{"id":3768490,"url":"https://alion.io/job/endava-machine-learning-engineer-2","title":"Machine Learning Engineer","company":{"id":6702,"name":"Endava","domain":"endava.com","url":"https://alion.io/company/endava","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":28,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Buenos Aires, Argentina"],"countries":["AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"gRPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Feast","optional":true},{"name":"Feature Store","optional":true},{"name":"MLFlow","optional":true}],"status":"live","first_seen_at":"2026-11-04T17:28:34Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T20:06:01Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.\nBy combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.\nFrom prototype to real-world impact - be part of a global shift by doing work that matters.\n We are seeking ML Engineers to take machine learning models into production for our new mobile trading app. They will deploy, operate and monitor the models, and build the data pipelines those models depend on.\nWhat they will do\nDeploy models as reliable, low-latency services consumed by the mobile app backend\nBuild and schedule feature pipelines, including daily refresh of customer-level scores\nIntegrate an external market-news feed (e.g. Refinitiv/LSEG) and product analytics data (Amplitude, in-app video engagement) into our data warehouse\nImplement model monitoring, drift detection, alerting and retraining workflows\nEstablish deployment patterns, CI/CD and testing standards for ML in our production environment\nDocument everything needed for long-term ownership and deliver a handover plan\n Must have\n4+ years in software or ML engineering, with models running in production\nStrong Python; model serving via REST/gRPC APIs, Docker and Kubernetes or equivalent\nAWS experience (e.g. S3, compute, managed ML services)\nData pipelines and orchestration (Airflow or similar), including third-party API integration\nCI/CD, infrastructure-as-code and observability tooling\nExperience in high-availability environments where outages affect customers\nNice to have\nFinancial services, brokerage or other regulated-industry experience\nFeature stores and ML platforms (e.g. MLflow, SageMaker, Feast)\nMarket data or financial news feeds\n Discover some of the global benefits that empower our people to become the best version of themselves:\nFinance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; \nCareer Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;\nLearning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;\nWork-Life Balance: Hybrid work and flexible working hours, employee assistance programme;\nHealth: Global internal wellbeing programme, access to wellbeing apps;\n Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.\nAt Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives-because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.","description_format":"text","description_chars":3331,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Hybrid work"],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-11-04T20:51:39Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":26,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-06T05:58:05Z"},"pay":null,"html_url":"https://alion.io/job/endava-machine-learning-engineer-2","json_url":"https://alion.io/job/endava-machine-learning-engineer-2.json","meta":{"generated_at":"2026-11-06T23:58:41Z","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":4191,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"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":6702},"rest":"https://alion.io/mcp/rest/get_company?id=6702"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fendava-machine-learning-engineer-2"},{"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%2Fendava-machine-learning-engineer-2"},{"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%2Fendava-machine-learning-engineer-2"},{"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/endava-machine-learning-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fendava-machine-learning-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3768490}},{"tool":"search_jobs","arguments":{"company":"endava.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3768490},"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"}}