At a Glance
- Tasks: Build AI helpdesk systems and optimise data pipelines for better responses.
- Company: Join a forward-thinking tech company with a hybrid work culture.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for growth.
- Other info: 5-month contract with potential for extension and excellent career development.
- 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 machine learning.
The predicted salary is between 50000 - 60000 € per year.
Whitehall Resources are looking for a Machine Learning Engineer. This role is hybrid working with 3 days per week onsite in South Yorkshire, and the remainder remote working, for an initial 5-month contract. Inside IR35
Job Description: 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.
Machine Learning Engineer in Sheffield employer: Whitehall Resources
At Whitehall Resources, we pride ourselves on being an excellent employer, offering a dynamic hybrid working environment that fosters innovation and collaboration. Our South Yorkshire location provides a supportive work culture with ample opportunities for professional growth, allowing our Machine Learning Engineers to thrive while contributing to cutting-edge AI solutions. With a focus on employee development and a commitment to work-life balance, we ensure that our team members feel valued and empowered in their roles.
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 other Machine Learning Engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and machine learning models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and practical applications. Be ready to discuss your experience with Python, data engineering, and any relevant tools like AWS or GCP. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
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 that showcase your ability to build data pipelines and work with LLMs.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your skills align with our needs. Don’t forget to mention your experience with vector databases and retrieval systems!
Showcase Relevant Projects:If you've worked on projects involving ETL processes or data quality testing, make sure to include them in your application. We love seeing practical examples of your work that demonstrate your expertise in the field.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Whitehall Resources
✨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. They’ll likely ask you to explain how you've tackled similar challenges in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've improved answer quality or reduced failure rates in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your impact.
✨Familiarise Yourself with Their Tools
If you know what tools or platforms the company uses, like AWS or GCP, make sure you mention your familiarity with them. Even if you haven't used them extensively, showing that you’re willing to learn can go a long way.
✨Ask Insightful Questions
Prepare some thoughtful questions about their current projects or challenges they face with their AI helpdesk. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
