AI Engineer

Job not on LinkedIn

🔥 13 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Team Up - We Build Teams

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Team Up is an innovative company focused on building remote teams for businesses looking to enhance their workforce. By providing a platform for recruitment, employer of record (EOR) services, and a diverse talent pool that includes developers, designers, marketing experts, and more, Team Up delivers a comprehensive solution for companies to efficiently hire and manage remote professionals. With a proven track record of client retention and substantial savings in hiring costs, Team Up is committed to reshaping the future of work.

📋 Description

• Design, develop, and deploy machine learning and AI systems for real-world applications • Build and optimize custom AI models for domain-specific tasks • Design and maintain data mining, data preprocessing, and data-labeling pipelines • Work with large datasets, including feature engineering and data preparation • Apply machine learning techniques across areas such as LLMs, NLP, computer vision, or other AI domains • Train, evaluate, optimize, and improve machine learning models • Develop and maintain model deployment and MLOps pipelines • Deploy and serve models using cloud platforms and containerized environments • Use tools such as Docker, Git, and relevant MLOps platforms in collaborative development workflows • Analyze model performance and identify opportunities for improvement • Communicate technical concepts and project progress to non-technical stakeholders

🎯 Requirements

• 2–5 years of hands-on experience building and deploying ML/AI models in production environments • Strong proficiency in Python • Practical experience with PyTorch and/or TensorFlow • Experience designing and architecting custom AI models • Experience with LLMs, NLP, computer vision, or other AI domains • Strong understanding of supervised and unsupervised learning, deep learning architectures, optimization, and evaluation metrics • Experience with data preprocessing, feature engineering, data mining, and data-labeling pipelines • Familiarity with MLOps tools and model deployment platforms such as MLflow, Kubeflow, or SageMaker • Knowledge of cloud platforms and services used for model training and serving, such as AWS Lambda • Experience with Docker and containerized model deployment • Familiarity with Git and collaborative software development practices • Strong analytical and problem-solving skills • Ability to communicate complex technical concepts to non-technical stakeholders • Curiosity-driven mindset and comfort working with ambiguity

🏖️ Benefits

• Remote work arrangement