Title - Remote AI & Machine Learning Engineer (Client Based in the US)
Location - Remote (Candidates globally welcome – working hours overlap with US time zones preferred)
Due to the urgency of these requirements, our client is only accepting applications from applicants who have the right to work and live in US & Europe.
About the Company
Our client is a rapidly scaling technology firm headquartered in New York, specialising in advanced data intelligence and applied AI systems for enterprise customers. Their platforms are used by Fortune 500 companies to optimise operations, reduce costs, and unlock novel insights from complex datasets.
With a commitment to cutting-edge innovation, the company is building a new ML engineering team to develop robust and scalable AI services — and is now seeking exceptional remote talent to join them.
The Role -
As an AI & ML Engineer, you will be at the heart of the company’s next generation of intelligent products. You will work closely with data scientists, backend developers, and product managers to research, prototype, and deploy machine learning models into production environments.
This is a hands-on role requiring solid engineering skills, curiosity, and a product-oriented mindset.
Required Skills -
- Design, develop, and deploy machine learning models for structured and unstructured data
- Collaborate with cross-functional teams to integrate ML capabilities into production-grade APIs and services
- Optimise model performance and monitor live systems for accuracy, drift, and bias
- Conduct data pre-processing, feature engineering, and model validation
- Keep abreast of new research in deep learning, generative AI, and reinforcement learning and apply findings where relevant
- Work with MLOps engineers to automate model training, testing, and deployment pipelines
- Participate in code reviews and contribute to engineering best practices
Desired Qualifications -
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Applied Mathematics, or similar
- 3+ years of experience developing and deploying ML models in production environments
- Strong knowledge of Python and ML libraries (e.g. scikit-learn, TensorFlow, PyTorch)
- Experience with cloud platforms (AWS, GCP or Azure)
- Understanding of software engineering principles (version control, CI/CD, containerisation)
- Excellent problem-solving and communication skills
Desirable -
- Experience working with LLMs or generative AI frameworks (e.g. LangChain, OpenAI APIs)
- Familiarity with MLOps tools such as MLflow, Kubeflow, or SageMaker
- Prior experience working in a fully remote or distributed team
We would love to hear from you!
Please apply now by sending your CV to Daniel at daniel@teletechpartners.com or contact teletech Partners on +44 203 640 7429.
