Senior Machine Learning Engineer I

Posted Yesterday
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Farringdon, East Devon, Devon, England, GBR
In-Office
Senior level
Information Technology • Legal Tech • Analytics
The Role
Research, design, and deliver generative and agentic AI capabilities for IP analytics products. Build scalable, cost-efficient production services, AI evaluation frameworks, and reusable platform tools using Python, AWS, Terraform, and machine learning libraries. Contribute to cloud infrastructure, technical specifications, code reviews, Scrum ceremonies, and stakeholder collaboration while mentoring junior developers.
Summary Generated by Built In

Are you excited by the opportunity to shape the future of AI-powered intellectual property tools in a collaborative, flexible environment?


Join a dynamic team developing advanced AI solutions and analytics for impactful, global innovation projects.


About the team

At LexisNexis Intellectual Property Solutions, we bring clarity to innovation. Our products help the innovation community make better-informed decisions, work more productively, meet regulatory requirements and achieve stronger outcomes.


Every day, our work supports the development of technologies and processes that advance industries—and, ultimately, society. We are proud to serve the innovators whose ideas help shape a better future.

The AI Platform team builds the capabilities that power AI across LexisNexis IP’s flagship analytics products. We explore emerging AI technologies and turn them into intelligent, practical features for our customers, alongside reusable tools and services for our internal platform. You will join a team working with modern, cloud-native infrastructure and play a meaningful role in building LexisNexis IP’s AI future.


About the role

Our IP analytics platform brings together highly curated, enriched datasets; sophisticated analytical tools; streamlined workflows; and powerful visualisations. It enables essential IP activities including competitive intelligence, benchmarking and portfolio optimisation—all in one place.

As part of the AI Platform team, you will help research, design and deliver the AI capabilities behind these products. You will work across the full development lifecycle, from evaluating emerging technologies and designing agentic systems to building scalable, cost-efficient production services.


Responsibilities

  • Research and evaluate emerging AI technologies for use in customer-facing features.
  • Design and build agentic AI systems and AI-powered product capabilities.
  • Develop reusable frameworks for evaluating AI quality, safety and performance.
  • Build scalable, high-performance and cost-efficient services.
  • Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS.
  • Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters.
  • Mentor junior developers in engineering best practices, including test-driven development with pytest and idiomatic Python.
  • Write and review detailed technical specifications for moderately complex system components.
  • Participate actively in development processes, code reviews and Scrum ceremonies.
  • Collaborate closely with stakeholders across the organisation.

Requirements

  • Experience working with modern Python codebases.
  • Experience with AWS or a comparable cloud platform, including infrastructure-as-code practices.
  • A solid understanding of software engineering principles, techniques and delivery processes.
  • Experience with generative AI and agentic AI systems.
  • Strong interpersonal, communication and presentation skills, with the ability to engage varied audiences.
  • Experience with Azure Pipelines and Terraform is desirable, but not essential.

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 Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.


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® service

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.

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EEO Know Your Rights.

Skills Required

  • Experience working with modern Python codebases
  • Experience with AWS or a comparable cloud platform
  • Experience with infrastructure-as-code practices
  • Solid understanding of software engineering principles, techniques, and delivery processes
  • Experience with generative AI and agentic AI systems
  • Strong interpersonal, communication, and presentation skills
  • Experience with Azure Pipelines
  • Experience with Terraform

RELX Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.

  • Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
  • Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
  • Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.

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The Company
HQ: London
10,001 Employees
Year Founded: 1880

What We Do

RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.

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