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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 EcoOnline, a global tech leader dedicated to protecting people and the planet.
- Benefits: Enjoy generous paid time off, health coverage, and accelerated learning paths.
- Why this job: Make a meaningful impact while working with cutting-edge AI technology.
- Qualifications: 3+ years in AI engineering with strong Python and AWS skills.
- Other info: Be part of a diverse team committed to innovation and positive change.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Join to apply for the Senior AI Data Engineer role at EcoOnline.
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.
At EcoOnline, we believe in the power of technology to reshape how organisations protect their people and the planet, paving the way for a safer, more sustainable future. As a global SaaS leader, we’re at the forefront of innovation in workplace health, safety, and sustainability. Our team is passionate about creating meaningful impact and making a real difference. Trusted by over 11,000 customers, we’re recognised as pioneers in our field, delivering expertise and guidance to empower our customers at every stage of their safety and sustainability journey.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
- Software Development
Referrals increase your chances of interviewing at EcoOnline by 2x
Location notes: Christleton, England, United Kingdom; Liverpool, England, United Kingdom; Chester, England, United Kingdom; Wigan, England, United Kingdom; Liverpool, United Kingdom; Warrington, United Kingdom; Widnes, England, United Kingdom
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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 people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This gives potential employers a taste of what you can do, especially for a tech role like Senior AI Data Engineer.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and data engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining EcoOnline.
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 your CV highlights relevant experience in deploying ML/AI systems and working with AWS. We love seeing specific examples of your work that demonstrate your expertise and impact.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, so we can easily see how you fit into our team and culture.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at EcoOnline!
How to prepare for a job interview at EcoOnline
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI engineering, especially around LLMs and MLOps practices. Be ready to discuss your experience with deploying ML/AI systems in production and how you've used Python and AWS tools like SageMaker and Lambda.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled real-world challenges in data extraction or document intelligence. EcoOnline values innovation, so think about how your solutions made a meaningful impact and improved processes.
✨Communicate Clearly
Strong communication is key! Practice explaining complex technical concepts in simple terms. You’ll need to influence technical direction and collaborate with various teams, so being able to articulate your ideas clearly will set you apart.
✨Align with Their Mission
EcoOnline is all about protecting people and the planet. Research their mission and values, and be prepared to discuss how your personal goals align with theirs. Showing genuine interest in their mission can really make a positive impression.
