Lead Machine Learning Engineer

ZOE; United Kingdom; Remote; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company that is transforming health through advanced science and technology. As a Lead Machine Learning Engineer, you will develop AI-driven solutions that simplify food logging for users. This role involves tackling complex challenges, collaborating with diverse teams, and making a significant impact on millions of lives. If you are passionate about machine learning, enjoy working in a remote-first environment, and want to contribute to meaningful health solutions, this opportunity is perfect for you. Be part of a mission that empowers individuals to improve their health through personalized nutrition.

Benefits

Competitive health insurance

Wellness packages

Flexible working hours

Professional development programs

Stock options

Remote work opportunities

Inclusive parental policies

Team offsites

Yearly company-wide retreat

Support for diverse backgrounds

Qualifications

• 7+ years of experience in backend software engineering.
• 5 years of experience working on a deployed ML or AI product.
• Strong background in ML, Computer Science, Mathematics, or Statistics.

Responsibilities

• Build and scale our photo logging AI product.
• Evaluate model performance and improve accuracy.
• Collaborate with cross-functional teams to deliver best-in-class products.

Skills

Backend Software Engineering

Machine Learning

Analytical Thinking

Python

Java

Education

Degree in Computer Science

Degree in Mathematics

Degree in Statistics

Tools

Google Cloud

AWS

TensorFlow

PyTorch

scikit-learn

Job description

1 week ago Be among the first 25 applicants

We Are Redefining How People Approach Their Health

ZOE is the science and nutrition company leading a movement to transform the health of millions.

We exist because the food we eat is making us sick. Most of what we are taught about food is wrong.

ZOE runs the world’s largest nutrition science study to find scientifically proven solutions.

Our randomised controlled trial of ZOE proves that if you eat the right food for your body, you can feel healthier in weeks and be on track for more healthy years.

ZOE can change the way you eat, feel, and live. We host world-leading scientists on our podcast and bring proven science to your plate with Daily30+, our 30+ plant supplement.

Over 100,000 people rely on ZOE Membership, our personalised nutrition program, to make smarter food choices. ZOE Membership turns complex science into clear step-by-step actions, helping you improve your health with every meal.

ZOE means life — and you can change your life with food.

Visit our career page and become a ZOEntist

About The Team

At ZOE, we're on a mission to empower people with the most advanced science and technology to transform their health. Our Snap team is at the heart of this mission, developing AI-driven solutions that make food logging effortless—just by using a camera! If you're passionate about cutting-edge machine learning, building impactful products, and solving real-world problems, this is the role for you.

About The Role

We're looking for an Lead Machine Learning Engineer to join our team of ML engineers and data scientists, helping to scale our product to millions of users, and working on some complex technical problems. You'll be tackling a range of challenges that will require analytical thinking and keen instincts, as well as an understanding of our domain and how our users behave. You'll work with a cross-functional team including product managers, designers, and front-end engineers to deliver our cutting-edge photo logging product.

What You’ll Do…

• Build and scale our photo logging AI product, a core feature for ZOE’s members.
• Work alongside data scientists, software engineers, and domain experts to collect requirements and establish project goals.
• Evaluate model performance, conduct A/B testing, and iteratively improve model accuracy and efficiency.
• Work with our platform team and collaborate on hosting, availability and scale challenges
• Stay current with the most recent developments in machine learning research, methodologies, and technologies, integrating them seamlessly into our workflow.
• Solve complex backend problems while collaborating closely with product managers and UX designers to provide a best-in-class customer experience.
• Write code across our micro-services and data pipelines.
• Ship in production, preferably daily or more!
  
  
  

What Makes You a Great Fit...

• 7+ years of experience in backend software engineering
• 5 years of experience working on a deployed ML or AI product.
• A strong background in ML, Computer Science, Mathematics, or Statistics—either through a degree or equivalent experience.
• Experience working on a large scale backend system, dealing with scaling challenges, high availability, or supporting a large numbers of users
• Passionate about LLMs,prompting techniques, and evaluation strategies.
• Experience in programming languages such as Python or Java.
• Understanding of cloud platforms (Google Cloud, AWS, Vertex AI, Sagemaker).
  
  
  

Bonus points!

• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Experience with data analysis or data science
  
  
  

The experience, skills, and attributes listed above reflect what we believe will contribute to success in this role. If you're passionate about ZOE and the opportunity, but don't meet 100% of the criteria, we still encourage you to apply. We are committed to supporting growth and are happy to offer up-skilling opportunities where possible.

Remote Philosophy

ZOE is a remote-first company, meaning remote work isn’t just an option — it’s how we work best. We are intentional about building a distributed, high-performing team where collaboration, trust, and flexibility thrive.

We design our workflows around asynchronous communication and shared documentation to support autonomy, focus, and cross-timezone collaboration. While our teams work independently, connection and teamwork remain central to how we operate — through regular rituals, meaningful virtual interactions, and in-person gatherings every quarter. These include team offsites and a yearly company-wide retreat to build relationships, spark creativity, and have fun together.

Being remote-first also means we value outcomes over hours and trust our team members to manage their work in a way that suits their unique rhythm and responsibilities. This approach allows us to support a truly flexible work environment, while staying aligned with our mission and values.

At ZOE, working remotely doesn’t mean working alone — it means being empowered, supported, and connected, wherever you are.

Compensation Philosophy

We are committed to offering competitive and equitable compensation that reflects the value of each role and aligns with regional labor market standards. Our approach to compensation goes beyond just base salary — we offer a comprehensive package that includes base pay and stock options, ensuring that every team member is rewarded for their contributions to the company’s growth and success.

We believe that building a thriving team requires not only providing fair and competitive compensation but also fostering an environment where success is shared collectively. Our total compensation package is designed to support the well-being of our employees, recognise their individual contributions, and empower them to grow alongside ZOE.

Benefits & Perks

We understand the significant role our benefits play in motivating, inspiring and safeguarding our employees' well-being. Our benefits strategy is thoughtfully designed to echo our mission and values, recognising the diverse needs arising from different life stages of our ZOEntists.

Our approach to benefits takes an inclusive and flexible view of both personal and professional growth. From competitive health insurance and wellness packages to inclusive parental policies, building connection, and tailored professional development programs, we've got you covered.

At ZOE, we continue to build a benefits package that invests in our team members’ long-term personal and professional growth and wellbeing, adding to this list as it evolves.

Equal opportunities

We are committed to fostering a diverse and inclusive team where every individual can bring their authentic self to work. We believe that this is key to our success and are dedicated to positively impacting the tech industry. As part of our commitment to equal opportunities, we encourage candidates from underrepresented backgrounds to apply. We ensure a respectful and inclusive environment for all and do not discriminate on the basis of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, marital status, disability, or age. If you require any accommodations during the interview process, please feel free to inform us, and we will make every effort to support your needs.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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