The Role
At TLA we’re consumer champions in the automotive space. As such we are elevating our internal customer support chatbots to new heights. As the AI developer on our growing team, you’ll play a crucial role in optimizing our chatbots in terms of accuracy, latency and overall response quality. As well as this, you could get stuck into optimizing lead quality models, forecasting and more!
You’ll collaborate with passionate colleagues in a supportive environment that embraces bold thinking, continuous learning, and professional growth. This is an opportunity to help shape the future of data at TLA as we build a scalable, high-impact platform that powers better insights and decision-making.
Why Join TLA?
TLA is a fast-moving, innovative digital business that partners with some of the biggest automotive brands—including the Volkswagen Group, BMW Group, and Ford. Founded over 20 years ago, and with long standing team members we’ve built a close-knit, ambitious team that’s passionate about pioneering technology to drive car sales.
We offer a supportive and collaborative environment, where you’ll have the opportunity to grow and make an impact. Our hybrid model (2 days per week in our fantastic Liverpool city centre office) enables in-office teamwork and collaboration. We’re a highly driven bunch that believes in respect, hard work, and giving back through charitable events and sporting efforts—everything from hiking to skydiving!
What you will be doing:
You’ll play a key role in improving our chatbot products by:
- Data Preparation: Collaborate with software engineers to ensure data is prepared and curated for use in retrieval augmented generation (RAG) or model training, including data cleaning and feature engineering.
- Testing & Evaluation: Conduct rigorous testing and evaluation of models to ensure accuracy, efficiency, and scalability, and refine models based on performance metrics.
- Performance Optimization: Optimizing the accuracy and latency of our RAG chatbots, working with product managers to ensure it meets stakeholder expectations.
- Deployment: Deploy AI models into production environments, monitor their performance, and iterate based on user feedback and business needs.
- Documentation: Document model designs, development processes, and integration workflows for future reference.
- Research: Staying up to date with the latest advancements in AI technologies and methodologies and applying them where applicable.
What you’ll need to Succeed in the Role:
- Degree in a related field (Computer Science, Data Science, Statistics, Physics, etc.)
- 2 or more years in a related role. (Data Scientist, AI Developer, Machine Learning Engineer).
- Strong skills in Python and SQL server.
- Understanding of CI/CD pipelines and writing maintainable, high-quality code.
- Excellent communication skills—you’ll be explaining complex data concepts to technical and non-technical stakeholders alike.
- Solid foundational knowledge of NLP.
- Experience with at least one cloud provider. (Azure, AWS, GCP etc.)
- Experience working on traditional data science problems i.e., regression, classification on tabular datasets.
Nice-To-Have Skills:
- Understanding/Experience of creating RAG chatbots.
- Experience with Microsoft Azure
- Experience improving the performance of REST APIs.
- Master’s degree in data science/computer science.
This role is only open to those with the right to work in the UK without the need for sponsorship or visa, now or in the future. Please do not apply unless you have the required skills and experience as your application will not be considered.