Job description
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 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.
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