Senior AI Engineer
SKILLS
FULL DESCRIPTION
[Employer hidden — view at passion-project.co.uk] is seeking a Senior AI Engineer to build AI-powered systems for financial and legal workflows, utilizing cutting-edge technologies and collaborating with a growing data science team.
The Opportunity
The Data Science team is growing at [Employer hidden]! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer to accelerate our application of AI across teams and products. Come and join us, you will get to build large-scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers!
Every day is different, but here's an example of the kind of things you'll work on:
- Design and build generative AI applications tailored to complex financial and legal workflows, leveraging state-of-the-art models to deliver innovative, practical solutions that streamline decision-making and unlock new efficiencies.
- Drive end to end model development lifecycle, leading the team in best practices, ensuring reproducible research and well managed model delivery/deployment.
- Collaborate cross functionally to share diverse ideas, understand business problems, and elevate/mentor your teammates.
- Translate complex problems into well-defined scoped bets in an internal startup style environment, dynamic and fast-paced.
- Learn and apply ground-breaking research and approaches in advanced topics, iterating improvements with a fail fast mentality.
- Be a proactive sharer of compelling ideas/work to the rest of the team and organisation. We want you to help lead/push the adoption of AI throughout [Employer hidden].
About You
This role will be a great fit if you:
- Strong proficiency in Python for production ready delivery.
- Deep understanding of the GenAI landscape and agentic frameworks.
- Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs.
- Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals!
- Good knowledge of AWS’s AI infrastructure.