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For Companies At a Glance
- Tasks: Design and build AI systems that automate customer workflows and deliver impactful solutions.
- Company: Unitary, a forward-thinking AI company focused on safe and fair technology.
- Benefits: Remote-first culture, flexible hours, competitive pay, equity, and generous leave.
- Other info: Enjoy professional growth budgets and exciting off-sites in London or Europe.
- Why this job: Join a mission to create a safer internet while working with cutting-edge AI technology.
- Qualifications: Strong Python and Machine Learning experience; problem-solving and collaboration skills are key.
The predicted salary is between 42000 - 84000 ÂŁ per year.
About Unitary
Unitary builds AI systems that combine human expertise and intelligent automation to handle complex real‑world tasks — from trust & safety to marketplace operations. We already analyse millions of images and videos daily, helping businesses scale safely and efficiently. Our mission: create an internet free from harm, where AI makes safe, fair, and transparent decisions.
The Role
We’re hiring a Machine Learning Solutions Engineer to design, build, and deploy AI systems that automate customer workflows. You’ll work end‑to‑end — understanding client challenges, creating "Virtual Agents" that combine ML and software, and scaling these capabilities across our platform. It’s a hands‑on, product‑facing role with real ownership and impact.
What You’ll Do
- Design and deliver Virtual Agents that automate customer processes
- Build scalable, production‑ready AI solutions across the stack (ML, MLOps, DevOps)
- Collaborate directly with customers and internal teams to drive adoption
- Contribute to Unitary’s ML platform and community, shaping our future technology
What We’re Looking For
- Strong Python and Machine Learning Engineering experience
- Curiosity for agentic AI and automation systems
- Understanding of deployment (e.g. Kubernetes, CI/CD, MLOps)
- Problem‑solver who enjoys working directly with customers
- Collaborative, proactive, and excited by startup pace
- (Bonus: prior startup or remote‑team experience, LLM familiarity, or infrastructure knowledge such as Terraform or Argo CD.)
Why Unitary
- Remote‑first team (~20 people across Europe & North America)
- Flexible hours, competitive pay, equity, and generous leave
- Annual budgets for professional growth and well‑being
- 3 off‑sites per year in London or European destinations
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Machine Learning Solutions Engineer in England employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Solutions Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Unitary. A friendly chat can open doors and give you insights that a job description can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to machine learning and automation. This is your chance to demonstrate your problem-solving abilities and creativity.
✨Tip Number 3
Prepare for the interview by understanding Unitary's mission and values. Be ready to discuss how your experience aligns with their goal of creating a safer internet through AI.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Machine Learning Solutions Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Solutions Engineer role. Highlight your Python and Machine Learning Engineering experience, and don’t forget to mention any relevant projects or achievements that showcase your skills in building AI systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your curiosity for agentic AI aligns with our mission at Unitary. Be genuine and let your personality come through!
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love problem-solvers who enjoy working directly with customers, so share specific instances where you made a real impact.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our remote-first team at Unitary!
How to prepare for a job interview at Understanding Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Machine Learning Engineering skills. Be ready to discuss specific projects you've worked on, especially those involving AI systems and automation. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Show Your Curiosity
Unitary is looking for someone with a genuine curiosity for agentic AI and automation systems. Prepare some thoughtful questions about their current projects or challenges they face. This demonstrates your interest and helps you stand out as a proactive candidate.
✨Demonstrate Problem-Solving Skills
Be prepared to tackle hypothetical problems during the interview. Think through how you would approach designing and delivering Virtual Agents or scaling AI solutions. Use examples from your past experiences to illustrate your problem-solving process.
✨Emphasise Collaboration
Since the role involves working directly with customers and internal teams, highlight your collaborative experiences. Share stories where you successfully worked in a team or engaged with clients to drive adoption of technology. This will show that you’re a great fit for their remote-first, startup culture.