AI Engineer/ML Engineer - Senior Developers - AI Training - Nottingham, UK

prolificacademicltd; USA; Remote; USD 83.000 - 110.000; Vollzeit

Benefits dieser Stelle

Remote, flexible contributor model

Competitive hourly rate up to $80

Zusammenfassung

Prolific Academic Ltd seeks a Senior AI/ML Engineer to join a remote, project-based role focusing on training and evaluating large language models.

You will provide expert technical judgement to research teams building next-generation AI systems, with emphasis on ensuring correctness and safety across architectures and training pipelines.

Qualifikationen

• BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a machine learning focus.
• Hands-on experience building, deploying, or fine-tuning ML models in production environments.
• Professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques.
• Practical experience with prompt engineering, RLHF, or retrieval-augmented generation (RAG) workflows.
• Ability to audit complex model logic, detect training data contamination, and evaluate mathematical proofs.
• Sharp attention to detail for spotting hallucinations and biased or flawed AI-generated content.

Aufgaben

• Review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
• Audit machine learning code, including training loops, data preprocessing scripts, and evaluation notebooks, for correctness and efficiency.
• Supply structured human feedback used to refine reinforcement learning from human feedback (RLHF) pipelines.
• Critically assess chain-of-thought reasoning, flagging hallucinations, biases, and logical breakdowns in model outputs.
• Run comparative benchmarks across model outputs against defined technical taxonomies and performance metrics.

Kenntnisse

Machine learning

Transformers

Prompt engineering

RLHF

Model evaluation

Ausbildung

BS/MS/PhD in CS/AI/Robotics or related field

Tools

PyTorch

TensorFlow/Keras

Hugging Face Transformers

AWS SageMaker

Google Vertex AI

Weights & Biases

LangChain

Pinecone

Milvus

Weaviate

Jobbeschreibung

Role overview

Join an expert contributor network as a senior AI/ML engineer helping train and evaluate large language models. The work is project-based and remote, centered on providing high-quality technical judgement to research teams building next-generation AI systems in Nottingham, UK.

Responsibilities

• Review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
• Audit machine learning code, including training loops, data preprocessing scripts, and evaluation notebooks, for correctness and efficiency.
• Supply structured human feedback used to refine reinforcement learning from human feedback (RLHF) pipelines.
• Critically assess chain-of-thought reasoning, flagging hallucinations, biases, and logical breakdowns in model outputs.
• Run comparative benchmarks across model outputs against defined technical taxonomies and performance metrics.

Requirements

• BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a machine learning focus.
• Hands‑on experience building, deploying, or fine‑tuning ML models in production environments.
• Professional‑level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques.
• Practical experience with prompt engineering, RLHF, or retrieval-augmented generation (RAG) workflows.
• Ability to audit complex model logic, detect training data contamination, and evaluate mathematical proofs.
• Sharp attention to detail for spotting hallucinations and biased or flawed AI-generated content.

Nice to have

• Expert proficiency with PyTorch or TensorFlow/Keras, advanced Python (NumPy, Pandas, Scikit-learn), and Hugging Face Transformers.
• Familiarity with cloud ML platforms (AWS SageMaker, Google Vertex AI) and tooling like Weights & Biases, LangChain, Pinecone, Milvus, or Weaviate.

Benefits and work setup

• Remote, flexible contributor model with paid hourly tasks, often at rates up to $80 per hour for this skill profile.
• Tasks typically require up to one hour of uninterrupted focus, with many being shorter.