{"id":3134828,"url":"https://alion.io/job/mindtrace-graduate-ml-deployment-engineer","title":"GRADUATE ML DEPLOYMENT ENGINEER","company":{"id":28622,"name":"Mindtrace","domain":"mindtrace.ai","url":"https://alion.io/company/mindtrace","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manchester, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":96000,"max_usd":214000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":370},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Docker","optional":true}],"status":"live","first_seen_at":"2026-08-24T19:16:24Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-25T15:34:09Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"ABOUT US:\nWe’re an AI-focused startup, led by experienced entrepreneurs and supported by leading investors. We are building brain-inspired, intelligent systems to maximally exploit the functionality and performance of compute devices in smart manufacturing applications. Our trademarked technology continuously learns new use cases from unlabelled data using only a few reference examples.\nThis is an incredibly exciting time to join the company, as we scale across multiple customers and industry domains from automotive, aerospace, defence to heavy industries.\nWe are based in central Manchester. We offer competitive salaries and benefits.\nROLE\nWe are seeking a Graduate ML Deployment Engineer to join our machine learning and deployment team. This is a deployment-focused machine learning role, working closely with our data, engineering and customer teams to take machine learning models from development into production systems running 24×7.\nThe role will involve:\nTraining and retraining machine learning models using real-world production data.\nTraining machine learning models to help setup new inspection lines.\nEvaluating model performance using appropriate ML metrics and production data.\nAnalysing model failures and identifying opportunities for improvement.\nWorking with the data team to understand data quality, distribution shifts, difficult cases and model failure modes.\nTranslating findings from production data into improvements to models, training data and evaluation processes.\nPreparing ML models for production deployment and working with engineering teams to integrate them into production systems.\nOptimising models for inference performance, reliability and deployment constraints.\nMonitoring model performance following deployment and supporting continuous improvement.\nWorking across ML development, data operations and deployment to ensure models perform reliably in real-world manufacturing environments.\nThis is an ideal role for someone who enjoys practical machine learning, solving problems with real-world data, and understanding the complete journey from model training to production deployment.\nWHAT DO WE OFFER:\nMarket competitive compensation package\nCompany pension\nHybrid friendly work environment\nGrowth opportunity at an early-stage startup\nESSENTIAL:\nVision machine learning experience\nAbility to train (and retrain) custom ML models from real world data\nFamiliarity with image data and interest in computer vision applications\nML Ops and model deployment\nStrong communication skills and ability to collaborate across technical and non-technical teams.\nProficient in English (written and verbal)\nAvailable to work from Manchester office (minimum 3 days in the office Tue-Thurs mandatory)\nNICE TO HAVE:\nExperience with multiple Vision ML models\nML deployment to registries\nDocker experience\nBasic understanding of manufacturing processes or defect types in industrial components.\nInterest in AI-driven visual inspection and data-centric AI development.\nWe are an equal opportunity employer. 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