Machine Learning Operations Engineer

Cibc Global Markets Technology
Charing Cross, United Kingdom
20 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Charing Cross, United Kingdom

Tech stack

API
Artificial Intelligence
Data analysis
Azure
Databases
Continuous Integration
DevOps
Fraud Prevention and Detection
Github
Python
Machine Learning
Power BI
Azure
Software Engineering
Data Streaming
Large Language Models
Generative AI
Build Management
Kubernetes
Information Technology
Data Management
Machine Learning Operations
Databricks

Job description

CIBC Global Markets Technology develops a diverse range of software and platforms to support CIBC's trading activities. These include systems for managing the risk of the derivatives book, leveraging data science and machine learning, and the development of front end systems used by the business.

We have made a substantial investment in building a robust data platform centred around Databricks, which now captures extensive data flows across all aspects of our business.

In this role, you will serve as an MLOps Engineer, leading the development of a platform designed to empower users-both within and beyond technology teams-to build and deploy AI systems effectively. You will collaborate closely with the Quant Solutions Group, which delivers quantitative and AI-driven solutions to Capital Markets, as well as with developers from trading and sales teams.

As an exceptional engineer, you will bring significant expertise in Python and demonstrate a deep understanding of machine learning practices from an engineering perspective. You will excel at designing tools and systems that enable others to streamline their ML development and deployment processes and be a thought leader in MLOps., * Lead the development of AI/ML CI/CD pipelines and frameworks to support AI/ML and Data Science solutions on the Azure Databricks platform.

  • Define and implement systems to manage the full AI/ML lifecycle, including data, models, and monitoring, from both development and production perspectives.
  • Collaborate with Data Scientists quant, sales and trading teams to build, monitor, and maintain AI/ML solutions.
  • Leverage the latest advancements in Generative AI and Large Language Model technologies and frameworks.
  • Design and build systems that enable agentic workflows to be deployed, driving automation and efficiency.

CROSS-FUNCTIONAL RELATIONSHIPS

  • This role will involve working closely with other technology partners as well as data scientists throughout the business.

COMPLIANCE REQUIREMENTS/RESPONSIBILITIES

  • As an employee of CIBC, the incumbent must comply with all applicable CIBC and Line of Business policies, standards, guidelines and controls.

AUTHORITIES/DECISION RIGHTS

  • This role has the authority to make architectural decisions about the MLOps environment
  • This role has the authority to make changes to the devops environments used within the quant group., A leading financial services firm in Greater London is seeking a Machine Learning Operations Engineer to enhance client offerings through predictive modeling. Candidates should have strong experience with Azure ML, data management, and model optimization. This hybrid role..., A leading financial services firm based in London is seeking a Machine Learning Operations Engineer to manage and enhance machine learning models. The role involves designing, deploying, and optimizing models using Azure ML, as well as collaborating closely with actuarial...

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Requirements

Above all we are looking for a top class ML ops engineer with excellent interpersonal skills. We want to hear from a wide range of applicants. Although individual candidates will come with diverse backgrounds, the following specific attributes are a useful guide to the level of performance expected:

  • A degree in Computer Science or related subject (or equivalent knowledge)
  • 7+ years of hands-on experience building AI/ML systems
  • 3+ Years of hands-on MLOps experience
  • Expert Python programmer
  • Expert in devops platforms like Github Actions
  • Deep knowledge of Databricks usage and APIs
  • Experience in working with Kubernetes, ideally AKS
  • Experience in infrastructure-as-code
  • A solid practical understanding of AI/ML models and algorithms, LLMs, agentic AI and the platforms used to build them
  • A solid understanding of databases
  • Experience deploying agentic systems a plus
  • Excellent interpersonal skills, teamwork and communication.
  • Highly motivated with a genuine passion for finding elegant and practical solutions to technical problems, You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit, AI Systems, AI Systems, Algorithms, Application Development, Application Programming Interface (API), Automated Build Systems, Automation, Business, Capital Markets, CI/CD, Coaching, Collaborating, Communication, Computer Science, Cross-Functional Teamwork, Databricks Platform, Data Science, Decision Making, Derivatives, Design, DevOps, End Systems, Enterprise Technologies, Generative AI, GitHub Actions {+ 13 more}

Benefits & conditions

  • This role operates within a normal office environment with some scope for partial remote working.

What you need to know

  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact

About the company

We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients. At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute., We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We're on the verge of solving one of the biggest challenges in education -..., A technology company in Greater London is seeking a Software & ML Engineering Manager for new products. This 0-to-1 leadership role involves building a high-caliber team to develop new solutions that utilize telematics data. Responsibilities include recruiting, managing..., A leading technology company in the United Kingdom is seeking a Software Engineering Manager to lead teams in Core Ads Growth. In this role, you will guide experienced engineers in enhancing user ad experiences and impact millions. Responsibilities include mentoring..., We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We...

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