ML Engineer (Computer Vision+Forecasting) | GT at Jobgether

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

0.0

Posted On

28 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Computer Vision, Forecasting, Data Science, Python, OpenCV, PyTorch, TensorFlow, AWS, GCP, Azure, Prophet, ARIMA, LSTM, Kinesis, Kafka

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an ML Engineer (Computer Vision + Forecasting) | GT in Europe. We are seeking a skilled ML Engineer with expertise in computer vision, forecasting, or both, to work on diverse, high-impact AI projects. You will design, train, and deploy machine learning models that solve practical problems using image, video, and time-series data. The role involves building scalable data pipelines, optimizing predictive models, and collaborating closely with data, product, and cloud engineering teams. You will have the opportunity to contribute to PoC development, participate in discovery phases, and influence the implementation of AI solutions across multiple domains. This remote position provides exposure to innovative projects across industries such as healthcare, fintech, e-commerce, and life sciences. Accountabilities: Design, train, and deploy ML models for computer vision and forecasting tasks. Build and maintain cloud-based data pipelines using AWS, GCP, or Azure. Develop and optimize predictive models for time-series data using Prophet, ARIMA, LSTM, TimeGPT, or similar frameworks. Work with event-driven architectures, including Kinesis, Kafka, or equivalents. Collaborate with cross-functional teams to deliver scalable, reliable, and efficient AI solutions. Participate in proof-of-concept development, presenting results and recommendations to stakeholders. 4+ years of experience in Machine Learning or Data Science. Strong programming skills in Python. Experience with computer vision tools and frameworks such as OpenCV, PyTorch, TensorFlow, or AWS Rekognition. Background in forecasting and time-series modeling (Prophet, ARIMA/SARIMA, TimeGPT, XGBoost, or similar). Cloud experience in AWS, GCP, or Azure. Familiarity with real-time data pipelines or stream processing. Strong sense of ownership, proactive attitude, and ability to work independently. Excellent communication skills with technical and non-technical stakeholders. Comfortable with ambiguity and capable of defining requirements and driving strategic impact. Nice-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. Competitive salary and performance-based incentives. Flexible remote work arrangement across Europe. Opportunities to work on cutting-edge AI projects with high business impact. Professional growth through exposure to multiple industries and technical domains. Collaboration with a global, cross-functional team. Supportive environment promoting autonomy, ownership, and learning. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile is reviewed through our AI-powered screening system designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile, analyzing your skills, experience, and achievements. 📊 It compares your profile against the job’s core requirements and past success factors to calculate your match score. 🎯 The top three candidates with the highest match are automatically shortlisted. 🧠 When necessary, our human team may conduct a manual review to ensure no strong profile is missed. This process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, it is shared with the hiring company, which manages the final decision and next steps such as interviews or assessments. Thank you for your interest! #LI-CL1

Responsibilities

The ML Engineer will design, train, and deploy machine learning models for computer vision and forecasting tasks. They will collaborate with cross-functional teams to deliver scalable, reliable, and efficient AI solutions.