Unlock Your Future: Exciting Machine Learning Engineer Positions at Barclays in 2025!

Are you ready to take your career to the next level in the data-driven world of machine learning? Barclays is on the lookout for skilled Machine Learning Engineers to join their dynamic team in Pune, India. This is an incredible opportunity for talented individuals who are passionate about harnessing the power of data to drive innovation and make impactful decisions. With a focus on developing cutting-edge machine learning models and data analytics solutions, this role promises to be both challenging and rewarding. If you hold a bachelor’s degree in a relevant field and possess a strong proficiency in Python, then this could be the perfect chance for you to step into a role that is not only crucial to Barclays’ operations but also pivotal in shaping the future of finance. Read on to discover more about this exciting opportunity!

Key Job Details

• Company: Barclays
• Job Position: Machine Learning Engineer
• Location: Pune, India
• Employment Type: Full Time
• Salary Package: As per Company Standards
• Education Requirement: Bachelor’s degree or equivalent in relevant field
• Date Posted: September 1, 2025
• Reference Code: JR-0000062570

About the Role

The Machine Learning Engineer position at Barclays is a pivotal role within the Data & Analytics department. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning models that can analyze complex data sets and provide actionable insights. You will collaborate with various stakeholders to identify opportunities where data can add value, ensuring that the solutions you develop align with business objectives. Your expertise in Python and various data science concepts will allow you to build robust data pipelines and predictive models that can forecast future trends and identify potential risks. Additionally, you will engage in data wrangling, cleaning, and transformation processes, ensuring the integrity and quality of the data utilized for analysis. This role not only offers you a chance to work on exciting projects but also presents opportunities for personal and professional growth in a fast-evolving field.

Required Skills

• Proficiency in Python: You should be adept in Python, with the ability to quickly prototype and build UI components using frameworks such as Streamlit or React.
• Cloud Infrastructure Knowledge: Exposure to tools like AWS CloudFormation and Terraform is essential, alongside understanding cloud security best practices.
• Data Engineering Exposure: Familiarity with handling large volumes of data and concepts related to data engineering, particularly using Spark.
• Machine Learning Concepts: A solid grasp of the machine learning lifecycle, including exploratory data analysis, model evaluation, and deployment.
• Data Management Skills: Proficiency in SQL and experience with version control systems like Git are crucial.
• Generalization Techniques: Understanding various techniques such as ensemble methods and time series analysis for effective model building.

Responsibilities

• Data Processing: Identify, collect, and extract data from various sources to prepare for analysis.
• Model Development: Design and implement statistical and machine learning models to analyze data patterns and trends.
• Collaboration: Work closely with business stakeholders to uncover opportunities for leveraging data insights.
• Data Pipeline Maintenance: Develop and maintain efficient data pipelines for automated data acquisition and processing.
• Predictive Analysis: Create predictive models to forecast outcomes and identify potential risks and opportunities for the business.

Why Join Barclays?

Barclays is known for its commitment to fostering a culture of innovation and excellence. By joining the Barclays team, you will not only be part of a prestigious financial institution but also have access to a wealth of resources that promote professional growth. Employees benefit from continuous learning opportunities, a collaborative work environment, and a strong emphasis on work-life balance. Barclays values diversity and inclusion, creating a workplace where every voice is heard and respected. As a Machine Learning Engineer, you will be at the forefront of technological advancements, working on projects that have a significant impact on the financial industry. This is your chance to thrive in an environment that encourages creativity and forward-thinking.

Industry Trends and Value of the Position

The demand for machine learning professionals is skyrocketing as businesses increasingly rely on data-driven decision-making. In 2025, the importance of data analytics and machine learning will only continue to grow, making this position highly valuable. Companies are seeking individuals who can not only analyze data but also extract insights that can guide strategic initiatives. The role of a Machine Learning Engineer at Barclays places you in a prime position to influence the future of finance and technology. As you apply your skills in a real-world setting, you will contribute to innovative solutions that enhance customer experiences and drive business success.

How to Apply

If you are excited about the prospect of joining Barclays as a Machine Learning Engineer, don’t miss out on this opportunity! Take the next step in your career and apply today.

Apply Here