Junior AI Engineer

London, England

Rimes

Reach a higher standard of enterprise performance with Rimes’ investment data management solutions.

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About Rimes

Rimes provides enterprise data management solutions to the global investment community. Driven by our passion for solving the most complex data problems, we provide our clients with investment intelligence that powers more than US$75 trillion in assets under management annually. The world’s leading institutional investors, asset managers and service providers rely on Rimes to help them make better investment decisions using accurate information and industry-leading technology.

The Opportunity:

In this role, you will aid in the design and implementation of machine learning solutions for our investment management platform. This is an excellent opportunity for a recent graduate or current student to gain hands-on experience and further develop technical skills in a dynamic and collaborative environment related to artificial intelligence (AI), machine learning (ML), and model Python-based context protocols (MCP).

What you will do:

  • Assist in AI/ML Solution Design and Implementation: Support the design and implementation of innovative AI and ML solutions with a focus on our investment management platform, utilizing Python and advanced computing methods.
  • Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, IT, and customer service departments to ensure robust and scalable AI/ML solutions.
  • Learn and Apply Industry Best Practices: Gain knowledge of AI and ML best practices, software development methodologies, and apply them to improve processes and workflows.
  • Support Development of New Capabilities: Assist in the delivery of new AI/ML capabilities at both a solution and platform level.
  • Participate in Transformation Projects: Contribute to transformation projects aimed at leveraging AI/ML to enhance our service offerings and client experience.

Who you are:

  • Educational Background: Pursuing or holding a Bachelor's degree in computer science, software engineering, data science, or a related STEM field.
  • Technical Skills: Good understanding of AI and ML principles, statistics, software development methodologies, and proficiency in Python. Familiarity with libraries such as Pandas, NumPy, scikit-learn, NLTK and similar frameworks is advantageous.
  • Communication and Collaboration: Strong communication and collaboration abilities to work effectively with cross-functional teams in an AI/ML context.
  • Eagerness to Learn: A commitment to ongoing learning, staying current with AI/ML industry best practices, and exploring emerging technologies.
  • Passion for AI/ML Product Engineering: A results-driven, strategic thinker with a passion for AI/ML product engineering and a desire to innovate and shape the future of software solutions in investment management.

This role is tailored for individuals with a keen interest in AI, ML, Python, and MCP, looking to make a meaningful impact in the investment management domain through cutting-edge technology and collaborative efforts.

What We Offer:

  • AXA Gym Membership Discount
  • Healthshield Cashback plan
  • Healthshield Perks platform (Breeze)
  • MetLife Afterlife Support
  • Metalife GP 24 hour virtual GP service
  • Annual ‘purchase holiday’ scheme
  • Chubbs Travel Insurance
  • Group Income Protection scheme
  • Death in Service Funds
  • Referral bonus

Compensation: Competitive pay and bonus eligibility

Work Life Balance: Flexible hybrid work environment

Our Values:

  • Client excellence
  • Innovation
  • Integrity
  • Empowerment

Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.

Rimes is committed to promote the values of diversity and inclusion throughout the business. Whether it’s through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.

Visit our Careers page to see our complete listings.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  7  2  0

Tags: Computer Science Data management Engineering Machine Learning NLTK NumPy Pandas Python Scikit-learn Statistics STEM

Perks/benefits: Career development Competitive pay Fitness / gym Salary bonus

Region: Europe
Country: United Kingdom

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