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For Companies At a Glance
- Tasks: Build innovative AI products and automate customer processes with cutting-edge technology.
- Company: Rapidly growing startup focused on blending human expertise with AI for safer online experiences.
- Benefits: Flexible hours, competitive salary, equity package, and generous professional development budget.
- Why this job: Join a mission-driven team and make a real impact in the AI space.
- Qualifications: Strong Python and machine learning skills; eager to learn and engage with customers.
- Other info: Remote-first culture with a focus on collaboration and personal well-being.
The predicted salary is between 36000 - 60000 £ per year.
The company
We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety and beyond without complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions.
We have raised about $25M in VC funding from top tier funds including Creandum and Plural, and operate at significant scale – analysing millions of daily images and videos. But we are just at the beginning of our journey – and we are very excited about our plans for growth over the coming year and beyond!
The role
We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers\’ manual processes into AI automated solutions.
Your mission will be to ensure our customers receive the most effective AI solutions for their specific needs. You will apply your technical and analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently.
As part of this role, you will:
- Collaborate with customers to thoroughly understand their workflows, then design and build Virtual Agents that automate their processes.
- Contribute to the development of our Virtual Agent development platform that scales with our product strategy.
- Ensure our AI services maintain high standards of reliability, observability, availability, and performance.
- Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary\’s future.
- Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers.
- Contribute full-stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value.
We are looking for someone who is as excited about Unitary\’s mission as we are, who wants to have a large impact at an early-stage startup, and be a key part of defining Unitary\’s future as one of our early employees. We need versatile people who are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company.
For this particular role, we need a proactive Machine Learning Engineer who is comfortable engaging with customers and exploring and presenting new ideas. Strong communication skills are essential, as you\’ll lead technical deliveries and bring others along on the journey. You embrace a product mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges.
We would love to hear from you if you:
- Have strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems
- Can (or want to learn to) develop agentic AI systems that can automate human processes
- Have an understanding of (or want to learn) how software is deployed through Kubernetes, and with the capability to deploy some infrastructure elements independently
- Can demonstrate problem solving and project management skills in order to analyse workflows and design automated solutions
- Thrive in a collaborative environment where group output and team achievements weigh heavier than individual input
- Can travel to our company-wide offsites three times per year
It would be even better, but not essential, if you have:
- Experience working in a fully remote, international team
- Previous startup experience
- A background in building and operating agentic AI systems
- Experience with MLOps practices and tools, and monitoring machine learning systems in production
- Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD
- Proficiency with SQL and NoSQL databases
- Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform
- Experience with Large Language Models (LLMs) and a keen interest in staying current with the latest AI technology advancements
The team
Unitary is a remote-first team of c. 20 people spread across Europe and North America who are fiercely passionate about making the internet a safer place, and deeply motivated to become a force for good. We have an ambition to create a company filled with happy, kind and collaborative people who achieve extraordinary things together. Our culture is built around the power of trust, transparency and self-leadership.
Working at Unitary
We are committed to creating a positive and inclusive culture built on genuine interest for each other\’s well-being. We offer progressive and market-leading benefits, including:
- Flexible hours and location
- Competitive salary and equity package
- Occupational pension
- Generous paid parental leave
- Generous paid sick leave
- Annual budget for your professional development and growth
- Annual budget for your individual health and wellness
- Three team offsites to London or other exciting destinations in Europe
Machine Learning Engineer - Customer Solutions employer: Unitary
Contact Detail:
Unitary Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Customer Solutions
✨Tip Number 1
Get your networking game on! Connect with people in the industry, attend meetups, and engage in online forums. The more you put yourself out there, the better your chances of landing that Machine Learning Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and machine learning. This will give potential employers a taste of what you can do and how you can help them solve real-world challenges.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to machine learning. Be ready to discuss how you've tackled customer problems in the past and how you can contribute to our mission at Unitary.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our exciting journey at Unitary.
We think you need these skills to ace Machine Learning Engineer - Customer Solutions
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how excited you are about blending human expertise with AI solutions, so share any relevant projects or experiences that highlight your passion!
Tailor Your Application: Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. Highlight your Python and machine learning engineering skills, and don’t forget to mention any experience with Kubernetes or MLOps practices!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and how they relate to the role. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Unitary!
How to prepare for a job interview at Unitary
✨Know Your Stuff
Make sure you brush up on your Python and machine learning skills. Be ready to discuss how you've applied AI to solve customer problems in the past. Prepare examples that showcase your technical expertise and how it aligns with the company's mission.
✨Understand the Customer's Needs
Since this role involves collaborating with customers, take time to research common challenges they face in automating processes. Think about how you can leverage AI to address these issues and be prepared to share your ideas during the interview.
✨Show Off Your Communication Skills
Strong communication is key for this position. Practice explaining complex technical concepts in simple terms. You might even want to role-play with a friend to ensure you're comfortable leading discussions and presenting your ideas clearly.
✨Embrace the Product Mindset
Demonstrate your curiosity for solving customer challenges by thinking like a product manager. Be ready to discuss how you would approach building self-service tools for customers and how you can contribute to the development of the Virtual Agent platform.
