AI/ML Engineer

Capgemini
Burnham, United Kingdom
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Burnham, United Kingdom

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Continuous Integration
Data Cleansing
Information Engineering
Fraud Prevention and Detection
Python
Machine Learning
NumPy
TensorFlow
SQL Databases
Google Cloud Platform
Feature Engineering
PyTorch
Large Language Models
Generative AI
Pandas
Scikit Learn
XGBoost
Data Management
Machine Learning Operations

Job description

AI/ML Engineer / Senior Machine Learning Engineer Experience: 5-10 yearsClient Domain: Banking / Financial ServicesLocation: As per client requirement / Hybrid About the Job you are considering:We are hiring an experienced AI/ML Engineer to design, develop, and deploy scalable machine learning and Generative AI solutions for banking and financial services. The role involves building end-to-end ML pipelines, deploying models into production, and ensuring performance, reliability, and regulatory compliance. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role:Develop and deploy ML models for use cases like fraud detection, risk modeling, and customer analyticsBuild predictive, classification, clustering, and recommendation modelsPerform data preprocessing, feature engineering, and model evaluationDesign scalable ML pipelines and production-grade solutionsDevelop NLP and GenAI solutions (RAG, embeddings, LLM-based applications)Deploy models using APIs, containers, and cloud platformsMonitor model performance, drift, and reliabilityCollaborate with cross-functional teams and stakeholdersEnsure compliance with banking regulations and security standards Your Skills:Strong Python programmingExpertise in ML algorithms and statistical modelingHands-on experience with Scikit-learn, Pandas, NumPy, XGBoost/LightGBMExperience with TensorFlow / PyTorch / KerasSolid understanding of feature engineering, model tuning, and evaluation metricsExperience with SQL and data handlingKnowledge of MLOps (CI/CD, model deployment, monitoring)Experience deploying ML models in productionGood communication and problem-solving skills Good-to-Have SkillsExperience in banking domain (fraud detection, credit risk, AML, churn)Knowledge of Generative AI, LLMs, RAG, and prompt engineeringFamiliarity with vector databases (FAISS, Pinecone, etc.)Experience with LangChain, LlamaIndex, or similar frameworksExposure to cloud platforms (Azure, AWS, GCP)Understanding of data engineering and big data tools

Requirements

We are a Disability Confident Employer:Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Declare they have a disability, andMeet the minimum essential criteria for the role.Please opt in during the application process.

About the company

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.

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