CrawlJobs Logo
Barclays Logo Barclays · IT - Software Development

Genai + Ml Engineer

India, Bengaluru · Job Posted February 21, 2026
Apply Position
Job Link Share

Job Description

Join us as an AVP - GenAI + ML Engineer at Barclays, where you'll take part in the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. As a part of the team, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. You'll be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts and business stakeholders.

Job Responsibility

  • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
  • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
  • Development of processing and analysis algorithms fit for the intended data complexity and volumes
  • Collaboration with data scientist to build and deploy machine learning models
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function
  • Consult on complex issues
  • providing advice to People Leaders to support the resolution of escalated issues
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda
  • Take ownership for managing risk and strengthening controls in relation to the work done
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively
  • Communicate complex information
  • Influence or convince stakeholders to achieve outcomes

Requirements

  • Strong proficiency in Python around Agentic, GenAI and framework such as LangChain, LangGraph, CrewAI, Langfuse etc.
  • Hands-on experience with AWS ML ecosystem (Bedrock, SageMaker, Lambda, API Gateway)
  • Deep understanding of AI Agents, Agentic architecture, Generative AI, LLMs, NLP, and Conversational AI
  • Deep understanding of Prompt engineering and Prompt management, refining and optimizing prompts to enhance the outcomes of Large Language Models (LLMs)
  • Experience with Database technologies like SQL, NoSQL and vector databases (e.g., DynamoDB, PGVector, CromaDB, FAISS etc.)
  • Proficiency with developing solutions on cloud platform preferably AWS platform
  • Good Engineering experience with large-scale AI/ML systems
  • Bachelor’s degree in computer science, Information Technology or Engineering is required

Nice to have

  • Professional experience in financial services and technology firms
  • Knowledge of REST APIs, JSON/XML, CI/CD tools (Jenkins), and cloud-native architectures
  • Strong communication and stakeholder management skills
  • Ability to lead technical teams and mentor junior developers

What we offer

  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Wellness rooms
  • Gyms
  • Mental health support
  • Modern workspaces
  • Collaborative areas
  • State-of-the-art meeting rooms
  • On-site cafeterias
  • Fitness centers
  • Tech-equipped workstations
Barclays - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Genai + Ml Engineer

8 matching positions

Senior ML Engineer (GenAI, AWS)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...
Location
Location
Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • ML Fundamentals: supervised, unsupervised, and reinforcement learning
  • Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
  • ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
  • Deep Learning: CNNs, RNNs, Transformers
  • LLM Applications: Experience building production LLM-based applications
  • Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
  • RAG Systems: Experience building retrieval-augmented generation architectures
  • Vector Databases: Familiarity with embedding models and vector search
  • LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
  • Python: Advanced proficiency in Python for ML applications
Job Responsibility
Job Responsibility
  • Design and implement end-to-end ML solutions from experimentation to production
  • Build scalable ML pipelines and infrastructure
  • Optimize model performance, efficiency, and reliability
  • Write clean, maintainable, production-quality code
  • Conduct rigorous experimentation and model evaluation
  • Troubleshoot and resolve complex technical challenges
  • Mentor junior and mid-level ML engineers
  • Conduct code reviews and provide constructive feedback
  • Share knowledge through documentation, presentations, and workshops
  • Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)
What we offer
What we offer
  • Long-term B2B collaboration
  • Fully remote setup
  • A budget for your medical insurance
  • Paid sick leave, vacation, public holidays
  • Continuous learning support, including unlimited AWS certification sponsorship
  • Fulltime
Read More
Arrow Right

Avp - Genai + Ml Engineer

We are shaping the future of financial technology. Purpose of the role: To build...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
  • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
  • Development of processing and analysis algorithms fit for the intended data complexity and volumes
  • Collaboration with data scientist to build and deploy machine learning models
  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness
  • Lead a team performing complex tasks
  • Set objectives and coach employees
  • Identify ways to mitigate risk and developing new policies/procedures
  • Perform work that is closely related to that of other areas
  • Collaborate with other areas of work
Job Responsibility
Job Responsibility
  • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
  • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
  • Development of processing and analysis algorithms fit for the intended data complexity and volumes
  • Collaboration with data scientist to build and deploy machine learning models
What we offer
What we offer
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Access to wellness rooms, gyms and mental health support
  • Inclusive culture
  • Collaborative workspaces
  • Socialising, sports, community events, volunteering
  • Fulltime
Read More
Arrow Right

