or GCP) and MLOps pipelines. Proficiency in Python, TensorFlow/PyTorch, and API integration. Understanding of data governance, security, and compliance in AI systems. Excellent communication and stakeholder management skills. Nice to Have Experience with multi-modal ...

calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user-centric design for AI interfaces and intelligent automation. Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.). Preferred Skills Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration. Self-motivated with a strong growth ...

deployment, evaluation, monitoring, optimisation Familiarity with agentic frameworks (ReAct, LangGraph, tool orchestration) Strong communication skills for technical workshops and solution shaping Preferred Experience with PyTorch/TensorFlow, vector DBs, RAG, distributed inference Background in start-ups, high-performance engineering groups, or technical consulting Experience navigating complex industries or regulated environments ...

cost-effective serverless architecture. Experience working with Python, C#, and Angular. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with PyTorch, Scikit-learn, Go, Databricks, JavaScript, and Azure Pipelines is desirable, but not essential. Experience in leading software engineering efforts for AI-enabled SaaS products ...

industry research experience. • Ideally 3+ years in machine learning/deep learning/LLMs or adjacent advanced AI research. • Proficient in Python; experience with PyTorch or JAX. • Understanding of reinforcement learning, multi-agent systems, probabilistic/Bayesian methods, or large-scale training. • Curiosity-driven mindset, strong problem solving ...

physics, computer science...) Expertise in machine learning, with a strong understanding of flow matching, diffusion and/or GANs Machine learning orientated programmed skills (Pytorch, Python...) Experience in developing and benchmarking new machine learning models Working with multi-GPU models Industrial experience in machine learning applications for either chemistry ...

diffusion models and generative AI Proven experience with text-to-image generation, multimodal AI Large-scale model training experience (distributed systems, GPUs) Proficiency in PyTorch, JAX, or similar frameworks Enterprise AI deployment experience Safety and alignment research background Multilingual/multicultural AI expertise Highly Valued: A Background at top-tier ...

diffusion models and generative AI Proven experience with text-to-image generation, multimodal AI Large-scale model training experience (distributed systems, GPUs) Proficiency in PyTorch, JAX, or similar frameworks Enterprise AI deployment experience Safety and alignment research background Multilingual/multicultural AI expertise Highly Valued: A Background at top-tier ...

product engineers to ship fast in an environment that iterates constantly What they're looking for Strong Python engineering background Experience with frameworks like PyTorch, JAX or TensorFlow Demonstrated ability to scale ML workflows in real-world settings (cloud, GPU clusters, distributed training) Comfortable with MLOps tooling ...

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 … 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 ...

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 ...