---
title: 'Lead ML/AI Platform Engineer (EU, EMEA Remote) at SavvyMoney'
canonical: 'https://feeny.ai/job/lead-ml-ai-platform-engineer-eu-emea-remote-savvymoney-europe-rbg28jve0xfx'
type: 'job'
last_seen: '2026-09-05'
---

# Lead ML/AI Platform Engineer (EU, EMEA Remote) at SavvyMoney

- **Company:** SavvyMoney
- **Location:** Europe
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-21
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/savvymoney/f1d6d55f-949d-43a4-9e78-8927a5afdaae

## Job description

SavvyMoney is a US based leading financial technology company. We provide integrated credit score and personal finance solutions to 1,600 + bank and credit union partners throughout the United States. The SavvyMoney solutions integrate with more than 43 digital banking platforms.

SavvyMoney was recently recognized by the San Francisco Business Times and the Silicon Valley Journal as one of the "Top 25 Places to Work in the San Francisco Bay Area" and is an Inc. 5000 Fastest Growing Company.

Our company is growing and we are looking for Independent Senior Data Engineer Contractors to help support the growth.

**This Independent Contractor will work 100% Remotely from your home office in Warsaw, Poland as part of a distributed team in the USA, Canada, Europe and several locations in India.

We are growing our team and looking for a Lead ML/AI Platform Engineer.

## JOB DESCRIPTION

## OVERVIEW

As a Lead ML/AI Platform Engineer at SavvyMoney, you will own the platform that takes machine learning from experiment to production — training infrastructure, model serving, inference pipelines, and the integration seams with our Java microservices.

You will set technical direction for AI/ML across the company alongside our Data Platform Architect, and drive the engineering side of our GenAI/LLM and agent strategy — from retrieval architectures and evaluation harnesses to the guardrails required to run agentic workflows responsibly in a regulated environment.

## WHAT YOU'LL DO

- Partner with our Data Platform Architect to set technical direction for AI/ML across the company — architecture, tooling, standards, and build-vs-buy decisions.
- Own the ML/AI platform: training infrastructure, model serving, inference pipelines, and production integration.
- Feature engineering, model training, model registry, and hosted inference in Amazon SageMaker
- GenAI/LLM usage, fine-tuning, and agentic workflows in Amazon Bedrock and AgentCore
- Feedback and data pipelines built on AWS Glue, Lambda, and Step Functions
- Own the serving layer and integrate ML services cleanly with our Java microservices — define the API contracts and make the latency and throughput trade-offs.
- Drive the engineering side of our GenAI/LLM strategy: retrieval architectures, evaluation harnesses, serving patterns, and the judgment calls about which approach fits which problem.
- Bring depth on the emerging agent stack — MCP, agent workflow patterns, stateless and stateful designs, and the guardrails needed to run them responsibly in a regulated environment.
- Partner with our Data Scientist on the handoff from experimentation to production: productionize models, stand up the feature pipelines and serving infrastructure they need, and shorten the loop between training and deployment.
- Work with product, data, and engineering leadership to identify the highest-impact ML opportunities and translate them into roadmaps.
- Represent the AI/ML function in cross-functional forums, communicating trade-offs clearly to technical and non-technical audiences alike.

## WHAT WE'RE LOOKING FOR

Required

- 8+ years in software or ML engineering, including 5+ years shipping production ML systems and a track record of owning ambiguous, high-scope problems end to end.
- Demonstrated technical leadership: you've shaped the ML strategy of a team or organization, mentored senior engineers, and been the person others rely on for difficult architectural calls.
- Hands-on experience with both operating models we use:
- AWS managed ML stack: Amazon SageMaker (training, tuning, hosted endpoints, model registry), Amazon Bedrock, and AgentCore for GenAI and agentic workflows.
- Open-source ML tooling: JupyterLab for notebooks, Spark for distributed processing, MLflow for experiment tracking and model registry.
- Deep working knowledge of the AWS stack — S3, Athena, Redshift, Glue, Step Functions, Lambda — plus SQL skills strong enough to model data for both analytical and ML workloads.
- Production experience with GenAI/LLMs: RAG, prompt engineering, evaluation, and a clear grasp of the cost, latency, and safety trade-offs involved.
- Familiarity with vector databases (e.g., pgvector, Pinecone) and sound judgment on when they're warranted versus alternatives such as NoSQL retrieval.
- Working knowledge of Java sufficient to review service code, define API contracts, and debug integration issues with our microservices.
- Deep expertise in Python and the core ML stack: scikit-learn, pandas, NumPy, PyTorch and/or TensorFlow, XGBoost / LightGBM.
- Solid MLOps fundamentals — model monitoring, drift detection, reproducibility, experiment tracking, model registry, and cost observability — plus the ability to partner with DevOps on CI/CD rather than build it from scratch.
- Excellent written and verbal communication — you can write both the design doc that aligns a dozen engineers and the one-pager that aligns the exec team.
- Strong collaborator, comfortable operating in a role where scope is shared: you'll partner with a Data Scientist on models and DevOps on infrastructure, and you can navigate those seams while keeping clear ownership.
- Ability to operate as an independent contractor through your own entity or an approved contracting arrangement, with reliable overlap with US Pacific business hours for architecture reviews and cross-team work.

