Key Facts

Remote From:

Anywhere

Full time

Expert & Leadership (>10 years)

English

Hard Skills

Other Skills

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Communication
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Teamwork
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Knowledge Transfer
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Problem Solving

Roles & Responsibilities

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 (Python, version control, CI/CD, cloud platforms) and ability to produce clear technical documentation; collaborative with data scientists, engineers, and product teams.
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.

Requirements:

Build, refine, and optimise AI/ML prototypes, ensuring 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 to development and test environments and iterate 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.

Olive Jar Digital

About Olive Jar Digital

Olive Jar Digital has extensive experience in building highly secure, resilient, highly available and scalable websites. We focus on user experience and only build what the end user needs and understands. We deliver our projects using the Agile methodology, in particular Scrum and Kanban. This enables us to deliver on time, on budget and focus on priorities that could shift at any moment. The consultants we engage are either people that we have worked with over the years, have been recommended based on their performance, or have been interviewed and tested by us first. With Olive Jar you get a professional, honest service where we look to build a relationship with you and support you over the years to come. We believe that in order to track the quality of performance effectively, our delivery team, the end client, and our account management team need to buy into a Continual Service Feedback and Improvement ethos. The resources we can provide include: • Full Agile Teams • Delivery Managers • Business Analysts • Technical Architects • Scrum Masters • User Experience Designers • Visual Designer • User Researchers • Developers / Developers in Test • Testers Specialties: IT Consultancy, Software Support, Software Development, Website Design, Agile Delivery, Continuous Delivery

Founded: 2018

Company size: 11 - 50

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Job 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 11th 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.

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.