National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Generative AI Engineer

KPMG
Plymouth
3 months ago
Applications closed

Related Jobs

View all jobs

Senior AI Engineer - Generative AI and Search - Artificial Intelligence | London, UK

Senior AI Engineer - Generative AI and Search - Artificial Intelligence

Machine Learning & AI Engineering Lead

Artificial Intelligence Engineer

Senior Data Scientist - Tax, Technology and Transformation...

Senior Data Scientist - Tax, Technology and Transformation

Job description

Senior Generative AI Engineer (C grade)
There has never been a been a better time to join the Data & AI team at KPMG. Our clients and communities we act in embrace the opportunities provided by AI, and are looking for help deploying GenAI in a fair, ethical and impactful way. The KPMG Data & AI team helps clients on theirAI transformation journeysby leveraging advanced analytical techniques and industrial-scale AI platforms. Our projects span industries such as Financial Services, Retail, Public Sector, Healthcare, Energy, and Utilities, with a focus on extracting data insights, building AI models, and delivering value through engaging, data-driven stories. Our approach is multi-disciplinary, so we are able to answer our clients’ most complex issues and have significant impact on their business results.

 

Role Overview:
KPMG UK is seeking aSeniorGenAI Engineerto join ourData & AI team. In this role, you will contribute to thedevelopmentanddeploymentofgenerative AI models, support client project delivery, and work collaboratively to drive impactful AI solutions. You will play an integral role in designing AI systems, managing teams, and ensuring that AI models are effectively integrated into client environments, all while adhering to data governance and security standards.

 

Key Responsibilities:

 

AI Solution Development:Contribute to the design, development, and implementation of generative AI models to address client business challenges.Collaborate with senior AI engineers and data scientists to build AI solutions that align with business goals.Participate in the creation of Proof of Concepts (PoCs), Minimal Viable Products (MVPs), and fully developed AI projects that drive business impact.Client Project Delivery & Team Management:Support the delivery of AI solutions for client projects, ensuring successful outcomes and timely execution.Manage and mentor a team of AI engineers and data scientists, providing guidance and support throughout the project lifecycle.Collaborate with cross-functional teams to gather client requirements, translate them into technical solutions, and ensure seamless implementation of AI models.Coding & Implementation:Develop and optimize generative AI models, ensuring high-quality code that meets production standards.Work with tools like TensorFlow, PyTorch, Databricks, and Snowflake to implement and deploy AI models in cloud environments.Ensure the integration of AI models into existing systems, managing version control and collaborating on continuous integration/continuous delivery (CI/CD) processes.Data Management & Integration:Work closely with data engineering teams to ensure smooth data flow, integration, and management for AI model development.Ensure AI models are well-integrated into existing data pipelines, with an emphasis on data quality and consistency.Adhere to best practices for data governance, security, and privacy, particularly in relation to sensitive client data.Business Development & Practice Building:Assist in identifying opportunities for AI solutions that meet client needs, supporting feasibility studies and the development of tailored data strategies.Contribute to business development efforts by supporting RFP responses, proposals, and client demos, highlighting the value of AI-driven solutions.Help expand KPMG's AI practice by bringing innovative ideas and solutions to clients and assisting in the growth of AI capabilities.Ethical and Secure AI deploymentEnsure AI models and data processing are compliant with KPMG’s data governance policies and industry regulations.Implement best practices in data privacy, security, and ethical AI, particularly when working with sensitive or regulated data.Contribute to the development of guidelines and frameworks for the secure handling of data in AI projects.

Qualifications & Experience:

 

Educational Background:We are keen to hear from people with the right skills and mindset. We think that this means you will likely have a degree in a related field (such as Computer Science, Statistics or a related field) – but that is not a must. If you have a degree in a different field, or no degree at all but significant professional experience in a related field, please consider applyingAdvanced certifications in AI/ML or course work are a bonus.

(We want to continue to build out our team with the best and brightest minds in the industry, and if you feel you can contribute to our strategic goals and our clients, we would love to hear from you)

Work Experience:5+ years of experience in AI/ML, with a focus on developing and deploying generative AI solutions.Proven experience working with Large Language Models (LLMs) like GPT, BERT, or similar technologies.Strong expertise in AI frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake.

 

 

Skills:Proficient in designing and coding generative AI models, including prompt engineering for LLMs like GPT and BERT.Strong understanding of AI/ML algorithms, model optimization, and deployment in scalable cloud environments.Experience with version control (e.g., Git), Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch.Excellent team collaboration, leadership, and communication skills, with the ability to manage and mentor junior team members.

 

Why KPMG?

Work with the most exciting clients: We help organisations across industries, from Financial Services, to Retailers, Public Sector and third sector. Both in the UK, and globally. Work on the most exciting projects: We help our clients solve their biggest problems. We spend time getting to know their organisations and we work in multi-disciplinary team developing complete solutions that drive impact. Spend time with brilliant, collaborative colleagues: We are often described as one of the most collaborative team clients (and colleagues) come across. Working for KPMG means that you will work alongside some of the most brilliant, and collegiate minds in the industry. Be part of a world leading innovator: KPMG Data & Technology regularly features as a leader or winner in the most prestigious analyst league tables. Get involved in some of the most innovative projects delivered collaboratively with our clients. Take charge of your career: With world leading training and development programmes, a culture of exploring your personal interest and opportunities across sectors, functions and areas of expertise, you will have ample opportunity to shape your career with KPMG. Feel a sense of achievement: Our approach to working with clients means that we make a real difference.  
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.