# Machine Learning Engineer at PwC

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, build and evolve AI/LLM benchmar

- **Company:** PwC (https://jobs.trythestack.co/companies/pwc)
- **Location:** United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Machine Learning, Large Language Models, Python, Asynchronous Programming, Cloud Platforms, CI/CD, Docker, Statistics, Experimental Design, Data Engineering, Deep Learning, Data Modeling, Data Pipeline, Analytical Thinking, Artificial Intelligence, Big Data
- **Posted by employer:** 2026-06-23
- **Added to The Stack:** 2026-06-24
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://pwc.wd3.myworkdayjobs.com/CRM_Experienced_Careers_Site/job/Manchester---1-Hardman-Square/Machine-Learning-Engineer_710133WD (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/machine-learning-engineer-pwc

## About the role

Responsibilities:
- Design, build and evolve AI/LLM benchmarking and experimentation platforms to support client engagements.
- Define and run end‑to‑end benchmarking workflows: translate use cases into evaluation plans, run experiments, and produce insights.
- Implement scalable evaluation frameworks, metrics and automated pipelines for repeatable model comparison.
- Develop and maintain robust experimentation infrastructure (containers, CI/CD, cloud deployments) for reliable reproducibility.
- Produce clear, client‑ready reports and support technical demos and deep‑dive sessions with stakeholders.

Requirements:
- Hands‑on experience with ML/LLM experimentation and structured evaluation frameworks.
- Strong Python skills, including asynchronous programming and multithreading; emphasis on maintainable code.
- Experience deploying ML workloads to cloud platforms (Azure, AWS or GCP) and familiarity with CI/CD and containerisation (Docker/Podman).
- Solid understanding of statistics and experimental design and ability to translate results into actionable recommendations.
- Comfortable operating autonomously in fast‑moving workstreams and collaborating across research and delivery teams.
- Good communication skills for presenting technical findings to non‑technical stakeholders.

## Responsibilities

Develop and evolve AI benchmarking and experimentation platforms to evaluate emerging models for client engagements. Design end-to-end workflows and build scalable evaluation frameworks to drive evidence-based technical strategies.

## Requirements

Requires strong hands-on experience in ML/LLM experimentation and proficiency in Python, including asynchronous programming. Candidates must have experience deploying ML workloads to cloud platforms and a solid understanding of statistics and experimental design.

## FAQ

- **Is this Machine Learning Engineer role still open?** It was posted on 2026-06-23. Listings more than 30 days old may no longer be active, so check PwC's site before applying.
- **Does PwC offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on PwC's site.
- **Where is this role located?** The listing gives the location as United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Machine Learning, Large Language Models, Python, Asynchronous Programming, Cloud Platforms, CI/CD, Docker, Statistics, Experimental Design, Data Engineering, Deep Learning, Data Modeling, Data Pipeline, Analytical Thinking, Artificial Intelligence, Big Data.

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## Notes for agents

- Apply on the employer's page (https://pwc.wd3.myworkdayjobs.com/CRM_Experienced_Careers_Site/job/Manchester---1-Hardman-Square/Machine-Learning-Engineer_710133WD). The Stack does not take applications.
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