ML Engineer (Computer Vision+Forecasting)

9 Minutes ago • 4 Years +

Research Development

Job Description

We are seeking an AI/ML Engineer to solve practical problems using machine learning and data, combining expertise in Computer Vision and Forecasting/Time-Series Modeling. The role involves designing, training, and deploying ML models for various data types, building and maintaining cloud-native data pipelines, developing and optimizing forecasting models, and collaborating with engineering teams to deliver scalable solutions.

Good To Have:

Knowledge of LLMs, RAG, or vector databases
Experience developing PoC or production AI systems
Understanding of cost optimization and latency reduction in cloud ML setups

Must Have:

Design, train, and deploy ML models for video, image, and time-series data
Build and maintain data pipelines using cloud-native tools (AWS, GCP, or Azure)
Develop and optimize forecasting models (Prophet, ARIMA, LSTM, TimeGPT)
Work with event-driven architectures (Kinesis, Kafka, or similar)
Collaborate with data, product, and cloud engineers to deliver reliable, scalable solutions
Participate in PoC development and discovery phases, presenting your work to stakeholders.

Add these skills to join the top 1% applicants for this job

team-management

team-player

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aws

azure

opencv

data-science

pytorch

computer-vision

python

open-cv

tensorflow

machine-learning

Founded in 2019 by a former Apple, Nest, and Google executive, the company's mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.

Clients operate in industries like healthcare, life sciences, fintech, retail, e-commerce, finance and many more - giving the team exposure to real-world, high-impact projects.

About the Role

We’re looking for an AI/ML Engineer who enjoys solving practical problems using machine learning and data.

The role combines experience in Computer Vision and Forecasting / Time-Series Modeling, offering opportunities to work on multiple types of AI projects.

The role is also open to engineers with experience in either Computer Vision, Forecasting, or both - depending on potential project alignment.

Potential example of projects:

Computer Vision - developing intelligent systems that detect and interpret objects or actions from real-time video streams using cloud-based or custom ML models.

Forecasting / Predictive Modeling - building models that predict demand, optimize scheduling, or enhance resource utilization using time-series data and advanced statistical methods.

Responsibilities:

Design, train, and deploy ML models for video, image, and time-series data
Build and maintain data pipelines using cloud-native tools (AWS, GCP, or Azure)
Develop and optimize forecasting models (Prophet, ARIMA, LSTM, TimeGPT)
Work with event-driven architectures (Kinesis, Kafka, or similar)
Collaborate with data, product, and cloud engineers to deliver reliable, scalable solutions
Participate in PoC development and discovery phases, presenting your work to stakeholders.

Essential knowledge, skills & experience (must-have):

4+ years of experience in Machine Learning / Data Science
Strong programming skills in Python
Experience with Computer Vision (OpenCV, PyTorch/TensorFlow, or AWS Rekognition)
Background in Forecasting / Time-Series Modeling (Prophet, ARIMA/SARIMA, TimeGPT, XGBoost or similar)
Cloud experience (AWS, GCP, or Azure)
Familiarity with real-time data pipelines or stream processing