Lead Machine Learning Ops Engineer - Leeds

Leeds, England, United Kingdom

12/11/2024

Working at 4most

We are not your typical consultancy firm; with over 250 credit risk, actuarial and market risk 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 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.

Your future team

We support our clients and colleagues in the UK, Europe, India and the Middle East in solving their AI and ML automation problems. 4most work across the insurance and banking sectors with diverse clients and teams to support their AI & ML automation projects. Whether it is working to develop new products for clients or applications to accelerate processes for your colleagues there will always be exciting projects to get stuck into.

Position Summary

4most are looking for a Lead 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 Lead MLOps Engineer will be challenged each day. From the design and implementation of a new MLOps framework for 4most to debugging the ML pipelines or from designing data ingestion to delivering outcomes to front end Generative AI 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.

You will also have the opportunity to mentor and coach a small number of 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 may, on occasion, require interacting with clients to provide technical expertise.

What You'll Do

• 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 based systems 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, Cloud/Software Engineers) and work towards shipping of robust AI products and service.
  
  

Your background

• A higher degree (PhD or MSc) in Computer Science, Math, Physics, Statistics, Quantitative Applied Sciences or related areas.
• 3+ 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 and Generative AI methodology and best practices.
  
  

You should have extensive, hands-on experience 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 from £70,000-90,000 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.
• Income protection.
• Phone bill expenses of up to a maximum of £40.
• Electric Vehicle scheme.
• Cycle-to-work scheme.