At a Glance
- Tasks: Join a dynamic team to develop innovative machine learning solutions in cybersecurity.
- Company: Congruity360, a forward-thinking tech company with a global presence.
- Benefits: Enjoy flexible working hours, health insurance, and generous holiday leave.
- Other info: Hybrid work model with opportunities for professional growth and collaboration.
- Why this job: Make an impact by driving technical decisions and enhancing client experiences.
- Qualifications: 5+ years in software engineering with strong Java and machine learning skills.
The predicted salary is between 59400 - 72600 £ per year.
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.
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
Senior ML Engineer in Belfast employer: Congruity360
At Congruity360, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture in the heart of Belfast. Our commitment to employee growth is evident through flexible working hours and opportunities to engage in cutting-edge projects within the cybersecurity domain, ensuring that our team members not only contribute to impactful solutions but also advance their careers in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer in Belfast
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Congruity360 or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Congruity360.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Congruity360.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Congruity360 that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior ML Engineer in Belfast
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Congruity360.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Congruity360 and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Congruity360
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Congruity360 uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