Senior ML Engineer (GenAI, AWS)

Location
Location
Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • ML Fundamentals: supervised, unsupervised, and reinforcement learning
  • Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
  • ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
  • Deep Learning: CNNs, RNNs, Transformers
  • LLM Applications: Experience building production LLM-based applications
  • Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
  • RAG Systems: Experience building retrieval-augmented generation architectures
  • Vector Databases: Familiarity with embedding models and vector search
  • LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
  • Python: Advanced proficiency in Python for ML applications
Job Responsibility
Job Responsibility
  • Design and implement end-to-end ML solutions from experimentation to production
  • Build scalable ML pipelines and infrastructure
  • Optimize model performance, efficiency, and reliability
  • Write clean, maintainable, production-quality code
  • Conduct rigorous experimentation and model evaluation
  • Troubleshoot and resolve complex technical challenges
  • Mentor junior and mid-level ML engineers
  • Conduct code reviews and provide constructive feedback
  • Share knowledge through documentation, presentations, and workshops
  • Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)
What we offer
What we offer
  • Long-term B2B collaboration
  • Fully remote setup
  • A budget for your medical insurance
  • Paid sick leave, vacation, public holidays
  • Continuous learning support, including unlimited AWS certification sponsorship
  • Fulltime
Read More
Arrow Right

Senior Ml Engineer (Genai, Aws)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...
Location
Location
Colombia , Medellín
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • ML Fundamentals: supervised, unsupervised, and reinforcement learning
  • Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
  • ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
  • Deep Learning: CNNs, RNNs, Transformers
  • LLM Applications: Experience building production LLM-based applications
  • Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
  • RAG Systems: Experience building retrieval-augmented generation architectures
  • Vector Databases: Familiarity with embedding models and vector search
  • LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
  • Python: Advanced proficiency in Python for ML applications
Job Responsibility
Job Responsibility
  • Design and implement end-to-end ML solutions from experimentation to production
  • Build scalable ML pipelines and infrastructure
  • Optimize model performance, efficiency, and reliability
  • Write clean, maintainable, production-quality code
  • Conduct rigorous experimentation and model evaluation
  • Troubleshoot and resolve complex technical challenges
  • Mentor junior and mid-level ML engineers
  • Conduct code reviews and provide constructive feedback
  • Share knowledge through documentation, presentations, and workshops
  • Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)
What we offer
What we offer
  • Long-term B2B collaboration
  • Fully remote setup
  • A budget for your medical insurance
  • Paid sick leave, vacation, public holidays
  • Continuous learning support, including unlimited AWS certification sponsorship
  • Fulltime
Read More
Arrow Right

Senior ML Engineer (GenAI, AWS)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...
Location
Location
Colombia , Medellín
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • ML Fundamentals: supervised, unsupervised, and reinforcement learning
  • Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
  • ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
  • Deep Learning: CNNs, RNNs, Transformers
  • LLM Applications: Experience building production LLM-based applications
  • Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
  • RAG Systems: Experience building retrieval-augmented generation architectures
  • Vector Databases: Familiarity with embedding models and vector search
  • LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
  • Python: Advanced proficiency in Python for ML applications
Job Responsibility
Job Responsibility
  • Design and implement end-to-end ML solutions from experimentation to production
  • Build scalable ML pipelines and infrastructure
  • Optimize model performance, efficiency, and reliability
  • Write clean, maintainable, production-quality code
  • Conduct rigorous experimentation and model evaluation
  • Troubleshoot and resolve complex technical challenges
  • Mentor junior and mid-level ML engineers
  • Conduct code reviews and provide constructive feedback
  • Share knowledge through documentation, presentations, and workshops
  • Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)
What we offer
What we offer
  • Long-term B2B collaboration
  • Fully remote setup
  • A budget for your medical insurance
  • Paid sick leave, vacation, public holidays
  • Continuous learning support, including unlimited AWS certification sponsorship
  • Fulltime
Read More
Arrow Right

