301 to 325 of 345 Remote/Hybrid PyTorch Jobs

aware model optimisation techniques such as quantisation, graph optimisation, operator fusionandprecision reduction Experience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO. Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs ...

about building something new and relish the idea of helping to define AV2.0 and how we build it. DesiredPractical experience with machine learning (e.g. pytorch). Passion to take research ideas to production. Track record of promoting statistical rigour and experimental best practices in your prior roles. Prior experience using ...

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 ...

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 ...

substantial research direction with strong execution, and experience mentoring others on a fast‐moving, applied research team. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Nice to have Demonstrated experience fine‐tuning ...

days remote arrangement. The ideal candidate holds a Ph.D. in a relevant field, with strong NLP/ML expertise, publications, and experience with PyTorch, TensorFlow and Scikit-Learn, plus data science work on large datasets. #J-18808-Ljbffr ...

Salary: £90,000 (stretch to £100k) + equity Working Model: 100% remote flexibility, with optional access to the London (Spitalfields) office Tech Stack: Python, PyTorch, Hugging Face, Transformers, LoRA, PEFT, LLMs, SLMs, Qwen, Gemini, Retrieval Systems, Embeddings, Semantic Search Visa Sponsorship: Available Interested? Please apply below. ...

requirement, helpful experience includes: An interest in working with data at scale using tools like dbt, Spark, and AI/ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)Experience with Kafka or other event-driven architectures. During our application process, you will be asked two questions to help us learn more ...

deploying and optimizing GPU workloads on: Kubernetes: Container networking (CNI), NVIDIA GPU Operator, RDMA Shared Device Plugin, MPI Operator. Bare-Metal: Slurm, Ansible, Terraform, PyTorch/NCCL environment tuning. Documentation Skills: Demonstrated experience creating enterprise-grade HLDs, LLDs, network rack diagrams, and itemized BOMs. Power & Thermal Awareness: Familiarity with high ...

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 ...

training models, running experiments, and debugging pipelines, and who can carry research results through to production with engineering. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow). Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities. Nice to have Experience ...

Analytics, Cognitive Services, Event Hubs, Synapse, and Data Factory). Data Science & AI Development Skills: Fluency in Python and common modelling frameworks such as PyTorch and TensorFlow. MLOps & Production Deployment: Skilled in applying MLOps frameworks within production environments. Analytical & Problem‐Solving Strength: Excellent problem‐solving and analytical skills. Troubleshooting & Technical … Cognitive services, Event Hubs, Synapse, and Data Factory). Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, TensorFlow etc. Skilled in application of MLOps frameworks within a production environment. Excellent communication skills, both verbal and written. Strong time management and organisation skills. ...

ideal candidate will possess a Ph.D. and a strong background in classic machine learning as well as practical experience with Python frameworks like PyTorch and TensorFlow. This position offers a competitive salary and a blend of office and remote work. #J-18808-Ljbffr ...

with Applied Scientists, Data Engineers, PMs and business stakeholders to productionise solutions. Role requires strong Python, PySpark/Databricks experience, hands-on DL with PyTorch or TensorFlow, and a pragmatic, business-focused #J-18808-Ljbffr ...

Machine Learning Engineer to join their expanding team in London. Required Experience Strong C++ development skills. Experience with CUDA for GPU acceleration. Python and PyTorch experience. Knowledge of Transformers, computer vision or image analysis. Postgraduate or commercial experience within AI/Machine Learning This is an exciting opportunity to work ...

Point-in-time discipline, look-ahead and survivorship bias, and reconstructing what was knowable on a given date. Statistical modelling and optimisation (statsmodels, cvxpy; PyTorch useful). Datasets in pandas and Parquet/Arrow, plus an analytical engine such as DuckDB. Nice to have Quantitative research background, academic or industry. ...

deep learning models Practical experience with distributed or large-scale training and inference Deep understanding of at least one major deep learning framework (ideally PyTorch) Experience building and operating ML systems on cloud platforms Passion and determination Able to grind through complicated and ambiguous problems Delivery-oriented; respects timelines ...

functional teams. Excellent communications skills both written and verbal “Nice To Have” Skills and Experience: Experience with AI/ML frameworks such as TensorFlow, PyTorch, ONNX, or inference runtimes. System bring-up and JTAG debugging expertise Good background of system performance analysis Experience with RTL simulation tools and software development ...

demonstrate: Proven product management in development tools and software including CLIs, SDKs and APIs. Knowledge of machine learning frameworks, runtimes, infrastructure such as PyTorch, ONNX, ExecuTorch, Llama.cpp, vLLM and LiteRT. Understanding of model deployment to edge, embedded or heterogeneous computing, with an understanding of trade-offs between accuracy, performance ...

sampling efficiency or model throughput Experience working with high-dimensional temporal or spatial-temporal data (e.g., video, multi-sensor fusion). Strong Python and PyTorch engineering fundamentals, and experience building research-grade production tools. Strong publication record or contributions to open-source ML tooling. Ability to work collaboratively ...

skills, with a track record of partnering effectively with modeling and engineering teams. Nice to haves: Domain expertise in AdTech Hands-on experience with PyTorch for model architecture, training pipeline acceleration, or distributed training. Proficiency with cloud & infrastructure technologies, including AWS/GCP, as well as containerization and orchestration platforms … Competitive programming background, such as awards or achievements in OI (Olympiad in Informatics) or ACM/ICPC. Tech Stack: Python, Java, Kafka, Flink, Spark, PyTorch, Kubernetes, AWS What Success Looks Like in Your First 30/60/90 Days First 30 days: Ramp quickly on Cognitiv's feature pipelines ...

boost AI model inference performance on CPU and CPU/XPU hybrid systems, using advanced compiler techniques. You will profile frameworks such as TensorFlow, PyTorch and ONNX, optimize graph execution, and contribute to open research with practical insights and publications. #J-18808-Ljbffr ...

models, with a strong emphasis on practical product impact and close collaboration with product teams. The role requires a strong math background, expertise in PyTorch, and experience with Rust/CUDA for high-performance inference. This is a unique opportunity to shape the AI strategy for a fast-growing platform. ...

product, research and engineering to deliver high‐quality AI-based diagnostics. The role emphasizes producing production‐readied ML systems from research, using Python and PyTorch, with cloud, hybrid and on‐prem deployments, in a healthcare‐focused setting. Hybrid work and equity are offered. #J-18808-Ljbffr ...

training and alignment while scaling training across large GPU clusters. You will apply your deep knowledge of transformers, distributed frameworks, and PyTorch/Hugging Face to deliver robust, efficient models. This remote, international role invites collaboration with researchers worldwide on cutting-edge AI R&D. #J-18808-Ljbffr ...