Talent Acquisition Executive

UiPath; City of Westminster; On-site; GBP 90,000 - 130,000; Full time

Job summary

A leading automation software company is looking for a candidate to lead and scale a high-performing Applied Science organization. The successful applicant will focus on building a multi-disciplinary team, setting strategy, and driving the delivery of impactful Machine Learning systems. Ideal candidates should have a strong background in applied science or machine learning, alongside experience in managing teams. This role plays a crucial part in the company's mission to innovate and enhance operational efficiency.

Benefits

Flexible working arrangements

Diversity and inclusion initiatives

Professional development opportunities

Qualifications

• Strong background in applied science and machine learning.
• Experience building and leading teams.
• Ability to simplify complex topics for diverse audiences.

Responsibilities

• Lead a multi‑disciplinary team focused on core product lines.
• Drive strategy for quality and efficiency in ML systems.
• Implement rapid research‑to‑production cycles for model deployment.

Skills

Leadership

Machine Learning

Python

Communication

Curiosity

Education

PhD in relevant field

Tools

Python

PyTorch

Scikit-learn

Job description

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Machine Learning Engineer

• 10+ years in applied ML, including 4+ years leading multi-team organizations delivering production ML systems.
• Deep ML expertise, with strong foundations in math, statistics, and computer science.
• Proficiency in modern ML frameworks (PyTorch/TensorFlow/JAX) and distributed systems.
• Exceptional communication skills – able to simplify complex topics for executives and provide precise technical guidance to teams.
• Values: Kind, motivated, self-starting, and responsible.
• Nice To Have
• Experience in enterprise SaaS, automation, or developer platforms.
• Experience running large-scale evaluation and optimizing models.
• State‑of‑the‑art knowledge in one of the following: LLMs, NLP or Computer Vision, with publications, patents or OSS contributions in this space.

Physics Teacher – Horizon Teachers

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Lead & Scale a High‑Performing Applied Science Org – UiPath

The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category‑leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self‑propelled, generous, and genuine. People who love being part of a fast‑moving, fast‑thinking growth company. And people who care about each other, about UiPath, and about our larger purpose. Could that be you? Your mission: Lead and scale a high‑performing Applied Science org at the intersection of research and product‑setting strategy, raising the bar on scientific excellence, and shipping reliable, cost‑efficient ML systems that power UiPath – while diving into models when it matters and shaping roadmaps, talent, and cross‑functional execution.

• Org Scope: Build and lead a multi‑disciplinary team of applied scientists across core product lines (document understanding, UI automation, agents). Launch and scale UiPath's new London site.
• Stack: Python, PyTorch, numpy, scikit, LangGraph, and various agentic frameworks.
• Outcomes: Deliver quantifiable improvements in model quality, latency, cost efficiency, safety, and reliability through rapid research‑to‑production cycles.

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Maybe you don't tick all the boxes above – but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes and passion can't be learned.

Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office‑based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.

We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.

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