Chicago, Illinois, United States Hybrid / WFH Options
USAA
programming language Demonstrated knowledge of RAG (Retrieval Augmented Generation), Zeroshot (ZSL), Multishot prompting and other prompt engineering approaches, common AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML) and APIs Proficiency in using more »
Phoenix, Arizona, United States Hybrid / WFH Options
USAA
programming language Demonstrated knowledge of RAG (Retrieval Augmented Generation), Zeroshot (ZSL), Multishot prompting and other prompt engineering approaches, common AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML) and APIs Proficiency in using more »
Tampa, Florida, United States Hybrid / WFH Options
USAA
programming language Demonstrated knowledge of RAG (Retrieval Augmented Generation), Zeroshot (ZSL), Multishot prompting and other prompt engineering approaches, common AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML) and APIs Proficiency in using more »
Atlanta, Georgia, United States Hybrid / WFH Options
USAA
programming language Demonstrated knowledge of RAG (Retrieval Augmented Generation), Zeroshot (ZSL), Multishot prompting and other prompt engineering approaches, common AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML) and APIs Proficiency in using more »
Charlotte, North Carolina, United States Hybrid / WFH Options
USAA
programming language Demonstrated knowledge of RAG (Retrieval Augmented Generation), Zeroshot (ZSL), Multishot prompting and other prompt engineering approaches, common AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML) and APIs Proficiency in using more »
San Antonio, Texas, United States Hybrid / WFH Options
USAA
programming language Demonstrated knowledge of RAG (Retrieval Augmented Generation), Zeroshot (ZSL), Multishot prompting and other prompt engineering approaches, common AI/ML frameworks (e.g., TensorFlow, PyTorch), GIT, Docker and vector databases Demonstrated knowledge of cloud AI services (AWS SageMaker, GCP AI Platform, Azure ML) and APIs Proficiency in using more »
and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and more »
Bedford, England, United Kingdom Hybrid / WFH Options
Understanding Recruitment
NLP experience – NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies more »
Strong experience in natural language processing (NLP) and its applications. Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects. Previous experience in working on Spark, Hive, and SQL, Preferred qualifications, capabilities, and skills Financial more »
of relevant professional experience developing and deploying deep learning models in C++ applications. Experience working with modern deep learning frameworks and runtimes (e.g., PyTorch, TensorFlow, ONNX, TensorRT). Experience developing efficient C++ code for modern CPUs. Experience with GPGPU/CUDA programming. Hands-on experience working with software profiling more »
Prediction, Decision Making or Planning for autonomous vehicles. Fluency in Python and working knowledge of C++. Experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow) Proven record of leading and delivering projects as part of a team. Effective technical communication and leadership skills. An appreciation for the role of more »
the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory frameworks, with more »
Python Programming Language – 4-5+ years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with NumPy/Pandas Matplotlib/Plotly SQL/MySQL/database experience The ability driving projects from conception to completion Excellent communication more »
Person: *Strong Python skills *ML experience *Energy or Geospatial Data experience *GCP or AWS experience *Pandas and SQL experience *Scikit-learn, Keras, Pytorch, or TensorFlow experience *Full rights to work in the UK Reference Number: BBBH225262 To apply for this role or for to be considered for further roles more »
Boultham, Lincolnshire, United Kingdom Hybrid / WFH Options
Pro Box Recruitment
development methodology Familiarity with CI/CD and pipeline automation Familiarity of machine learning principals/pipelines and associated toolsets such as Pytorch and Tensorflow Familiarity with Azure, AWS, GCP products and services - Knowledge of technologies including: Docker or Kubernetes Distributed version control systems such as Git Exposure to more »
Employment Type: Permanent
Salary: £50000 - £70000/annum Salary dependent on experience
development, such as data quality, scalability, security, and ethics. SC Clearance/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and more »
development, such as data quality, scalability, security, and ethics. SC Clearance/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and more »
development, such as data quality, scalability, security, and ethics. SC Clearance/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and more »
development, such as data quality, scalability, security, and ethics. SC Clearance/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and more »
development, such as data quality, scalability, security, and ethics. SC Clearance/Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and more »
partnership model, conveying information clearly and creates a sense of trust with stakeholders. Preferred qualifications, capabilities and skills Experience with deep learning frameworks (pytorch, tensorflow) Experience with big-data technologies (Spark, Hadoop) or distributed computation frameworks (Dask, Modin) Hands on experience with Natural Language Processing (NLP) and Large Language more »
related field.Experience: 2-3 years in ML, data engineering, or MLOps.Abilities: Strong analytical, problem-solving, and communication skills.Skills:Proficient in Python, ML frameworks like TensorFlow or PyTorch.Experienced with CI/CD, Docker, Kubernetes, and data pipeline tools like Airflow. more »
years in ML, data engineering, or MLOps. Abilities: Strong analytical, problem-solving, and communication skills. Skills: Proficient in Python, ML frameworks like TensorFlow or PyTorch. Experienced with CI/CD, Docker, Kubernetes, and data pipeline tools like Airflow. more »
Strong NLP experience – NumPy, Pandas Commercial hands-on experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc more »
