Implementation Engineer

Reposted 23 Hours Ago
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London, Greater London, England
In-Office
50K-50K Annually
Junior
Artificial Intelligence • Computer Vision • Machine Learning
The Role
As an Implementation Engineer, you'll design and implement scalable solutions, support sales and customer success teams, and ensure seamless deployment of Visual AI products.
Summary Generated by Built In
Help us build the future of real-time retail execution

At Neurolabs, we’re helping the world’s leading CPG brands unlock real-time visibility across the supply chain. Our Image Recognition technology is powered by synthetic data and digital twins, giving customers scalable, accurate insights — fast. No manual audits. No delays. No retraining. Just immediate visibility into what’s actually happening in-store.

We’ve built our platform to solve real field problems. From faster SKU onboarding to better promo execution, we work across teams to connect strategy with shelf reality. With easy integration and the fastest time to value in the category, we’re not just digitizing audits - we’re powering smarter, data-backed execution for global CPGs.

We’re looking for an Implementation Engineer to join our team and help bring our Visual AI product to life in real-world environments. You’ll play a key role in turning customer needs into scalable, reliable solutions — bridging product, engineering, and delivery. This is a role for someone who thrives on problem-solving, enjoys working hands-on with complex systems, and takes pride in making things work seamlessly for users and partners.

✨ Why this role matters

Our technology only creates impact when it’s running seamlessly in the real world. Every successful deployment means a retailer saving time, improving accuracy, and transforming how in-store execution works.

You’ll sit at the intersection of product, engineering, and customer success — turning complex setups into smooth, scalable implementations that deliver real results.

Your mission: ensure seamless deployment & integration with long-term success of our solutions in production.

🧠 What you'll do

Solution Design & Architecture

  • Design scalable, secure, high-performance solutions that meet customer needs.
  • Implement smart automations to make deployments faster and more efficient.

Project Delivery

  • Collaborate with delivery teams to define scope and success criteria.
  • Configure APIs, tools, and integrations for smooth implementations.
  • Troubleshoot and resolve technical issues across the project lifecycle.

Pre & Post Sales Support

  • Partner with sales & marketing to translate customer goals into tailored solutions.
  • Support onboarding and ensure a seamless handover to ongoing success.
  • Prepare clear technical documentation and training materials.

Cross-Functional Collaboration

  • Build scripts or tools that speed up delivery and improve outcomes.
  • Keep communication clear and aligned across teams and stakeholders.

Continuous Improvement

  • Stay up to date with cloud, automation, and ML technologies.
  • Share ideas that help us deliver and scale better every time.

Requirements

Experience & technical skills

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • Up to 3 years’ experience in software development, implementation engineering, pre-sales or technical consulting.
  • Proficient in Python (or a similar language, with a willingness to work in Python).
  • Comfortable using SQL and working with data management systems.

How you work

  • You’re hands-on and self-directed, with a strong sense of ownership.
  • You’re analytical and curious, always looking to understand how things work and how to make them better.
  • You collaborate naturally across teams and communicate clearly with both technical and non-technical audiences.
  • You take pride in delivering work that’s reliable, practical, and creates real value for customers.
  • You’re proactive in spotting gaps, suggesting improvements, and helping the team move faster.

If you have any of this, even better

  • Experience with PostgreSQL database design.
  • Familiarity with computer vision or ML frameworks (e.g. PyTorch).
  • Exposure to DevOps tools such as Docker, Kubernetes, or CI/CD pipelines.
  • Understanding of cloud platforms (GCP, AWS), API integrations, or data engineering best practices.

Benefits
  • Open salary structure - This role offers a competitive salary of up to £50,000 per year.
  • Celebrate our victories together - We’re on an ambitious path and when we succeed, it’s a collective win. You’ll be offered equity share options, allowing you to partake in the value you help build.
  • Hybrid-first approach - We decide together what balance works best between home and our vibrant London office near King’s Cross.
  • A culture of inclusivity - We thrive when we’re authentic with one another, fostering an environment filled with kindness, openness and trust where every voice matters and everyone feels like a vital part of our journey.
  • Time off that suits you - Enjoy a generous 25 days of annual leave along with bank holidays to unwind and recharge.
  • Company retreats - Each year, we take a step back to reflect and reconnect, enjoying some well-deserved social time together.
  • Comprehensive medical insurance - You’ll receive private medical coverage that prioritises both your physical and mental health, including dental, optical and travel insurance.
  • Growth & development – As the company grows, you’ll have the opportunity to deepen your technical expertise, influence how we build and deliver solutions, and broaden your impact across teams and customers.

Please note: We are not accepting unsolicited CVs or candidate introductions from recruitment agencies. Any profiles submitted without prior agreement will be considered the property of Neurolabs, and no fees will be payable.

Top Skills

AWS
Docker
GCP
Kubernetes
Postgres
Python
PyTorch
SQL
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The Company
HQ: London
27 Employees
Year Founded: 2018

What We Do

Neurolabs is the "go-to" Computer Vision vendor for the CPG space, with access to a product catalogue of >100K SKUs.

We develop algorithms to visually interpret and understand the grocery & CPG world. Using images from cameras, our Synthetic Computer Vision (SCV) models accurately identify and classify objects of interest, helping computers “understand” what they “see”.

Our technology is universally applicable across the CPG lifecycle. We help our partners automate CPG object recognition tasks in physical stores, logistic centres or manufacturing plants.

Our approach substitutes the expensive and rare real-world data required to train Deep Learning algorithms, with synthetically generated data to provide massive low-cost data sets in a fraction of time.

Our technology empowers both small and large customers to implement state-of-the-art CV applications with minimal incremental resources and costs — no coding required, no tedious data labelling, no image gathering.

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