At a Glance
- Tasks: Build and improve AI-powered data products with cutting-edge Generative AI technologies.
- Company: Join Acuity Analytics, a global leader in digital transformation and AI solutions.
- Benefits: Flexible location, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on people and career development.
- Why this job: Make a real impact by solving complex problems with innovative AI solutions.
- Qualifications: 5+ years in Data Engineering or AI, strong Python and SQL skills required.
The predicted salary is between 70000 - 90000 £ per year.
Please note that we are flexible on location, provided you are able to work within US time zones.
About Us
Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.
About the role
We're looking for a Senior AI & Data Engineer (GenAI & LLM Evaluation) to help build and improve AI-powered data products. Working alongside Data Scientists, Engineers, and Delivery teams, you'll develop scalable data pipelines, build GenAI evaluation frameworks, and deploy production-ready AI solutions. This is a hands-on role where you'll own solutions from design through to deployment while working on cutting-edge Generative AI technologies. If you enjoy solving real-world problems and building practical AI solutions that make an impact, we'd love to hear from you.
Skills and experience required
- Core skills
- 5+ years' experience in Data Engineering, Machine Learning, AI Engineering, or Data Science.
- Strong Python and SQL skills.
- Hands-on experience with Generative AI and Large Language Models (LLMs).
- Experience evaluating LLMs using golden datasets, model benchmarking, or LLM-as-a-Judge techniques.
- Experience building and deploying production-ready ML solutions.
- Strong understanding of data pipelines, validation, and quality frameworks.
- Experience integrating APIs and cloud-based AI services.
- Soft skills
- Strong problem-solving and analytical skills.
- Comfortable owning solutions end-to-end.
- Excellent communication and stakeholder management.
- Experience working in Agile, cross-functional teams.
- Consulting or customer-facing experience is a plus.
What you will do
- Build and maintain scalable data pipelines and workflows.
- Develop evaluation frameworks for GenAI and LLM applications.
- Create and maintain golden datasets for model testing.
- Evaluate and benchmark LLM performance.
- Build ML-assisted tools to improve delivery and automation.
- Deploy production-ready AI solutions.
- Work closely with delivery teams to solve technical challenges.
- Continuously improve data quality, automation, and operational efficiency.
Why join us
People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive.
If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.
Senior Applied AI Engineer (GenAI & LLM Evaluation) employer: Acuity Analytics
At Acuity Analytics, we pride ourselves on being an exceptional employer that values innovation, collaboration, and personal growth. As a Principal Cloud & Platform Engineer, you will be part of a dynamic team that not only tackles complex challenges but also fosters a supportive work culture where your contributions are recognised and your professional development is prioritised. With opportunities to mentor future leaders and influence engineering strategy, you'll find a rewarding environment that encourages continuous improvement and embraces cutting-edge technologies.
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We think this is how you could land Senior Applied AI Engineer (GenAI & LLM Evaluation)
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We think you need these skills to ace Senior Applied AI Engineer (GenAI & LLM Evaluation)
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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✨Brush Up on Your Statistics
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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.
