Machine Learning Engineer

Olive Jar Digital; Greater London; Remote; GBP 70,000 - 90,000; Full time

Benefits offered by this job

25 Days Annual Leave

Health Insurance

Pension Scheme

Annual Bonus Scheme

Annual Salary Review

Electric Car Scheme

Job summary

A digital innovation company in the UK is seeking a Machine Learning Engineer to design, build, and refine AI prototypes. This remote role involves collaboration with engineers and data scientists to create scalable solutions and ensure robust deployment. Ideal candidates have strong ML development skills, experience with Python, and a solid understanding of MLOps. The position offers a dynamic work environment and opportunities for technical problem-solving and collaboration.

Qualifications

• Strong experience in AI/ML product development.
• Proficiency in building ML pipelines and automated testing.
• Solid software engineering skills with Python.

Responsibilities

• Build and optimize AI/ML prototypes meeting quality standards.
• Develop technical design documentation and maintain model pipelines.
• Implement automated deployment pipelines and CI/CD flows.
• Deploy models into development and test environments and support iterative updates based on feedback.
• Collaborate with data scientists on model integration, feature engineering, and evaluation frameworks.
• Ensure codebases follow best practices in engineering, documentation, security, and accessibility. Support playback sessions, technical reviews, and knowledge-transfer activities.

Skills

Machine Learning pipelines

APIs

Cloud-based deployments

Automated testing

Python

Version control

CI/CD

Collaboration

Tools

MLOps tooling

Containerization

Cloud-native environments

Containerisation

Job description

Machine Learning Engineer

Olive Jar Digital

About The Role

Olive Jar Digital is seeking a Machine Learning Engineer to help design, build, and refine AI prototypes across multiple Discovery and Alpha initiatives. You will work at the intersection of engineering and data science—transforming experimental models into high‑quality, scalable prototypes, shaping technical architecture, and ensuring robust deployment, testing, and documentation. This role is ideal for someone who enjoys hands‑on technical problem‑solving, rapid iteration, and collaborating closely with data scientists, engineers, product managers, and researchers.

FTC or Permanent • UK‑wide, Remote

Responsibilities

• Build, refine, and optimize AI/ML prototypes, ensuring they meet quality, security, and performance standards.
• Develop and maintain technical design documentation, including architecture, model pipelines, and integration patterns.
• Implement automated deployment pipelines, CI/CD flows, unit/regression testing, and monitoring/telemetry for prototypes.
• Deploy models into development and test environments and support iterative updates based on feedback.
• Collaborate with data scientists on model integration, feature engineering, and evaluation frameworks.
• Ensure codebases follow best practices in engineering, documentation, security, and accessibility. Support playback sessions, technical reviews, and knowledge‑transfer activities.

About You

• Strong experience as an ML Engineer or similar role within AI/ML product development.
• Proficiency in building ML pipelines, APIs, cloud‑based deployments, and automated testing.
• Solid software engineering skills (e.g., Python, version control, CI/CD, cloud platforms).
• Ability to work collaboratively with data scientists, engineers, and product teams.
• Comfortable producing clear, structured technical documentation.
• Experience with LLMs, vector databases, retrieval‑augmented generation, or intelligent search.
• Familiarity with MLOps tooling, containerisation, and cloud‑native environments.
• Exposure to rapid prototyping in Discovery/Alpha phases.

Benefits

• 25 Days Annual Leave per annum (plus 8 Bank Holidays as standard)
• Health Insurance
• Pension Scheme
• Annual Bonus Scheme
• Annual Salary Review
• Electric Car Scheme

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