Machine Learning Lead
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Machine Learning Lead driving AI initiatives for LexisNexis Legal & Professional, delivering scalable, robust solutions with hands-on leadership and mentoring.
Responsibilities:
- Researching the applicability of cutting-edge AI technology in our features.
- You will work across multiple technologies around a core including: Python, AWS (EKS, S3, RDS, Terraform, etc.), AI/ML/Data Science libraries (Google ADK, pandas, faiss, etc.)
- Developing reusable AI evaluation frameworks.
- Designing agentic AI systems.
- Delivering AI powered features.
- Creating performance- and cost-optimised services.
- Helping to build AWS platform infrastructure with Terraform, such as RDS instances or EKS clusters.
- Mentoring less senior developers on coding best practices (TDD with pytest, Pythonic code, etc.)
- Writing and reviewing portions of detailed specifications for the development of moderately complex system components.
- Participating in development processes, and code reviews.
- Operating in a Scrum based development environment while collaborating with stakeholders.
- All other duties as assigned
Requirements:
- Experience working with a modern Python codebase.
- Experience with AWS or similar cloud providers, including knowledge of IaC solutions.
- Understanding Software Engineering techniques and processes.
- Strong interpersonal, communication, and presentation skills applicable to a wide audience.
- Experience with GenAI and agentic AI.
- Experience with Azure Pipelines & Terraform is desirable, but not essential.
Benefits:
- Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
- Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
- Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
Similar Jobs
Senior Manager – Machine Learning
Senior Manager leading the Machine Learning team to enhance CCC’s subrogation products. Collaborating with stakeholders and delivering innovative AI solutions in the insurance technology space.
Senior AI/ML Engineer
Senior AI/ML Engineer designing and implementing workflows leveraging LLMs at iBusiness. Collaborating with cross-functional teams to develop scalable AI-driven solutions.
Machine Learning Engineer – Mid-level
Machine Learning Engineer responsible for developing and operating scalable ML solutions at Extractta. Collaborating with product, data, and engineering teams to deliver robust models.
Senior Machine Learning Engineer
Senior Machine Learning Engineer at IQVIA leading ML applications design focusing on generative AI solutions. Collaborating with teams and guiding development of production-grade algorithms.
Senior Machine Learning Engineer
Senior Machine Learning Engineer developing core ML models and data pipelines for a gaming company. Seeking an autonomous engineer with deep passion for video games.
Machine Learning Engineer
Machine Learning Engineer developing AI safety solutions at Gray Swan. Focus on real-world impact in adversarial testing and model evaluation.
Staff Machine Learning Engineer – Generative AI, Full-Stack Applications
Senior Machine Learning Engineer developing AI solutions and full-stack applications for CVS Health. Collaborating with teams to design and prototype secure, resilient products and platform components.
Senior Machine Learning Engineer – Consultant
Senior AI/ML Engineer Consultant responsible for implementing AI solutions and mentoring juniors at leading AI consultancy Provectus. Join to solve complex technical challenges and impact enterprise clients.
Machine Learning Engineer
Machine Learning Engineer designing and evaluating deep learning models for agricultural robotics applications. Collaborating with engineers and product teams to enhance model performance in real-world scenarios.
Senior Machine Learning Engineer – AI Product
Machine Learning Engineer for AI Product team at Qonto, developing customer-facing AI solutions. Collaborating with stakeholders and ensuring integration of ML solutions into financial services.
ML Engineer – Agents, Data
Senior ML Engineer for AI product development in a leading social discovery company. Working on large-scale ML systems and cutting-edge generative AI technologies.
Senior MLOps
MLOps role enhancing ML infrastructure and deployment for a global travel-tech company. Focus on managing ML services and optimizing resources in a fully remote setup.
MLOps Engineer
ML Ops Engineer designing and maintaining ML workflows using AWS services. Collaborating with data scientists to ensure reliable and scalable models in production.
Senior ML Engineer
Senior AI Engineer contributing to AI engineering teams at Relativity. Design and develop scalable AI systems, collaborating with cross-functional teams and driving engineering excellence.
AI/ML Engineer
AI/ML Engineer developing AI solutions for professional services firms. Working on production models and real data to enhance client relationships.
Machine Learning Engineer
Machine Learning Engineer developing AI capabilities within Zillow’s Agentic AI team. Focusing on production-grade systems that enhance real estate experiences through advanced reasoning.
Senior Machine Learning Engineer – ML/AI Team
Senior Machine Learning Engineer at A Place for Mom focused on developing ML and AI solutions. Designing and implementing advanced AI models to drive business impact using unstructured data.
Senior Machine Learning Engineer
Senior Machine Learning Engineer responsible for the full ML lifecycle at Button. Collaborating with data teams to build systems that integrate machine learning into commerce and monetization products.
Senior Machine Learning Engineer
Senior Machine Learning Engineer developing AI solutions for customer service at Replicant. Leading exploration of Large Language Models and Generative AI for innovative user experiences.
Staff Machine Learning Scientist – Translational AI
Staff Machine Learning Scientist providing technical leadership in biomedical AI at Natera. Responsible for leveraging ML models for high-impact translational problems in healthcare.