## Nice to Have

- Experience with ClickHouse or a comparable columnar / real-time analytical database.
- Fine-tuning experience (LoRA / QLoRA, instruction tuning, or RLHF).
- Streaming and real-time inference experience (Kafka, Kinesis, low-latency serving).
- Infrastructure-as-code (Terraform, AWS CDK, CloudFormation).
- Experience operating ML systems at meaningful scale — hundreds of millions of predictions per day, or equivalent.
- Open-source contributions, conference talks, papers, or patents in ML / applied ML.

## WHO YOU'LL WORK WITH

- Data Scientist — leads feature engineering, model training, fine-tuning, and experimentation. You'll partner on the research-to-production handoff, stand up the infrastructure they need, and jointly own the quality of what ships.
- DevOps — owns CI/CD, deployment infrastructure, and platform observability. You'll partner on ML-specific extensions (model artifacts, reproducible environments, canary and shadow deployments) rather than rebuilding what already exists.
- Backend engineers — own the Java microservices that consume ML outputs. You'll define the contracts and own the serving side.
- Product and engineering leadership — you're the technical voice on what we should build with AI/ML, and how.

## OUR STACK

- Distributed processing: AWS Glue
- Orchestration: AWS Lambda, AWS Step Functions
- Managed ML: Amazon SageMaker, Amazon Bedrock, AgentCore
- Open-source ML: JupyterLab, Spark, MLflow
- Storage & query: Amazon S3 (data lake), Amazon Athena, Amazon Redshift, ClickHouse
- Languages: Python (ML, pipelines), Java (microservices)

## Why This Role Matters

Credit data is the core of what we do, and the opportunity to make it smarter — better offer targeting, better personalization, better insight for 1,600+ financial institutions and the consumers they serve — runs directly through the ML platform. Today that platform is early. You will be the person who defines what it becomes.

Your decisions on architecture, tooling, and evaluation will set the ceiling on what every ML-driven feature at SavvyMoney can do for years.

Join us at SavvyMoney and help build the AI foundation of a platform trusted by 1,600+ banks and credit unions.

Additionally we provide

- Equity Compensation Package
- Flexible Time Off (FTO) - take time off as needed to rest and recharge.
- Medical, Dental, Vision – 100% premium paid for employee
- Disability/Life Insurance
- Opportunity for learning and career growth with a top Bay Area technology company
- Reimbursement for remote work setup
- Monthly stipend for phone and internet
- Team building events, culture activities, all hands events
- Paid time off to volunteer and serve the community
- Half day Fridays
- 401k matching contribution
- Beautiful California East Bay offices in Dublin, CA

SavvyMoney’s EEO Statement

SavvyMoney relies on diversity of culture and thought to deliver on our goal of Creative People, Practical solutions serving our client needs, and ensures nondiscrimination in all programs and activities. We continuously seek talented, qualified employees in our operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. SavvyMoney is proud to be an Equal Employment Opportunity/ Affirmative Action Employer.

We are committed to protecting your data. To learn more, please review the SavvyMoney Employee Privacy Policy Notice here https://www.savvymoney.com/employee-privacy-policy/

## About SavvyMoney

## Company Overview
- **One-liner**: SavvyMoney provides a financial wellness and credit score platform that helps banks, credit unions, and fintechs engage consumers with personalized credit insights, monitoring, and pre-qualified offers.
- **Entity Type**: Private (Growth Equity – last round raised $225M in ~March 2025, total raised $273.78M)
- **Headquarters**: Dublin, California, United States
- **Founded**: 2009 (originally as GoalSpring Financial)
- **Founders**: Not publicly named on the company website; the leadership page lists President & CEO JB Orecchia as the current leader, but founder identity is not disclosed.

## Core Business
- **Primary industry**: Financial Services / Fintech – Credit Scoring, Financial Wellness, Embedded Finance
- **Target customers**: B2B – Banks, Credit Unions, and Fintech companies (over 1,600 financial institution partners)
- **Mission**: “Empower financial well-being through innovation and partnership.”  
- **Vision**: “Financial Freedom for All.”

