Senior Software Engineer, ML Operations

Posted 15 Days Ago
Be an Early Applicant
Hiring Remotely in Flexia, Sarthe, Loire
In-Office or Remote
145K-165K Annually
Senior level
Fintech
The Role
Join a collaborative MLOps team to deploy and monitor machine learning models, optimize pipelines, and support data scientists with automation tools, enhancing production environments.
Summary Generated by Built In
Best Egg is a market-leading, tech-enabled financial platform helping people build financial confidence through a variety of installment lending solutions and financial health tools. We aim to help customers make smart financial decisions and stay on track, so they can be money confident no matter what life throws at them.
We offer top-tier benefits and growth opportunities in a culture built on our core values:

Put People First – We foster an inclusive, flexible, and fun workplace.
Create Clarity – Open communication drives trust and results.
Get Things Done – We focus, prioritize, and deliver with excellence.
Deliver with Heart – We lead with kindness, humility, and strong teamwork.
Listen to Our Customers – Their needs drive our innovation.
 
Barclays has entered into an agreement to acquire Best Egg with closing expected to take place in Q2 2026. This acquisition will give us the resources and capital to continue on our mission and drive our strategy forward. With an aligned culture, lower cost of funds, and increased employee growth opportunities across a global brand, we are excited about the future of the Best Egg brand under the Barclays umbrella.
We are looking for collaborative, innovative team players who like to solve problems. There will also be immense opportunities for those willing to dive in. If you're inspired by growth and want to make a real difference, Best Egg is the place for you.

 We’re proud to be an equal opportunity employer committed to building a diverse, inclusive team.

Data is at the heart of everything we do. Join a Data & MLOps team working at the cutting edge within our industry and constantly advancing our ML/AI practice. Working with dedicated Data Science partners, we are creating machine-learning models that power innovation and creative insights, pioneering new products, and helping our business reach the next level. We work on diverse projects across all business units within the company and have a direct engagement model between data engineers, data scientists, software engineers, and business stakeholders.

Join a collaborative group of Data Scientists skilled in predictive analytics and help them deploy and monitor real-time production-grade models in projects spanning the business—from credit risk and direct marketing targeting to fraud operations and beyond! Enjoy the stability of a profitable, award-winning Fintech and challenge yourself with plenty of growth and upward mobility within a data-rich environment. Be a part of a growing team using the latest tools and technologies to disrupt the industry and empower our customers to reach their financial goals.

Role Highlights

  • Take ownership of an ML deployment system spanning multiple production environments and continue to research efficient and effective strategies.
  • Improve, expand, and streamline our existing deployment pipelines to support faster deployments and automated model retraining.
  • Collaborate with Data Scientists to understand model requirements and provide guidance to ensure seamless integration with production environments.
  • Develop automations that empower data scientists to self-serve, remove manual steps from our processes, and streamline their training workflows.
  • Build and maintain production-level inference environments, including low-latency real-time APIs and batch predictions, and monitor these environments to ensure uptime, resiliency, and latency SLAs are met.
  • Work with modern CI/CD tools to deploy ML/AI models at scale in a production setting.
  • Drive the deployment and optimization of custom AI and LLM models, supporting data scientists and AI engineers in fine-tuning, evaluating, and serving large language models for real-world use cases.
  • Contribute to the infrastructure, pipelines, and monitoring needed for generative AI systems, including vector databases, prompt orchestration frameworks, and scalable inference services.
  • Enjoy a great company culture rich in collaboration, teamwork, no politics, learning, and frequent wins.

To Be Successful in This Role

  • At least five (5) years of professional engineering experience or work program equivalents in a relevant field.
  • Experience in operationalization of Data Science projects (MLOps) on AWS; specific experience with EKS, Lambda, Step Functions, and SageMaker.
  • Experience designing, building, and operating container-based cloud infrastructure with Terraform and other infrastructure-as-code tools in a production setting.
  • Experience in CI/CD pipeline implementation; experience with ArgoCD, Argo Workflows, and GitHub Actions a plus.
  • Proficiency in Python for both ML and general software engineering tasks; good knowledge of Bash and Unix command line tools.
  • Extensive knowledge of the machine learning development lifecycle and associated tooling; demonstrated experience with Metaflow, Flyte, Kubeflow, etc.
  • Demonstrated experience building production-grade, RESTful APIs for ML products; experience building data scientist tooling a plus.
  • Hands-on experience with AI model development, fine-tuning, or deployment—particularly with large language models (e.g., OpenAI, Anthropic, Hugging Face, or custom transformer-based models).
  • Knowledge of modern AI infrastructure tools such as vector databases (e.g., Pinecone, FAISS, or Weaviate), model-serving platforms, and prompt management frameworks.
  • Ability to work in a fast-paced environment and strong technical communication skills.
  • Enjoy a culture rich in direct communication, no politics, and continual learning—where we celebrate success and have fun too.

Employee Benefits
Best Egg offers many additional benefits for our employees, including (but not limited to):
·       Pre-tax and post-tax retirement savings plans with a competitive company matching
program
·       Generous paid time-off plans including vacation, personal/sick time, paid short--
term and long-term disability leaves, paid parental leave, and paid company
holidays
·       Multiple health care plans to choose from, including dental and vision options
·       Flexible Spending Plans for Health Care, Dependent Care, and Health
Reimbursement Accounts
·       Company-paid benefits such as life insurance, wellness platforms, employee
assistance programs, and Health Advocate programs
·       Other great discounted benefits include identity theft protection, pet insurance,
fitness center reimbursements, and many more!
#LI-REMOTE

In compliance with the CCPA, Best Egg is fully committed to handling the personal information and data of employees and job applications responsibly with respect and due care. Review our CCPA Employee Policy  here 

Top Skills

Argo Workflows
Argocd
AWS
Bash
Ci/Cd
Eks
Flyte
Github Actions
Kubeflow
Lambda
Metaflow
Python
Restful Apis
Sagemaker
Step Functions
Terraform
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The Company
HQ: Wilmington, DE
498 Employees
Year Founded: 2013

What We Do

Best Egg is a consumer financial technology platform that aims to help people feel more confident about their everyday finances through a suite of products and resources. Our digital financial platform offers simple, accessible, and personalized financial solutions including personal loans, credit cards, and a financial health resource center.

Our culture and values are one of the core reasons why our customers keep returning to Best Egg. We are committed to championing a culture of inclusiveness and diversity of thought, and we focus on providing a safe, flexible, and collaborative work environment. Our associates are encouraged to engage in creative problem solving, and we promote opportunities for growth and enrichment across the organization.

If you are inspired by inspiring others, Best Egg is the place for you.

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