Associate Cloud Consultant, Data Analytics, AWS Professional Services, Private & Public Sector At Amazon Web Services (AWS), we're hiring highly technical Data Analytics consultants to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation … travel in their contract. Key job responsibilities In this role, you will work with our partners, customers and focus on our AWS offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, AmazonSageMaker, Amazon Bedrock, Amazon Q, and Amazon … have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and more »
Machine Learning Engineer, Amazon Music Search As a machine learning engineer on the Amazon Music Search team, you will collaborate with scientists on developing and evaluating machine learning models (Search Relevancy & Ranking) using large datasets such as meta-data and search queries to improve the customer experience through … ideate, experiment, iterate, optimize, and scale quickly while thoughtfully balancing speed and quality. Key Job Responsibilities Use ML and Generative AI tools, such as AmazonSageMaker and Amazon Bedrock, to provide scalable production solutions to improve the customer experience, label data, build, train, tune, and deploy models. … help automate and optimize key processes. Work closely with science and engineering teams to drive model implementations and develop new algorithms. About the Team Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams more »
Azure. Experience with business intelligence tools like Tableau or PowerBI. Experience working with LLMs. Experience working with AWS Services like EC2, RDS(Postgres), SQS, Sagemaker, MLflow, S3, API gateway, ECS. Experience in UI frameworks like VueJS is a plus. About Us FactSet creates flexible, open data and software solutions more »
transformers. Experience working with large-scale datasets, data augmentation, and feature extraction techniques. Proficiency in cloud computing services for AI/ML deployment (AWS SageMaker, Azure ML, GCP AI). Familiarity with MLOps practices, including model versioning, deployment, and monitoring. Strong problem-solving skills and ability to work in more »
london, south east england, United Kingdom Hybrid / WFH Options
In Technology Group
transformers. Experience working with large-scale datasets, data augmentation, and feature extraction techniques. Proficiency in cloud computing services for AI/ML deployment (AWS SageMaker, Azure ML, GCP AI). Familiarity with MLOps practices, including model versioning, deployment, and monitoring. Strong problem-solving skills and ability to work in more »
with frameworks such as FastAPI, TensorFlow, LangChain/LlamaIndex. Familiarity with prompt engineering, embeddings & RAG, and vector databases. Experience with AWS ML capabilities (e.g. SageMaker, Bedrock) or their GCP/Azure equivalents. Experience with evaluating and improving the accuracy, efficiency and performance of LLM and RAG implementations and use more »
can avoid asking you about something you don't know about as we get to know each other. AWS services : EC2, Lambda, API Gateway, SageMaker, S3 (or equivalent from Azure, Google Cloud) Programming languages : Python, C++ Deep Learning Frameworks : PyTorch, TensorFlow, CUDA DevOps and automation, testing : Terraform, Ansible, Pytest more »
agents, and frameworks like vLLM, to drive product innovation. Utilize strong Python skills and work with tools like GitHub, Docker, SQL, PyTorch, and AWS Sagemaker to develop scalable solutions. Participate in a dynamic, fast-paced environment that offers opportunities for professional growth and product ownership. Work closely with a more »
with data visualization platforms such as PowerBI, Tableau or Sigma Knowledge of any of the following tools is a plus: Databricks, Snowflake, Dataiku, AWS, Sagemaker Oil and gas industry experience is a plus We are actively seeking candidates for full-time, remote work within the US and UK. Atlanta more »
years of experience in data science or machine learning roles. Strong foundation in statistics and machine learning. Data Stack: Python, Jupyter Notebook, Redshift, AWS SageMaker, Metabase Comfortable with SQL and data preparation/querying. Understanding MLOps and model deployment. Interest or experience in finance and/or sports analytics. more »
years of experience in data science or machine learning roles. Strong foundation in statistics and machine learning. Data Stack: Python, Jupyter Notebook, Redshift, AWS SageMaker, Metabase Comfortable with SQL and data preparation/querying. Understanding MLOps and model deployment. Interest or experience in finance and/or sports analytics. more »
cloud platforms such as GCP, AWS, or Microsoft Azure, and familiarity with cloud-based ML services and tools, such as Google AI Platform, AWS SageMaker or Azure Machine Learning. You are comfortable writing queries, exploring data, and collaborating on hypotheses with product and engineering counterpart. You have knowledge of more »
experience with Python development Established application development experience in Service Oriented Architectures Experience implementing Transformers (ideally, HuggingFace) Fine-tuned Transformer Models (ideally with AWS sagemaker but not essential) Experience deploying models and hosting via an API (AWS is preferred) Experience writing AWS Lambda functions Nice-to-Have Requirements Experience more »
tools and processes. We're migrating to the Snowflake platform along with other tooling as part of the modern data stack, such as AWS (SageMaker). In this role, you will be using ground-breaking technology to build and support world-class AI-based products, batch in the near more »
tools, and processes. We're migrating to the Snowflake platform along with other tooling as part of the modern data stack such as AWS (SageMaker). In this role, you will be using ground-breaking technology to build and support world-class AI-based products, batch in the near more »
PyTorch) Prior exposure to synthetic data is a plus Strong skills in Python Experience in setting up GPU-based training environments (e.g., Lambda, Runpod, Sagemaker) Company: Robert Walters Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates. more »
on cloud platforms (ideally, AWS although Azure and GCP are also fine) Expertise in Python programming Preferred, non-essential requirements: Experience working with AWS Sagemaker pipelines Experience with Langchain, Retrieval Augmented Generation (RAG) or Vector Databases Benefits £70,000 - 85,000 base salary (salary assessment will be primarily based more »
Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Job Title Senior Machine Learning Engineer Job Description Here at UnderwriteMe, we are on a mission to make life insurance more widely accessible and ensure people and their loved more »
be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment … or related technical, math, or scientific field. Strong working knowledge of deep learning, machine learning, and statistics. Experiences related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV … GNN, or distributed training and strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on more »
through research Job Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices more »
through research Job Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices more »
background in semantic search, experimentation, and full-stack data science. Participation in Kaggle competitions or similar achievements is a bonus. Tech Stack : Experience with SageMaker, Airflow, and cloud platforms such as Azure or GCP. Mindset : Highly impact-driven, with a clear focus on delivering measurable business outcomes. Why Join more »
You'll develop and maintain cutting-edge statistical modelling pipelines that underpin pricing tools and business decisions. Responsibilities include leveraging cloud platforms like AWS Sagemaker AI for predictive modelling, standardising processes across product portfolios, and mentoring actuarial colleagues in advanced analytic techniques. This role offers an opportunity to apply more »
You'll develop and maintain cutting-edge statistical modelling pipelines that underpin pricing tools and business decisions. Responsibilities include leveraging cloud platforms like AWS Sagemaker AI for predictive modelling, standardising processes across product portfolios, and mentoring actuarial colleagues in advanced analytic techniques. This role offers an opportunity to apply more »
Job Details: Principal Machine Learning Engineer Full details of the job. Job Title: Principal Machine Learning Engineer Job Description: Sage AI is a nimble team within Sage, building innovative services and solutions using generative AI and machine learning to turbocharge more »
