Senior/Lead Machine Learning Engineer

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.