Senior Machine Learning Engineer at Phocas

Job Description:

Latest job information from Phocas for the position of Senior Machine Learning Engineer. If the Senior Machine Learning Engineer vacancy in Christchurch, South Island matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Phocas for the position of Senior Machine Learning Engineer below matches your qualifications.

Across 20+ years of delivering financial planning and analytics products that are powerful yet simple to use, we've tackled complex challenges head-on. Along the way, we've had our share of failures, but we learn fast, adapt, and keep moving forward. This mindset keeps us at the leading edge, creating products that don't just help businesses; they change the way people work.

Our mission: Help people feel good about data. Phocas holds vast amounts of customer data and is a central tool for customers to improve their businesses.

Having recently released a new Insights SaaS product to market — and seeing strong adoption — we're now expanding the team to seize the opportunity ahead. That's where you come in.

• Applying classic machine learning and data techniques alongside emerging AI methods to automatically generate insights from vast amounts of customer data — starting in the sales domain, with many more problem spaces to follow.
• Helping productise and scale a new product that combines Phocas' long track record of success, deep customer knowledge, and modern data techniques to deliver measurable impact — saving customers time and helping them grow.
• Working with real-world, messy data across global customers, balancing pragmatism with innovation. You'll thrive in a product team that values fast feedback, close collaboration with customers, and shipping products people genuinely love and use every day.

• Hands-on ML & data skills— experience applying machine learning, statistical, or data engineering techniques to real-world problems, ideally in a commercial SaaS or product context.
• Engineering mindset— ability to build scalable, reliable solutions that work with messy, complex data at production scale.
• Pragmatism with curiosity— excited about new AI/ML methods but grounded enough to ship things that work and deliver value fast.
• Growth mindset— eager to learn, adapt, and keep improving, both in your craft and as part of a team.
• Sense of urgency— bias for action and focus on outcomes; you know how to balance exploration with delivery.
• Collaboration first— a great communicator who enjoys working closely with product managers, engineers, and customers to co-create solutions, as part of an empowered team.

• The people- we hear it all the time: our team is the #1 reason people love working here.
• Plenty of fun and social events- including the occasional silly game and lots of food.
• 10% professional development time- every engineer gets one day per fortnight for learning.
• A sunny Sydenham office with lots of space and parking for all types of wheels.
• Southern Cross health insurance, life, TPD, and income protection cover.
• Extra paid parental leave.
• Flexible/hybrid working options.

Phocas is an Accredited Employer and typically we are strong supporters of international talent, but due to current visa settings and processing times, we can only consider applicants with current NZ working rights.

We do not currently offer a fully remote option.

Recruiters, please note: We don't accept unsolicited agency resumes

#LI-NG1 #LI-HYBRID

Job Info:

• Company: Phocas
• Position: Senior Machine Learning Engineer
• Work Location: Christchurch, South Island
• Country: NZ

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Senior Machine Learning Engineer at the office Christchurch, South Island above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.