Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and implement AIML solutions for test automation in a dynamic tech environment.
- Company: Join a globally recognised tech company driving digital transformation.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Other info: Collaborative Agile environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact in technology.
- Qualifications: Experience in AIML, Python, and a passion for software testing is essential.
The predicted salary is between 36000 - 60000 £ per year.
At Dabster, we specialize in connecting top talent with leading global companies. We are currently seeking a skilled and dedicated Data Engineer to join our client's team in Bournemouth, UK (Onsite).
Our client is a globally recognized technology company delivering IT services, consulting, and business solutions. They partner with leading organizations worldwide to drive digital transformation, leveraging innovation and deep industry expertise to solve complex business challenges.
Job Description:
- Large Language Models (GPT, Claude), Generative AI, Retrieval Augmented Generation.
- Agentic AI, CoPilot, MCPs.
- AIML Algorithms (Regression, Classification, Decision Trees, KNN, K‑Means).
- Candidates will be expected to work on developing & implementing AIML Solutions for Test Automation in the Securities Processing space.
- This will entail building AIML Solutions for Test Generation, Test Prioritization, Defect Triage/Reporting, Code Coverage, Framework Migration/Setup.
- The role requires experience in AIML (LLMs, Gen AI & Agentic AI) & Python.
Qualifications:
- Knowledge of AIML & Python is a must.
- Ability to develop and implement Generative AI & Retrieval Augmented Generation solutions focused on software testing.
- Experience with Large Language Models (GPT, Claude).
- Hands-on experience with GitHub Copilot.
- Must be a regular user of Agentic AI solutions and MCPs.
- Deployment experience with Docker & Kubernetes to deploy the AIML solutions is good to have.
- Front End experience in React to build front end for the AIML solutions is a plus.
- Hands-on experience with Python libraries like NLTK, NumPy, Scikit‑learn, Pandas.
- Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K‑Means) is preferred.
- Experience with building, training & finetuning AIML models is a plus.
- Bachelor’s degree in Computer Science or related field of study or equivalent relevant experience; demonstrated experience of Data Science & AIML with focus on quality assurance solutions.
- Lifecycle principles and quality assurance processes and methodologies.
- Experience with automated testing with good understanding of test automation frameworks.
- Good grasp of SQLs.
- Experience of working in an Agile environment, participating in sprint planning, backlog refinement, and retrospectives.
- Must have excellent verbal and written skills being able to communicate effectively on both a technical and business level.
How to Apply:
Apply by submitting your resume today, showcasing your relevant experience and passion for the position via LinkedIn Easy Apply or directly to james.a@dabster.net.
Seniority Level: Mid‑Senior level
Employment Type: Full‑time
Job Function: Information Technology
Industries: Technology, Information and Media
Data Engineer in Bournemouth employer: Dabster
Contact Detail:
Dabster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Bournemouth
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or tech conferences. The more you mingle, the better your chances of landing that Data Engineer role.
✨Show Off Your Skills
Create a portfolio showcasing your AIML projects and Python skills. Whether it's GitHub repos or personal projects, let your work speak for itself. This is your chance to shine!
✨Ace the Interview
Prepare for technical interviews by brushing up on AIML algorithms and Python libraries. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Apply Through Us
Don’t forget to apply through our website! We’re here to help you find the perfect fit, so make sure your application stands out and showcases your passion for the role.
We think you need these skills to ace Data Engineer in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with AIML, Python, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've implemented AIML solutions or worked with Large Language Models. This gives us a clear picture of your hands-on experience and problem-solving abilities.
Keep It Clear and Concise: When writing your application, be clear and concise. Use bullet points for easy reading and make sure to communicate your technical skills effectively. We appreciate straightforwardness!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Dabster
✨Know Your AIML Inside Out
Make sure you brush up on your knowledge of AIML algorithms and frameworks. Be ready to discuss your experience with Large Language Models like GPT and Claude, as well as your hands-on work with Python libraries such as NLTK and Scikit-learn. This will show that you're not just familiar with the concepts but have practical experience too.
✨Showcase Your Project Experience
Prepare to talk about specific projects where you've developed and implemented AIML solutions, especially in test automation. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and your ability to apply your knowledge in real-world scenarios.
✨Communicate Clearly and Confidently
Since the role requires excellent verbal and written communication skills, practice explaining complex technical concepts in simple terms. You might be asked to explain your thought process during a coding challenge or a project discussion, so clarity is key. Remember, they want to see how well you can communicate with both technical and non-technical stakeholders.
✨Familiarise Yourself with Agile Methodologies
As the job involves working in an Agile environment, be prepared to discuss your experience with Agile practices. Talk about your involvement in sprint planning, backlog refinement, and retrospectives. Showing that you understand Agile principles will give you an edge, as it demonstrates your ability to work collaboratively in a team setting.