Working at 4most

We are not your typical consultancy firm; with over 250 credit risk and actuarial consultants our colleagues own a significant share of the business, and we have ambitious plans to grow even further.

As experts in our field, we are passionate about what we do and embrace diversity; we've created a fun and innovative environment where technical minds flourish. Individual success is not measured by the size of your team or the hours you work, it's the unique value you bring to the community. We want our people to think differently and challenge the status quo.

Our people are our biggest asset, having been voted the Best Company to work for at the 2023 Credit Strategy Awards, Best Management Consultancy Firm MEA Finance UAE 2022 and Women in Credit Employer of the Year for 2022, our awards speak for themselves. We reward teamwork and believe value should be shared with all who contribute.

We are passionate about what we do and making a difference, so we're aiming to reduce emissions and be carbon neutral (including scope 1, 2 & 3) by 2025. As an aspiring B-Corp we want to work with people and clients who share our values.

Position Summary

4most are looking for a Staff Machine Learning Ops Engineer to build and maintain cloud infrastructure that supports the deployment of AI & ML models and algorithms into applications and APIs that are optimized for performance, cost and usability.

In the rapidly evolving world of AI & ML automation our Staff MLOps Engineer will be challenged each day. From the design and implementation of a new MLOps framework for 4most to debugging the ML pipelines from data ingestion to delivering outcomes to front end applications - each day will provide exciting and challenging experiences.

We expect you to be a hands-on engineer with first-rate analytical skills and an intrinsic drive to overcome obstacles. You will work with a small but diverse team to deliver high-quality, maintainable products for both 4most and our clients in a fast-paced environment.

As the team grows, you will also mentor and coach junior engineers, conduct code reviews, and ensure that the products meet the requirements and standards of the specific project. The role will be primarily working with internal stakeholders but will, as necessary, require interacting with clients to provide technical expertise.

Key Responsibilities

Develop, maintain, and improve the CI/CD framework for scalable AI & ML model testing, evaluation, and optimisation, with a strong desire to automate
Assist in identifying and addressing issues in ML frameworks and associated compute
Work on enhancing user experiences by improving the performance and accuracy of generative large language and machine learning models
Support model development, with an emphasis on auditability, versioning, and data security
Identify and evaluate new technologies to improve performance, maintainability, and reliability of ML systems
Provide education, collaborative support and enthusiasm in your area of expertise for 4most and our clients
Collaborate with cross-functional teams across 4most (Consultants, Client Partners, Data Engineers, Data Scientists, Software Engineers) and work towards shipping of robust AI products and service

Requirements

A higher degree (PhD or MSc) in Computer Science, Math, Physics, Statistics, Quantitative Applied Sciences OR related areas
5+ years of demonstrable experience of design, implementation and maintenance in AI/ML related engineering.
Advanced knowledge of Python and ML Flow
Proven capability with general cloud engineering concepts including CI/CD, access and security, compute optimisation, database design and management.
Experience working with Infrastructure as Code
Exposure to machine learning methodology and best practices

You should have extensive, hands-on experience working on at least one of:  

Applying AI / ML methodologies in production to build data-driven products for solving business problems
Working with model and feature repositories, model performance analysis (monitoring), dataset management, versioning, creating tools for system debugging
Databricks or similar cloud-based machine learning frameworks

Benefits

Salary dependant on experience plus:

25 days' holiday (freedom holiday scheme)
Annual bonus
50% sponsorship towards relevant courses (e.g. professional qualification, Masters, PhD etc)
Private health insurance.
Juno wellbeing platform (£50 per month to spend on anything to help with wellbeing; £50 per month to spend on anything fitness-specific)
Pension (4most matches contributions between 4.5% and 6% of your basic salary)
Death-in-service life assurance at 3x salary
Cycle-to-work scheme
Electric Vehicle scheme
Income protection

4most jobs

Staff Machine Learning Ops Engineer - AI/ML Products & Services