Machine Learning Engineer
Olive Jar DigitalUnited Kingdom5 days ago
Full-timeRemote FriendlyEngineering, Information Technology
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
FTC or Permanent
UK-wide, Remote
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.
About Olive Jar Digital
As we grow, we empower our teams to develop their roles and functions and offer support to get you from where you are now, to where you want to be. Moving towards our 10th year, we are now an established brand, building digital products and services and championing the provision of expert talent to enhance customer and in-house teams, satisfying all user needs.
We are a professional, fun, fully Inclusive and diverse digital consultancy, valuing everyone’s opinion. With a huge growth plan over the next two years, we are looking to expand our client facing delivery team with designers, developers, and testers as we continue to expand our project portfolio.
Responsibilities
UK-wide, Remote
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.
About Olive Jar Digital
As we grow, we empower our teams to develop their roles and functions and offer support to get you from where you are now, to where you want to be. Moving towards our 10th year, we are now an established brand, building digital products and services and championing the provision of expert talent to enhance customer and in-house teams, satisfying all user needs.
We are a professional, fun, fully Inclusive and diverse digital consultancy, valuing everyone’s opinion. With a huge growth plan over the next two years, we are looking to expand our client facing delivery team with designers, developers, and testers as we continue to expand our project portfolio.
Responsibilities
- Build, refine, and optimise 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.
- 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.
- 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
Key Skills
Ranked by relevanceReady to apply?
Join Olive Jar Digital and take your career to the next level!
Application takes less than 5 minutes