Senior ML Engineer - Python/Serverless ML Pipelines (AWS Lambda) - Fully Remote (Northern Ireland-based candidates encouraged) Salary: £100k+ market-leading benefits package About the Company: Our client is a rapidly scaling, VC-backed technology company focused on cloud cost optimization and Fin Ops solutions for enterprises and MSPs operating across hybrid and multi-cloud environments.

With over a decade of experience and recent strategic acquisitions, they are evolving into a product-led platform business - leveraging AI/ML insights, structured cost data, and seamless integrations to drive cloud ROI.

A proud member of the Fin Ops Foundation, the company is at the forefront of the emerging Bill Ops movement and is investing heavily in machine learning talent to unlock the next phase of intelligent automation and cost intelligence.

The Role: As one of the first UK/Northern Ireland ML engineering hires, this is a rare opportunity to shape both the technical foundation and future team culture.

You'll be a core member of a remote-first, globally distributed product and engineering function, helping deliver intelligent automation features and ML-enhanced services in a high-scale cloud environment.

The role requires deep expertise in Python, applied machine learning, and AWS-native ML workflows.

You'll work closely with data engineers, backend developers, and product leaders to embed ML across core features - from forecasting and anomaly detection to optimization and automated decision-making.

Key Responsibilities: * Design and build serverless ML pipelines using AWS tools (Lambda, Sage Maker, Step Functions) * Develop, deploy, and monitor models in production (e.g., cost forecasting, anomaly detection, usage classification) * Collaborate on data ingestion and transformation with Snowflake, DBT, Airflow, and other pipeline tools * Work alongside backend engineers building APIs that serve model predictions and insights * Implement model observability, drift detection, and A/B testing practices * Engage with stakeholders to translate product needs into ML prototypes and deliverables * Champion best practices in reproducibility, explainability, and scalability in ML systems * Help define the future structure of ML delivery across the platform Essential Criteria: * 7-10+ years of software/ML engineering experience, ideally in Saa S, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, Py Torch, or Tensor Flow) * Experience deploying ML models in production environments, ideally using AWS services (Sage Maker, Lambda, Step Functions, etc.) * Solid understanding of serverless and event-driven architectures * Strong grasp of MLOps practices - CI/CD for ML, model packaging, model registry, monitoring * Experience working with time-series or tabular data at scale * Excellent communication skills and ability to collaborate across regions Desirable Experience: * Background in cloud cost optimization, billing intelligence, or Fin Ops tooling * Exposure to probabilistic models, forecasting techniques, or causal inference * Experience with feature stores, model registries, and real-time inference * Familiarity with Snowflake, Airflow, or modern data lakehouse environments * Previous work integrating ML models into product-facing APIs or microservices Why Join: * Be a founding ML engineer hire in the UK/Northern Ireland for a globally scaling Saa S company * Shape the future of intelligent cost optimization using applied ML * Work directly with data and platform architects influencing long-term technical direction * Collaborate with elite engineers and product leaders across three continents * Remote-first team culture with autonomy, flexibility, and a feedback-driven mindset * High-impact opportunity with potential to evolve into a lead or architect-level role How to Apply: If you believe you meet the criteria for this role and are excited about the opportunity to help shape a platform powered by ML insights, please apply via this link.

Alternatively, you can reach out to Phil Gamble directly for an informal chat via Linked In or Whats App.

About Phil Gamble: Phil Gamble has over 20 years of experience in the Tech recruitment industry, successfully delivering on challenging IT recruitment campaigns in global IT software companies in the US, UK, and Ireland.

He takes a personalized approach to understanding candidates and has garnered praise for his professionalism and dedication to their career goals.

Recent Linked In Testimonials: "I cannot recommend Phil and Ocho enough...

Phil is a professional who does not treat his candidates as resources..." "Phil was by far the best recruiter I have ever dealt with...

I wouldn't hesitate to recommend Phil to my friends or colleagues." "Phil has helped me find new roles more than once...

Phil takes the time to understand what it is I'm looking for..." Skills: ML python finops AWS serverless Benefits: Work From Home