AI Product Engineer

Iprova SA; Greater London; Hybrid; GBP 80,000 - GBP 100,000; Full time

Job summary

An innovative tech start-up in London seeks an AI Product Engineer to bridge machine learning and product development. You'll design AI-driven features and collaborate with product managers and engineers to create impactful tools. Candidates should have a Bachelor’s or Master’s in Computer Science and proven machine learning experience. The role offers remote flexibility, emphasizing engineering rigor and a product mindset that impacts technological innovation.

Benefits

Cutting-Edge Technology

Inclusive Work Culture

Flexible Working Hours

Real-World Impact

Continuous Learning

Qualifications

• Proven experience implementing machine learning systems in production.
• Strong software engineering skills in Python with backend framework experience.
• Familiarity with Kubernetes and Unix systems.

Responsibilities

• Design and implement AI-driven product features end-to-end.
• Collaborate with product managers and software engineers.
• Evaluate methods based on cost, performance, and reliability.

Skills

Machine learning

Python

AI systems design

Cloud deployment

Kubernetes

User-centered design

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

FastAPI

Django

Flask

Azure

AWS

GCP

Job description

Iprova is a pioneering and fast-growing technology start-up with offices in Lausanne,
Switzerland, and London, UK. We support some of the world’s best-known technology
companies in North America, Europe, and Japan to enable the products and services of
tomorrow to be invented faster and more disruptively than ever before. Our advanced
AI-based algorithms and software platform help our clients and in-house inventors create
breakthrough innovations.

We’ve helped customers file hundreds of patents in areas such as autonomous vehicles,
healthcare, and communications, with our inventions cited by industry leaders like
Microsoft, Google, and Amazon.

What you’ll do

We are expanding our AI engineering team and are looking for a hands-on AI Product
Engineer who can bridge machine learning, modern AI systems, and product development.
In this role, you will design, build, and iterate on AI-powered products—ranging from
language and knowledge systems to recommendation, retrieval, and decision-support
tools—which directly support our invention platform.

You will collaborate closely with product managers, invention engineers (final users) and
software engineers to turn AI capabilities into robust, user-facing features.

You’ll be responsible for:

• Designing and implementing AI-driven product features end-to-end
• Building and orchestrating agentic AI systems that use tools, APIs, or services to complete complex tasks
• Evaluating when to use LLMs, traditional ML, heuristics, or hybrids—based on cost, performance, and reliability
• Developing production ML pipelines: data ingestion, training, validation, and deployment
• Implementing model evaluation frameworks and continuous improvement loops
• Designing systems that consider robustness, safety, latency, and scalability
• Working on retrieval-augmented and search-based systems using structured and unstructured data
• Turning experimental prototypes into maintainable, production-grade software
  services

Essential Skills and Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Machine Learning, or a related field
• Proven experience implementing machine learning systems in production
• Strong software engineering skills in Python; experience with a backend framework (FastAPI, Django, or Flask)
• Solid understanding of core ML concepts and recent LLM developments:
  • supervised and unsupervised learning
  • evaluation metrics and experimental design
  • data preprocessing and feature engineering
  • prompt engineering and failure modes of LLMs
• Exposure to agentic / orchestration frameworks (e.g., LangGraph, LangChain, AutoGen, or comparable architectures)
• Experience integrating LLMs with tools and APIs (function calling, tool-use, multi-step reasoning)
• Familiarity with vector databases, knowledge graphs, or graph databases
• Experience deploying AI systems in cloud environments (Azure, AWS, or GCP)
• Comfortable working with Kubernetes and Unix systems from a dev perspective
• Strong product mindset and ability to work closely with users or stakeholders
• Work from the Shoreditch office 3 days a week

What we value

• Engineering rigor applied to AI systems, not just model training or LLM inference
• Curiosity across the ML spectrum: classical ML, deep learning, IR, knowledge graphs, and LLMs
• Ability to choose the right technique for the problem, not just the newest one
• Desire to own functionality from idea through deployment and iteration
• Interest in the interaction between people and AI systems

Benefits of joining us

• Cutting-Edge Technology: Work with modern AI, from machine learning models to agentic systems
• Inclusive Work Culture: Collaborative environment emphasizing mutual respect
• Flexible Working Hours: Arrangements that prioritize productivity and work-life balance
• Real-World Impact: Build AI systems that accelerate global technological innovation
• Continuous Learning: Opportunities to grow in ML engineering, product design, and systems architecture

Application

If you are interested in this position please send us your CV and a letter detailing why you believe you are best suited for this project, to our email address [e-mail] . We look forward to hearing from you.

Please note

During periods where we receive very high numbers of applications, we will only reply to those we wish to advance.

We will only use the information you give us for recruitment purposes. By submitting your details to apply for a position, you consent to have your personal details used to process the job application. We will treat the information in strict confidence.