351 to 375 of 549 PyTorch Jobs in England

accountable product owner of a technical capability while collaborating closely with research scientists, platform engineers and product teams. Foundations Strong Python and PyTorch or equivalent model‐training frameworks. Distributed training, accelerator utilisation, checkpointing, recovery, experiment tracking and reproducibility. Evaluation of model and agent behaviour, including controlled experiments and ablations. Data ...

agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training, or post-training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast-moving environment Deadline to apply: None. ...

safe navigation. Are confident developing in Python and/or C++ and have experience with relevant robotics, computer vision or perception tools such as PyTorch, OpenCV or Open3D. Have experience developing computer vision and perception solutions, which could include object detection, segmentation, image processing, 3D perception, scene reconstruction, spatial reasoning ...

applied ML/research engineering, with a track record of training and shipping neural nets, not only operating data platforms. Strong Python and PyTorch (or equivalent); comfort with GPU training, debugging, and reading model code. Hands-on experience with video, generative, or world models (diffusion/flow-matching/autoregressive ...

low. We operate a hybrid Python/C++ engineering stack. A large portion of our stack is Python-based (utilising libraries like NumPy, SciPy, PyTorch, Polars, Ray, Plotly, and Dash), but an increasing amount of our most performance-critical systems are written in modern C++ (C++23). We are actively … 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 ...

Data Scientist, Hands-on experience deploying ML models to production, not just research-level familiarity, Strong proficiency in Python (NumPy, pandas, scikit-learn, matplotlib, pytorch), Understanding of Windows or Linux software development platforms Excellent command of English – both written and spoken (international client communication, presentations), Expertise in at least … following domains: Experience with TensorFlow, PyTorch, XGBoost, LightGBM, Proficiency with Git, Linux, Docker, MLflow, Airflow, AWS/GCP/Azure, Solid SQL and data visualization skills. Additional Information Nice to have: Proven experience leading projects and managing teams, Experience in presales, client workshops, or building Proof-of-Concepts (PoCs), Familiarity ...

closely with data scientists and engineers, developing machine learning algorithms and integrating AI capabilities into existing systems. Essential skills include experience with TensorFlow or PyTorch and strong knowledge of data processing and optimization techniques. #J-18808-Ljbffr ...

strong skills in AI/ML, and a robust background in computer vision. The role entails working on generative AI and requires expertise in PyTorch/TensorFlow, production ML deployment, and cloud services. Ideal candidates are passionate about experimenting with new AI models and have a proven record of shipping ...

research from research to production, including model design, tooling, and infrastructure development. Ideal applicants have a strong ML background, publications, and experience with PyTorch/TensorFlow/JAX, as well as Python/C++. The role offers on-site work in London with visa sponsorship for international candidates. #J ...

with cross-functional teams, and contribute to strategic AI initiatives. The role emphasizes scalable architectures, DevSecOps practices, and cutting-edge AI technologies across Python, PyTorch, Azure AI, and related tools. Hybrid remote-work options are available. #J-18808-Ljbffr ...

will design ViT-based architectures, advance data pipelines, and develop scalable training systems for real-world deployments. The role emphasizes strong Python/PyTorch skills, deep learning expertise, and collaboration with cross-functional teams to translate research into production-ready solutions. #J-18808-Ljbffr ...

detecting physiological deterioration. Candidates should have an MSc or PhD in a relevant field and strong programming skills in Python. Familiarity with frameworks like PyTorch and TensorFlow is essential. The position offers an exciting opportunity to work in healthtech and contribute to impactful technology. #J-18808-Ljbffr ...

collaborating with engineers and product teams. Ideal candidates have 3+ years in data analysis and data science, hands-on ML experience (Python, TensorFlow/PyTorch), and strong communication skills to explain complex findings to non-technical #J-18808-Ljbffr ...

SPbSU, ITMO, YSDA, or international equivalents). Strong foundation in probability, statistics, linear algebra, and algorithms. Tech Stack & Hard Skills: Python (NumPy, Numba). PyTorch or JAX (for the ML track) OR advanced backtesting/quantitative modeling frameworks (for the Quant track). Proven track record of developing profitable ...

consumption) level. Core Tech/Domain: Hands-on experience with transformer architectures, LLM pre-training or fine-tuning workflows, and modern ML frameworks (PyTorch, Hugging Face, or equivalent). Methodology/Protocols: Strong grounding in evaluation methodology, RAG and fine-tuning trade-offs, and production ML deployment patterns. Soft Skills ...

Experience recruiting, developing, and retaining engineering talent in ambiguous, high-impact areas Hands-on background in ML model development and production ML systems (e.g., PyTorch), including multi-objective ranking and calibration Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ...

with full-duplex or streaming spoken dialogue systems and real-time interaction modeling is a plus. Proficient in Python and deep learning frameworks (e.g., PyTorch); experience with distributed training is a plus. Track record of publications at top-tier venues (e.g., ICML, NeurIPS, ICLR, ACL, ICASSP, Interspeech). Equal Employment ...

datasets Who You Are You have experience building and deploying machine learning systems in production You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar You have experience working with large datasets and care about data quality and evaluation You are interested in or have worked with ...

multi-disciplinary environment. Depth in at least one of: protein structure and complex prediction, docking or generative molecular design. Strong hands‐on experience with PyTorch and the scientific Python ecosystem. Experience contributing to and maintaining deep‐learning codebases, with a high bar for engineering quality, reproducibility and testing. The judgement ...

depth estimation, 3D scene understanding, rendering techniques, feature‐based tracking, self‐supervised learning, or learning‐based mapping and localisation. Engineering Rigor: Strong Python and PyTorch skills; ability to write testable, production‐quality code and participate actively in code reviews. Autonomy: Capable of independently formulating research problems, defining technical direction ...

current undergraduate, master's or PhD student in machine learning or a related discipline Strong object-oriented programming skills and experience working with Python, PyTorch and NumPy are desirable Experience in one or more advanced optimisation methods, modern ML techniques, HPC, profiling, model inference; you don’t need to have ...

depth estimation, 3D scene understanding, rendering techniques, feature-based tracking, self-supervised learning, or learning-based mapping and localisation. Engineering Rigor: Strong Python and PyTorch skills; ability to write testable, production-quality code and participate actively in code reviews. Autonomy: Capable of independently formulating research problems, defining technical direction ...

multi-disciplinary environment. Depth in at least one of: protein structure and complex prediction, docking or generative molecular design. Strong hands-on experience with PyTorch and the scientific Python ecosystem. Experience contributing to and maintaining deep-learning codebases, with a high bar for engineering quality, reproducibility and testing. The judgement ...

chemistry, or drug discovery. Familiarity with datasets, tools, data formats, and workflows commonly used in computational biology and chemistry. Strong hands-on experience with PyTorch and the scientific Python ecosystem (NumPy, SciPy, Pandas, etc.). Experience contributing to and maintaining deep-learning codebases, with a high bar for engineering quality ...

ablations and held-out problems. Clear writing and communication about experiment design, results and what they do and do not show. Strong Python and PyTorch, and daily use of coding agents. NICE TO HAVE Experience applying RL or agents to biological problems, for example with frameworks such as ProtRL. Experience ...