Are you a champion for continuous improvement?

Do you love collaborating with teams to solve complex technical problems?

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

About the Role

This position provides leadership, management, direction, and vision to software engineers and/or development employees including offshore contractors/consultants and interns needed to support, run, and change activities in the software development life cycle. The position works closely with development peers, product and project leaders/managers, and other in-house software developers as well as directs the successful completion and delivery of respective software components and any other related deliverables. The position is additionally expected to report progress to senior management. Additional responsibilities may include oversight of the department budget, identifying and supporting talent, and defining resource requirements and allocations

Key Responsibilities

Technical Leadership & Delivery

• Own the technical vision and roadmap for AI/ML capabilities across one or more product areas, ensuring scalability, reliability, and performance of ML systems in production.

• Lead design and implementation of end-to-end AI solutions using LLMs, RAG, agentic systems, MCP, and vector databases on AWS / Azure / GCP.

• Guide teams in building robust data and ML platforms, including data ingestion, feature engineering, experimentation, CI/CD for ML (MLOps), and observability.

• Review and contribute to high-impact code, architectures, and design documents; ensure adherence to engineering and architectural standards.

• Champion test-driven development, automated testing, and secure coding practices across services and ML pipelines.

JD-Machine Learning Mgr

• Oversee system and user acceptance testing cycles to ensure high-quality, reliable business solutions.

People & Team Management

• Manage, coach, and grow a high-performing team of software / ML / data / MLOps engineers, including offshore or partner resources where applicable.

• Drive performance management: set clear goals, provide ongoing feedback, conduct reviews, and support career development and upskilling in AI/ML technologies.

• Foster a culture of ownership, psychological safety, experimentation, and continuous improvement.

• Plan and allocate resources effectively across initiatives, balancing roadmap delivery, technical debt, and innovation.

Stakeholder & Partner Management

• Collaborate with product management and business stakeholders to define AI use cases, success metrics, and delivery plans.

• Serve as primary technical point of contact for external technology partners and vendors, including offshore teams and managed service providers.

• Communicate technical strategy, tradeoffs, and progress to senior leadership in a clear, outcome-oriented way.

• Work with operations, security, and compliance teams to ensure AI solutions meet regulatory, privacy, and ethical standards.

Governance, Standards & Strategy

• Define and enforce engineering best practices, coding standards, and architectural guardrails for AI/ML systems.

• Contribute to the evolution of enterprise data and AI architecture, ensuring alignment with broader technology strategy.

• Participate in budget planning and tracking for team headcount, tooling, and cloud / compute resources.

• Stay current with industry trends in generative AI, LLMs, vector search, and ML platforms; recommend pragmatic adoption paths.

Required Qualifications

• 10+ years of professional software development and/or data/ML engineering experience, including delivering production systems at scale.

JD-Machine Learning Mgr

• 2+ years of people management experience leading engineering or ML teams (hiring, coaching, performance management, and resource planning).

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; advanced degree (MSc/PhD) in ML/AI or related area preferred.

Technical Skills

• Deep expertise in modern AI/ML technologies, including:

• • Large Language Models (LLMs), retrieval-augmented generation (RAG), and agentic workflows.

  • Vector databases and similarity search.

  • Cloud platforms (AWS, Azure, or GCP) and cloud-native architectures (containers, Kubernetes, serverless).

• Strong proficiency in Python and ML engineering best practices (modular code, testing, packaging, CI/CD).

• Hands-on experience with ML frameworks and tools such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and orchestration/ML Ops tooling (e.g., Kubeflow, MLflow, SageMaker, Vertex AI, Databricks).

• Strong foundation in data modeling, SQL and NoSQL databases, and working with large, complex data sets.

• Proven experience designing and operating large-scale, distributed systems with high availability and observability.

• Experience leading or collaborating with offshore or partner teams, including managed services and staff augmentation models.

Core Competencies

• Strategic Thinking: Ability to translate business goals into an AI/ML roadmap and make sound trade-offs across scope, quality, and timelines.

• Execution & Delivery: Strong project planning, prioritization, and change-management skills across multiple initiatives and stakeholders.

• Problem Solving: Advanced skills in diagnosing complex technical and delivery issues and driving teams toward pragmatic solutions.

• Communication & Influence: Excellent written and verbal communication; able to explain complex technical concepts to non-technical stakeholders and senior executives.

• People Leadership: Demonstrated ability to build, motivate, and retain diverse technical teams and foster an inclusive, high-trust environment.

• Customer Focus: Passion for understanding end-user needs and using AI/ML to deliver measurable value.

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working for you:

"We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

•      Medical and Life Insurance: Coverage for Medical and life risk.

•      Long-Service Award: Recognition for loyalty and dedication.

•      Marriage and New Baby Gifts: Celebratory tokens for special life events.

•      Festivals and Birthday Gifts: Spreading joy on occasions that matter.

•      Annual Medical Check-up: Prioritizing employee well-being through regular health check-ups.

•      Flexible Benefits via CIIC Platform: Personalized benefits accessible through a user-friendly platform.

•      Paid Time Off: Annual Leave, Flex Family Care Leave, Birthday Leave, Marriage Leave, Compassionate Leave, Medical and Hospitalization Leave, Examination Leave Gazetted Public Holiday

•      Family Care leave (Maternity/Paternity Leave and Adoption Leave)"

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.