Senior Machine Learning Engineer

Endava is seeking a Senior Machine Learning Engineer to lead the development and implementation of advanced machine learning solutions. This role involves designing, developing, and deploying ML algorithms and pipelines using frameworks like TensorFlow and PyTorch, adhering to MLOps best practices. The engineer will collaborate with cross-functional teams, optimize models, conduct research, and mentor junior engineers, contributing to the company's AI initiatives and driving innovation.

Must Have

• Lead development and implementation of ML solutions.
• Design, develop, and implement advanced ML algorithms and models.
• Design, develop, and deploy ML pipelines (TensorFlow, PyTorch).
• Apply MLOps best practices (CI/CD, versioning, monitoring, retraining).
• Lead end-to-end ML pipeline from data to deployment.
• Implement and monitor production ML models (MLflow, SageMaker, Vertex AI).
• Optimize ML models for performance and scalability.
• Conduct research on state-of-the-art ML techniques.
• Mentor junior ML engineers.
• Communicate complex technical concepts to stakeholders.
• Stay updated with ML and AI advancements.
• Develop and maintain ML documentation.
• Collaborate with data engineering for efficient data pipelines.
• Participate in code reviews and ensure best practices.
• Master's or Ph.D. in Computer Science, ML, or related field.
• 5+ years experience in machine learning.
• Advanced knowledge of ML algorithms (supervised, unsupervised, deep, reinforcement).
• Strong proficiency in Python.
• Expertise in deep learning frameworks (TensorFlow, PyTorch).
• Solid understanding of statistics, mathematics, data structures.
• Experience with big data technologies (Hadoop, Spark).
• Proven track record deploying ML models in production.
• Strong skills in data preprocessing, feature engineering, model evaluation.
• Familiarity with version control systems, preferably Git.
• Excellent problem-solving and communication skills.
• Experience leading projects and mentoring.

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

We are seeking a Senior Machine Learning Engineer to join our innovative team. In this role, you will lead the development and implementation of cutting-edge machine learning solutions that drive our company's AI initiatives forward.

• Design, develop, and implement advanced machine learning algorithms and models to solve complex business problems
• Design, develop, and deploy machine learning pipelines using frameworks such as TensorFlow, PyTorch
• Work with MLOps best practices (CI/CD, versioning, monitoring, retraining).
• Collaborate with cross-functional teams to identify and prioritize machine learning opportunities
• Lead the end-to-end machine learning pipeline, from data collection and preprocessing to model deployment and monitoring
• Implement and monitor ML models in production (using tools like MLflow, SageMaker, or Vertex AI).
• Optimize existing machine learning models for improved performance and scalability
• Conduct research on state-of-the-art machine learning techniques and evaluate their applicability to our projects
• Mentor junior ML engineers and contribute to the growth of the machine learning practice within the organization
• Communicate complex technical concepts to both technical and non-technical stakeholders
• Stay up-to-date with the latest advancements in machine learning and AI, and incorporate new techniques into our projects
• Develop and maintain comprehensive documentation for machine learning models, algorithms, and processes
• Collaborate with data engineering teams to design and implement efficient data pipelines for machine learning workflows
• Participate in code reviews and ensure adherence to best practices in software development and machine learning
• Contribute to the development of internal tools and frameworks to streamline machine learning processes

Qualifications

• Master's or Ph.D. in Computer Science, Machine Learning, or a related field
• 5+ years of experience in machine learning or a related field
• Advanced knowledge of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning
• Strong proficiency in Python, with experience in other programming languages such as R or Java
• Expertise in deep learning frameworks such as TensorFlow or PyTorch
• Solid understanding of statistical analysis, mathematics, and data structures
• Experience with big data technologies like Hadoop and Spark
• Proven track record of developing and deploying machine learning models in production environments
• Strong skills in data preprocessing, feature engineering, and model evaluation
• Familiarity with version control systems, preferably Git
• Excellent problem-solving skills and attention to detail
• Strong communication skills with the ability to explain complex concepts to both technical and non-technical audiences
• Experience leading projects and mentoring junior team members
• Keeps up-to-date with current trends and research in machine learning and AI

Additional Information

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.