Senior Machine Learning Engineer
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Senior ML Engineer deploying scalable ML models and pipelines for Fleet Space’s satellite-enabled mineral exploration technology. Owning MLOps, GPU infrastructure, model quality and experiment platforms.
Responsibilities:
- Develop, mature and deploy machine learning models and systems supporting satellite-enabled mineral exploration
- Partner with the Senior ML Engineer and Data Science team to transition research models from notebooks and prototypes into production-grade products
- Build and maintain robust, efficient ML and data pipelines and supporting infrastructure
- Configure GPU environments for scalable machine learning systems
- Own model quality across retraining cycles through leakage-safe evaluation and calibrated uncertainty
- Maintain reproducible model lineage from configuration through prediction
- Own the ML experiment platform, including MLflow tracking, model registry, run identity and provenance conventions
- Manage environments and dependencies for training jobs
- Partner with the Platform team, reusing shared infrastructure modules and contributing new patterns
- Write clean, testable Python using SOLID principles, unit tests and automated end-to-end tests
- Monitor developments in ML and MLOps and incorporate useful practices
Requirements:
- Deep expertise in machine learning across modeling, engineering and architecture, with proven experience as a software engineer focused on ML
- Proficiency with Python, Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, MLflow, AWS, Databricks, Terraform, GitLab, Zarr and Icechunk
- Experience across the full ML lifecycle, from data preprocessing and feature engineering through training, evaluation and deployment
- Experience taking research artifacts to production-grade, scalable solutions
- Data engineering knowledge including deterministic, idempotent pipelines, schema and contract discipline, and failure and retry semantics
- Software delivery knowledge including continuous release, automated gates, observability and application architecture
- Solid grounding in MLOps, including model development, deployment and data versioning
- Strong Python and software engineering fundamentals across data structures, algorithms and design patterns
- Hands-on AWS and Databricks experience, infrastructure as code with Terraform, and well-architected design principles
- Experience with code and data version control such as GitLab, MLflow and Icechunk
- Experience in startup environments building ML products and environments from early stages
- High-ownership and high-agency mindset
- Geospatial data experience is a plus
- Exposure to big-array data, remote sensing workflows, big data technologies, open-source ML projects, and AI-assisted development workflows is advantageous
Benefits:
- Extremely flexible work culture with onsite, hybrid and remote working options
- Equity (ESOP) grants
- 20 days of annual leave
- 10 extra Wellness days per year
- Learning budgets
- Confidential Psychologist appointments via the Employee Assistance Program
- Opportunities to participate in the STEM program
Similar Jobs
Senior Machine Learning Engineer
Senior Machine Learning Engineer developing deep-learning perception and mapping systems for Stack AV’s L4 autonomous trucking technology. Building real-time, safety-critical software and generative AI algorithms.
Machine Learning Engineer – Voice AI, Generative Music
Part-time ML Engineer building voice cloning, Spanish TTS, and lyrics-generation systems. Deploying production AI models for an AI-native Mexican music label.
Machine Learning Engineer – Voice AI, Generative Music
Applied ML Engineer building voice-cloning, text-to-speech, and Spanish lyrics-generation systems. Deploying production AI models for an AI-native music label.
Machine Learning Engineer – Voice AI, Generative Music
Part-time ML Engineer building voice-cloning, text-to-speech, and Spanish lyrics-generation systems. Deploying production AI models for an AI-native music label’s music pipeline.
AI/ML Engineer
AI/ML Engineer developing and governing AI automations, analytics, and LLM solutions for Rackner’s U.S. government software consultancy. Supporting responsible AI adoption across federal mission environments.
ML Engineer
Machine Learning Engineer developing, optimising, and reviewing AI training and inference systems for 24-MAG’s global remote consulting platform. Part-time contractor role focused on Python-based ML engineering.
Senior Machine Learning Engineer
Senior Machine Learning Engineer building computer vision and generative AI systems for Aftershoot’s photographer-focused AI tools. Owning projects from ideation through deployment and monitoring.
Senior AI/ML Engineer
Senior AI/ML Engineer building Generative AI, RAG, and agentic solutions for pharmaceutical Statistical Programming. Deploying secure, validated, production-ready AI applications with Python and AWS.
Senior Machine Learning Engineer
Senior Applied AI Engineer building production AI/ML systems for phData, a data and AI consultancy. Delivering scalable enterprise solutions across LATAM clients.
Senior ML Engineer
Senior ML Engineer building CloudBolt’s recommendation engine for Kubernetes resource optimization. Reducing SaaS customers’ cloud spending through safe forecasting and production ML systems.
ML Ops Engineer
ML Ops Engineer productionizing reliable, observable machine-learning systems for Nift’s performance-marketing platform. Building cloud infrastructure, deployment pipelines, monitoring, and model governance.
ML Engineer, Agentic Systems
Staff ML engineer building models, evaluations, and agentic systems for Sourcegraph’s code-understanding products. Improving enterprise code search quality, latency, cost, and reliability.
Senior Machine Learning Engineer
Senior Machine Learning Engineer productionizing computer vision models for Samsara’s IoT-powered Connected Operations Cloud. Building low-latency APIs, data pipelines, and monitoring for fleet-scale safety features.
Junior AI/ML Engineer, GenAI, AWS
Junior AI/ML Engineer building RAG, GenAI, and AWS systems for Provectus, an AWS Premier and Anthropic Strategic Partner. Contributing to production AI, backend services, evaluations, and deployments.
Mid-Level MLOps Engineer
MLOps Engineer building and operating secure, reliable ML/AI production services for Redcare Pharmacy, Europe’s leading e-pharmacy. Improving Python systems, Kubernetes infrastructure, CI/CD, and model lifecycle practices.
Machine Learning Engineer – Roleplay Sessions
Machine Learning Engineer building real-time AI coaching for Synthesia’s interactive enterprise roleplay training platform. Developing performance scoring, feedback, and avatar-response models.
AI, Machine Learning Roles
AI/ML professionals developing Generative AI and machine learning solutions. Building scalable cloud applications with Python, LLMs, data pipelines, APIs, and microservices.
Senior AI/ML Engineer – India
Forward Deployed AI/ML Engineer developing and deploying models, LLMs, and Agentic AI systems for NewRocket’s enterprise ServiceNow clients. Building scalable cloud, data, and automation solutions.
Staff Machine Learning Engineer
Staff ML Engineer setting technical direction for AI models at Payabli, a payments infrastructure platform. Building, deploying, and monitoring models across risk, authorization, disputes, and payouts.
Senior Machine Learning Engineer, Forecasting
Senior ML Engineer building MLOps and forecasting infrastructure for Apella’s surgical-care technology. Automating retraining, deployment, monitoring, and scalable production ML systems.