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AWS SageMaker role.

This role is a Bioinformatics Engineer contract position in Waltham, MA, lasting until May 2026. It requires 3+ years of experience in cloud infrastructure, AI/ML development, and bioinformatics, along with an advanced degree in a related field.

This role is for a Cloud Infrastructure/AI/ML Engineer in Waltham, MA, on a contract until May 2026. Requires 3+ years in cloud infrastructure and AI/ML, an MS or PhD, and proficiency in Python, Bash, and AWS.

This role is for an AI/ML Engineer in Jersey City, NJ, with a long-term contract offering a competitive pay rate. Key skills include Python development, CI/CD, and API building. A Bachelor’s degree and 5+ years of relevant experience are required.

This role is for a Bioinformatics Specialist in Waltham, MA, on a contract until May 2026. Requires 3+ years in cloud infrastructure/AI/ML, advanced degree in related fields, expertise in NGS data analysis, and proficiency in Python, R, and cloud platforms.

This role is for a Machine Learning Data Scientist, 100% remote, with a contract length of unspecified duration. Pay rate is not disclosed. Requires 2-4 years of experience, expertise in machine learning, SQL, Python, and AWS SageMaker, plus excellent communication skills.

This role is for an AWS IoT Engineer with a contract length of 3 months, paying £300-£350/day outside IR35. It requires live SC clearance, 3-5 years of AWS IoT experience, and expertise in AWS IoT Core, Greengrass, and Kinesis.

This role is for a Senior Machine Learning Engineer, onsite in Charlotte, NC, for 6+ months, paying $40.00 - $45.00 per hour. Requires expertise in Python, SQL, AWS SageMaker, and modern ML toolkits. Familiarity with Spark is a bonus.

This role is for a Data Scientist with an AI/ML focus, offering a hybrid contract in Houston, TX. Requires expertise in LLMs, NLP, Python, and SQL, along with a graduate degree and experience in cloud services and MLOps. Contract length and pay rate are unspecified.

This role is a long-term contract for a Sr NLP Data Engineer focused on machine/deep learning, requiring 2+ years of experience with ETL pipelines in cloud environments (AWS SageMaker, AzureML), strong Python and SQL skills, and a background in medical applications.