AI DATA Engineer

1 week ago

Bournemouth, Bournemouth, United Kingdom Adroit People Limited (UK) Full time £60,000 - £80,000 per year

Greetings Adroit People is currently hiring

Title: AI Data Engineer

Location: Bournemouth, UK

Work Mode: Onsite-5 days/week

Duration: FTE/FTC

Keywords: AI/ML, GEN AI, DATA Engineer, Python

Job Spec:


• AIML, Machine Learning & Data Science.


• Large Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation.


• Agentic AI, CoPilot, MCPs.


• AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means)


• Python (NLTK, NumPy, Scikit-learn, Pandas)

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.

The role will require proficiency in all aspects of AIML & Software Development including:


• Knowledge of AIML & Python is 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.

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