About Quantiphi:
* Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
* Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.
* Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We have been recognized with:
* 17x Google Cloud Partner of the Year awards in the last 8 years
* 3x AWS AI/ML award wins
* 3x NVIDIA Partner of the Year titles
* 2x Snowflake Partner of the Year awards
* Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms
* We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators
* We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
For more details, visit: Website or LinkedIn Page.
Role: Sr Machine Learning Engineer
Experience Level: 5+ years
Employment type: Full Time
Location: Remote (UK)
Job Summary
We are seeking a Sr Machine Learning Engineer to join our growing team. In this role, you will design, develop, evaluate, and deploy traditional machine learning models and solutions to solve real-world business problems. You’ll work closely with cross-functional teams including Data Science, Software Engineering, and Product to translate analytical insights into scalable production systems. This is an exciting opportunity for a data-savvy individual with a strong business acumen to make a significant impact on our customer retention and long-term success.
Key Responsibilities:
* Design, train, validate, and optimize classical ML models (e.g., regression, decision trees, random forests, gradient boosting) for structured and semi-structured data.
* Perform feature engineering, model selection, hyperparameter tuning, and evaluation using tools like scikit-learn, XGBoost, LightGBM.
* Build robust data preprocessing pipelines and scalable workflows for model training and inference.
* Collaborate on the development of agentic AI components — systems capable of autonomously planning, adapting, and executing tasks toward high-level goals with limited human oversight.
* Integrate classical machine learning models into agentic AI workflows where predictive capabilities inform planning, decision-making, and action selection.
* Develop and evaluate interfaces between agentic components and external tools, APIs, or systems to enable real-world actions.
* Work closely with data engineers, software developers, product owners, and domain experts to translate analytical insights into operational workflows.
* Document model development, deployment decisions, and agentic AI design choices.
* Contribute to best practices in ML lifecycle management and agentic system governance.
* Experience with other GCP services like Cloud Storage, Dataflow, or Vertex AI is a plus.
Required Skills & Qualifications:
* Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline.
* 5 years of progressive experience in data analysis, business intelligence, or data science roles.
What is in it for you:
* Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
* Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
* Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
* Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.