Senior Generative AI Engineer

KPMG
Plymouth
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Artificial Intelligence Engineer

Head of Data Science

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

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.  

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.

How to Advertise AI Jobs and List AI Vacancies: Advanced Recruitment Strategies for 2025

In a landscape where artificial intelligence (AI) is rapidly transforming industries—from healthcare and finance to manufacturing and creative fields—employers are in stiff competition to secure the best AI talent. Whether you’re a start-up looking for your first machine learning engineer or a global enterprise planning an AI research lab, knowing how to advertise AI jobs effectively has never been more critical. Below, you’ll find in-depth strategies for crafting compelling AI job adverts, optimising your recruitment funnel, and showcasing your organisation as an employer of choice for top AI specialists. We’ll also explore the importance of salary transparency, the best channels for promoting your AI vacancies, and advanced techniques for nurturing a culture of innovation.

AI Training Jobs: Your Comprehensive Guide to Launching a High-Potential Career

Artificial Intelligence (AI) has evolved from a futuristic concept to a core component of modern business strategy. As organisations increasingly embrace AI-driven systems to stay competitive, the demand for qualified professionals who can develop, implement, and train AI models has skyrocketed. In the UK—and indeed worldwide—there is a pressing need for skilled experts who understand the nuances of AI, from algorithm design to ethical considerations. For anyone seeking to enter this exciting field or pivot into a role focusing on AI training, the opportunities are abundant. This in-depth blog post will explore everything you need to know about AI training jobs, the essential skills you’ll need, the current employment landscape in the UK, and how to future-proof your career in AI.

Rural-Remote AI Jobs: A Breath of Fresh Air in the UK Tech Scene

A New Horizon for AI Professionals For years, conversations around tech careers in the UK have hinged on a central theme: to succeed in artificial intelligence (AI), you must be in or around London (or other big metropolitan areas like Manchester, Bristol, or Edinburgh). But times are changing. Technological leaps and the rise of flexible working are paving the way for AI professionals to live and work well beyond the capital. From the rugged coastlines of Cornwall and Pembrokeshire to the rolling hills of the Yorkshire Dales, we’re witnessing an exciting trend of AI remote countryside roles that allow you to work at the forefront of tech innovation—all while enjoying the tranquillity of rural or seaside living. At ArtificialIntelligenceJobs.co.uk, we’re seeing a marked increase in job postings and applications for these sorts of positions. A growing segment of job seekers is actively searching for “tech jobs by the sea” or “AI remote countryside,” driven by a desire for better work-life balance, lower living costs, and a healthier lifestyle. And it’s not just employees who stand to benefit; employers eager to attract top-tier AI talent are discovering that offering remote or flexible roles widens their candidate pool and enhances diversity. If you’re enticed by the idea of logging off from a day of coding neural networks and taking a stroll along a coastal path—or stepping outside your converted barn in Northumberland to soak in some fresh country air—this article is for you. Below, we’ll explore the benefits and challenges of rural-remote AI jobs, the specific roles best suited for remote work, and how to position yourself for success in this rapidly evolving sector.