1 to 25 of 450 Permanent PyTorch Jobs in the UK

level design, API development, and data modelling for production machine learning systems. Build and operate production solutions using technologies such as Python, TensorFlow, PyTorch, Redis, Airflow, Docker, Kubernetes, and cloud-native infrastructure. Design and deploy scalable batch and real-time ML pipelines supporting customer-facing applications. Develop and operationalise ...

following would also be good to have for this role: Experience with training LLMs or other large transformer architectures. Contributions to ML frameworks (PyTorch, JAX, DeepSpeed, Megatron, xFormers, etc.).Familiarity with evaluation and serving frameworks (vLLM, TensorRT-LLM, custom KV caches).Experience with data pipeline optimization, sharded datasets, or caching ...

discipline, or equivalent practical experience. Strong Python programming and software-engineering skills. Experience developing machine-learning, generative AI or LLM applications. Practical experience with PyTorch, JAX, TensorFlow or a similar framework. Understanding of agentic AI concepts such as tool calling, planning, memory and workflow orchestration. Knowledge of reinforcement learning, preference ...

Latency, throughput, and cost optimisation Monitoring, observability, and evaluation frameworks Scaling ML systems in production environments Tech Environment Python (core ML and backend language) PyTorch/modern ML frameworks LLM ecosystem (OpenAI, Anthropic, etc.) GPU-based training and inference Docker and Kubernetes AWS, Azure or GCP The emphasis ...

image processing principles. Strong knowledge of modern deep learning architectures including CNNs, U-Net and related computer vision frameworks. Production-level experience with PyTorch and/or TensorFlow. Experience building, training, evaluating and deploying machine learning models. Strong understanding of Python scientific and machine learning ecosystems. Expertise in object-oriented ...

resiliency and security expectations; experience coaching engineers on safe, compliant adoption. Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).Proficiency in automation, continuous delivery (CI/CD), and cloud-native development (preferably AWS).Hands-on practical experience delivering system design, application development ...

designing and implementing machine learning solutions, including model training, deployment, and inference at scale, with working knowledge of AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, and scikit-learn. You have a background in a customer-facing technical role (solutions architect, ML engineer, data scientist, or technical consultant ...

write clean, production-ready code. Strong AI/ML fundamentals, including statistics, probability, linear algebra, and model evaluation. Experience with scikit-learn and either PyTorch or TensorFlow. Practical DevOps mindset: testing, CI/CD, reproducibility, code quality, and operational awareness. Excellent written and verbal communication; able to explain technical trade ...

software and hardware engineers to understand how models execute and where performance and efficiency can be improved. The work could include ML compilation, PyTorch integration, runtimes and drivers, performance analysis or embedded software. There will also be opportunities to contribute to technical design, take ownership of larger engineering challenges … source control, code review, testing and continuous integration. Experience across every part of the ML software stack isn't expected. Knowledge of ML compilers, PyTorch internals, runtimes, drivers, embedded software, performance optimisation or hardware acceleration would be valuable, but we encourage applications from people whose experience doesn't cover every ...

timeseries data and text Strong programming skills in Python and experience with standard data science libraries such as pandas, numpy, scikit-learn, tensorflow, pytorch Experience working with data systems, structured and unstructured databases such as ClickHouse or MongoDB Familiarity with APIs, pipelines, kubernetes and linux environments. Experience with version control ...

token classification. Working knowledge of large language models, including prompting and retrieval-augmented generation (RAG).Experience or coursework in Deep Learning frameworks like PyTorch or TensorFlow. Strong problem-solving skills and a curiosity for learning new technologies. Good verbal and written communication skills. Familiarity with cloud platforms (e.g., Azure (preferable ...

frameworks such as FastAPI.Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems. Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies. A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring. Experience creating automated evaluations ...

model serving infrastructure or inference backends. Preferred qualifications: Experience with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL).Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g. ...

deep-learning projects at high data volume commercially, owning deployment, CI/CD, monitoring and lifecycle management. Strong Python: Solid Python with PyTorch or similar ML frameworks. Model evaluation: You diagnose why models underperform across data, features and architecture, and make reasoned trade-offs. Real-time & distributed ML: A strong ...

standards across a small ML team. What they're looking for Proven experience building and operating production ML systems Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps, CI/CD and model lifecycle management Cloud platforms (AWS, GCP or Azure) and containers/Kubernetes Experience with low-latency or real ...

Write production-grade Python toolboxes, automation scripts, and spatial data pipelines for ArcGIS Pro, ArcGIS Enterprise, and SDE environments. Integrate deep learning frameworks (e.g. PyTorch or TensorFlow) and ML libraries (such as scikit-learn or Hugging Face) into geospatial workflows to solve client-specific problems at scale. Lead technical delivery …/ML to geospatial problems (e.g. object detection, image classification, feature extraction, or spatial prediction).Working knowledge of at least one deep learning framework (PyTorch or TensorFlow).Experience with ArcGIS Pro, ArcGIS Enterprise, and File or SDE geodatabases. Ability to communicate technical outputs clearly to non-GIS audiences. Degree ...

evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCPGraduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc. ...

machine learning lifecycle, from problem definition and experimentation through to deployment and monitoring. Proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow or similar technologies. Experience working with large datasets and distributed data processing environments. Applying software engineering best practices including testing, version control and developing maintainable ...

methods to large or high dimensional datasets. Proficiency in Statistical programming languages including SAS, R and Python: familiarity with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) preferred. Solid understanding of causal inference and observational study design. Excellent communication skills and ability to collaborate effectively in cross functional, global teams. Experience ...

Ranking and Recommendation, or Time Series AnalysisKnowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statisticsUnderstanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-LearnStrong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi ...

building or evaluating Generative AI models Experience in program/project management and team leadership Strong programming skills in Python and deep learning frameworks (PyTorch, TensorFlow) Demonstrable knowledge of Responsible AI issues, trends, frameworks, and best practices Working knowledge of emerging AI regulatory and legal frameworks across the globe Excellent ...

required; possesses hands-on experience with neural networks and deep learning models; has comprehensive knowledge of machine learning frameworks such as TensorFlow or PyTorch, as well as AI agent frameworks like LLamaIndex and LangGraph; well-versed in LLM orchestration and MCP usage. Data-driven mindset: skilled in designing data strategies ...

design programs. Skills and qualifications Essential: Significant experience with large scale distributed training of LLMs. Experience with deep learning ML frameworks (either JAX or PyTorch).Knowledge of parallelism strategies and collective communication libraries (e.g. NCCL).Good understanding of GPU architectures. Reasoning about performance concepts is more important than writing kernels ...

production environments. Strong understanding of machine learning engineering principles and modern software engineering practices. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or similar. Experience training and optimising models using large datasets and distributed compute infrastructure. Experience working with recommendation systems, ranking, retrieval, personalisation or related machine ...

discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with ...