Senior ML Engineer

Job Title:                     Senior ML Engineer                                              
Department:        Engineering                                            
Reports To: Team Lead
Working Pattern: Hybrid – minimum 2 day per week in Belfast office
Location: Belfast, Northern Ireland (Role is NI based. Candidate must have right to live and work in UK)
Salary: Negotiable

Company background:
Congruity360 is headquartered in Boston with employees across the US, England and Northern Ireland. The Congruity360 flagship product, Classify360, enables clients to reduce their financial and data risk by increasing their data understanding, classification, and security, allowing clients to meet all of the current, new, and changing laws, regulations, and business drivers. In other words, making intelligent business decisions.
Job Summary:
A new product offering is emerging from concept phase, which expands our solution set from compliance and data governance into cybersecurity. This role offers the opportunity to work in emerging technologies with a primary focus on a machine learning skillset. The successful candidate will be an integral part of a dynamic team, working in a fast-paced development environment, generating creative solutions to solve customer needs and challenges. The successful candidate will be actively involved in driving technical decisions within the team, with a desire to produce high quality software to provide a superior client experience.

Education requirements:

• A University degree (or equivalent) in Mathematics, Physics, Statistics or equivalent applied quantitative background

Experience:

• 5+ years relevant software engineering and development experience
• Proactive attitude with great communications skills, attention to detail, self-motivated, and the ability to work well with people are essential

Essential Criteria:

• 5+ years Java in production services
• Hands-on statistical anomaly detection: distribution divergence, robust z-scores, EMD, baseline/drift methods
• Unsupervised methods (Isolation Forest or similar) and their evaluation without labels
• Implementing numerical work in Java (Commons Math, Smile, XGBoost4J, ojAlgo or similar)
• Working directly against columnar stores for feature computation

Desired Criteria:

• UEBA, fraud, or telemetry scoring experience
• Multi-signal corroboration / ensemble scoring design
• Gradient-boosted meta-models once labels exist
• Security domain familiarity
• System Integration
• Agile development

Company Benefits:

• Pension scheme.
• Flexible working hours and hybrid work options.
• Health insurance and wellness programs.
• Generous holiday leave and paid time off.
• Flexible working policy
• Volunteer policy