Research engineer Work, Jobs in Hampton, Gtl (with Salaries)

ML Research Engineer
White Circle —London
- £120,000 - £250,000 a year
- Full-time
- Hybrid work
- Analytics
- Relocation assistance
- Annual leave
Research Engineer, Algorithms
Normal Computing Corporation —London
- £300,000 - £400,000 a year
- Full-time
- Hybrid work
- Doctoral degree
KDB Engineer - Equities Research Technology
Millennium Management —London
- Computer networking
- Software development
- Linux
Graduate Applied Research Engineer
Xapien —London
- £30,000 - £40,000 a year
- Full-time
- Hybrid work
- Machine learning
- AI
- Communication skills
- Life insurance
Research Engineer (Evals)
White Circle —London
- £150,000 - £250,000 a year
- Full-time
- Hybrid work
- Research
- AI
- Python
- Relocation assistance
- Annual leave
Research Engineer, Domain Scaling
Normal Computing Corporation —London
- £250,000 - £340,000 a year
- Full-time
- Hybrid work
- Data analysis skills
- Machine learning
- AI
Research Engineer
G-Research —London
- Bar
- Annual leave
Higher Engineer / Scientist
NPL —Teddington
- Doctoral degree
- Laboratory experience
- Research
Research Crawling Engineer
Ant-Tech —London
- Remote
- Master's degree
Quick apply
2d
AI Research Engineer
Normal Computing Corporation —London
- £200,000 - £400,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Research
- Machine learning
3d
ML Research Engineer, