At a Glance
- Tasks: Join us to transform and filter datasets for cutting-edge AI research.
- Company: Be part of a pioneering project in AI/ML, based in vibrant London.
- Benefits: Enjoy a hybrid work model with potential contract extension and hands-on experience.
- Other info: Collaborate with researchers and contribute to exciting automation efforts.
- Why this job: Work on an innovative AI-driven project that impacts the future of intelligent agents.
- Qualifications: Solid background in data or software engineering, proficient in Python.
The predicted salary is between 36000 - 60000 £ per year.
Location: London- UK (Hybrid role)
Duration: Contract- Until Dec 25 with a possible extension
About the Role
We are seeking a Data Engineer / Software Engineer to support a pioneering project focused on LLM agents for research. You will play a key role in onboarding and filtering text, image, and video datasets used by our client’s research teams. The goal is to proactively mitigate risks associated with these datasets through effective engineering and automation. This position offers the opportunity to work 100% on an AI-driven project, collaborating with researchers to build tools that allow intelligent agents to manage and improve datasets autonomously.
Responsibilities:
- Data Preprocessing: Transform raw datasets into formats suitable for filtering pipelines.
- Filtering: Clean, enhance, and filter data using client-provided pipelines.
- Post-processing: Apply filtering results to original datasets, repackage them, and support re-ingestion workflows.
- Collaborate with cross-functional teams to ensure data readiness and quality.
- Contribute to system design and pipeline automation efforts.
- Build and maintain Python-based data pipelines.
- Engage in technical discussions with researchers and stakeholders.
- Execute data mitigation and filtering tasks with minimal overhead.
- Develop tools that enable LLM agents to process and manage data automatically.
Required Skills & Qualifications
- Solid background in data engineering or software engineering.
- Proficient in Python and pipeline development.
- Experience with data cleaning, transformation, and validation.
- Understanding of modern data storage systems and formats.
- Strong communication and collaboration skills.
- Prior work with text, image, and video datasets.
- Familiarity with data risk mitigation practices.
Preferred Skills
- Experience using client-specific data pipelines or filtering frameworks.
- Knowledge of machine learning concepts.
- Exposure to front-end technologies like JavaScript is a plus.
- Background in research or AI/ML project environments is beneficial.
Data Engineer / Software Engineer - AI/ML Research in London employer: US TECH SOLUTIONS LIMITED
Join a forward-thinking company in London that champions innovation and collaboration, offering a hybrid work environment that promotes flexibility and work-life balance. As a Data Engineer / Software Engineer, you will be part of a dynamic team dedicated to advancing AI/ML research, with ample opportunities for professional growth and development in a supportive culture that values creativity and initiative. Enjoy the unique advantage of working on cutting-edge projects that have a meaningful impact on the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer / Software Engineer - AI/ML Research in London
✨Tip Number 1
Familiarise yourself with the latest trends in AI and ML, especially around LLM agents. This knowledge will not only help you understand the project better but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Brush up on your Python skills, particularly in data pipeline development. Consider working on personal projects or contributing to open-source projects that involve data cleaning and transformation to showcase your abilities.
✨Tip Number 3
Network with professionals in the AI/ML field through platforms like LinkedIn or relevant meetups. Engaging with others in the industry can provide insights into the role and may even lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with data risk mitigation practices. Be ready to share specific examples of how you've handled data quality issues in past projects, as this will demonstrate your problem-solving skills.
We think you need these skills to ace Data Engineer / Software Engineer - AI/ML Research in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data engineering and software engineering, particularly with Python and data pipelines. Emphasise any work you've done with text, image, and video datasets.
Craft a Strong Cover Letter:In your cover letter, express your enthusiasm for the AI/ML research project. Discuss how your skills align with the responsibilities listed in the job description, especially your experience with data cleaning and transformation.
Showcase Relevant Projects:If you have worked on projects involving data preprocessing or pipeline automation, be sure to include these in your application. Provide specific examples of how you contributed to data quality and risk mitigation.
Highlight Collaboration Skills:Since the role involves working with cross-functional teams, mention any previous experiences where you collaborated effectively with others. This could include technical discussions or teamwork in research environments.
How to prepare for a job interview at US TECH SOLUTIONS LIMITED
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and data pipeline development in detail. Highlight specific projects where you've transformed raw datasets and implemented filtering processes, as this will demonstrate your technical proficiency.
✨Understand the Role of AI/ML
Familiarise yourself with the concepts of AI and machine learning, especially how they relate to data engineering. Be ready to discuss how you can contribute to the development of tools for LLM agents and how your background aligns with the project goals.
✨Prepare for Collaboration Questions
Since the role involves working with cross-functional teams, think of examples from your past experiences where you successfully collaborated with others. Emphasise your communication skills and how you ensure data quality and readiness in team settings.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your approach to data risk mitigation and filtering tasks. Prepare to discuss challenges you've faced in previous roles and how you overcame them, showcasing your analytical thinking and proactive mindset.
