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For Companies At a Glance
- Tasks: Join our Core ML team to develop cutting-edge algorithms and robust ML software.
- Company: A deep defence-tech startup in Cambridge, backed by Entrepreneur First.
- Benefits: Competitive salary, equity, and the chance to shape future robot collaboration.
- Why this job: Work on mission-critical applications with real-world impact in a dynamic environment.
- Qualifications: MSc/PhD in ML or Robotics; 5+ years coding in Python and C++ required.
- Other info: Opportunity to work with high-fidelity simulations and aerial platforms.
The predicted salary is between 48000 - 84000 ÂŁ per year.
Machine Learning Engineer
About Us
We’re Unitary — an AI startup building systems that combine human expertise with intelligent agents to automate complex customer operations. Our technology powers trust & safety and content moderation at scale, analysing millions of daily images and videos to make the online world safer.
We’ve raised $25M+ from Creandum and Plural, and are growing fast — expanding our product, team, and global impact.
The Role
We’re looking for a Machine Learning Engineer to help design, build, and deliver AI-powered automation for our customers. You’ll collaborate directly with users to understand their workflows, prototype intelligent “Virtual Agents,” and scale these into production systems.
You’ll work across the full stack — from ML pipelines to deployment — ensuring our solutions are fast, reliable, and impactful.
What You’ll Do
- Design and implement AI systems that automate customer workflows
- Contribute to the Virtual Agent development platform
- Integrate and optimise ML models in production
- Drive reliability, observability, and performance across AI services
- Collaborate with customers and internal teams to deliver scalable solutions
About You
- Strong skills in Python and applied Machine Learning
- Passion for solving real-world problems with AI
- Interest in agentic AI systems, MLOps, and Kubernetes
- Excellent communicator who thrives in a collaborative, remote-first team
- Excited to shape a growing startup and have a visible impact
Nice-to-haves: experience with CI/CD, Terraform, LLMs, or startup environments.
Why Unitary
- Remote-first within 3 hours of UK time
- Competitive salary + equity
- Flexible hours and generous parental/sick leave
- Annual budgets for learning and wellness
- 3 annual team off-sites across Europe
Join us to build AI systems that make the internet safer — and smarter.
Machine Learning Engineer employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your experience with Python and C++ in your conversations. Highlight specific projects where you've written production-quality code, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarise yourself with the latest advancements in probabilistic machine learning and Bayesian inference. Being able to discuss these topics confidently can set you apart during interviews.
✨Tip Number 3
If you have experience with ROS 2 or real-world deployments on UAVs/UGVs, be ready to share specific examples. This practical knowledge is highly valued and can give you an edge.
✨Tip Number 4
Engage with the company’s online presence. Follow them on social media and participate in discussions related to defence tech and machine learning. This shows your genuine interest and can help you make connections.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, particularly with Python and C++. Emphasise any projects or roles where you've developed algorithms or worked with sensor fusion.
Craft a Strong Cover Letter: In your cover letter, express your passion for defence technology and how your background aligns with the company's mission. Mention specific skills like probabilistic ML or experience with PyTorch that make you a great fit.
Showcase Relevant Projects: Include a portfolio or links to relevant projects that demonstrate your expertise in ML, especially those involving real-world applications or collaborative software development.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to machine learning or robotics. This shows your commitment to staying updated in a rapidly evolving field.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and C++, as well as your knowledge of ML frameworks like PyTorch or TensorFlow. Bring examples of your past projects that demonstrate your ability to write production-quality code.
✨Understand the Company’s Mission
Research the defence-tech startup and understand their goals, especially regarding robot collaboration and mission-critical applications. This will help you align your answers with their vision during the interview.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your understanding of probabilistic ML, Bayesian inference, and sensor fusion. Practice explaining complex concepts clearly and concisely, as this will showcase your expertise.
✨Demonstrate Collaborative Skills
Highlight your experience with CI/CD and collaborative software development. Be ready to discuss how you’ve worked in teams, particularly in high-stakes environments, as teamwork is crucial in this role.
