276 to 300 of 465 TensorFlow Jobs

validation, overfitting and bias/variance trade-offs, and data quality and feature engineering • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building and maintaining ML pipelines in production • Familiarity with GPU usage and optimisation • The ability to debug and improve model performance systematically Also ...

applied AI research. Commercial or research experience implementing machine learning algorithms. Strong programming skills in Python; C++ experience is advantageous. Experience with PyTorch, TensorFlow, JAX, or similar deep learning frameworks. Why Apply? Join a world-class AI research team working on cutting-edge machine learning technologies. Play ...

understanding of: Model evaluation and validation Overfitting, bias/variance tradeoffs Data quality and feature engineering Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow) Experience building and maintaining ML pipelines in production Familiarity with GPU usage and optimisation Ability to debug and improve model performance systematically We also ...

similar LLM platforms and exposure to agentic architectures (multi-agent systems, orchestration, HITL workflows) Experience with vector databases and familiarity with PyTorch or TensorFlow Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants ...

Prime Finance, securities lending, or inventory management. Familiarity with revenue and yield management strategies. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of optimization libraries and techniques (e.g., Gurobi, CPLEX, linear/nonlinear programming). Track record of publishing research or presenting ...

professional software engineering experience with meaningful work on ML inference or high-performance systems.* Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).* Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).* Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative ...

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 ...

automation, and data processing. Hands-on experience with at least one of the following frameworks: SNPE/QNN (Qualcomm) , OpenVino (Intel), TensorRT (Nvidia), TensorFlow Lite Familiarity with Docker for creating consistent development and deployment environments. Bonus: Understanding Deep Learning fundamentals (CNNs, Transformers, Object Detection). Experience with model conversion ...

Hands‐on LLM/ML systems experience: fine‐tuning models, building inference pipelines, optimisation for latency/cost, evaluation of model performance; comfortable with TensorFlow, PyTorch, Triton and productionising ML. Technical depth and breadth: T‐shaped expertise in at least one area (ML infrastructure, backend systems, performance optimisation) with ...

code Ability to manipulate large financial data sets for empirical research and handle complex Experience with machine learning software libraries such as scikit‐learn, TensorFlow or PyTorch Experience with natural language processing technology, including LLMs and prompt engineering is a plus Strong quantitative skills with demonstrated understanding of mathematics ...

regulated environment. Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. Strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine‐tuning large language models (LLMs ...

user-level and performance marketing data.• Proficiency with AWS (SageMaker, Lambda, Step Functions), Snowflake, and modern MLOps tooling. Familiarity with ML frameworks including PyTorch, TensorFlow, scikit-learn, and XGBoost. Experience managing and scaling high-performing data science and ML engineering teams. Working at Tripledot25 days paid holiday in addition ...

Need Strong software development skills with proficiency in multiple programming languages (Python, JavaScript/TypeScript, etc.) Hands-on experience with machine learning frameworks (PyTorch, TensorFlow, or similar) Extensive daily use of generative AI tools for coding (Claude, Cursor, GitHub Copilot, or equivalent) Proven ability to deliver working prototypes quickly ...

scale. Hands-on LLM/ML systems experience: Production experience with LLMs, fine-tuning, inference pipelines, latency/cost optimization, or evaluation; familiarity with TensorFlow, PyTorch, or Triton; capable of productionizing ML. Technical depth and breadth: T-shaped with deep expertise in at least one area and broad software ...

Prime Finance, securities lending, or inventory management. Familiarity with revenue and yield management strategies. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of optimization libraries and techniques (e.g., Gurobi, CPLEX, linear/nonlinear programming). Track record of publishing research or presenting ...

engineering best practices. Experience working with cloud environments, ideally Azure. Experience with concurrent, parallel, or distributed computing. Familiarity with ML frameworks such as PyTorch, TensorFlow, or PyTorch Lightning. Ability to work closely with technical stakeholders to refine requirements and deliver practical, scalable solutions. Desirable skills Experience working with large ...

following technical skills: Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine‐tuning large language ...

Counterfactuals Estimation, Optimization and Scenarios simulation Solid experience with Probabilistic Programming and Bayesian Methods Experience using machine learning frameworks such as scikit-learn, Pymc, TensorFlow, PyTorch, Databricks ML, Keras etc..., Experience with ML at scale Experience coordinating projects across diverse teams. Proven attention to detail, critical thinking ...

following technical skills: Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language ...

following technical skills: Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language ...

following technical skills: Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language ...

following technical skills: Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language ...

following technical skills: Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language ...

tune, and optimize open-source SLMs (e.g., Gemma 3, Llama 3) and vision-language models for execution on low-power edge runtimes (LiteRT/TensorFlow Lite, ONNX Runtime, ExecuTorch). Knowledge Analytics & Graph Processing: Design, implement, and maintain lightweight on-device graph databases and relationship extraction pipelines (Python, Rust ...

following technical skills:* Industry experience working on Agile projects across the full software life cycle.* Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration.* A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language ...