At a Glance
- Tasks: Design and implement AI solutions and scalable data pipelines using modern technologies.
- Company: Established Northern Ireland organisation investing in Data, Analytics, and AI.
- Benefits: Salary up to £50,000, healthcare, pension, remote work, and staff discounts.
- Other info: Fully remote role with excellent career growth opportunities and a collaborative team culture.
- Why this job: Make a real impact with cutting-edge AI and data technologies in a supportive environment.
- Qualifications: 2+ years in AI or Data Engineering, experience with Python, Databricks, and strong analytical skills.
The predicted salary is between 40000 - 50000 £ per year.
An established and growing organisation within the Northern Ireland retail and wholesale sector is investing heavily in its Data, Analytics and AI capabilities. They are currently seeking an experienced AI Engineer to join their team and play a key role in developing modern data infrastructure, AI solutions and analytics capabilities.
Salary/Benefits
- Salary up to £40,000-£50,000
- Contributory pension scheme
- Healthcare
- Life assurance
- Employee assistance programme
- Employee recognition and discount scheme
- Staff discounts
- Social club
- 36.5-hour working week
- Predominantly fully remote working
- Excellent development and progression opportunities
About your next employer
Your next employer is a well-established Northern Ireland organisation with a significant presence in NI. Employing thousands of people, the organisation has a strong commitment to its people, customers and local communities. The business is continuing to invest in its Data, Analytics and AI function and is embracing modern technologies including Databricks, AWS, Delta Lake and Python/PySpark.
As an AI Engineer, you will have the opportunity to work at the intersection of data engineering, analytics and artificial intelligence, helping the organisation develop scalable data foundations and deliver AI-driven insights that support business decision-making and innovation. This is a predominantly remote position within Northern Ireland, with an initial three-day induction at the company's office. Following induction, office attendance will generally be required around once per month. Please note: Candidates must permanently reside in Northern Ireland and have unrestricted right to work in the UK. Visa sponsorship is not available for this position.
About you
You will be an experienced AI Engineer, Data Engineer or similar technical professional with a strong understanding of data platforms and modern analytics technologies. You will have:
- At least 2 years' experience in a similar AI Engineer, Data Engineer or related role
- Experience working with Python, PySpark and/or Databricks notebooks
- Strong knowledge of Delta Lake, data warehousing and big data concepts
- An understanding of data pipelines, ETL processes and scalable data architecture
- Excellent analytical and problem-solving skills
- Strong communication skills with both technical and non-technical stakeholders
- Experience managing and prioritising multiple tasks
- A collaborative approach with strong team-working skills
- Excellent troubleshooting and technical problem-solving abilities
- The ability to work independently and effectively within a remote environment
It would be advantageous if you also have experience with AI, machine learning, advanced analytics, AWS Glue, APIs and integrations, retail environments or Scrum methodologies. A third-level qualification in Computer Science, Engineering, Data, AI or a related discipline would also be desirable.
What you'll do
As an AI Engineer, you will play a key role in developing the data foundations and technical capabilities required to support the organisation's AI and analytics strategy. Your responsibilities will include:
- Designing and implementing efficient ETL processes using Databricks and AWS Glue
- Developing scalable data pipelines to support AI and analytics use cases
- Automating data ingestion from cloud, on-premise, API and streaming sources
- Developing scalable data architectures aligned with business requirements
- Building and maintaining data models for BI, analytics and AI applications
- Working with Delta Lake to provide scalable and reliable data storage
- Maintaining Databricks notebooks, jobs and workflows
- Supporting the development and implementation of AI and machine learning solutions
- Preparing and transforming data for advanced analytics and AI initiatives
- Ensuring data integrity, security and compliance across AI and analytics environments
- Optimising Spark jobs and Databricks workflows for performance
- Monitoring performance and proactively resolving technical bottlenecks
- Supporting the scalability of data platforms as AI and data demand increases
- Working closely with technical and business stakeholders to identify opportunities for AI-driven improvements
- Sharing knowledge and contributing to the continued development of the wider Data, Analytics and AI team
This is an exciting opportunity for an AI Engineer looking to work with modern cloud, data and AI technologies while making a tangible impact within a major Northern Ireland organisation.
Working Pattern & Location
- Salary: Up to £40,000-£50,000
- Working hours: 36.5 hours per week
- Working pattern: Monday-Thursday 8:45am-4:45pm; Friday 8:45am-3:45pm
- Location: Fully remote within Northern Ireland
- Induction: 3 days in the office
- Ongoing office attendance: Generally once per month
- Right to work: Applicants must already have unrestricted right to work in the UK
- Sponsorship: Not available
- Residency: Applicants must reside in Northern Ireland throughout their employment
For further information on this AI Engineer job, apply via the link or contact the VANRATH office for a confidential chat today.
AI Engineer (Mostly Remote) in Newtownabbey employer: VANRATH
As a Business Development Manager with our esteemed electrical wholesale client, you will thrive in a dynamic work culture that prioritises employee growth and development. With a competitive salary package, including bonuses and a company car, you will enjoy the flexibility of a field-based role while building meaningful relationships with customers in the Enniskillen area. Join a market leader that values innovation and offers exceptional career advancement opportunities in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Mostly Remote) in Newtownabbey
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at VANRATH or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to VANRATH.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like VANRATH.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like VANRATH that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer (Mostly Remote) in Newtownabbey
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at VANRATH.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at VANRATH and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at VANRATH
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If VANRATH uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
