Middle ML Ops Engineer

Madfish; United Kingdom; Remote; GBP 50,000 - 70,000; Full time

Job summary

A financial services technology company is seeking a Middle-level ML Ops Engineer in the United Kingdom to build and maintain ML pipelines on Google Cloud Platform (GCP). The role involves managing large text data and deploying machine learning models in various environments. Candidates should have solid GCP experience and familiarity with MLOps best practices. The position offers a flexible schedule and support for professional growth.

Benefits

Paid vacation

Sick leave without paperwork

Professional growth opportunities

Flexible working schedule

Career Development Plan (CDP)

Employee support program

Training and conference funding

Internal workshops and seminars

Corporate library

Internal English classes

Qualifications

• Solid experience with Google Cloud Platform (GCP).
• Proficiency with Vertex AI and BigQuery.
• Hands-on experience deploying and supporting ML models.
• Understanding of MLOps best practices and automation tools.
• Good communication skills and ability to work in a distributed team.

Responsibilities

• Build and maintain ML and data pipelines on GCP.
• Manage and preprocess large volumes of text data.
• Deploy machine learning models in real-time and batch environments.
• Support and optimize infrastructure for ML workflows in Vertex AI and BigQuery.
• Collaborate with client’s engineers for smooth handoffs.

Skills

Google Cloud Platform (GCP)

Vertex AI

BigQuery

MLOps best practices

Communication skills

Job description

We are looking for a Middle-level ML Ops Engineer to join an ongoing project with a Financial Services company based in New York. You will support the internal team by handling infrastructure tasks and routine ML Ops work.

Responsibilities

• Build and maintain ML and data pipelines on GCP
• Manage and preprocess large volumes of text data
• Deploy machine learning models in both real-time and batch environments
• Support and optimize infrastructure for ML workflows in Vertex AI and BigQuery
• Collaborate with the client’s full-time engineers and ensure smooth handoffs

Requirements

• Solid experience with Google Cloud Platform (GCP)
• Proficiency with Vertex AI and BigQuery
• Hands-on experience deploying and supporting ML models
• Understanding of MLOps best practices and automation tools
• Good communication skills and the ability to work in a distributed team

Overlap requirements

daily overlap up to 2PM EST (8PM CET)

Working conditions and benefits

• Paid vacation, sick leave (without sickness list)
• Official state holidays — 11 days considered public holidays
• Professional growth while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
• Flexible working schedule: 8 hours per day, 40 hours per week
• Personal Career Development Plan (CDP)
• Employee support program (Discount, Care, Health, Legal compensation)
• Paid external training, conferences, and professional certification that meet the company’s business goals
• Internal workshops & seminars
• Corporate library (Paper/E-books) and internal English classes

Step into your future — apply now 🚀