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: Join a dynamic team focused on continuous improvement and innovation.
- Why this job: Use AI to tackle real-world challenges and drive transformation.
- Qualifications: Experience in data engineering, Python, SQL, and cloud platforms.
The predicted salary is between 60000 - 80000 € per year.
What if you could use AI to modernise systems most organisations still don’t know how to fix? 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
- As an AI Engineer, you’ll design, build and optimise data-driven and AI-enabled solutions that support business-critical platforms.
- You’ll 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.
Fancy a confidential chat? Let’s connect.
AI Engineer in London 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. With the opportunity to engage in high-impact AI and data transformation projects in a hybrid setting based in Northampton, employees are empowered to tackle real-world challenges while working alongside cross-functional teams in a forward-thinking atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, data pipelines, or any relevant work. This gives you a chance to demonstrate your expertise beyond just a CV—let your work speak for itself!
✨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 show your analytical skills and how you approach challenges.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer in London
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 Kafka. 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, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build scalable solutions. We love seeing practical examples of your skills in action.
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 get the best chance to showcase your talents. Plus, it’s super easy!
How to prepare for a job interview at Coba IT Consultants
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and data engineering. Be ready to discuss your experience with Python, SQL, and any tools like Spark or Airflow. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to building scalable data solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of real-world problems you've solved using AI. Think about specific projects where you designed and delivered high-quality solutions. This is your chance to demonstrate how you can contribute to modernising systems and driving innovation.
✨Collaboration is Key
Since you'll be working across various teams, highlight your experience in cross-functional collaboration. Share stories about how you’ve engaged with stakeholders to define requirements and develop solution strategies. They’ll want to know you can work well with others!
✨Stay Ahead of Trends
Familiarise yourself with the latest trends in AI and data engineering. Be prepared to discuss emerging technologies and how they could impact the industry. Showing that you’re proactive about learning will impress them and demonstrate your passion for the field.
