Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI-driven payment solutions and engage with stakeholders to optimise processes.
- Company: Join ScaleneWorks, a career architect connecting talent with top-tier opportunities.
- Benefits: Hybrid work model, competitive salary, and professional growth in a dynamic environment.
- Why this job: Shape the future of payments with cutting-edge AI technology and make a real impact.
- Qualifications: 10+ years in Banking/FinTech, strong Python skills, and experience in AI/ML solutions.
- Other info: Exciting opportunity for hands-on leaders in a fast-paced, innovative setting.
The predicted salary is between 80000 - 100000 £ per year.
At ScaleneWorks People Solutions, we're more than recruiters; we're career architects dedicated to connecting exceptional talent with top-tier opportunities. Backed by industry experts, we prioritise relationships, offer global opportunities, and champion your success every step of the way.
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
- Payments Domain & Functional Leadership
- Work with stakeholders across Payments (Wire, ACH, SWIFT, ISO 20022, Cards, Cross-border, Liquidity)
- Identify AI-led automation and optimisation opportunities in payments lifecycle
- Translate regulatory, operational, and reconciliation challenges into AI solution use cases
- Define business requirements and solution blueprints
- AI Solution Design
- Design AI/ML-driven solutions for:
- Fraud detection & anomaly detection
- Reconciliation automation
- Payment routing optimisation
- Intelligent exception handling
- AML pattern detection
- Define model selection approach (ML, LLM, GenAI, rule-based hybrid models)
- Design scalable, cloud-native AI architectures
- 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
- Set up and manage ML lifecycle using MLOps frameworks
- Implement:
- Model versioning
- CI/CD pipelines
- Monitoring & drift detection
- Governance and audit controls
- 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.
AI Lead (ML Ops) in London employer: ScaleneWorks People Solutions LLP
Contact Detail:
ScaleneWorks People Solutions LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Lead (ML Ops) in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those already working in AI and payments. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to payments. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in the AI MLOps space. Be ready to discuss your hands-on experience with Python and ML frameworks, as well as your approach to problem-solving in payments.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about connecting talent with top-tier opportunities, and we want to help you land that dream job in AI and payments.
We think you need these skills to ace AI Lead (ML Ops) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI MLOps Lead role. Highlight your experience in payments and AI/ML solutions, and don’t forget to showcase any hands-on development work you've done. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the payments domain and how your skills align with the responsibilities of the role. Let us know what excites you about working with AI in this space.
Showcase Your Technical Skills: Be sure to highlight your technical expertise, especially in Python and ML libraries. If you've worked with MLOps tools or cloud platforms, mention those too! We love seeing candidates who can hit the ground running.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Let’s get started on this journey together!
How to prepare for a job interview at ScaleneWorks People Solutions LLP
✨Know Your Payments Inside Out
Make sure you brush up on your knowledge of the payments domain, including key concepts like SWIFT, ISO 20022, and ACH. Being able to discuss these topics confidently will show that you understand the landscape and can engage with stakeholders effectively.
✨Showcase Your AI/ML Expertise
Prepare to discuss your hands-on experience with AI and ML solutions, particularly in the context of payments. Be ready to share specific examples of projects where you've designed, built, or deployed AI-driven solutions, highlighting your technical skills in Python and relevant frameworks.
✨Demonstrate Your Techno-Functional Skills
This role requires a blend of technical and functional expertise. Be prepared to explain how you've translated business requirements into technical designs in previous roles. Use examples that illustrate your ability to bridge the gap between stakeholders and technical teams.
✨Familiarise Yourself with MLOps Practices
Since MLOps is a key part of this role, make sure you understand the lifecycle of machine learning models. Be ready to discuss your experience with MLOps tools and practices, such as CI/CD pipelines and model versioning, to demonstrate your capability in managing AI deployments.