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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in deploying machine learning models as low-latency services, integrating third-party APIs, and establishing CI/CD practices in production environments. Proficient in Python, Docker, Kubernetes, and AWS services, with a focus on observability and data pipeline orchestration.
Highest-signal resume keywords
Python ProgrammingModel Serving via REST/gRPC APIsDocker and KubernetesAWS ExperienceData Pipelines and Orchestration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning EngineeringModel MonitoringDrift DetectionCI/CDInfrastructure-as-CodeObservability ToolingFeature PipelinesThird-Party API IntegrationHigh-Availability EnvironmentsModel Retraining Workflows
Tools & Technologies
AirflowMLflowSageMakerFeastRefinitiv/LSEGAmplitude
Industry Keywords
Financial ServicesBrokerageRegulated IndustryMarket DataFinancial News Feeds
Tech Stack
Tools & technologiesAirflowAWSDockerGRPCKubernetesPython
About the role
Key responsibilities & impact- Deploy models as reliable, low-latency services consumed by the mobile app backend
- Build and schedule feature pipelines, including daily refresh of customer-level scores
- Integrate an external market-news feed, e.g. Refinitiv/LSEG, and product analytics data, including Amplitude and in-app video engagement, into the data warehouse
- Implement model monitoring, drift detection, alerting and retraining workflows
- Establish deployment patterns, CI/CD and testing standards for ML in the production environment
- Document everything needed for long-term ownership
- Deliver a handover plan
Requirements
What you’ll need- 4+ years in software or ML engineering, with models running in production
- Strong Python
- Model serving via REST/gRPC APIs
- Docker and Kubernetes or equivalent
- AWS experience, e.g. S3, compute, managed ML services
- Data pipelines and orchestration, Airflow or similar
- Third-party API integration
- CI/CD
- Infrastructure-as-code
- Observability tooling
- Experience in high-availability environments where outages affect customers
- Nice to have: Financial services, brokerage or other regulated-industry experience
- Nice to have: Feature stores and ML platforms, e.g. MLflow, SageMaker, Feast
- Nice to have: Market data or financial news feeds
Benefits
Comp & perks- Competitive salary package
- Share plan
- Company performance bonuses
- Value-based recognition awards
- Referral bonus
- Career coaching
- Global career opportunities
- Non-linear career paths
- Internal development programmes for management and technical leadership
- Complex projects
- Rotations
- Internal tech communities
- Training
- Certifications
- Coaching
- Online learning platforms subscriptions
- Pass-it-on sessions
- Workshops
- Conferences
- Hybrid work
- Flexible working hours
- Employee assistance programme
- Global internal wellbeing programme
- Access to wellbeing apps
- Global internal tech communities
- Hobby clubs and interest groups
- Inclusion and diversity programmes
- Events and celebrations