## Products & Services
- **Credit Score & Monitoring Platform (SaaS)**: Provides consumers with free daily credit score access, full credit report, real-time monitoring alerts, and personalized financial tips. Integrates with 35+ digital banking platforms.
- **Personalized Pre-qualified Offers (SaaS)**: Uses credit insights to surface relevant loan and deposit offers (e.g., credit cards, personal loans) within the institution’s digital channels, aiming to increase funded accounts.
- **Account Opening Solution**: A streamlined, multi-channel account opening workflow for online, mobile, and in-branch environments.
- **Data & Analytics Dashboard**: Provides financial institutions with behavioral insights, wallet-share gaps, and performance metrics to measure engagement and ROI.
- **Financial Checkup & Credit Goals**: Interactive tools that help consumers set goals and track progress toward better financial health.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Key Metric**: Total funding raised – $273.78M (latest round: Growth Equity of $225M, reported March 2025 on CB Insights).
- **Notable Investors/Partners**: Board members include representatives from **Spectrum Equity** (Managing Director) and **PSG** (Managing Director). Advisory board includes Jean Chatzky (personal finance expert) and former Fiserv Group President. No named lead investor for the latest round in the provided sources.
- **Growth Signals**:
  - Ranked No. 1976 on the **2024 Inc. 5000** list of fastest-growing private companies (#109 in Financial Services, #77 in San Francisco area).
  - Named **Best Embedded Finance Solution** at the 2026 Banking Tech Awards USA.
  - Over 1,600 financial institution partners.
  - Headcount is not precisely stated, but the careers page lists 12 open positions across Engineering, Product, Business Intelligence, Sales, and Operations.

## Competitive Advantages
- **Platform Integration**: Deeply embedded within the digital banking experience via integration with 35+ major banking platforms, making it sticky for institutions.
- **White-glove Marketing Support**: Not just a technology provider – SavvyMoney offers marketing services to help FIs drive engagement and adoption.
- **Award-Winning Innovation**: Recognized for embedded finance capabilities (2026 Banking Tech Award), indicating strong product differentiation.
- **Patented Technology**: Has filed at least one patent for “Automated user matching using dynamic product parameters,” suggesting a proprietary matching algorithm for offers.

## Strategic Focus
- **Deepening embedded finance capabilities** – seamlessly moving consumers from insight (credit score) to action (pre-qualified offer) within the same digital channel.
- **Expanding analytics** – using data to help FIs identify wallet-share gaps and measure ROI, driving deposit and loan growth.
- **Growing partner ecosystem** – continuing to build integrations and relationships with credit unions, banks, and fintechs.
- **Product innovation** – recently launched “Credit Score Action Plan,” “Credit Goals,” and “Financial Checkup” to enhance consumer engagement.

## Why Work Here
- **Culture & Values**: Guided by the “SavvySeven” core values (Love What You Do, Think Smart, Break Barriers, Trust in the Team, Live Your Truth, Listen & Learn, Be Amazing). Described as “work hard, play hard” with a focus on collaboration and innovation.
- **Recognition**: Named a **Best Place to Work** (Bay Area top 25), plus inc.5000 fastest-growing list – signals a growing, well-regarded employer.
- **Remote & Hybrid Flexibility**: Workforce spans the entire US and also has an office in India. Open positions are listed as either Hybrid (Dublin, CA) or Fully Remote (US Remote). Company states: “Do you prefer to work from home or in an office? We have both!”
- **Engineering & Product Culture**: Active hiring for Senior Software Engineers, Data Scientists (AI/ML), Product Owners, and Business Intelligence analysts. Technology roles emphasize backend (Java, React, data science) and fintech domain expertise.
- **Notable Perks**: Not explicitly detailed in provided sources, but the careers page implies a collaborative environment with growth opportunities.

## Sources
1. [savvymoney.com](https://www.savvymoney.com/) – Company homepage, product descriptions, mission/vision.
2. [savvymoney.com/careers](https://www.savvymoney.com/careers/) – Careers page with culture, values, remote/hybrid policy, award recognitions.
3. [savvymoney.com/company/about-us](https://www.savvymoney.com/company/about-us/) – Leadership team, board, history, Inc. 5000 ranking.
4. [cbinsights.com](https://www.cbinsights.com/company/savvymoney) – Funding details, total raised, patent info, headquarters, founding year.
5. [jobs.ashbyhq.com/savvymoney](https://jobs.ashbyhq.com/savvymoney) – Current open positions, departments, locations.

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