AI Summary
Design, build, deploy, and maintain machine-learning solutions. Collaborate with cross-functional teams. Deploy models in production environments.
Key Highlights
Design, build, deploy, and maintain machine-learning solutions
Collaborate with cross-functional teams
Deploy models in production environments
Technical Skills Required
Benefits & Perks
Fully remote work
No visa sponsorship
No relocation package
Job Description
Job Title: AI/ML Engineer
Employment Type: Full-time, Permanent
Location: Fully Remote (United Kingdom)
Experience Level: 0–15 years
Work Eligibility: Must already have the right to work in the UK. No visa sponsorship provided.
About The Role
We are seeking a highly motivated AI/ML Engineer to join our team on a permanent, fully-remote basis within the UK. This role is open to candidates with a wide range of experience—from early-career engineers with strong foundational knowledge to seasoned professionals with up to 15 years in the field.
You will design, build, deploy, and maintain machine-learning solutions that support key product and business initiatives. The ideal candidate has strong problem-solving skills, a solid understanding of ML fundamentals, and the ability to work independently in a remote-first environment.
Key Responsibilities
- Develop and implement machine-learning models across supervised, unsupervised, or deep-learning domains.
- Collect, clean, preprocess, and analyze data to support ML workflows.
- Build scalable pipelines for training, evaluation, and deployment.
- Conduct model validation, error analysis, and performance optimization.
- Collaborate with cross-functional teams including product, engineering, and data teams.
- Deploy models in production environments (APIs, microservices, or cloud-based infrastructures).
- Maintain documentation, ensure reproducibility, and follow ML best practices.
- Support continuous improvement of ML systems and processes.
- Legal right to work in the UK (mandatory). No sponsorship available now or in the future.
- Strong programming experience with Python.
- Understanding of ML concepts including feature engineering, model selection, training, and evaluation.
- Experience with ML frameworks such as scikit-learn, TensorFlow, PyTorch.
- Familiarity with data-manipulation libraries such as pandas, NumPy.
- Good problem-solving skills and ability to work independently in a remote environment.