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For Companies At a Glance
- Tasks: Design and deploy AI features that solve real-world challenges in data extraction and automation.
- Company: Join a global tech company dedicated to protecting people and the planet.
- Benefits: Generous paid time off, robust health coverage, and accelerated learning paths.
- Why this job: Make a meaningful impact while working with industry experts on innovative projects.
- Qualifications: 3+ years in AI engineering with strong Python and AWS skills.
- Other info: Inclusive culture that values diversity and personal growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
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
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Senior AI Data Engineer employer: EcoOnline
Contact Detail:
EcoOnline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at EcoOnline on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior AI Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves deploying LLM-powered features, be ready to discuss your experience with Python, AWS, and MLOps practices. Show us you know your stuff!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your soft skills too! Communication and stakeholder management are key in this role. Be prepared to share examples of how you've influenced technical direction in past projects.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your genuine interest in being part of our mission to protect people and the planet.
We think you need these skills to ace Senior AI Data Engineer
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and data engineering shine through. We want to see how your values align with our mission to protect people and the planet!
Tailor Your CV: Make sure to customise your CV to highlight relevant experience in AI engineering and MLOps practices. We love seeing how your skills can directly contribute to our innovative projects.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you on the path to joining our amazing team.
How to prepare for a job interview at EcoOnline
✨Know Your Tech Inside Out
As a Senior AI Data Engineer, you’ll need to showcase your deep expertise in Python and modern AI/ML frameworks. Brush up on your knowledge of LLMs, AWS AI stack, and MLOps practices. Be ready to discuss specific projects where you've implemented these technologies.
✨Demonstrate Your Problem-Solving Skills
Prepare to talk about real-world challenges you've solved using AI. Think of examples where you designed, deployed, or optimised AI systems. Highlight how your contributions made a meaningful impact, especially in document intelligence or data extraction.
✨Showcase Your Leadership Abilities
This role requires acting as a technical leader. Be prepared to discuss your experience mentoring others and setting engineering standards. Share instances where you influenced technical direction and collaborated with cross-functional teams.
✨Align with Their Mission
EcoOnline is all about protecting people and the planet. Make sure you understand their mission and values. During the interview, express how your personal goals align with theirs and how you can contribute to driving positive change through your work.
