Job Details

New Job: Senior/Lead Machine Learning Engineer - 12 Month Contract
Location: New York City (Hybrid)
Rate: c. $1,000 per day

Orbis is partnered with a fast-growing e-commerce client that is scaling its Machine Learning function, with plans to expand the team by four engineers before the end of Q2. This is a key opportunity to join a product-led business where machine learning plays a central role in shaping user experience, driving personalisation, and supporting the company's broader growth vision.

The Role

This role sits within a high-impact ML engineering group focused on three core pillars:

• Personalisation - delivering tailored, data-driven user experiences
• Generative AI - including LLMs and Agentic AI development
• Trust & Safety - fraud prevention, impersonation detection, and securing the user environment

The successful candidate will be involved in the end-to-end lifecycle of machine learning systems - from architecture and model development to deployment and real-time performance optimisation.

Key Requirements

• 4-10+ years of experience in machine learning, data, or platform engineering
• Proven experience deploying production-grade ML systems (e.g. real-time inference, recommendations, or model training pipelines)
• Proficiency in Python, Go, or Java
• Cloud experience with one or more platforms: AWS, GCP, Azure
• Familiarity with infrastructure and orchestration tools: Kubernetes, Terraform, Airflow, Databricks, Feast, Tecton, Ray, or Kubeflow
• Bonus: experience with LLMs, RAG pipelines, CLIP embeddings, or real-time/streaming systems (Kafka, Flink, Spark)

What's on Offer

• 12-month contract with high potential for extension or permanent conversion
• Competitive daily rate and hybrid working model in New York City
• The opportunity to make a direct impact on the business across multiple high-priority domains

Please note: this role does not offer sponsorship and is not open to third parties.

Apply now if you're interested in being part of a cutting-edge ML team within a product-first e-commerce environment.