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For Companies At a Glance
- Tasks: Design and build data pipelines, develop AI solutions, and improve data quality.
- Company: Join a multi-award winning tech company with a supportive culture.
- Benefits: 25 days holiday, private medical insurance, and excellent progression opportunities.
- Other info: Be part of a diverse team committed to social responsibility and community impact.
- Why this job: Make a real impact by shaping the future of AI and data in a growing business.
- Qualifications: Experience in data engineering, strong Python and SQL skills, and AI application experience.
The predicted salary is between 60000 - 80000 £ per year.
SmartSearch’s distinctive Anti-Money Laundering verification software protects our clients by offering the most advanced and comprehensive features available from an AML provider. SmartSearch has grown rapidly by fostering an incredibly collaborative and supportive culture. As we continue our ambitious growth plans, we will strive to remain a truly exciting, rewarding, and unique place to work.
HOW WILL YOU MAKE A DIFFERENCE?
We are looking for an AI & Data Engineer to help build and scale our company’s data and AI capability. This role will be responsible for creating the data foundations that enable better analysis, smarter decision-making, and future AI-driven solutions across the business.
The successful candidate will combine strong data engineering expertise with practical AI experience. They will help structure and improve our data landscape, identify valuable opportunities for AI, and build solutions that allow the business to use data more effectively now and in the future.
VARIED DAY TO DAY RESPONSIBILITIES
- Design, build, and maintain data pipelines that collect, clean, transform, and structure data from multiple sources
- Develop data architecture and models that support reporting, analytics, automation, and AI use cases
- Identify opportunities to use AI to analyse data, automate manual work, improve decision-making, and support business growth
- Build and deploy AI-powered solutions such as classification, summarisation, forecasting, anomaly detection, and intelligent workflow tools
- Work closely with business and technical stakeholders to understand requirements and translate them into scalable data and AI solutions
- Improve the quality, accessibility, and reliability of company data for current and future use
- Support the development of the company’s longer-term AI and data strategy
- Evaluate tools, technologies, and platforms that strengthen our data and AI capabilities
- Establish best practices for data management, experimentation, model deployment, and documentation
- Ensure appropriate governance, security, and responsible use of data and AI systems
WHAT ARE WE LOOKING FOR IN A CANDIDATE?
- Experience in data engineering, analytics engineering, machine learning engineering, or AI engineering roles
- Strong Python and SQL skills
- Experience building and maintaining ETL or ELT pipelines
- Strong understanding of data modelling, data transformation, and data quality
- Experience working with cloud platforms and modern data infrastructure
- Hands-on experience applying AI or machine learning to real business problems
- Experience handling both structured and unstructured data
- Ability to work across the full lifecycle from data ingestion to production-ready AI solutions
- Strong communication skills and ability to work with cross-functional teams
Preferred experience
- Experience with LLMs and related tooling
- Familiarity with vector databases, embeddings, retrieval systems, or AI workflow orchestration
- Experience with BI and reporting platforms
- Experience deploying models or AI systems into production environments
- Familiarity with MLOps, data governance, and responsible AI practices
- Experience in a growing business where data capability is still being developed
WHAT IS LIFE LIKE AT SMARTSEARCH?
We are a multi-award winning Tech company with an aspirational mentality. Some of our most recent recognitions include: named in the renowned RegTech100 list for 2024, listed in the Top 100 Fastest Growing Tech Companies by Northern Tech Awards 2024 as well as being named Technology Provider of the Year by Corporate Finance Awards 2024. We have been Great Place To Work Certified since 2022. There are excellent progression opportunities due to our growth and you will have personal development goals, regular feedback and support. We are a diverse and inclusive team committed to promoting Diversity & Inclusion and Social Responsibility. Through our DE&I group, charitable initiatives and support for local schools, we actively foster a positive impact on our community.
COMPANY BENEFITS
- 25 days holiday rising to 30 with each year of service
- Private Medical Insurance covering dental and optical
- Company pension scheme
- Life Assurance – 4x your annual salary
- 1 day paid volunteering per year
- Enhanced maternity / paternity offerings
- Employee Assistance Programme
- Cycle to work scheme
- On site gym
AI Data Engineer in Ilkley employer: The Learning People Uk
Contact Detail:
The Learning People Uk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Engineer in Ilkley
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at SmartSearch. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects or AI solutions. This gives us a tangible way to see what you can do and how you think about problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We love candidates who can communicate complex ideas clearly, so practice explaining your past projects and decisions.
✨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 our awesome team at SmartSearch.
We think you need these skills to ace AI Data Engineer in Ilkley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Data Engineer role. Highlight your data engineering expertise, Python and SQL skills, and any relevant AI projects you've worked on. We want to see how you can make a difference!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how your background aligns with our mission at SmartSearch. Keep it engaging and personal – we love getting to know our candidates!
Showcase Your Projects: If you've worked on any cool data or AI projects, don’t hold back! Include links to your GitHub or any relevant portfolios. This gives us a glimpse into your hands-on experience and problem-solving skills, which are super important for this role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen on joining our awesome team at SmartSearch!
How to prepare for a job interview at The Learning People Uk
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially in Python and SQL. Be ready to discuss your experience with ETL or ELT pipelines and how you've handled both structured and unstructured data in past projects.
✨Showcase Your AI Experience
Prepare to talk about specific AI projects you've worked on. Highlight any real business problems you've solved using machine learning or AI techniques, and be ready to explain the impact of those solutions on decision-making and efficiency.
✨Understand the Company’s Needs
Research SmartSearch and their Anti-Money Laundering software. Think about how your skills can help improve their data landscape and AI capabilities. Tailor your answers to show how you can contribute to their ambitious growth plans.
✨Communicate Effectively
Since this role involves working with cross-functional teams, practice explaining complex technical concepts in simple terms. Good communication is key, so be prepared to demonstrate how you can bridge the gap between technical and non-technical stakeholders.