Congruity360
Senior ML Engineer

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Senior ML Engineer
Department: Engineering
Reports To: Team Lead
Working Pattern: Hybrid – minimum 2 days 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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 communication skills, attention to detail, self-motivated, and the ability to work well with people are essential
Essential Criteria:


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- 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
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