At a Glance
- Tasks: Join our AI Research team to develop and evaluate cutting-edge AI models.
- Company: PwC, a leader in technology and innovation.
- Benefits: Flexible working, private medical cover, and volunteering days.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Shape the future of AI while making a real impact on client projects.
- Qualifications: Experience in ML experimentation and proficiency in Python required.
The predicted salary is between 80000 - 100000 £ per year.
About the role
You’ll join our AI Research team as a Machine Learning Engineer – Senior Associate, helping to shape and evolve the model benchmarking and experimentation capabilities that underpin AI delivery across PwC and our clients. You’ll work within a highly collaborative applied research environment that values curiosity, technical rigour and practical problem solving. In this role, you'll develop frameworks and experimentation workflows used to evaluate emerging AI models, driving evidence‑based decisions for client engagements. We’re looking for someone who enjoys technical ownership, thrives in fast‑moving environments and is motivated by building scalable, secure AI research infrastructure.
What your days will look like
You’ll play a key role in building and evolving our AI benchmarking and experimentation platforms, enabling robust and repeatable model evaluation. Your work will directly influence AI model selection and technical strategy across PwC projects and client engagements.
Responsibilities
- Design and run end‑to‑end benchmarking workflows, from understanding client use cases, designing and running benchmarking strategies, and generating business‑ready insights.
- Build scalable evaluation frameworks, metrics and pipelines, combining hands‑on engineering with continuous review of academic literature to ensure our evaluation strategies reflect leading research and best practice.
- Develop, maintain and improve experimentation infrastructure, ensuring robustness and production‑grade engineering.
- Produce clear, client‑ready insights and support technical demos and deep dive sessions.
This role is for you if
- You have strong hands‑on experience in ML or LLM experimentation using structured evaluation frameworks.
- You are highly proficient in Python, including asynchronous programming, multithreading and writing maintainable code.
- You have experience deploying ML workloads to cloud platforms (Azure, AWS or GCP), with familiarity in CI/CD and containerisation (Docker/Podman).
- You have applied knowledge of statistics and experimental design and can translate findings into actionable recommendations.
- You are comfortable managing fast‑moving workstreams and operating autonomously.
- You are motivated by ownership and excited by the opportunity to shape AI research platforms that directly impact client engagements.
Benefits
No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
Travel Requirements
Up to 20%
Visa sponsorship Available for Work Visa Sponsorship: Yes
Government clearance No
Job Posting End Date March 12, 2026
Machine Learning Engineer in Manchester employer: SwiftCruit
PwC is an exceptional employer for Machine Learning Engineers, offering a dynamic and collaborative work environment that fosters innovation and technical excellence. With a strong emphasis on employee growth, you will have access to flexible working arrangements, comprehensive benefits including private medical cover, and opportunities to engage in meaningful projects that directly impact clients. Join us to be part of a forward-thinking team that values curiosity and empowers you to take ownership of your work while shaping the future of AI research.
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We think you need these skills to ace Machine Learning Engineer in Manchester
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