Machine Learning Engineer in United Kingdom

pay

Required Skills
Python
Machine Learning
MongoDB
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Role Title: Machine Learning Engineer

Role Type: Contractor

Location: Remote

micro1 is engaging Machine Learning Engineers to contribute expertise to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Scope of Work

Design, develop, and refine machine learning models using Python and relevant libraries to address project objectives.
Analyze large datasets and leverage MongoDB to manage and retrieve data efficiently for model training and validation.
Collaborate with cross-functional contributors to identify areas for model improvement and implement robust solutions.
Conduct thorough model evaluation, tuning hyperparameters, and benchmarking results to ensure optimal performance.
Document methodologies, experiments, and outcomes to ensure transparent and repeatable workflows.
Integrate data pipelines and preprocessing workflows to streamline training and inference processes.
Deliver actionable insights and recommendations based on data-driven findings and machine learning outcomes.

Preferred Qualifications

Demonstrated expertise with Python, including deep familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with MongoDB for data manipulation, storage, and retrieval within machine learning projects.
Strong problem-solving skills and a track record of delivering innovative ML solutions in real-world settings.
Understanding of model evaluation metrics, feature engineering, and effective data preprocessing techniques.
Background in deploying or operationalizing machine learning models in cloud or enterprise environments.
Clear written documentation and communication skills for sharing technical findings and best practices.
Ability to adapt quickly to evolving project requirements and contribute collaboratively in a remote setting.
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