Senior ML Engineer (GenAI)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...
Location
Location
Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • ML Fundamentals: supervised, unsupervised, and reinforcement learning
  • Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
  • ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
  • Deep Learning: CNNs, RNNs, Transformers
  • LLM Applications: Experience building production LLM-based applications
  • Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
  • RAG Systems: Experience building retrieval-augmented generation architectures
  • Vector Databases: Familiarity with embedding models and vector search
  • LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
  • Python: Advanced proficiency in Python for ML applications
Job Responsibility
Job Responsibility
  • Design and implement end-to-end ML solutions from experimentation to production
  • Build scalable ML pipelines and infrastructure
  • Optimize model performance, efficiency, and reliability
  • Write clean, maintainable, production-quality code
  • Conduct rigorous experimentation and model evaluation
  • Troubleshoot and resolve complex technical challenges
  • Mentor junior and mid-level ML engineers
  • Conduct code reviews and provide constructive feedback
  • Share knowledge through documentation, presentations, and workshops
  • Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)
What we offer
What we offer
  • Long-term B2B collaboration
  • Fully remote setup
  • A budget for your medical insurance
  • Paid sick leave, vacation, public holidays
  • Continuous learning support, including unlimited AWS certification sponsorship
Read More
Arrow Right

Staff ML Engineer - GenAI

We are looking for a highly motivated GenAI Engineer to join the Customer Obsess...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in building and owning Conversational GenAI models over multiple years, including strong understanding of product and operational metrics and what it takes to improve them
  • Bachelor's or Master's in Computer Science, Statistics, or a related field or Equivalent Experience in Conversational GenAI
  • Minimum 10+ years of experience in industry with a strong focus on machine learning and optimization
  • Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn
  • Solid understanding of statistical analysis and feature engineering techniques
  • Excellent communication and collaboration skills
  • Ability to work independently and take ownership of projects
  • Experience using SQL in a production environment
  • Experience in experimental design and analysis, exploratory data analysis, and statistical analysis
  • Experience with dashboarding and using data visualization tools
Job Responsibility
Job Responsibility
  • Design, develop, and productionize Conversational GenAI solutions in the field of customer support engineering spanning generative AI algorithms, agentic AI design at scale, NLP for query understanding and ranking responses, distillation techniques, etc.
  • Productionize and deploy these models for real-world applications in customer support
  • Design and analyze experiments using a combination of data analysis/statistical analysis to lead the team to a reasonable inference
  • Review code and designs of teammates, providing constructive feedback
  • Collaborate with cross-functional teams to brainstorm new solutions and iterate on the product
  • Technically lead the team, mentor and guide engineers
Read More
Arrow Right

GenAI ML Engineer

We are seeking a talented GenAI ML Engineer to develop and deploy cutting-edge g...
Location
Location
Canada , Toronto
Salary
Salary:
130000.00 USD / Year
realign-llc.com Logo
Realign
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Total Experience: 6-8 years
  • Generative AI Development Design and implement generative AI models for text, code, and multimodal applications
  • LLM Engineering Fine-tune, optimize, and deploy large language models (GPT, Claude, Llama, etc.)
  • Model Training Develop training pipelines for custom generative models and foundation model adaptation
  • Python Development Build robust ML applications, APIs, and services using Python and ML frameworks
  • Prompt Engineering Create and optimize prompts for various LLM applications and use cases
  • Model Evaluation Implement evaluation frameworks for generative AI model performance and safety
  • Production Deployment Deploy and monitor ML models in production environments with proper scaling
  • Research Innovation Stay current with latest GenAI research and implement state-of-the-art techniques
  • Data Pipeline Management Build data preprocessing and feature engineering pipelines for ML workflows
  • Fulltime
Read More
Arrow Right