Machine Learning Research Engineer (Computer Vision), International Public Sector
Machine Learning Research Engineer (Computer Vision), International Public Sector

Machine Learning Research Engineer (Computer Vision), International Public Sector

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead groundbreaking research in computer vision and AI solutions for government applications.
  • Company: Join Scale, a leader in AI transformation across industries, trusted by top companies and government agencies.
  • Benefits: Enjoy a dynamic work environment with opportunities for travel and collaboration on impactful projects.
  • Why this job: Make a real impact in the AI movement while tackling ambitious challenges in a supportive team culture.
  • Qualifications: 2+ years in model training and deployment; strong skills in computer vision and NLP preferred.
  • Other info: Must be willing to travel quarterly to engage with clients in the Middle East.

The predicted salary is between 43200 - 72000 £ per year.

Machine Learning Research Engineer (Computer Vision), International Public Sector

Middle East; London, UK

Scale is growing rapidly, and joining the International Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team generates, executes, and fosters Scale’s work outside the United States. There are three core types of work involved:

  • Providing high-quality training data for research institutions building LLMs from scratch
  • Partnerships, upskilling, and advisory

As a Machine Learning Research Engineer, you’ll be at the forefront of building models as a service, transforming real-world business problems through cutting-edge computer vision and large-vision language models. This is an extraordinary opportunity to take full ownership and make a significant impact in the data-centric AI movement.

We are looking for individuals who are passionate about AI, eager to drive innovation, and excited by ambitious challenges. Join us in revolutionizing government operations with AI and work on production use cases that truly harness the power of AI models to solve complex problems.

You will:

  • Dive into and implement groundbreaking research in computer vision and large vision-language models.
  • Design and build agent workflows that leverage customized models for downstream tasks, including hybrid solutions with LLMs.
  • Translate customer needs into innovative AI solutions tailored for government applications.
  • Work with vast, unstructured visual and multimodal datasets to develop robust models.
  • Create and maintain robust evaluation systems.
  • Collaborate closely with our data annotation teams to train models on high-quality datasets.
  • Travel one week quarterly to engage with customers and understand their unique challenges firsthand.

Minimum Qualifications:

  • At least 2+ years of model training, deployment and maintenance experience in a production environment.
  • Strong skills in computer vision and/or large vision-language models.
  • Willing and able to travel to client sites in the Middle East for one week each quarter.

Ideal Qualifications:

  • Strong skills in NLP, LLMs, and deep learning.
  • Experience working at a startup or in a forward-deployed role.
  • Strong written and verbal communication skills to operate in a cross-functional team environment.
  • Proficient in reading and writing in Arabic.
  • Experience in dealing with large-scale AI problems.
  • Published research in areas of machine learning at significant conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world’s most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at

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Machine Learning Research Engineer (Computer Vision), International Public Sector employer: Tbwa Chiat/Day Inc

At Scale, we are dedicated to fostering a dynamic and inclusive work environment where innovation thrives. As a Machine Learning Research Engineer in the International Public Sector team, you will have the unique opportunity to work on groundbreaking AI solutions that directly impact government operations, all while collaborating with a diverse group of passionate professionals. With a strong emphasis on employee growth, we offer continuous learning opportunities, travel experiences to engage with clients in the Middle East, and a culture that values your contributions and encourages you to bring your whole self to work.
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Contact Detail:

Tbwa Chiat/Day Inc Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Research Engineer (Computer Vision), International Public Sector

✨Tip Number 1

Familiarize yourself with the latest advancements in computer vision and large vision-language models. Being well-versed in current research will not only help you during interviews but also demonstrate your passion for the field.

✨Tip Number 2

Showcase any relevant projects or experiences where you've implemented AI solutions, especially in a government or public sector context. This will highlight your ability to translate customer needs into innovative applications.

✨Tip Number 3

Prepare to discuss your experience with model training, deployment, and maintenance in production environments. Be ready to share specific examples that illustrate your problem-solving skills and technical expertise.

✨Tip Number 4

If you have published research, be sure to mention it! Highlighting your contributions to significant conferences or journals can set you apart from other candidates and showcase your commitment to advancing the field.

We think you need these skills to ace Machine Learning Research Engineer (Computer Vision), International Public Sector

Machine Learning
Computer Vision
Large Vision-Language Models
Natural Language Processing (NLP)
Deep Learning
Model Training and Deployment
Data Annotation
Evaluation Systems Development
Cross-Functional Collaboration
Problem-Solving Skills
Strong Written and Verbal Communication
Experience with Unstructured Datasets
Research Publication in Machine Learning
Proficiency in Arabic
Adaptability to Travel

Some tips for your application 🫡

Highlight Relevant Experience: Make sure to emphasize your experience in model training, deployment, and maintenance, especially in a production environment. Mention specific projects or roles where you utilized computer vision and large vision-language models.

Showcase Your Passion for AI: In your cover letter, express your enthusiasm for AI and how it drives innovation. Share any personal projects or research that demonstrate your commitment to the field and your eagerness to tackle ambitious challenges.

Tailor Your Application: Customize your CV and cover letter to align with the job description. Highlight your skills in NLP, LLMs, and deep learning, and mention any relevant publications or conferences you've participated in.

Prepare for Cross-Functional Collaboration: Since the role involves working in a cross-functional team environment, provide examples of your strong communication skills and teamwork experiences. This will show that you can effectively collaborate with diverse teams.

How to prepare for a job interview at Tbwa Chiat/Day Inc

✨Showcase Your Passion for AI

Make sure to express your enthusiasm for artificial intelligence and how it can transform government operations. Share specific examples of projects or research that ignited your passion and how you envision contributing to Scale's mission.

✨Demonstrate Technical Expertise

Be prepared to discuss your experience with computer vision and large vision-language models in detail. Highlight any relevant projects, your role in them, and the impact they had. This is your chance to show that you have the technical skills needed for the position.

✨Prepare for Real-World Applications

Think about how your skills can solve complex problems in the public sector. Be ready to discuss innovative AI solutions you've developed or would propose for government applications, especially those that involve unstructured visual and multimodal datasets.

✨Cultural Fit and Communication Skills

Since collaboration is key at Scale, emphasize your ability to work in cross-functional teams. Share experiences where your communication skills helped bridge gaps between technical and non-technical stakeholders, and be ready to discuss how you can contribute to a diverse and inclusive workplace.

Machine Learning Research Engineer (Computer Vision), International Public Sector
Tbwa Chiat/Day Inc
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  • Machine Learning Research Engineer (Computer Vision), International Public Sector

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-01-25

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    Tbwa Chiat/Day Inc

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