AI Software Engineer

London, London, United Kingdom

WTW

Bei WTW bieten wir datengesteuerte, evidenzbasierte Lösungen in den Bereichen Mitarbeiter, Risiko und Kapital an.

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This role offers a unique chance to drive impactful change at WTW, a leading global financial services organization. You'll focus on practical software delivery, adapting to the most valuable business needs, and using your expertise to make a significant difference.

We’re looking for someone who can hit the ground running, build high-quality solutions, and challenge technical decisions to ensure the best outcomes. If you have a detail-oriented approach, excellent analytical and problem-solving skills, and a passion for innovation, we’d love to hear from you.

The Role

  • Leveraging your expertise and passion for technology to develop cutting-edge solutions with a focus on Python and AI applications. Build domain knowledge in data-driven solutions, traditional AI and generative AI to push the boundaries of our software capabilities.
  • Work closely with business and technical leadership to ensure impactful delivery and alignment on business goals and priorities.
  • Demonstrate agility and creativity, challenging established development processes to enhance efficiency and effectiveness. Stay abreast of the latest technology trends and innovations, particularly in AI and machine learning.
  • Driving and expanding the technical architecture, ensuring enhancements and solutions align with the overall vision and architecture strategy.
  • Support small delivery teams with engineering expertise focusing on team progress and success. Foster an environment of collaboration and innovation, helping guide team members to achieve their full potential.
  • Follow and promote best practices in software development. Collaborate on low-level design, conduct code reviews, and continuously improve development practices.
  • Provide guidance and support to junior team members, fostering a culture of learning and on-going improvement.

Essential:

  • Minimum of 5 years of experience in software development, with a focus on Python and AI applications and more recently exposure to generative AI patterns.
  • Demonstrable competency in Python, with experience using modern data & AI tools. For example SciPy, PyTorch, pandas, polars, and NumPy, FastAPI, LangChain & LangGraph.
  • Hands-on experience with cloud infrastructure, service design, including deploying applications and managing cloud-based services.
  • Proficiency in designing and writing APIs, integrating with cloud platforms, and other services to deliver scalable and robust solutions.
  • Experience with CI/CD tooling and modern software dev tooling such as GitHub/Azure DevOps and other relevant platforms to automate and streamline software development and solution deployment processes.
  • Experience in developing and deploying containerized services using technologies like Docker.
  • Extensive experience in agile delivery methodologies, with a strong focus on iterative and collaborative development.
  • Excellent communication skills with the ability to solve problems creatively and rapidly, both independently and as part of a team.

Desirable:

  • Bachelor's degree in a quantitative discipline (Mathematics, Science, or Computer Science).
  • Experience building and working with mathematical and statistical algorithms and AI models.
  • Proficiency in Angular or React and experience with C# or Rust would be advantageous for the role.
  • Experience in true DevOps Infrastructure as Code, Terraform, Bicep, Pulumi or similar.
  • Experience in deploying to and managing Kubernetes
  • Experience in the financial services industry, particularly in insurance or insurance broking, or the ability to quickly adapt to a new, unfamiliar environment.

The successful applicant will report to the Risk Technology AI Solution Lead. The role offers hybrid working with travel to office expected on a regular cadence for meetings and workshops. Some occasional travel may be required as part of the engagement with business and technology stakeholders.

 

 

Equal Opportunity Employer 

At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.

At WTW, we trust you to know your work and the people, tools and environment you need to be successful. The majority of our colleagues work in a ”hybrid” style, with a mix of remote, in-person and in-office interactions dependent on the needs of the team, role and clients. Our flexibility is rooted in trust and “hybrid” is not a one-size-fits-all solution.

 

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Tags: Agile Angular APIs Architecture Azure CI/CD Computer Science DevOps Docker Engineering FastAPI Generative AI GitHub Kubernetes LangChain Machine Learning Mathematics NumPy Pandas Python PyTorch React Rust SciPy Statistics Terraform

Region: Europe
Country: United Kingdom

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