{"id":749802,"url":"https://alion.io/job/savvymoney-lead-mlai-platform-engineer-eu-emea-remote","title":"Lead ML/AI Platform Engineer (EU, EMEA Remote)","company":{"id":687319,"name":"SavvyMoney","domain":"savvymoney.com","url":"https://alion.io/company/savvymoney","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CY","CZ","DK","FI","HU","IE","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":32,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":272000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1286},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Java","optional":false},{"name":"LightGBM","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NumPy","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS CDK","optional":true},{"name":"ClickHouse","optional":true},{"name":"CloudFormation","optional":true},{"name":"LoRA","optional":true},{"name":"PEFT","optional":true},{"name":"PostgreSQL","optional":true},{"name":"QLoRA","optional":true},{"name":"RLHF","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-21T14:54:55Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-11-12T04:33:05Z","board_verified":true,"closed_at":null,"days_open":82,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":82},"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.\nSavvyMoney 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.\nOur company is growing and we are looking for Independent Senior Data Engineer Contractors to help support the growth.\n**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.\nWe are growing our team and looking for a Lead ML/AI Platform Engineer.\nJob Description\nOverview\nAs 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.\nYou 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.\nWhat You'll Do\nPartner with our Data Platform Architect to set technical direction for AI/ML across the company - architecture, tooling, standards, and build-vs-buy decisions.\n\nOwn the ML/AI platform: training infrastructure, model serving, inference pipelines, and production integration.\nFeature engineering, model training, model registry, and hosted inference in Amazon SageMaker\n\nGenAI/LLM usage, fine-tuning, and agentic workflows in Amazon Bedrock and AgentCore\n\nFeedback and data pipelines built on AWS Glue, Lambda, and Step Functions\n\nOwn the serving layer and integrate ML services cleanly with our Java microservices - define the API contracts and make the latency and throughput trade-offs.\n\nDrive the engineering side of our GenAI/LLM strategy: retrieval architectures, evaluation harnesses, serving patterns, and the judgment calls about which approach fits which problem.\n\nBring 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.\n\nPartner 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.\n\nWork with product, data, and engineering leadership to identify the highest-impact ML opportunities and translate them into roadmaps.\n\nRepresent the AI/ML function in cross-functional forums, communicating trade-offs clearly to technical and non-technical audiences alike.\n\nWhat We're Looking For\nRequired\n8+ 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.\n\nDemonstrated 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.\n\nHands-on experience with both operating models we use:\nAWS managed ML stack: Amazon SageMaker (training, tuning, hosted endpoints, model registry), Amazon Bedrock, and AgentCore for GenAI and agentic workflows.\n\nOpen-source ML tooling: JupyterLab for notebooks, Spark for distributed processing, MLflow for experiment tracking and model registry.\n\nDeep 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.\n\nProduction experience with GenAI/LLMs: RAG, prompt engineering, evaluation, and a clear grasp of the cost, latency, and safety trade-offs involved.\n\nFamiliarity with vector databases (e.g., pgvector, Pinecone) and sound judgment on when they're warranted versus alternatives such as NoSQL retrieval.\n\nWorking knowledge of Java sufficient to review service code, define API contracts, and debug integration issues with our microservices.\n\nDeep expertise in Python and the core ML stack: scikit-learn, pandas, NumPy, PyTorch and/or TensorFlow, XGBoost / LightGBM.\n\nSolid 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.\n\nExcellent 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.\n\nStrong 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.\n\nAbility 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.\n\nNice to Have\nExperience with ClickHouse or a comparable columnar / real-time analytical database.\n\nFine-tuning experience (LoRA / QLoRA, instruction tuning, or RLHF).\n\nStreaming and real-time inference experience (Kafka, Kinesis, low-latency serving).\n\nInfrastructure-as-code (Terraform, AWS CDK, CloudFormation).\n\nExperience operating ML systems at meaningful scale - hundreds of millions of predictions per day, or equivalent.\n\nOpen-source contributions, conference talks, papers, or patents in ML / applied ML.\n\nWho You'll Work With\nData 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.