We are seeking an experienced AI/ML Engineer with strong MLOps expertise to join one of our FinTech client’s team on a contract basis. You will play a pivotal role in taking AI models from proof-of-concept to robust production deployment, ensuring scalability, performance, and compliance. Contract AI/ML Engineer (with MLOps) Location: Remote (UK-based) or Hybrid – Client Site as Required Contract Length: 6 months (extension likely) Day Rate: £650–£850 (Outside IR35, subject to assessment) Start Date: ASAP This is a hands-on role for an engineer who thrives in fast-moving environments, working across data pipelines, model optimisation, cloud deployment, and continuous integration/monitoring. Key Responsibilities • Model Development: Build, train, and fine-tune machine learning models (including large language models and traditional ML). • MLOps Implementation: Design and maintain CI/CD pipelines for ML, including automated training, testing, deployment, and rollback strategies. • Data Pipeline Engineering: Develop and optimise data ingestion, transformation, and feature engineering processes. • Production Deployment: Deploy models to cloud environments (AWS, Azure, or GCP) with a focus on scalability and reliability. • Monitoring & Optimisation: Implement monitoring for model drift, performance, and cost-efficiency. • Collaboration: Work closely with data scientists, engineers, and product managers to align model outputs with business requirements. • Compliance: Ensure AI/ML systems adhere to relevant regulatory and ethical guidelines (EU AI Act, UK data privacy standards). Required Skills & Experience • Proven experience delivering ML models into production environments. • Strong programming skills in Python (and familiarity with libraries such as PyTorch, TensorFlow, Scikit-learn). • Experience with MLOps tools (MLflow, Kubeflow, Vertex AI, SageMaker, or similar). • Proficiency with cloud platforms (AWS, Azure, or GCP). • Strong background in data engineering (ETL, feature stores, SQL/NoSQL databases). • Experience with containerisation & orchestration (Docker, Kubernetes). • Knowledge of CI/CD best practices for ML. • Strong communication skills, able to work effectively in a cross-functional team. Nice to Have • Experience with generative AI / LLMs in production. • Knowledge of AI governance and compliance frameworks. • Background in fintech, payments, or regulated industries. Contract Details • Day Rate: £650–£850 (Outside IR35, subject to determination) • Location: Remote-first with occasional on-site meetings. • Duration: 6 months (potential to extend) • Start Date: ASAP This role is perfect for an experienced AI/ML Engineer who has taken machine learning models from concept to live production in a business setting, and is comfortable managing the full process — from preparing the data, building and training the model, to deploying, monitoring, and improving it once it’s in use.