Artificial Intelligence Engineer

Job Title:

Location:

Employment Type:

About Profice:

Profice

About this role:

We are looking for a highly skilled AI Engineer

data ingestion and cleaning

UK time zone

Key Responsibilities

Data Engineering & Profiling

• Ingest and process large, complex datasets (new and historical employee data).
• Identify, clean and handle missing or inconsistent data.
• Develop data-profiling pipelines to extract features, identify trends and prepare training / ev luation datasets.
• Work with structured datasets (CSV, Excel, XML, JSON) to preprocess, clean and transform them efficiently.

Machine Learning & Analytics

• Build, train and optimize machine learning models for anomaly detection, data-quality scoring and pattern recognition (e.g., Isolation Forest, Autoencoders, One-Class SVM).
• Apply statistical and ML methods to evaluate data quality and detect inconsistencies.
• Create feedback loops to continuously improve AI model performance based on user corrections and validation results to improve accuracy.

Integration & Services

• Collaborate with backend developers to integrate AI as REST, gRPC (or message-queue) services into the main application.
• Where appropriate, package models via ONNX Runtime / ML.NET for low-latency, in-process inference.
• Collaborate with DevOps to containerize and deploy AI models using Docker on Azure / AWS.

Key Skills & Qualifications

• Strong proficiency in Python

  and hands-on experience with ML and data libraries (e.g., Pandas, NumPy, Scikit-learn, PyOD, TensorFlow, PyTorch).

• Knowledge of ML.NET or ONNX

  for integrating models with .NET environments
• Experience building and deploying

  RESTful / gRPC AI microservices

  (FastAPI, Flask or .NET Core).

• Deep understanding of ML algorithms and statistical models

  , especially for anomaly detection and predictive analytics.

• Proven experience in data engineering

  — designing and automating ETL pipelines, data cleansing and transformations.
• Familiarity with

  SQL

  /

  noSQL

  databases,

  data warehousing

  and

  data-profiling

  tools.
• Proficiency with

  Docker and containerised deployment

  of ML models.
• Excellent English communication skills (written and verbal).

Who are we?

Here at Profice, we build intelligent, scalable and people-centric software solutions that simplify the management of workforces in businesses.

Rooted in our passion and interest for both technology and HR transformation, our mission is to bridge the gap between raw HR data and operational efficiency. With extensive expertise across software development, data integration and global HR system rollouts, we empower and inspire organizations to make their people data work smarter.

What makes Profice a great place to work?

At Profice, we strongly believe in work-life balance and the continuous growth of our employees. Our employees are entirely remote based, focusing on delivering high-quality results on time without compromising standards. Our agile culture fosters open communication, eliminating rigid hierarchies and enabling direct access to leadership. We provide abundant opportunities to learn, innovate and thrive in a dynamic environment.