or apply directly on SurePay's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days SurePay's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of SurePay's roles list one
- Ghost-job risk at SurePay
- high 3 stale, 0 reposted of 4 open
- Hiring momentum
- 8 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from SurePay's own greenhouse board since 2026-08-03. Full hiring picture for SurePay.
About this role
As a Senior Machine Learning Engineer at SurePay, you will be part of a cross-functional team focused on developing a high-performance Machine Learning platform for fraud detection. Your role involves converting experimental data science logic into automated production systems, designing microservice APIs, and evolving the internal data platform with a strong emphasis on MLOps and AWS infrastructure. You will collaborate closely with Data Scientists and other engineers to ensure the resilience and efficiency of the ML processing platform.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SurePay as an employer.
What you need
- 8+ years of relevant software engineering and MLOps experience
- Proven track record of bringing ML models to production at scale
- Deep hands-on experience with AWS SageMaker, Infrastructure as Code (Terraform/CloudFormation), and CI/CD pipelines for ML models
- Expert-level Python skills with experience building scalable microservices and sub-millisecond latency APIs
- Hands-on experience designing real-time/streaming data pipelines and online feature stores
- Practical proficiency packaging and deploying models using PyTorch, TensorFlow, Scikit-learn, or Apache Spark
Nice to have
- Industry background in Fraud, AML, or transactional risk scoring systems
- Familiarity with risk platforms such as NICE Actimize, RiskShield, FCRM, or Pega
What you get
- Competitive salary + 8% personal benefits budget
- 25 holidays
- Hybrid working setup
- MacBook Pro, iPhone, and all the tech you need
- Travel costs covered (NS Business Card)
- Pension plan
Worth weighing
- No salary listed
- Focus on fraud detection may limit exposure to other ML applications
- Requires balancing between software engineering and data science literacy
Summarised from SurePay's posting. Read the full original.
Listed by SurePay on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.