Power systems research engineer/scientist Work, Jobs in London, Eng (with Salaries)

Research Scientist/Engineer (Agentic Systems)
White Circle —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Research
- Relocation assistance
- Annual leave
Research Scientist (Applied LLMs), London
Isomorphic Labs —London
- Hybrid work
- Doctoral degree
- Computer Science
- Research
Quick apply
Research Engineer, Evals - Member of Technical Staff
Callosum —London
- £101,000 - £192,000 a year
- Full-time
- Research
- AI
- Communication skills
Quick apply
5d
Data Scientist – Agentic AI - Permanent UK
Satalia —London
- Remote
- Computer Science
- APIs
- AI
- Flexible schedule
Power Systems Research Engineer/Scientist
NPL —Teddington
- Doctoral degree
- Laboratory experience
- Research
Senior Research Scientist | Multimodal Systems
DeepL —London
- Full-time
- Hybrid work
- Research
Bioinformatics Scientist
Basecamp Research —London
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
- Life insurance
Quick apply
Talent Acquisition Sourcer (Contract)
MEDIDATA —London
- Research
- Recruiting
- AI
10d
Machine Learning Scientist II
Expedia —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Graduate Electrical Engineer (Building Services) - October 2026 Starts
AECOM —London
- Full-time
- Hybrid work
- Bachelor's degree
13d
Senior Research Scientist, Mathematical Foundations
Basecamp Research —London
- Full-time
- Research
- Maths
- AI
- Life insurance
Quick apply
Senior Scientist, R&D
Basecamp Research —London
- Full-time
- Mentoring
- Life insurance
Quick apply
3d
Senior Data Scientist - (Privacy & Security Controls)
Our Future Health —London
- From £80,000 a year
- Full-time
- Hybrid work
- Machine learning
- AI
- Communication skills
- Employee assistance programme
- Referral programme
Quick apply
Mercor Research Fellowship — APEX
Mercor —London
- £40,000 - £80,000 a year
- Temporary
- Engineering
- In-person
3d
Lead Data Scientist - Telematics
Zego —London
- Full-time
- Hybrid work
- Engineering
- Master's degree
- Bachelor's degree
Quick apply
Research Scientist Intern, Photorealistic Telepresence (PhD)
Meta —London
- Doctoral degree
- Computer Science
- Research
Genomics Data Operations Engineer
Genomics —London
- Full-time
- Hybrid work
- Bachelor's degree
- Quality control
- Communication skills
- Annual leave
Staff Machine Learning Scientist - Core ML
Depop —London
- Full-time
- Hybrid work
- Annual leave
- Employee assistance programme
Data Engineer
Medpace, Inc. —London
- Full-time
- Computer Science
- Databases
- Bachelor's degree
- Annual leave
- Work from home
Senior Staff Research Scientist | Voice
DeepL —London
- Full-time
- Machine learning
- Mentoring
- AI
12d

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Research Scientist/Engineer (Agentic Systems)

White Circle
London

Apply Now

Job details

Full-time

Benefits

Relocation assistance
Annual leave

Qualifications

Law
Doctoral degree
Computer Science
Science and research experience
Research
Master's degree
AI

Full job description

TLDR: We're looking for a research scientist to build autonomous, large-scale environments that push LLM agents (single and multi-agent) to failure, and study how they actually break.

About us

White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.

We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
We process over 100M+ API calls every month
We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model

We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.

About the team

White Circle's fundamental research team works on the science of how AI systems fail: where agents break, why misalignment and unsafe behaviours emerge, and how to catch them before they reach the real world. We build the evals, benchmarks, environments, and tooling that empirically study the most pressing AI safety concerns — some of which become the guardrails shipped in our products, and some of which become public writeups.

You will

Build adversarial environments for agents: complex, uncertain settings that sit on the boundary of agent capability and alignment, where failure is informative rather than trivial.
Build realistic multi-agent environments and instrument them so emergent breakdowns are observable — failures that arise from the agents themselves, not ones scripted from the outside.
Run experiments end to end, against external APIs and our own models, orchestrating many agents in parallel.
Catalogue concrete agent failure modes and build the tooling to surface them at scale.
Turn findings into internal models of agent behaviour and into public writeups.

You’ll fit right in if you:

Have built at least one non-trivial agent environment or automated research pipeline that ran end to end (single- or multi-agent), and can talk through what broke and why.
Strong software and AI engineering. Can independently orchestrate many agents and containers in parallel without that orchestration being the bottleneck.
A track record of empirical research in agents, red-teaming, or post-training where you defined the question, ran it, and drew a defensible conclusion.
A fast empirical iterator who is comfortable defining the question when there's no playbook: can take a fuzzy concern ("do these agents collude under pressure?") and turn it into a concrete, falsifiable experiment.
An AI power-user — fluent with frontier models and coding agents in your daily work.

A big plus:

Published research at A* venues on automated red-teaming, agentic environments, or post-training.
Experience building monitoring for model failures and anomalous behaviour.
Experience reproducing public benchmark results and finding where the original methodology is fragile or misleading.
An MSc or PhD in machine learning, computer science, cognitive science, computational neuroscience, physics, or a related quantitative field.
AI safety fellowship (MATS, ASTRA, Anthropic Fellows, etc.), or a comparable self-directed research record.

Why White Circle

Paid time off in line with your local regulations, no matter where you work from
Work from Paris (hybrid) with a relocation package available, or work from London (note: we are unable to provide relocation support or medical insurance for London-based roles)
Meaningful equity package
Comprehensive medical insurance for our France-based team
All the hardware, tools, and services you need
Covered subscriptions for AI agents and IDEs
Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez

How we hire

Introductory call with HR (25 min)
Take-home test task
Technical interview with Head of Fundamental Research (60 min)
Final conversation with our CEO (45 min)

Please submit your application in English.

Apply Now

Refine Your Search

power systems research engineer/scientist jobs in london, eng

Research Scientist/Engineer (Agentic Systems)

Research Scientist (Applied LLMs), London

Research Engineer, Evals - Member of Technical Staff

Data Scientist – Agentic AI - Permanent UK

Power Systems Research Engineer/Scientist

Senior Research Scientist | Multimodal Systems

Bioinformatics Scientist

Talent Acquisition Sourcer (Contract)

Machine Learning Scientist II

Graduate Electrical Engineer (Building Services) - October 2026 Starts

Senior Research Scientist, Mathematical Foundations

Senior Scientist, R&D

Senior Data Scientist - (Privacy & Security Controls)

Mercor Research Fellowship — APEX

Lead Data Scientist - Telematics

Research Scientist Intern, Photorealistic Telepresence (PhD)

Genomics Data Operations Engineer

Staff Machine Learning Scientist - Core ML

Data Engineer

Senior Staff Research Scientist | Voice

I want to receive the latest job alerts for power systems research engineer/scientist in london, eng

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