{"id":4017455,"url":"https://alion.io/job/recruitment-room-senior-machine-learning-engineer-msc-or-phd-remote","title":"Senior Machine Learning Engineer (MSc or PhD) - Remote","company":{"id":100174,"name":"Recruitment Room","domain":"recruitmentroom.net","url":"https://alion.io/company/recruitment-room","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["BB"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-11-10T12:00:00Z","employer_posted_date":null,"last_verified_at":"2026-11-10T12:00:00Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Senior Machine Learning Engineer (MSc or PhD) - Remote\nLocation: Global - Fully Remote\nEmployment Type: Contract\nWorkload: Approximately 15 hours per week\nCompensation: $60-$120 per hour (output-based)\nRequired Education: Master's degree or PhD\nAbout the Role\nWe are seeking experienced Machine Learning Engineers with advanced academic qualifications and strong Python development skills to contribute to an AI training project.\nThe work involves developing, implementing, reviewing, and validating machine learning engineering tasks across model development, training and inference systems, numerical computing, and performance optimisation.\nThis is a highly coding-intensive role requiring practical experience with Python and coding agents.\nKey Responsibilities\nDevelop and validate machine learning models, training pipelines, and inference systems.\n\nImplement model components, data pipelines, evaluation systems, and numerical methods.\n\nBuild reproducible workflows using Python and command-line tools.\n\nDebug numerical and system-level issues.\n\nOptimise memory usage, computational efficiency, and processing throughput.\n\nReview and validate implementations against defined correctness and performance requirements.\n\nRequired Qualifications\nMaster's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field.\n\nStrong professional or research experience in machine learning.\n\nPractical proficiency in Python and coding agents.\n\nExperience developing, testing, and debugging machine learning systems.\n\nStrong problem-solving and technical evaluation skills.\n\nExperience at established technology companies, AI laboratories, research organisations, or recognised engineering environments is preferred. Exceptional academic or open-source experience may also qualify.\nCore Skills\nMachine Learning\n\nPython Programming\n\nCoding Agents\n\nModel Development\n\nTraining and Inference Systems\n\nNumerical Computing\n\nData Pipelines\n\nPerformance Optimisation\n\nDebugging and Validation\n\nCommand-Line Tools\n\nCompensation and Working Arrangements\n$60-$120 per hour, paid per approved task.\n\nApproximately 15 hours per week.\n\nFully remote, open globally.\n\nFlexible working hours and days, including weekends.\n\nIndependent contractor engagement.\n\nPayment is output-based; task duration varies, and minimum submission requirements apply.\n\nStart Timeline and Hiring Process\nCandidates should be available to start immediately. 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