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 Lisburn 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 Lisburn
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We think you need these skills to ace AI Engineer (Mostly Remote) in Lisburn
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at VANRATH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at VANRATH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at VANRATH
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at VANRATH!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
