MLOps Engineer

Edge Tech; Greater London; Hybrid; GBP 85,000 - 100,000; Full time

Job summary

An award-winning bank in the UK is seeking an experienced MLOps Engineer to lead machine learning and data services. This role involves collaborating with cross-functional teams to manage data labs, deploy data science models, and drive innovation within AI and ML. The ideal candidate will have strong MLOps experience, proficiency in SQL and Python, and familiarity with cloud-based data platforms such as AWS and Azure. Competitive salary and 30 days annual leave are offered, along with a hybrid work model.

Benefits

11% bonus

private medical & dental

30 days annual leave

8 public holidays

Qualifications

• Proven experience in MLOps and cloud engineering.
• Skills in SQL and Python are essential.
• Experience with cloud platforms such as AWS Redshift or Azure Synapse is required.

Responsibilities

• Lead machine learning and data services across the business.
• Collaborate with teams to manage data labs and deploy models.
• Drive the journey into AI and ML for our client.

Skills

MLOps experience

Proficiency in SQL

Proficiency in Python

Cloud engineering with Azure

Experience with AWS

Automated Terraform deployment

Leading complex AI/ML initiatives

Analytical and problem-solving skills

Data visualization with Excel, Tableau, Power BI

Exceptional communication skills

Job description

Overview

MLOps Engineer

Award Winning Bank

Salary: 85K - 100K base with 11% bonus; pension; private medical & dental; 30 days annual leave; 8 public holidays

Location: Hybrid (2 days a week) - London, Reading, Manchester or Cardiff

We are excited to partner with an award-winning bank that is rewriting the rules of modern banking. Our client combines human expertise with smart digital solutions to deliver straightforward, flexible financial products. Whether it’s helping businesses unlock growth, supporting individuals to achieve their goals or providing savings that really work, they champion those who dare to do things differently.

The Opportunity

As an MLOps Engineer you’ll be at the forefront of leading machine learning, data and cloud services across the business. You’ll play a key part in kick-starting their journey into AI and ML.

You’ll be collaborating closely with cross-functional teams from setting up and managing data labs to enabling new tooling to deploying data science models into production, and you’ll play a pivotal role in helping our client scale and modernise.

What you’ll bring

• MLOps experience essential
• Proficiency in SQL and Python
• Cloud engineering experience with Azure (experience with AWS is beneficial)
• Experience working with cloud-based data platforms such as AWS Redshift or Azure Synapse
• Understanding of automated Terraform deployment methods
• A background in leading complex AI / ML / Data initiatives
• Strong analytical and problem-solving skills with a detail-oriented approach to data interpretation
• Expertise in data visualization tools including Excel, Tableau and Power BI
• Exceptional communication and collaboration skills to work effectively with cross-functional teams

Why join our client

• A chance to lead the direction of machine learning data and cloud services across the business.
• An opportunity to contribute to the growth and direction of the business capabilities and building a successful team around you.
• Competitive base salary
• 30 days annual leave + Bank Holidays
• Continuous exploration of new data analytics techniques and a chance to drive MLOps across a growing business unit.

Key Skills

ASP.NET, Health, Education, Fashion Designing, Fiber, Investigation

Employment Type: Full-Time

Experience: years

Vacancy: 1