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- Tasks: Build AI-powered helpdesk systems and optimise data pipelines for better responses.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive daily rate, hybrid work model, and a chance to enhance your skills.
- Other info: 6-month contract with excellent career growth opportunities.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: Strong Python skills and experience in data engineering and AI.
The predicted salary is between 45000 - 45000 £ per year.
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.
Contract: 6 months
Hours: 37.5 hours a week, Monday-Friday
Hybrid - (3 days onsite a week)
- 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
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
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).
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.
Machine Learning Engineer - Hybrid Remote 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 - Hybrid Remote in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working as Machine Learning Engineers. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Prepare for that virtual interview! Brush up on your technical skills and be ready to discuss your experience with data pipelines, LLM evaluation, and Python. Practise common interview questions and maybe even do a mock interview with a friend.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant machine learning projects, make sure to highlight them during interviews. Having tangible examples of your work can really set you apart from other candidates.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Machine Learning Engineer - Hybrid Remote 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 aligns with the job description!
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 detailing your experience, focus on projects that involved data pipelines, LLM evaluation, or any work with vector databases. We’re looking for specific examples that demonstrate your expertise and problem-solving skills in these areas.
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 ETL/data pipelines, vector databases, and retrieval systems. The more specific examples you can provide about your past projects, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles, especially around improving answer quality and reducing failure rates. Think of concrete examples where you used chunking, ranking, or filtering techniques to enhance performance.
✨Familiarise Yourself with the Company’s Needs
Research the company’s AI-powered helpdesk and understand their goals. Tailor your responses to show how your skills align with their needs, particularly in building knowledge retrieval layers and supporting model selection.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current projects, team dynamics, or how they measure success in AI development. This shows you're engaged and serious about the opportunity.