401 to 425 of 636 TensorFlow Jobs

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 ...

with 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 to bank ...

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 ...

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 ...

researchExperience in 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 at industry conferences.Experience ...

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 ...

compliance.WHAT YOU BRINGProduction-Level AI Expertise: Proven success building, deploying, and maintaining complex AI/ML solutions, modern AI frameworks (such as Python, TensorFlow, PyTorch, or LangChain), and cloud-native AI platforms (AWS, Azure, or GCP).Distributed Systems Mastery: Deep technical capability in structuring data platforms, data pipelines ...

observability, maintainability, and 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 GPU clusters ...

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 ...

compliance.WHAT YOU BRINGProduction-Level AI Expertise: Proven success building, deploying, and maintaining complex AI/ML solutions, modern AI frameworks (such as Python, TensorFlow, PyTorch, or LangChain), and cloud-native AI platforms (AWS, Azure, or GCP).Distributed Systems Mastery: Deep technical capability in structuring data platforms, data pipelines ...

compliance. WHAT YOU BRINGProduction-Level AI Expertise: Proven success building, deploying, and maintaining complex AI/ML solutions, modern AI frameworks (such as Python, TensorFlow, PyTorch, or LangChain), and cloud-native AI platforms (AWS, Azure, or GCP).Distributed Systems Mastery: Deep technical capability in structuring data platforms, data pipelines ...

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 models (LLMs ...

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 models (LLMs ...

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 models (LLMs ...

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 ...

vision-language understanding. The ability to write clean and maintainable code in Python, Rust, C++ or Java Experience with frameworks such as PyTorch, Tensorflow or JAX Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders and users A passion for identifying ...

processing PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent - Experience in computer architecture - Previous software engineering expertise with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, End-to-end Model Training. Amazon is an equal opportunity employer and does not discriminate on the basis of protected ...

working within Agile/Scrum delivery frameworks utilising JIRA/Confluence for project tracking/documentation purposes.Exposure to AI/ML frameworks such as TensorFlow or PyTorch along with practical experience deploying models into production environments; understanding model lifecycle management/monitoring processes.Previous involvement with transaction monitoring systems (e.g. ...

data and production environments. Experience in customer-facing or consulting roles is strongly preferredStrong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deploymentEngineering best ...

Vacancy detailMachine Learning Engineer65,000 GBPOnsite WORKINGLocation: Central London, Greater London – United Kingdom Type: PermanentAn opportunity is available for an experienced Senior Machine Learning Engineer to design, build and operationalise advanced machine learning solutions that ...