Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build AI-powered helpdesk systems and optimise data pipelines for better responses.
- Company: Join a forward-thinking tech company in Sheffield with a hybrid work culture.
- Benefits: Earn £450 per day, enjoy hybrid working, and gain valuable experience.
- Other info: 6-month contract with opportunities for growth and learning.
- Why this job: Make a real impact in AI while developing your skills in a dynamic environment.
- Qualifications: Strong Python skills and experience in data engineering and machine learning.
The predicted salary is between 94500 - 94500 £ per year.
About the role:
As a Machine Learning Engineer with expertise in AI/GenAI and data engineering, you will collaborate with our client's engineering and AI development teams. You will be responsible for building the knowledge, retrieval, and evaluation layer that enables an AI-powered helpdesk to provide accurate and safe responses.
Job Details:
- Location: Sheffield
- Contract: 6 months
- Hours: 37.5 hours a week, Monday-Friday
- Working Pattern: Hybrid - (3 days onsite a week)
Roles and Responsibilities:
- Build and maintain data pipelines for IT knowledge articles, SOPs, ticket history, and troubleshooting content
- Develop RAG pipelines, embeddings, indexing, and retrieval optimisation
- 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
Other stuff we’re potentially looking for:
- Strong Python and data engineering skills
- Experience running data quality testing and verifying LLM results
- 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), with GCP exposure
- Experience with enterprise knowledge systems and ticket datasets
- Experience with fine-tuning, reranking, or search relevance optimisation
What’s in it for you?
- This is a 6 months contract role (duration to be confirmed)
- A daily rate, in-scope IR35, of £450 per day (via a Hays Approved Umbrella Company)
- This role provides hybrid working access in Sheffield (3 days onsite per week)
Next Steps:
Once you’ve applied, one of our friendly recruitment consultants will give you a call and talk you through the screening process. If your application is successful, you’ll be involved in a live virtual interview with one of our client’s hiring managers to get to know you better. We look forward to speaking to you!
Machine Learning Engineer in Sheffield employer: Hays Specialist Recruitment Limited
Contact Detail:
Hays Specialist Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills, especially around Python and data engineering. Practice common interview questions related to machine learning and be ready to showcase your projects.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your skills and interests. Tailor your approach to each company’s culture and values.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds as they make decisions.
We think you need these skills to ace Machine Learning Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your Python skills, data engineering experience, and any relevant projects you've worked on. We want to see how your background fits with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/GenAI and how your skills can contribute to building that AI-powered helpdesk. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Experience: When filling out your application, be sure to showcase any experience you have with data pipelines, LLM evaluation, or cloud platforms like AWS. We’re keen to see how your past work aligns with the responsibilities of this role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Hays Specialist Recruitment Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python and data engineering skills. Be ready to discuss your experience with building ETL/data pipelines and how you've tackled challenges in data quality testing. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've improved answer quality using techniques like chunking and ranking. Think of a couple of scenarios where you optimised retrieval systems or worked with LLM evaluation metrics. Real-world examples will impress the hiring managers!
✨Familiarise Yourself with Their Tools
Since the role involves working with AWS and possibly GCP, make sure you know your way around these platforms. If you have experience with vector databases and APIs, be ready to share how you've used them in past projects.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about their current projects or challenges they face with their AI-powered helpdesk. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.