{"id":3815571,"url":"https://alion.io/job/txp-talent-data-ml-engineer","title":"Data / ML Engineer","company":{"id":4416608,"name":"TXP Talent","domain":"txptalent.co.uk","url":"https://alion.io/company/txptalent","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Great Expectations","optional":false},{"name":"MLFlow","optional":false},{"name":"Scrum","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-11-05T11:23:54Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T06:07:35Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"SUMMARY:\nAs a Data / ML Engineer, you’ll combine hands-on data analysis, data engineering and applied data science to build and improve production ML solutions. You’ll work closely with Product Owners to understand what they want to learn or improve, explore the data and propose experiments. You’ll also collaborate with Data Scientists and Engineers to build and maintain the pipelines that support these solutions in production.\nWHAT WILL YOU BE DOING:\nAnalyse data to answer product questions. Explore datasets, identify trends and anomalies, and communicate findings that help Product Owners make decisions.\nWork with Product Owners to shape experiments. Clarify requirements, translate product questions into testable hypotheses, suggest experiments and help define how to measure success and interpret results.\nBuild and maintain end-to-end ML pipelines. Cover ETL, feature engineering, model training, deployment, batch scoring, API-based inference and monitoring.\nWork with our data and ML stack. Use AWS SageMaker, AWS Glue, AWS Lambda, MLflow, Spark and Airflow, with Great Expectations for data quality where appropriate.\nCollaborate with Data Scientists and Engineers. Improve how models are developed, deployed and operated in production. Work in an Agile Scrum environment and apply practices such as TDD and DDD where appropriate.\nWHAT WE ARE LOOKING FOR:\nHands-on experience across data engineering and applied data science, with the ability to move between exploratory analysis, experimentation and production pipeline development.\nStrong data analysis skills, including the ability to investigate datasets, interpret findings and explain what they mean for product decisions.\nExperience working directly with Product Owners to understand requirements, propose experiments and define success metrics.\nStrong experience building end-to-end production ML pipelines, covering ETL, feature engineering, model training, deployment, serving and monitoring.\nProficiency with AWS SageMaker, AWS Glue and AWS Lambda, plus hands-on experience with MLflow, Spark and Airflow.\nClear communication and effective collaboration with Product Owners, Data Scientists and Engineers.\nAWESOME BUT NOT REQUIRED:\nExperience with Google Vertex AI.\nFamiliarity with the Great Expectations Framework for data quality.\nProven experience working in Agile Scrum environments and practising TDD and DDD.\nWHAT’S IN IT FOR YOU?\nBe part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture\nA culture in which we don’t criticise failure but ensure we learn from our mistakes\nAn Agile environment where your ideas are welcome\nThe possibility to grow and experience different projects\nOngoing Training & Mentoring\nThe possibility to travel\n- ATTENTION! THIS POSITION IS FOR PORTUGAL OR BRAZIL BASED ONLY","description_format":"text","description_chars":2871,"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":[],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-11-05T15:54:09Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":34,"reasons":["conf:4","velocity","win:early"],"computed_at":"2026-11-06T05:58:05Z"},"pay":null,"html_url":"https://alion.io/job/txp-talent-data-ml-engineer","json_url":"https://alion.io/job/txp-talent-data-ml-engineer.json","meta":{"generated_at":"2026-11-06T06:53:11Z","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":12188,"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":4416608},"rest":"https://alion.io/mcp/rest/get_company?id=4416608"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftxp-talent-data-ml-engineer"},{"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%2Ftxp-talent-data-ml-engineer"},{"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%2Ftxp-talent-data-ml-engineer"},{"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/txp-talent-data-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftxp-talent-data-ml-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3815571}},{"tool":"search_jobs","arguments":{"company":"txptalent.co.uk","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3815571},"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"}}