At a Glance
- Tasks: Create impactful AI applications and lead research in agent design and AI safety.
- Company: Join Scale, a leader in developing reliable AI systems for global public sector challenges.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Make a real difference by engineering AI that impacts millions of citizens worldwide.
- Qualifications: Advanced degree in Computer Science or related field with a focus on Deep Learning.
The predicted salary is between 60000 - 80000 £ per year.
Scale's mission is to develop reliable AI systems for the world's most important decisions.
Core Work
- 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
Scale is hiring ML Research Engineers to bridge the gap between frontier research and real-world impact. While we solve critical challenges for global governments, your role will extend beyond implementation. You will lead the charge in research into Agent design, Deep Research and AI Safety/reliability, developing novel methodologies that not only power public sector applications but set new standards across the entire Scale organisation.
Your Mission
- Frontier Research & Publication: Leading research into LLM/agent capabilities, reasoning, and safety, with the goal of publishing at top-tier venues (NeurIPS, ICML, ICLR).
- Cross-Org Impact: Developing generalised techniques in Agent design, AI Safety and Deep Research agents that scale across our commercial and government platforms.
- Mission-Critical Applications: Engineering high-stakes AI systems that impact millions of citizens globally.
Responsibilities
- Pioneer Novel Architectures: Design and train state-of-the-art models and agents, moving beyond "off-the-shelf" solutions to create custom architectures for complex public sector reasoning tasks.
- Lead AI Safety Initiatives: Research and implement robust safety frameworks, including red teaming, alignment (RLHF/DPO), and bias mitigation strategies essential for sovereign AI.
- Drive Deep Research Capabilities: Develop agents capable of long-horizon reasoning and autonomous information synthesis to solve complex problems for national security and public policy.
- Publish and Contribute: Represent Scale in the broader research community by publishing high-impact papers and contributing to open-source breakthroughs.
- Consult as a Subject Matter Expert: Act as a technical authority for public sector leaders, advising on the theoretical limits and safety requirements of emerging AI.
- Build Evaluation Frontiers: Create new benchmarks and evaluation protocols that define what success looks like for high-stakes, non-commercial AI applications.
Qualifications
- Advanced Degree: PhD or Master's in Computer Science, Mathematics, or a related field with a focus on Deep Learning.
- Research Track Record: A portfolio of first-author publications at major conferences (NeurIPS, ICML, CVPR, EMNLP, etc.).
- Engineering Rigour: Strong proficiency in Python, deep learning frameworks (PyTorch/JAX), with the ability to write production-ready code that scales.
- Safety Expertise: Experience in alignment, robustness, or interpretability research.
Nice to Haves
- Experience with large-scale distributed training on massive clusters.
- Experience in building agentic systems that are reliable.
- Experience in Sovereign AI or working with highly regulated data environments.
- A zero-to-one mindset: Comfortable navigating ambiguity and defining research directions from scratch.
EEO & Inclusion
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an 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.
Please note: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Machine Learning Engineer, Global Public Sector in London employer: Scale
At Scale, we are dedicated to developing reliable AI systems that make a meaningful impact on global public sector challenges. Our inclusive work culture fosters innovation and collaboration, providing employees with exceptional growth opportunities through cutting-edge research and the chance to publish in top-tier venues. Join us in a mission-driven environment where your contributions will not only advance your career but also benefit millions of citizens worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer, Global Public Sector in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your research and projects in detail. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our mission at Scale.
We think you need these skills to ace Machine Learning Engineer, Global Public Sector in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Machine Learning Engineer role. Highlight your relevant experience in AI safety, deep learning, and any publications you've contributed to. We want to see how your skills align with our mission!
Showcase Your Research:Since research is a big part of this role, include details about your past projects and publications. If you've published at top-tier venues like NeurIPS or ICML, shout about it! This will help us see your potential impact on our team.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point—this shows us you can communicate effectively!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it helps us keep track of all applicants efficiently. Don’t miss out on this opportunity!
How to prepare for a job interview at Scale
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and publications. Be ready to discuss your methodologies, findings, and how they relate to the role at Scale. This shows not only your expertise but also your passion for advancing AI safety and reliability.
✨Demonstrate Engineering Skills
Prepare to showcase your coding abilities, especially in Python and deep learning frameworks like PyTorch or JAX. You might be asked to solve a problem on the spot, so brush up on writing production-ready code that scales. Practice common algorithms and data structures relevant to machine learning.
✨Understand the Public Sector Impact
Familiarise yourself with the challenges faced by global governments in AI implementation. Be ready to discuss how your work can contribute to mission-critical applications that impact millions. Showing an understanding of the public sector will set you apart from other candidates.
✨Prepare for Safety Discussions
Since AI safety is a key focus, be prepared to talk about your experience with alignment, robustness, and bias mitigation strategies. Think of examples where you’ve implemented safety frameworks in your projects, as this will demonstrate your capability to lead AI safety initiatives effectively.
