176 to 200 of 386 PyTorch Jobs in London

sports data such as numerical, spatial, video, and metadata; Advanced Python expertise and strong hands-on experience with ML/DL frameworks such as PyTorch and TensorFlow; Experience taking models from experimentation into production model serving; End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model ...

Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience working in industry, working on projects from proof-of-concept through to implementation. Experience with training diffusion models. Experience conducting applied research. Preferred ...

Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience working in industry, working on projects from proof-of-concept through to implementation. Experience with training diffusion models. Experience conducting applied research. Preferred ...

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 in scientific computing with other languages & frameworks Participation in the uncapped company bonus scheme, typically 15-25% of salary depending on experience ...

move from research and backtesting into live trading. Key Responsibilities Build and improve predictive models for sports betting markets using TensorFlow/Keras, PyTorch or similar. Develop features from historical match data, player performance, Elo/rating systems, market odds and other sports data. Develop probability models and calibration techniques ...

language modeling architectures (e.g. transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX Intellectual curiosity, versatility, and originality combined with a pragmatic outlook Ability to thrive in a collaborative, team-oriented environment Ability ...

Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience working in industry, working on projects from proof-of-concept through to implementation. Experience with training diffusion models. Experience conducting applied research. Preferred ...

development. Hands‐on experience with frontier LLMs and their applications in code generation or automation. Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks. Experience with distributed systems, cloud infrastructure, and scalable architectures. A proactive, self‐motivated mindset, with a passion for solving ambitious, open ...

tuning. Strong software engineering practices, including clean, testable, well-documented and reproducible research code, with proficiency in Python and deep learning frameworks such as PyTorch or JAX. Familiarity with distributed training frameworks and large-scale biomedical data processing, with demonstrated ability to take research from novel idea through rigorous experimentation ...

code. Improve reproducibility, traceability and quality across ML engineering workflows. Identify risks, communicate trade-offs and proactively improve tooling and processes. Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases. Experience building, optimising and maintaining ML training and inference pipelines. Experience with ...

problems Strong experience in computer vision, algorithms or related areas Strong programming ability in Python, C++, Rust or Java Experience with frameworks such as PyTorch, TensorFlow or JAX Strong mathematical and problem-solving fundamentals An interest in combining machine learning with traditional algorithms and engineering techniques The ability to communicate ...

/or ML/Deep Learning platforms. Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.) Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency ...

series). Experience limited to API usage or prompt engineering is not sufficient. Experience building large‐scale data pipelines and distributed training systems using PyTorch, JAX, or equivalent frameworks. Deep knowledge of large‐model training and evaluation: optimization, parallelism, mixed precision, checkpointing, experiment design, ablations, and benchmarking. Evidence of research ...

specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state ...

performance engineering: kernel/network tuning, lock-free programming, hardware-aware optimization, or FPGA-adjacent systems. Experience with ML/data tooling such as PyTorch, JAX, CUDA, GPU clusters, Ray, Kafka, Kubernetes, Spark, or comparable technologies. Understanding of market microstructure, backtesting pitfalls, transaction costs, and the operational needs of live ...

/O, profiling and performance optimization Production experience with Kubernetes and SLURM for job orchestration on GPU clusters Proficiency in Python and ML frameworks (PyTorch strongly preferred) Experience with cloud GPU infrastructure; ideally CoreWeave or similar GPU/HPC-focused clouds Ideally Experience with geometric deep learning or neural operators ...

research reproducible and reliable. You have experience down to the level of CUDA kernels or XLA. You have contributed to open source projects like PyTorch, JAX, MLX or similar. You care about research outcomes as much as system uptime. You form opinions about what experiments ...

enterprise‐level infrastructure and architecture, including a extensive understanding of APIs. You have experience building, tuning, or deploying ML models (e.g., scikit‐learn, XGBoost, PyTorch, TensorFlow) in production settings Experience with AI use cases in financial services (e.g. fraud detection, credit scoring, underwriting) is a strong plus. You are comfortable ...

This role demands a Master's or PhD in a quantitative field, requiring strong skills in statistics and machine learning, including extensive experience with Pytorch and MLOps tooling. You will build scalable Data Science capabilities and collaborate with engineers to deploy Machine Learning services. This opportunity blends research and engineering ...

deployments, from research to production, in a fast-moving startup focused on reducing CO2 emissions. You’ll work in a multidisciplinary team, using Python, PyTorch and scikit-learn, with cloud infrastructure on AWS/GCP/Azure, and you’ll help advance our edge-enabled, climate-impacting technologies #J ...

/ML/Physics/Maths or equivalent research experience - Strong hands-on expertise in at least one core area above - Strong Python and PyTorch/distributed training experience - Track record of top-tier publications (NeurIPS, ICML, ICLR, CVPR, ACL) or major open-source foundation model contributions #J-18808-Ljbffr ...

work clearly Nice to have Experience with optimisation, reinforcement learning and/or large language models Familiarity with deep learning frameworks such as TensorFlow, PyTorch or JAX Experience building and maintaining research infrastructure or tools Exposure to chip design or applied AI research #J-18808-Ljbffr ...

platform products at scale Excellent written and verbal communication; comfortable engaging directly with clients Right to work in the UK Required skills Python PyTorch LLMs MLOps Benefits at SREEYAMSOFT Top-of-market pay with annual reviews and performance bonuses. £2,000/year for certifications, conferences and learning. Modern offices ...

research achievements of comparable quality Deep understanding of modern deep learning methods including graph neural networks, transformer architectures, and diffusion models Strong Python and PyTorch programming skills The ability to independently drive research from idea through to implementation Excellent communication and collaboration skills across technical and scientific teams Particularly strong ...

machine learning, software engineering, and agentic development best practices; Demonstrate proficiency with standard deep learning algorithms and model architectures; Have experience with Python and PyTorch, or equivalent languages and machine learning frameworks; Have experience working with biological sequence and network data, including genomics, transcriptomics, proteomics, gene regulatory networks, or related ...