Senior AI Data Engineer

EcoOnline; City of Edinburgh; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A global tech company is seeking a Senior AI Data Engineer in Edinburgh to design and implement LLM-powered features. This senior role involves collaborating with teams to drive innovation in document intelligence and data automation. Candidates should have over 3 years of experience in AI engineering, strong Python skills, and a background in operationalising ML/AI systems. The position also offers a hybrid work arrangement along with generous benefits.

Benefits

Generous Paid Time Off

Extended Parental Leave

Robust Health Coverage

Accelerated Learning Paths

Team Wellness Initiatives

Company-wide Events

Employee Resource Groups

Recognition awards

Qualifications

• 3+ years of experience in AI engineering, preferably in production environments.
• Proven track record in deploying ML/AI systems at scale.
• Hands-on expertise in operationalising LLMs and MLOps practices.

Responsibilities

• Design and deploy LLM-based features using RAG and augmentation techniques.
• Implement automated workflows to classify and structure data.
• Collaborate with teams to maintain robust data pipelines.

Skills

AI engineering

Python

MLOps practices

Stakeholder management

Education

Degree in Computer Science, Machine Learning, Data Science, or related discipline

MSc preferred

Tools

AWS ML stack

modern AI/ML frameworks

Job description

Overview

Want to be a part of a company that's making a difference? We're a growing global tech company, with huge potential for curious and caring minds, committed to each other, to deliver solutions that protect people and the planet for future generations. Our team of experts are focused on creating meaningful impact and making a real difference for our customers.

Impact: A strong connection to our mission through product, customer and impact is essential. We protect people and the planet by helping businesses mitigate risks and create safer, healthier workplaces.

Innovation: Trusted by over 11,000 customers, you\'ll have the chance to work with industry experts and thought leaders, dedicated to driving positive change. We believe in fostering a trusting environment that empowers our team to grow, innovate, and succeed.

Growth: Connect commercial growth to personal growth opportunities. Benefit from a wide range of learning opportunities for ambitious professionals seeking development in a rapidly expanding sector.

We\'re on a mission to protect people and the planet by building and deploying transformative software. We need everyone\'s energy and commitment, regardless of region or rank, to make that mission a reality for millions more customers.

Our culture code, a set of principles that underpins our values, is our commitment to each other and working better together.

Join EcoOnline and be part of a mission dedicated to driving positive change. Read on to learn more about the opportunity and how you can have a positive impact!

About the Role

As a Senior AI Data Engineer at EcoOnline, you will own the design, deployment, and optimisation of LLM-powered features in production, solving real-world challenges in document intelligence, data extraction, and sourcing automation. Leading open-source frameworks to build robust systems, while guiding best practices in model evaluation, monitoring, and operationalisation. Beyond immediate priorities, you\'ll help shape EcoOnline\'s roadmap for fine-tuning and advanced model customisation. This is a senior role where your expertise will directly influence product capabilities and technical direction, making a meaningful impact for thousands of organisations worldwide.

Key Responsibilities

• Design, implement, and deploy LLM-based features using RAG and other augmentation techniques.
• Implement automated sourcing workflows using AI to identify, classify, and structure data from multiple sources.
• Integrate AI services into our SaaS products through APIs, microservices, and the enterprise integration layer.
• Leverage AWS AI stack (Bedrock, Lambda) for scalable AI workflows.
• Collaborate with data engineers, developers and analytics teams to build and maintain robust data pipelines.
• Establish monitoring, retraining, and feedback loops to ensure AI systems remain accurate and relevant.
• Document models, datasets, and processes to ensure reproducibility and compliance with governance standards.

What we\'re looking for

• AI engineering, with 3+ years at senior or lead level.
• Proven track record deploying ML/AI systems in production at scale.
• Deep expertise in Python and modern AI/ML frameworks.
• Strong experience operationalising LLMs (prompt engineering, embeddings, RAG pipelines, evaluation).
• Hands-on knowledge of AWS ML stack (SageMaker, Bedrock, Lambda, Step Functions, DynamoDB, S3, EKS/ECS).
• Solid grounding in MLOps practices: monitoring, CI/CD for ML, retraining and lifecycle management.
• Ability to act as a technical leader, mentoring others and setting engineering standards.
• Strong communication and stakeholder management skills; able to influence technical direction.
• Education: Degree in Computer Science, Machine Learning, Data Science, or related discipline. MSc preferred.
• Certifications: AWS AI/ML Specialty or equivalent senior-level credential desirable.

Our Benefits

We offer a variety of global benefits which are listed below! Please note a country-specific breakdown will be provided during your interview process.

• Generous Paid Time Off
• Extended Parental Leave
• 🩹 Robust Health Coverage
• Accelerated Learning Paths
• Team Wellness Initiatives
• Company-wide Events
• Employee Resource Groups
• Recognition awards

EcoOnline is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels safe and empowered to be themselves. Our Talent Acquisition team reviews all applications and believes in the potential of individuals who may not meet all the specific requirements but demonstrate the attitude, alignment with our values and drive to succeed.

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need any assistance due to a disability, please speak to your talent acquisition partner.

#LI-Hybrid

Department Research & Development Locations Edinburgh, United Kingdom, Liverpool, United Kingdom, Stratford-upon-Avon, United Kingdom, London, United Kingdom Remote status Hybrid