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- Tasks: Join a team to onboard and filter data for AI research projects.
- Company: Work with a leading Big Tech company in a dynamic environment.
- Benefits: Enjoy a hybrid work model and potential contract extension.
- Why this job: Be part of cutting-edge AI automation, contributing to impactful research.
- Qualifications: 2-4 years of data experience and Python skills required.
- Other info: Confidential chats available for more details about the role.
Job Description
Contract Role – Data Software Engineer (Software Development, Big Tech Company) – London/Hybrid – 3 Months Initial – Inside IR35 PAYE
We are seeking an exceptional Data Software Engineer that would support data onboarding and filtering effort in a project on LLM agents for research. The engineer will onboard data and run filtering on text, image and video datasets leveraged by research teams. The goal is to proactively mitigate potential risks associated with these datasets.
Role Overview:
- Job Title: Data Software Engineer
- Location: London/Hybrid
- Contract Type: Contract
- Duration: 3 months initially, extension likely
- Year of experience: 2 – 4 years – No more than 6 years
Top 3 must-have HARD skills:
- Data experience
- Python pipelines experience
- Data sets mitigation and filtering experience
Good to have skills:
- Machine learning experience is a great to have
- Experience with pie torch.
Typical Day in the Role:
- Typical software engineer job, doing data mitigation and filters
- Low administration
- A lot of research discussions.
- Will be working 100% on this AI automation project.
Please feel free to contact myself – Daisy Nguyen at Gibbs Consulting/Atrium UK for a confidential chat to know more details about the role.
Please also note: Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.
Data Software Engineer employer: Atrium Workforce Solutions Ltd
Contact Detail:
Atrium Workforce Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Software Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in data onboarding and filtering, especially in relation to LLM agents. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with online communities or forums related to data engineering and AI. Networking with professionals in these spaces can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Brush up on your Python skills, particularly in building data pipelines. Consider working on personal projects or contributing to open-source projects that showcase your ability to handle data effectively.
✨Tip Number 4
Prepare for technical discussions by reviewing common data mitigation techniques and challenges. Being able to articulate your thought process and solutions during research discussions will set you apart from other candidates.
We think you need these skills to ace Data Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering, particularly with Python pipelines and dataset mitigation. Use specific examples to demonstrate your skills and achievements in these areas.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your interest in the Data Software Engineer role. Mention your experience with data onboarding and filtering, and how it aligns with the project on LLM agents for research.
Highlight Relevant Skills: In your application, emphasise your hard skills such as data experience and filtering techniques. If you have any experience with machine learning or PyTorch, be sure to include that as well, even if it's not a must-have.
Follow Application Instructions: Ensure you follow any specific instructions provided in the job listing. This may include submitting your application through a particular platform or including certain documents. Attention to detail can set you apart from other candidates.
How to prepare for a job interview at Atrium Workforce Solutions Ltd
✨Showcase Your Data Experience
Make sure to highlight your previous experience with data onboarding and filtering. Be prepared to discuss specific projects where you successfully managed datasets, as this will demonstrate your capability to handle the responsibilities of the role.
✨Demonstrate Python Proficiency
Since Python pipelines are a must-have skill for this position, be ready to talk about your experience with Python. You might even want to prepare a brief example or two of how you've used Python in your past work, especially in relation to data processing.
✨Understand Dataset Mitigation Techniques
Familiarise yourself with common risks associated with datasets and the techniques used to mitigate them. Being able to discuss these concepts will show that you understand the importance of data integrity and safety in your work.
✨Engage in Research Discussions
Since the role involves a lot of research discussions, practice articulating your thoughts on current trends in AI and data engineering. This will not only showcase your knowledge but also your enthusiasm for the field, making you a more appealing candidate.
