At a Glance
- Tasks: Design and build AI-driven solutions to modernise complex systems.
- Company: Coba IT, partnering with a forward-thinking client in AI innovation.
- Benefits: Hybrid working, impactful projects, and a collaborative culture.
- Other info: Exciting opportunities for growth in a dynamic, innovative environment.
- Why this job: Join us to tackle real-world challenges with cutting-edge AI technology.
- Qualifications: Experience in data engineering, Python, SQL, and cloud platforms.
The predicted salary is between 60000 - 80000 € per year.
Coba IT are hiring on behalf of a client for an AI Engineer to help drive forward cutting‑edge AI and data‑led transformation within a complex, regulated environment. This is a fantastic opportunity for someone who enjoys solving real‑world problems with AI—building scalable data solutions that power next‑generation systems.
The Role
- Design, build and optimise data‑driven and AI‑enabled solutions that support business‑critical platforms.
- Work across engineering, product, and business teams to turn requirements into intelligent, scalable systems—helping drive modernisation and innovation across large‑scale environments.
Key Responsibilities
- Design and deliver high‑quality, scalable software and data solutions.
- Build and maintain production‑grade data pipelines and architectures.
- Collaborate with cross‑functional teams to define requirements and solution strategies.
- Ensure solutions are secure, performant, and aligned with best practices.
- Contribute to code reviews and promote a culture of quality and knowledge sharing.
- Support AI initiatives, including data preparation and pipeline development for AI/ML use cases.
- Apply testing, CI/CD, and DataOps/MLOps practices to ensure reliability.
- Stay ahead of emerging trends in AI, data, and engineering.
What We’re Looking For
- Strong experience in data engineering and building modern data pipelines.
- Proficiency in Python and SQL.
- Experience with tools/frameworks such as Spark, Airflow, Kafka, dbt.
- Knowledge of cloud data platforms (e.g. AWS, Azure, Snowflake, Databricks).
- Understanding of DataOps/MLOps, including CI/CD and data quality management.
- Experience supporting AI/ML workloads (e.g. embeddings, vector databases, RAG pipelines).
- Ability to work in fast‑paced, regulated environments.
- Strong stakeholder engagement and problem‑solving skills.
- Experience with LangChain, LlamaIndex, Hugging Face or similar.
- Knowledge of containerisation (Docker, Kubernetes) and infrastructure as code (Terraform).
- Experience with streaming/real‑time data architectures (Kafka, Flink).
- Exposure to data visualisation tools (Power BI, Tableau, Looker).
What’s on Offer
- Hybrid working based in Northampton.
- Opportunity to work on high‑impact AI and data transformation projects.
- A collaborative, forward‑thinking engineering culture.
- Strong focus on innovation, modernisation, and continuous improvement.
If you’re excited by the idea of using AI to solve complex business challenges—and want to work on projects that genuinely push boundaries—this could be a great next move.
AI Engineer in Northampton employer: Coba IT Consultants
Coba IT offers an exceptional work environment for AI Engineers, fostering a collaborative and innovative culture that prioritises continuous improvement and professional growth. Located in Northampton, employees benefit from hybrid working arrangements and the opportunity to engage in high-impact AI and data transformation projects that address real-world challenges. With a strong emphasis on modernisation and cutting-edge technology, this role provides a unique chance to contribute to meaningful advancements in a complex, regulated setting.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Northampton
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data engineering space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, or any cool AI solutions you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and data engineering questions. Practice explaining your thought process when solving problems, as this will demonstrate your problem-solving skills and technical knowledge.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of landing that interview. Let’s get you started on your next big adventure!
We think you need these skills to ace AI Engineer in Northampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the AI Engineer role. Highlight your experience with data engineering, Python, and any relevant tools like Spark or Airflow. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you've tackled real-world problems in the past. Let us know why you're excited about this opportunity and how you can contribute to our innovative projects.
Showcase Your Projects:If you've worked on any cool AI or data projects, make sure to mention them! Whether it's building data pipelines or using ML frameworks, we love seeing practical examples of your work that demonstrate your problem-solving skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Coba IT Consultants
✨Know Your Tech Stack
Make sure you’re well-versed in the tools and frameworks mentioned in the job description, like Python, SQL, and Spark. Brush up on your knowledge of cloud platforms like AWS or Azure, as well as DataOps/MLOps practices. Being able to discuss these technologies confidently will show that you're ready to hit the ground running.
✨Showcase Problem-Solving Skills
Prepare examples of real-world problems you've solved using AI or data engineering. Think about specific projects where you designed scalable solutions or optimised data pipelines. This will demonstrate your ability to tackle challenges head-on, which is crucial for the role.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, be ready to discuss your experience in collaboration. Share instances where you’ve successfully engaged stakeholders or worked alongside product and business teams to define requirements and strategies. This will highlight your teamwork skills and adaptability.
✨Stay Ahead of Trends
Familiarise yourself with the latest trends in AI and data engineering. Be prepared to discuss emerging technologies or methodologies that excite you. Showing that you’re proactive about learning and staying updated will impress interviewers and align with their focus on innovation.
