{"id":573893,"url":"https://alion.io/job/jpmorganchase-applied-ai-ml-engineer-associate","title":"Applied AI ML Engineer - Associate","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":92,"open_postings":1083,"ghost_share":0.007,"stale_share":0.477,"repost_share":0.061,"time_to_fill_p50_days":9,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Google ADK","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","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":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Amazon S3","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Google Cloud Run","optional":true},{"name":"LangSmith","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"LoRA","optional":true},{"name":"MLFlow","optional":true},{"name":"PEFT","optional":true},{"name":"Transformers","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-23T18:15:56Z","board_verified":true,"closed_at":null,"days_open":44,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":44},"description":"We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionise mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK - but how we do things here is a little different. We're building the bank of the future from scratch, channelling our start-up mentality every step of the way - meaning you'll have the opportunity to make a real impact.\nAs an Applied AI/ML Engineer - Associate at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to contribute to the delivery of end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the delivery and implementation of those solutions.\nOur Applied AI/ML team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them.\nJob responsibilities\nDeliver AI/ML applications and services that improve customer experiences and increase operational efficiency.\nWork across the AI/ML delivery lifecycle: stakeholder requirements, solution design, prototyping, evaluation, deployment support, monitoring, and iteration.\nDevelop Python-based AI/ML solutions on AWS/GCP, contributing production-ready code as part of a delivery team.\nBuild and evaluate AI/LLM solutions, including prompt/RAG patterns and agentic workflows, alongside classical ML where appropriate.\nApply ML techniques to forecasting, segmentation/CLV, causal inference, and other business problems.\nAnalyse large, heterogeneous datasets using SQL to generate insights, validate assumptions, and track impact.\nCollaborate with stakeholders (e.g., product owners, operations management, marketing/acquisition) and cross-functional delivery teams.\nProduce clear documentation, reports, and presentations for technical and non-technical audiences.\nSupport required governance activities, including model/data-use documentation and technical input to risk, privacy, and controls assessments.\nRequired qualifications, capabilities and skills\nFamiliarity with AI/LLM development patterns and frameworks, including prompt engineering, RAG, LangChain/LangGraph and/or Google ADK.\nStrong Python and SQL; able to write clean, production-ready code.\nStrong AI/ML fundamentals, including statistics, probability, linear algebra, and model evaluation.\nExperience with scikit-learn and either PyTorch or TensorFlow.\nPractical DevOps mindset: testing, CI/CD, reproducibility, code quality, and operational awareness.\nExcellent written and verbal communication; able to explain technical trade-offs clearly.\nCollaborative, curious, and comfortable working with ambiguity.\nPreferred qualifications, capabilities and skills\nExperience delivering AI/ML solutions in a regulated financial organisation.\nCloud experience on AWS and/or GCP, with AWS preferred.\nExperience with tools such as S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery, GCS, Cloud Run, or Pub/Sub.\nExperience with AI/ML observability and evaluation tools such as MLflow, LangSmith, LLM-as-a-Judge, guardrails, or production monitoring.\nExposure to fine-tuning or continuous learning techniques, such as PEFT/LoRA.\n#ICBCareers #ICBEngineering","description_format":"text","description_chars":3852,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-09T15:24:18Z"},{"event":"close","at":"2026-09-15T10:59:45Z"},{"event":"reopen","at":"2026-09-15T18:38:51Z"},{"event":"close","at":"2026-09-21T08:08:39Z"},{"event":"reopen","at":"2026-10-06T10:44:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3,429 · green card filings: 933","filings_12m":3429,"filings_prev_12m":3601,"green_card_filings_12m":933,"median_offered_wage_usd":160366,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":2086}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.134,"p_room":0.28,"age_days":44,"expected_fill_days":9,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/jpmorganchase-applied-ai-ml-engineer-associate","json_url":"https://alion.io/job/jpmorganchase-applied-ai-ml-engineer-associate.json","meta":{"generated_at":"2026-10-23T19:41:17Z","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":776,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":257},"rest":"https://alion.io/mcp/rest/get_company?id=257"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjpmorganchase-applied-ai-ml-engineer-associate"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fjpmorganchase-applied-ai-ml-engineer-associate"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fjpmorganchase-applied-ai-ml-engineer-associate"},{"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/jpmorganchase-applied-ai-ml-engineer-associate\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjpmorganchase-applied-ai-ml-engineer-associate"}]}