Machine Learning Workflow Engineer

You will join the ML Workflows team to build and operate an ML research and deployment pipeline. You’ll create greenfield solutions where off-the-shelf tools fall short, shaping best practices for quantitative research. You’ll work across disciplines to scale platforms that accelerate discovery and enable reliable production ML. This role offers the chance to impact how models and data workflow together across the firm. You’ll operate in a collaborative, innovative environment at the London HQ with a focus on practical, long-term impact.

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided and barista bar
• 35 days’ annual leave
• 9% company pension contributions
• Comprehensive healthcare and life assurance
• Cycle-to-work scheme

• Develop greenfield ML interdependency solutions and custom tooling
• Implement feature stores and model stores with proper versioning
• Improve inference compute utilisation via model serving
• Establish CI/CD for ML pipelines
• Reliably fit models with complex job dependency graphs
• Ensure production robustness with validation and monitoring
• Shape scalable platforms and tools for quantitative research
• Collaborate across teams to define best practices in ML operations

• Appreciation of good architecture and MLOps best practice
• Ability to collaborate with both technical and non-technical stakeholders
• End-to-end ownership mindset from articulation to delivery
• Proven ability to engineer high-quality software
• Effective long-term decision-making and prioritisation
• Value-oriented and independent prioritisation
• Finance experience not required; candidates from non-financial backgrounds encouraged

• collaboration
• influence
• ownership
• MLOps best practices
• ML platform design and architecture
• model and feature stores