Machine Learning Engineer, International Public Sector

Machine Learning Engineer, International Public Sector

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Dormont Manufacturing Co

At a Glance

  • Tasks: Design and deploy AI models to tackle global public sector challenges.
  • Company: Join a rapidly growing team at Scale, focused on impactful AI solutions.
  • Benefits: Competitive salary, inclusive workplace, and opportunities for professional growth.
  • Other info: Collaborative environment with hands-on knowledge sharing and travel opportunities.
  • Why this job: Shape the future of AI while making a difference for millions of citizens.
  • Qualifications: 2+ years in AI model training and software engineering skills required.

The predicted salary is between 60000 - 80000 £ per year.

Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

  • Creating custom AI applications that will impact millions of citizens
  • Generating high-quality training data for national LLMs
  • Upskilling and advisory services to spread the impact of AI

As a Machine Learning Engineer, you’ll use the latest research as you design, train, deploy, and evaluate computer vision and/or language models to power the custom applications we build for our public sector clients. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting‑edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

  • Partner with public sector counterparts to deeply understand their challenges
  • Apply the latest research as you design custom models or chains of models
  • Collaborate closely with our data annotation teams to create high‑quality training datasets
  • Train, optimize, and deploy models into challenging production environments
  • Develop and maintain robust evaluation systems
  • Participate in customer engagements, including occasional travel (approximately one week per quarter)
  • Contribute to the scaling of AI capabilities in the public sector through hands‑on knowledge sharing

Ideally, you’d have:

  • 2+ years of computer vision and/or language model training, deployment, evaluation, and maintenance experience in a production environment
  • Master’s or equivalent work experience
  • Software engineering experience with demonstrated proficiency in Python, TypeScript/JavaScript, C++ or similar

Nice to haves:

  • Experience working at a startup
  • Experience dealing with large‑scale AI problems
  • Strong written and verbal communication skills to operate in a cross‑functional team environment
  • Proficiency in Arabic (if focused on language models)
  • Published research in areas of machine learning at significant conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals.

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 accommodations@scale.com. Please see the United States Department of Labor’s Know Your Rights poster for additional information. We comply with the United States Department of Labor’s Pay Transparency provision.

Machine Learning Engineer, International Public Sector employer: Dormont Manufacturing Co

At Scale, we pride ourselves on being an exceptional employer, particularly within our rapidly expanding International Public Sector team. Our collaborative work culture fosters innovation and inclusivity, empowering employees to tackle significant challenges through AI while providing ample opportunities for professional growth and development. With a commitment to equal opportunity and a focus on meaningful impact, joining us means being part of a mission-driven organisation that values your contributions and supports your career aspirations.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer, International Public Sector

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dormont Manufacturing Co!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Machine Learning Engineer, International Public Sector at Dormont Manufacturing Co.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dormont Manufacturing Co.

Apply Directly through Our Website

When you find a suitable opening like Machine Learning Engineer, International Public Sector at Dormont Manufacturing Co, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Machine Learning Engineer, International Public Sector

Machine Learning
Computer Vision
Language Models
Model Training
Model Deployment
Model Evaluation
Python

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Dormont Manufacturing Co

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dormont Manufacturing Co!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.