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- Tasks: Build AI helpdesk systems and optimise data pipelines for better responses.
- Company: Join a forward-thinking tech company in Sheffield with a collaborative vibe.
- Benefits: Enjoy competitive pay, health perks, and flexible remote work options.
- Other info: Great opportunities for career growth and learning in an innovative team.
- Why this job: Make a real impact in AI while developing your skills in a dynamic environment.
- Qualifications: Strong Python skills and experience with data engineering and retrieval systems.
The predicted salary is between 50000 - 70000 £ per year.
We are looking for a Machine Learning Engineer at Sheffield, UK – 3 days per week Onsite.
Role Summary
Build the knowledge, retrieval, and evaluation layer that allows the AI helpdesk to answer accurately and safely.
Key responsibilities
- Build and maintain data pipelines for IT knowledge articles, SOPs, ticket history, and troubleshooting content.
- Develop RAG pipelines, embeddings, indexing, and retrieval optimization.
- Improve answer quality using chunking, ranking, filtering, and grounding techniques.
- Create evaluation datasets and automated quality tests for accuracy, hallucination, and task completion.
- Support model selection, tuning, and performance benchmarking.
- Work with engineering teams to improve response quality and reduce failure rates.
Required skills
- Strong Python and data engineering skills.
- Run data quality testing, verify LLM results etc.
- Experience with vector databases, embeddings, and retrieval systems.
- Experience building ETL/data pipelines for structured and unstructured data.
- Understanding of LLM evaluation, experimentation, and model performance metrics.
- Familiarity with SQL, APIs, and cloud data platforms.
- AWS (preferred), GCP exposure.
Preferred
- Experience with enterprise knowledge systems and ticket datasets.
- Experience with fine-tuning, reranking, or search relevance optimization.
Software Engineer in Sheffield employer: GIOS Technology
Contact Detail:
GIOS Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data pipelines and machine learning. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are eager to join us. Plus, it shows you're genuinely interested in being part of the team.
We think you need these skills to ace Software Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Machine Learning Engineer. Highlight your Python skills, data engineering experience, and any relevant projects that showcase your ability to build and maintain data pipelines.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your skills align with our mission at StudySmarter. Don’t forget to mention any experience with vector databases or ETL processes.
Showcase Relevant Projects: If you've worked on projects involving LLM evaluation or retrieval systems, make sure to include them in your application. We love seeing practical examples of your work that demonstrate your problem-solving skills and technical expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at GIOS Technology
✨Know Your Tech Stack
Make sure you’re well-versed in Python and data engineering concepts. Brush up on your knowledge of vector databases, embeddings, and retrieval systems. Being able to discuss your experience with ETL/data pipelines will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, especially around improving answer quality or reducing failure rates. Use the STAR method (Situation, Task, Action, Result) to structure your responses and make them impactful.
✨Familiarise Yourself with LLM Evaluation
Understand the key metrics for evaluating large language models and be ready to discuss your experience with model selection and performance benchmarking. This will demonstrate your technical depth and commitment to quality.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI helpdesk solutions and their data pipeline strategies. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.