Data Engineer

KPMG International Cooperative; Birmingham; On-site; GBP 75,000 - 100,000; Full time

Job summary

A leading consulting firm in the UK seeks an AI Transformation Lead to drive generative AI projects and mentor teams. Strong expertise in AI/ML and tools like TensorFlow and PyTorch is essential for this role. The successful candidate will collaborate with clients to address business challenges and ensure ethical AI deployment. Opportunities for professional development and working on impactful projects in a collaborative setting are part of the role.

Benefits

Training and development programs

Collaborative work environment

Opportunity to work on high-impact projects

Qualifications

• Degree in a related field or significant professional experience is considered.
• Strong background in AI/ML, particularly with generative AI solutions.
• Proven experience with foundational LLMs like GPT and BERT.

Responsibilities

• Drive large-scale generative AI transformation projects.
• Lead a team of AI engineers and data scientists.
• Collaborate with business teams to assess AI's potential and feasibility.

Skills

Generative AI model design

AI/ML algorithms

Cloud-native solutions

Problem-solving

Business development

Education

Degree in Computer Science or Statistics

Advanced certifications in AI/ML

Tools

TensorFlow

PyTorch

Git

Docker

Databricks

Job description

Key Responsibilities

• Lead AI Transformations: drive large‑scale generative AI transformation projects across the organisation and clients, ensuring seamless adoption of AI solutions that address critical business challenges.
• Provide AI thought leadership to business stakeholders, advising on AI strategy, roadmap, and the integration of generative AI technologies into business processes to drive value.
• Technical Leadership & Collaboration
• Lead a team of AI engineers and data scientists, mentoring junior team members and ensuring best practices in AI development and deployment are followed.
• Collaborate with cross‑functional teams to design and architect robust, scalable AI systems that integrate generative AI models into complex enterprise environments.
• Create proof of concept, deliver minimal viable products, or fully‑fledged projects, and deploy models into production.
• Business Development & Practice Building
• Work closely with business teams and clients to demonstrate the potential of AI and assess its feasibility for solving business challenges.
• Lead feasibility studies, develop data strategies, support RFP responses, and demo to prospective clients.
• Ethical & Secure AI Deployment
• Ensure compliance with KPMG's data governance policies and industry regulations regarding AI models and data processing.
• Implement best practices in data privacy, security, and ethical AI, particularly when handling sensitive data.
• Contribute to KPMG's body of knowledge in the deployment of fair and transparent AI models.
• Research & Innovation
• Stay up to date with the latest advancements in AI, ML, and LLMs, applying new methodologies to improve model performance.
• Conduct research into new AI use cases and innovate to enhance KPMG's offerings.
• Publish findings and contribute to internal documentation, presenting insights at industry conferences.

Qualifications

Educational Background

• We are keen to hear from people with the right skills and mindset. A degree in a related field (Computer Science, Statistics, or similar) is preferable but not mandatory. If you have a degree in another field, or no degree at all but significant professional experience, please consider applying.
• Advanced certifications in AI/ML, cloud computing, or data engineering are a bonus.

Work Experience

• Strong background in AI/ML, with expertise in developing and deploying generative AI solutions at scale.
• Proven experience with foundational LLMs such as GPT and BERT, and successfully driving AI transformation.
• Expertise in AI frameworks (TensorFlow, PyTorch, etc.), cloud‑native solutions, and tools like Databricks and Snowflake.
• Strong background in cloud services and scalable AI solutions in production environments.
• Experience managing a wide range of stakeholders in complex situations.

Skills

• Proficient in designing, coding, and optimizing generative AI models, including prompt engineering for LLMs like GPT and BERT.
• Deep understanding of AI/ML algorithms, model optimisation, and deploying scalable solutions in cloud environments.
• Experience with version control (Git), Linux, Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch.
• Strong problem‑solving, team collaboration, and communication skills.
• Business development experience (either in a commercial environment or through 'selling your ideas') – a plus.

Why KPMG?

• Work with the most exciting clients: we help organisations across industries, from Financial Services to Retail, 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, getting to know their organisations and working in multidisciplinary teams to develop complete, impactful solutions.
• Spend time with brilliant, collaborative colleagues: we are often described as one of the most collaborative teams and colleagues you will encounter, and you will work alongside some of the brightest 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, and you will get involved in cutting‑edge projects delivered collaboratively with our clients.
• Take charge of your career: with world‑leading training and development programmes, a culture of exploring personal interests, 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.