At a Glance
- Tasks: Drive digital transformation by evaluating AI systems for a leading UK retailer.
- Company: Join a top retailer focused on innovative tech solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on safety, compliance, and continuous improvement.
- Why this job: Make a real impact on customer experiences using cutting-edge AI technologies.
- Qualifications: Strong understanding of LLMs, Python skills, and experience in evaluation frameworks.
The predicted salary is between 80000 - 98000 £ per year.
This role will have a significant impact on delivering innovative solutions for one of the leading retailers in the UK, driving digital transformation and enhancing customer experiences. You’ll work on projects that leverage cutting-edge technologies such as microservices, event-driven architectures, and cloud platforms, contributing to scalable, secure, and high-performing systems.
Your responsibilities:
- Define and implement end-to-end evaluation strategy for generative AI conversational systems (LLMs, RAG pipelines, agents).
- Establish evaluation metrics.
- Test Dataset & Benchmarking.
- Benchmark models (GPT variants, open-source LLMs) and prompt strategies.
- Implement automated evaluation pipelines.
- Conduct human-in-the-loop evaluation for qualitative validation.
- Prompt & Response Quality Optimization.
- RAG & Knowledge Grounding Validation.
- Safety, Risk & Compliance Testing.
Your Profile:
- Strong understanding of LLMs, RAG architecture, prompt engineering.
- Python – data analysis, evaluation pipelines.
- Prompt evaluation tools (PromptTools, DeepEval, etc.).
- Experience with Evaluation Framework Design.
- Establish Evaluation metrics & NLP quality assessment.
- Test Dataset and benchmarking.
- LLM output evaluation and scoring.
- Safety, risk and compliance testing.
- Tooling and automation.
Familiarity with Responsible AI principles and customer support/retail conversational flows. Analytical mindset with ability to translate model behaviour into actionable improvements.
AI Evaluation Engineer in London employer: Tcs Uk
As a Data Governance Specialist at our company, you will be part of a dynamic team dedicated to driving customer excellence through robust data governance practices. We pride ourselves on fostering a collaborative work culture that values innovation and continuous learning, offering ample opportunities for professional growth in a supportive environment. Located in a vibrant area, our workplace not only provides a stimulating atmosphere but also encourages a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Evaluation Engineer in London
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We think you need these skills to ace AI Evaluation Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Tcs Uk, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tcs Uk. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tcs Uk
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
