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Lead Machine Learning Engineer 2026- US, UK, COL

Aimpoint Digital • Atlanta, GA

Not Applicable Posted March 14, 2026 Job link

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Responsibilities

Commitments

Responsibilities

As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data.
You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions.
Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations.
As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
As a Lead Data Scientist you will:
Become a trusted advisor working with clients to design end-to-end analytical solutions
Work independently to solve complex data science use-cases across various industries
Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights
Write code in SQL, Python, and Spark following software engineering best practices
Collaborate with stakeholders and customers to ensure successful project delivery
We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems.
You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain.
You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions.
You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment.

Not Met Priorities

What still needs stronger evidence

Requirements

Experience with building high quality Data Science models to solve a client's business problems
Experience with managing stakeholders and collaborating with customers
Strong written and verbal communication skills required
Ability to manage an individual workstream independently
3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.)
Ability to apply data science methodologies and principles to real life projects
Expertise in software engineering concepts and best practices
Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people
Willingness to travel
Understanding of MLOps or LLMOps
Familiarity with Agile methodologies, preferably Scrum

Preferred Skills

Consulting Experience
Databricks Machine Learning Associate or Machine Learning Professional Certification
Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc
Experience with deep learning frameworks like TensorFlow or PyTorch
Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing.
Experience with CI/CD pipelines (e.g., DevOps pipelines, GitHub Actions)
Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles
Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling
Experience with generative AI and LLMs, such as LLamaIndex and LangChain
Understanding of MLOps or LLMOps
Familiarity with Agile methodologies, preferably Scrum

Education

(Not required) – Degree in Computer Science, Engineering, Mathematics, or equivalent experience.

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling.
What You Will Do
As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. As a Lead Data Scientist you will:

Become a trusted advisor working with clients to design end-to-end analytical solutions
Work independently to solve complex data science use-cases across various industries
Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights
Write code in SQL, Python, and Spark following software engineering best practices
Collaborate with stakeholders and customers to ensure successful project delivery
Who We Are Looking For
We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code leveraging key Databricks features. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits:

Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
Experience with building high quality Data Science models to solve a client's business problems
Experience with managing stakeholders and collaborating with customers
Strong written and verbal communication skills required
Ability to manage an individual workstream independently
3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.)
Ability to apply data science methodologies and principles to real life projects
Expertise in software engineering concepts and best practices
Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people
Willingness to travel
Want to stand out?

Consulting Experience
Databricks Machine Learning Associate or Machine Learning Professional Certification
Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc
Experience with deep learning frameworks like TensorFlow or PyTorch
Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing.
Experience with CI/CD pipelines (e.g., DevOps pipelines, GitHub Actions)
Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles
Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling
Experience with generative AI and LLMs, such as LLamaIndex and LangChain
Understanding of MLOps or LLMOps
Familiarity with Agile methodologies, preferably Scrum
We are actively seeking candidates for full-time, remote work within the US, UK or Colombia.