Lead Platform Engineer - Gen AI

Elanco
Hook
9 months ago
Applications closed

Related Jobs

View all jobs

Urgent: Staff Machine Learning Engineer

Head of Data Science & Applied AI

Lead Mobile Engineer

Lead MLOps Engineer

Lead Machine Learning Engineer (3 Days Left)

Principal Machine Learning Engineer, ADMET | Pharma/BioTech | Series A - Drug discovery B2B Platform | Fully Remote, EU | £ 700-1,200 per day, Outside IR35 | 6-12 months Contract Length

Responsibilities:

Engineering

Work with Principal Platform Engineer and Senior Product Ownerto 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.

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.

Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other AI/ML frameworks.

Strong understanding of neural networks, natural language processing (NLP), computer vision, and other AI domains.

Experience with cloud platforms and AI tools (, Google Cloud, Azure).

Familiarity with natural language processing or AI technologies ()

Experience with data pipelines and preferably processing of document)

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.

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 atleast some of our core technologies (Terraform, Ansible, Packer).

Working with cloud cognitive services ()

Working with AI/Embeddings technologies ()

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.

Other Information:Occasional travel may be required.

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.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.