376 to 400 of 549 PyTorch Jobs in England

right in if you 3+ years training large-scale deep learning models in multimodal domains (vision-language, audio, speech, or acoustic) Strong PyTorch skills with hands-on distributed training experience (DeepSpeed, FSDP, or similar) Deep experience with multimodal architectures - you understand how vision/audio encoders, projectors, and LLMs ...

closely related engineering background. You should have: Strong experience training deep-learning models in a production or research environment. Deep practical experience with PyTorch or a comparable framework. Experience with distributed training and multi-GPU systems (FSDP, Deepspeed, ...) Strong software-engineering fundamentals and a high bar for correctness ...

engine programming. Experience with hardware/software co-design, or with hardware performance modelling and simulation. Contributions to performance-critical open-source projects (e.g. PyTorch, Triton, JAX, vLLM). A collaborative and supportive work environment The opportunity to have a high impact in a growing organisation Competitive salary package ...

that are designed to be functional and easy to learn and use. Key Requirements Experience with inference frameworks such as JAX and/or PyTorch Experience of software development in Python, Rust, C/C++, or a similar language Experience monitoring and optimising code written in CUDA, ROCm, OpenCL ...

ownership of performance, reliability, and operation. Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. Understanding of post-training workflows ...

working knowledge of reinforcement learning, including practical experience training and debugging deep RL agents on non-trivial problems Solid Python and modern ML tooling (PyTorch or JAX, NumPy, common RL libraries) Comfort working with time-series sensor data, including the realities of missingness, drift, calibration issues, and noisy labels. Ability ...

that are designed to be functional and easy to learn and use. Key Requirements Experience with inference frameworks such as JAX and/or PyTorch Experience of software development in Python, Rust, C/C++, or a similar language Experience monitoring and optimising code written in CUDA, ROCm, OpenCL ...

technical field, or equivalent research experience. 3 years of experience designing, executing, and analyzing empirical research in AI. Experience using machine learning frameworks (e.g., PyTorch, JAX) to run experiments. Experience working with large language model architectures and their internal representations. Experience communicating scientific concepts to technical and non-technical audiences. ...

PennyLane, TKET or equivalent. Experience developing numerical algorithms, scientific computing libraries or simulation software. Experience with GPU programming and acceleration using CUDA, cuQuantum, JAX, PyTorch or similar tools. Knowledge of high-performance computing, parallel programming or distributed computing. Experience implementing or optimising tensor-network algorithms and libraries. Familiarity with numerical ...

preference or reinforcement-learning methods such as DPO or GRPO.* Stack. Strong Python and fluency in at least one deep learning framework, such as PyTorch or JAX.* AWS. Training and serving models on AWS: GPU instances, SageMaker or Bedrock, and S3-based data pipelines.* AI monitoring. Experience with LangSmith ...

introduce modern technical tools, frameworks, and architectural patterns Qualifications PhD in CS/CE/EE, or equivalent, in industry experience Deep knowledge of PyTorch, TrensorFlow or Jax Knowledge of model training framework In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models ...

code reviews, testing, deployment, and operational excellence. Qualifications PhD in CS/CE/EE, or equivalent, in industry experience Deep knowledge of PyTorch, TrensorFlow or Jax Knowledge of model training framework In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models Experience ...

conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related venues. You have strong coding skills in Python, PyTorch, and NumPy. You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people. ...

ISCA, orHPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experienceapplyingpost-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks ...

common DSP libraries/techniques (e.g., CMSIS-DSP, vendor DSP libs) and SIMD/vector optimization patterns. Experience of Machine Learning frameworks such as PyTorch or Tensorflow: how to train and tune a Machine Learning model, how to debug and test Machine Learning models. Experience of implementing a Machine Learning ...

services used by multiple internal teams. Experience working in distributed, international engineering organisations. Familiarity with popular scientific computing frameworks and libraries (e.g., TensorFlow, PyTorch, HPC libraries). Background in security protocols, compliance standards, and disaster recovery procedures for enterprise infrastructure environments. Experience communicating complex technical concepts to executive stakeholders ...

services used by multiple internal teams. Experience working in distributed, international engineering organisations. Familiarity with popular scientific computing frameworks and libraries (e.g., TensorFlow, PyTorch, HPC libraries). Background in security protocols, compliance standards, and disaster recovery procedures for enterprise infrastructure environments. Experience communicating complex technical concepts to executive stakeholders ...

does not require kernel engineering to be the candidate’s primary specialization. Contributions to open-source projects such asvLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, orKServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries ...

owned credible sim-to-real transfer and physical validation. Hands-on technical ability: You write and review high-quality Python. You work directly with PyTorch or an equivalent framework. You can read unfamiliar model and training code, design and debug experiments, inspect failures and rollout traces, work with large multimodal ...

owned credible sim-to-real transfer and physical validation. Hands‐on technical ability: You write and review high-quality Python. You work directly with PyTorch or an equivalent framework. You can read unfamiliar model and training code, design and debug experiments, inspect failures and rollout traces, work with large multimodal ...

back into future training. This is not a narrow research role and it is not traditional MLOps. You’ll move between custom PyTorch code, distributed data pipelines, Dockerised services, RL environments, evaluation infrastructure and production‐quality software. ___________________________________________________________________________ What you’ll do Build the training systems behind Lumen Contribute … pipelines using curated code and conversation datasets. Build reinforcement‐learning loops in which models write code, run tests and use development tools. Develop custom PyTorch dataloaders, training objectives and evaluation workflows. Run and analyse fine‐tuning and RL experiments across large, modern open‐source models. Create the data that teaches ...

scales effectively and keeps trading latency low. Our ML stack is Python based and utilises modern ML libraries and tooling including Numpy, Scipy, Pytorch, Polars, Ray, Plotly, Dash etc. The ideal candidate will have a strong software engineering background with a track record of building and maintaining production-grade … Experience optimising dataframe code, e.g. in Pandas or ideally Polars Experience of machine learning techniques and related libraries and frameworks e.g. scikit-learn, Pytorch, Tensorflow etc Experience deploying and serving ML models in production, including model monitoring and real-time inference Experience in scientific computing with other languages & frameworks Strong ...

tools, such as ArcGIS or ArcPro, and GEOINT collection systems, and with Grafana, Power BI, or Tableau Experience with deep learning frameworks, such as PyTorch or TensorFlow, and modern AI patterns such as retrieval-augmented generation ( RAG ) for analytic workflows Experience supporting CCMDs, service components, or spe cia l operations … tools, such as ArcGIS or ArcPro, and GEOINT collection systems, and with Grafana, Power BI, or Tableau Experience with deep learning frameworks, such as PyTorch or TensorFlow, and modern AI patterns such as retrieval-augmented generation ( RAG ) for analytic workflows Experience supporting CCMDs, service components, or spe cia l operations ...

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid ...

Senior Data Scientist - Python/Machine Learning Permanent Location: UK - Remote Salary: £65,000 - £70,000 (+ benefits) Skills: Python, Machine Learning, Statistical Modelling, AWS, Data Engineering An exciting opportunity has arisen for an experienced ...