AI Lead (ML Ops)

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We are looking for an AI MLOps Lead – Payments Engineering for our well-known client.

• Location: London, UK
• Type of Work: Hybrid (2-3 days from the office in a week)
• Employment Type: FTE (Full Time Employment) or B2B

We are looking for a techno-functional leader with deep experience in the payments domain and AI/ML solutions to design and implement intelligent, AI-enabled payment solutions. The role requires someone who can engage with business stakeholders, design AI-driven architectures, and also contribute hands-on to development and deployment, particularly in AI MLOps environments. This is not a pure data scientist role or a pure BA role but a design + build + deploy role within Payments transformation programs.

Key Responsibilities

1. Payments Domain & Functional Leadership

· Work with stakeholders across Payments (Wire, ACH, SWIFT, ISO 20022, Cards, Cross-border, Liquidity)

· Identify AI-led automation and optimization opportunities in payments lifecycle

· Translate regulatory, operational, and reconciliation challenges into AI solution use cases

· Define business requirements and solution blueprints

2. AI Solution Design

· Design AI/ML-driven solutions for: o Fraud detection & anomaly detection o Reconciliation automation o Payment routing optimization o Intelligent exception handling o AML pattern detection

· Define model selection approach (ML, LLM, GenAI, rule-based hybrid models)

· Design scalable, cloud-native AI architectures

3. Hands-on Development

· Develop ML models / AI workflows using Python and relevant frameworks

· Build APIs and integration layers for embedding AI into payments systems

· Work with data pipelines (real-time + batch)

· Implement data preprocessing, feature engineering, and model evaluation

4. AI MLOps & Deployment

· Set up and manage ML lifecycle using MLOps frameworks

· Implement: o Model versioning o CI/CD pipelines o Monitoring & drift detection o Governance and audit controls

· Ensure production-grade deployment with compliance considerations

5. Stakeholder & Delivery Management

· Interface with product teams, risk teams, operations, and engineering

· Lead POCs and scale into production

· Support proposal creation and AI solution articulation for clients

Qualification

Bachelor’s or Master’s degree in Computer Science, Engineering or related field

Skills Required

Domain

• 10+ years of experience in Banking/FinTech
• Strong Payments domain exposure (SWIFT, ISO 20022, Cards, Wire, ACH, Cross-border, Treasury flows)
• Understanding of regulatory and compliance implications in payments
• Experience working in payments transformation programs

Technical

• Strong Python skills
• Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.)
• Experience with LLMs / GenAI frameworks (LangChain, RAG, prompt engineering, etc.)
• Experience in cloud (AWS / Azure / GCP) · Experience in MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML, etc.)
• API development experience

Techno-Functional Capabilities

• Ability to translate business requirements into technical AI designs
• Strong solution architecture capability
• Experience designing and deploying AI solutions end-to-end Good to Have
• Fraud / AML AI implementation experience
• Real-time payments exposure
• Knowledge of DevOps practices

Good to have

strong Payments domain exposure (SWIFT, ISO 20022, Cards, Wire, ACH, Cross-border, Treasury flows) is good to have but not mandatory.

Ready to Take the Next Step?

If you're ready to embark on an exciting journey with ScaleneWorks, we’d love to hear from you! Submit your resume today and let’s unlock new possibilities together

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