Lead Engineer – Enterprise AI 

Elanco
Lower Basildon
2 months ago
Applications closed

Related Jobs

View all jobs

Lead Machine Learning Engineer (Agentic Infrastructure)

Lead Cyber Security Engineer

Machine Learning Engineer

Machine Learning Engineer

Senior Data Architect

Senior Artificial Intelligence Engineer

At Elanco (NYSE: ELAN) – it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets.
We’re driven by our vision of ‘Food and Companionship Enriching Life’ and our approach to sustainability – the Elanco Healthy Purpose™ – to advance the health of animals, people, the planet and our enterprise. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment.
We believe that diversity is the driving force behind innovation, creativity, and overall business success.
Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals’ lives better makes life better – join our team today! Location: UK, Hook (Hybrid) Team: Software Engineering & Platforms  Supervisor: IT Engineering Director  Career Progression: Engineering, Architecture, Analyst      Over the past 4 years Elanco IT has been on an incredibly exciting journey.
Separating from our parent company and standing up on our own gave us a once in a lifetime opportunity to build a modern technology stack free of the burden of large-scale technical debt.
We are now looking to take this one step further, leveraging newly established engineering capabilities to help Elanco deliver on customer needs faster than ever before.  This role is part of our new enterprise platform engineering team with a specific focus on generative AI capability and their implementation in Elanco.
This role will be working on the cutting edge of GenAI capability strategizing, build and supporting our own implementations in Elanco.
This is an incredibly exciting opportunity to not only work on cutting edge technology but to contribute to the continued growth of a new highly skilled engineering organisation.    To be successful in an engineering role in Elanco requires a highly motivated individual, with an innovative mindset and a willingness to drive tangible outcomes.
The individual must be able to articulate complex technical topics, collaborate with external partners and ensure quality delivery of the required solution.     Responsibilities:    Engineering  * Work with Principal Platform Engineer and Senior Product Owner to help drive direction of platform and automation capabilities including our internal technical products related to GenAI capabilities.  * Work with a diverse team on some of Elanco’s most exciting engineering initiatives helping drive secure, reliable, and efficient using the latest technology.  * Stay abreast of the latest AI research, trends, and technologies, and apply this knowledge to drive continuous improvement and innovation within the team.  * Look for continuous improvement opportunities in our core ecosystem identifying new ways to enhance application team and developer experience.  * Bring your expertise into a team of talented engineers and continually help shape where the team can help to better enable our secure, reliable, efficient vision.  * Follow the value mentality with opportunity to work across the engineering team helping to ‘walk in the shoes’ of application teams as well as operational engineering teams.  * Communicate progress, results, and insights to management and other stakeholders.  * Strong understanding of MLops principles and practices  Daily / Monthly Responsibilities  * Build and run responsibilities for GenAI ensuring robust support folding into standard incident processes as the products mature.  * Help work with distributed teams across the business on how to consume AI/ML capabilities.  * Hands on code, build, govern and maintain.  * Working as part of a scrum team, deliver high quality technical deliverables.  * Designing and building solutions to support the automation of manual IT and business processes.  * Continually modernise software development processes using Continuous Integration and Continuous Delivery (CI/CD) techniques to ensure efficient and high-quality delivery.  * Establish strong partnerships with key service integrators (vendors), helping to support the adoption of automation capabilities.  * Establish a strong partnership with our application health program and Information Security, helping to identify opportunities and mitigate risks.  * Coach and mentor junior engineers, members of our student program to help build a strong connected organisation.   * Supporting application teams, internal and external, helping to resolve barriers related to building, deployment, and utilisation of engineering products.    Basic Qualifications:   Must have experience in the following areas: * Minimum 2+ years of hands-on experience in Generative AI and LLMs.
An overall 8+ years of experience as Software Engineer.  * Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other AI/ML frameworks.  * Strong understanding of MLops principles and practices  * Ability to design and implement complex ML systems  * Strong understanding of neural networks, natural language processing (NLP), computer vision, and other AI domains.  * Experience with cloud platforms and AI tools (e.g., Google Cloud, Azure).  * Familiarity with natural language processing or AI technologies (e.g LLMs such as ChatGPT or BARD, Embeddings, Prompt Engineering)  * Experience with data pipelines and preferably processing of documents (e.g using Google Cloud Fusion/Azure Data Factory)  * Demonstrated success in deploying AI solutions in real-world applications.  * Work closely with product managers, data scientists, software engineers, and other stakeholders to integrate AI solutions into existing and new products.  * Stay abreast of the latest AI research, trends, and technologies, and apply this knowledge to drive continuous improvement and innovation within the team.  * Strong background in either Python/Typescript  * Operational experience taking internal products and ensuring they are well maintained, supported, and iterated upon.  * Experience working with technical and non-technical team members to encourage adoption of new versions of software or products.   * Working within a DevOps team including modern software development practices, covering Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC, etc.  * Familiarity working within an agile team.    Nice to Have:  Experience in some of the following areas: * Experience working with Cloud Native design patterns, with a preference towards Microsoft Azure / Google Cloud.  * Hands-on Technical experience with at least some of our core technologies (Terraform, Ansible, Packer).  * Working with cloud cognitive services (e.g Azure Cloud Vision or Google Vision AI)  *  Working with AI/Embeddings technologies (e.g Google Matching Engine, Azure AI Studio, Vertex AI)  * Experience working in/with an infrastructure team advantageous.   * Experience with modern application architecture methodologies (Service Orientated Architecture, API-Centric Design, Twelve-Factor App, FAIR, etc.).  * Experience supporting digital platforms, including Integrations, Release Management, Regression Testing, Integrations, Data Obfuscation, etc.  * Knowledge of Azure Data Factory/ GCP Cloud Data Fusion, Microsoft Azure Machine Learning or GCP Cloud ML Engine, Azure Data Lake, Azure Databricks or GCP Cloud Dataproc.  * Experience scaling an “API-Ecosystem”, designing, and implementing “API-First” integration patterns.  * Experience working with authentication and authorisation protocols/patterns.  * Experience with AI security, model evaluation, and safety.    Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.