\n\nDevOps - 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.\n\nBackend engineers - own the Java microservices that consume ML outputs. You'll define the contracts and own the serving side.\n\nProduct and engineering leadership - you're the technical voice on what we should build with AI/ML, and how.\n\nOur Stack\nDistributed processing: AWS Glue\n\nOrchestration: AWS Lambda, AWS Step Functions\n\nManaged ML: Amazon SageMaker, Amazon Bedrock, AgentCore\n\nOpen-source ML: JupyterLab, Spark, MLflow\n\nStorage & query: Amazon S3 (data lake), Amazon Athena, Amazon Redshift, ClickHouse\n\nLanguages: Python (ML, pipelines), Java (microservices)\nWhy This Role Matters\nCredit 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.\nYour decisions on architecture, tooling, and evaluation will set the ceiling on what every ML-driven feature at SavvyMoney can do for years.\nJoin us at SavvyMoney and help build the AI foundation of a platform trusted by 1,600+ banks and credit unions.\n\nAdditionally we provide\nEquity Compensation Package\n\nFlexible Time Off (FTO) - take time off as needed to rest and recharge.\n\nMedical, Dental, Vision - 100% premium paid for employee\n\nDisability/Life Insurance\n\nOpportunity for learning and career growth with a top Bay Area technology company\n\nReimbursement for remote work setup\n\nMonthly stipend for phone and internet\n\nTeam building events, culture activities, all hands events\n\nPaid time off to volunteer and serve the community\n\nHalf day Fridays\n\n401k matching contribution\n\nBeautiful California East Bay offices in Dublin, CA\n\nSavvyMoney’s EEO Statement\nSavvyMoney 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.\nWe are committed to protecting your data. To learn more, please review the\nSavvyMoney Employee Privacy Policy Notice here","description_format":"text","description_chars":8872,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Flexible time off","Home office","Life insurance"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"region"},{"name":"France","iso":"FR","kind":"region"},{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Austria","iso":"AT","kind":"region"},{"name":"Belgium","iso":"BE","kind":"region"},{"name":"Bulgaria","iso":"BG","kind":"region"},{"name":"Croatia","iso":"HR","kind":"region"},{"name":"Cyprus","iso":"CY","kind":"region"},{"name":"Czech Republic","iso":"CZ","kind":"region"},{"name":"Denmark","iso":"DK","kind":"region"},{"name":"Finland","iso":"FI","kind":"region"},{"name":"Hungary","iso":"HU","kind":"region"},{"name":"Ireland","iso":"IE","kind":"region"},{"name":"Italy","iso":"IT","kind":"region"},{"name":"Netherlands","iso":"NL","kind":"region"},{"name":"Norway","iso":"NO","kind":"region"},{"name":"Poland","iso":"PL","kind":"region"},{"name":"Romania","iso":"RO","kind":"region"},{"name":"Spain","iso":"ES","kind":"region"},{"name":"Sweden","iso":"SE","kind":"region"},{"name":"Switzerland","iso":"CH","kind":"region"},{"name":"Estonia","iso":"EE","kind":"region"},{"name":"Greece","iso":"GR","kind":"region"},{"name":"Iceland","iso":"IS","kind":"region"},{"name":"Latvia","iso":"LV","kind":"region"},{"name":"Liechtenstein","iso":"LI","kind":"region"},{"name":"Lithuania","iso":"LT","kind":"region"},{"name":"Luxembourg","iso":"LU","kind":"region"},{"name":"Malta","iso":"MT","kind":"region"},{"name":"Portugal","iso":"PT","kind":"region"},{"name":"Slovakia","iso":"SK","kind":"region"},{"name":"Slovenia","iso":"SI","kind":"region"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Software & Embedded Finance","Personal Finance Apps & Education"],"lifecycle":[{"event":"open","at":"2026-09-11T15:26:29Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.551,"p_room":0.28,"age_days":81,"expected_fill_days":29,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-11-11T05:49:22Z"},"pay":null,"html_url":"https://alion.io/job/savvymoney-lead-mlai-platform-engineer-eu-emea-remote","json_url":"https://alion.io/job/savvymoney-lead-mlai-platform-engineer-eu-emea-remote.json","meta":{"generated_at":"2026-11-12T04:47:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10448,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":687319},"rest":"https://alion.io/mcp/rest/get_company?id=687319"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsavvymoney-lead-mlai-platform-engineer-eu-emea-remote"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsavvymoney-lead-mlai-platform-engineer-eu-emea-remote"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsavvymoney-lead-mlai-platform-engineer-eu-emea-remote"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/savvymoney-lead-mlai-platform-engineer-eu-emea-remote\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsavvymoney-lead-mlai-platform-engineer-eu-emea-remote"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":749802}},{"tool":"search_jobs","arguments":{"company":"savvymoney.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":749802},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}