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
Powered by JazzHR
#J-18808-Ljbffr”, “datePosted”: “2026-04-11”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Olive Jar Digital”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__402673471__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }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
Powered by JazzHR
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