Data Engineer / Software Engineer – AI/ML Research
Data Engineer / Software Engineer – AI/ML Research

Data Engineer / Software Engineer – AI/ML Research

London Full-Time 42000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Transform and filter datasets for AI research, collaborating with cross-functional teams.
  • Company: Join US Tech Solutions, a leader in innovative tech solutions and AI-driven projects.
  • Benefits: Enjoy remote work options and competitive pay based on skills and experience.
  • Why this job: Be part of a pioneering AI project that impacts the future of intelligent data management.
  • Qualifications: Solid background in data or software engineering, proficient in Python, and strong communication skills.
  • Other info: This is a mid-senior level contract position focused on cutting-edge AI/ML research.

The predicted salary is between 42000 - 84000 £ per year.

Get AI-powered advice on this job and more exclusive features.

This range is provided by US Tech Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from US Tech Solutions

Associate Team Lead- Recruitment & Delivery | PG in Management

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 .
  • Background in research or AI/ML project environments is beneficial.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Contract

Job function

  • Industries

    Software Development

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Data Engineer / Software Engineer – AI/ML Research employer: US Tech Solutions

US Tech Solutions is an exceptional employer, offering a dynamic work environment in London where innovation meets collaboration. As a Data Engineer / Software Engineer, you will engage in cutting-edge AI projects, with ample opportunities for professional growth and development. The company fosters a culture of teamwork and creativity, ensuring that employees are empowered to contribute meaningfully to pioneering research initiatives.
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Contact Detail:

US Tech Solutions Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer / Software Engineer – AI/ML Research

Tip Number 1

Familiarise yourself with the latest trends in AI and machine learning, especially around LLM agents. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.

Tip Number 2

Network with professionals in the data engineering and AI/ML sectors. Attend relevant meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.

Tip Number 3

Prepare to discuss specific projects where you've worked with text, image, or video datasets. Be ready to explain your role, the challenges faced, and how you overcame them, as this will showcase your practical experience.

Tip Number 4

Brush up on your Python skills, particularly in building data pipelines. Consider working on a small project that involves data cleaning and transformation to demonstrate your technical abilities during discussions with recruiters.

We think you need these skills to ace Data Engineer / Software Engineer – AI/ML Research

Data Engineering
Software Engineering
Python Programming
Pipeline Development
Data Cleaning
Data Transformation
Data Validation
Modern Data Storage Systems
Communication Skills
Collaboration Skills
Experience with Text Datasets
Experience with Image Datasets
Experience with Video Datasets
Data Risk Mitigation Practices
Machine Learning Concepts
Research Background in AI/ML

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer / Software Engineer position. Familiarise yourself with data preprocessing, filtering, and automation tasks as outlined in the job description.

Tailor Your CV: Customise your CV to highlight relevant experience in data engineering or software engineering. Emphasise your proficiency in Python, data cleaning, and any previous work with text, image, and video datasets to align with the job's requirements.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI/ML research and your understanding of data risk mitigation practices. Mention specific projects or experiences that demonstrate your skills and how they relate to the role.

Highlight Collaboration Skills: Since the role involves working with cross-functional teams, be sure to mention any past experiences where you successfully collaborated with others. Strong communication and teamwork skills are essential for this position.

How to prepare for a job interview at US Tech Solutions

Showcase Your Technical Skills

Make sure to highlight your proficiency in Python and any experience you have with data pipelines. Be prepared to discuss specific projects where you've transformed or filtered datasets, as this will demonstrate your hands-on experience.

Understand the Role of LLM Agents

Familiarise yourself with large language models (LLMs) and their applications in data management. Being able to discuss how these agents can autonomously process and improve datasets will show your enthusiasm for the project and your understanding of AI/ML concepts.

Prepare for Technical Discussions

Expect to engage in technical discussions with researchers and stakeholders. Brush up on your knowledge of data risk mitigation practices and be ready to explain how you would approach data cleaning and validation in a collaborative environment.

Demonstrate Strong Communication Skills

Since collaboration is key in this role, practice articulating your thoughts clearly and concisely. Be prepared to discuss how you've worked with cross-functional teams in the past and how you ensure data readiness and quality in your projects.

Data Engineer / Software Engineer – AI/ML Research
US Tech Solutions
U
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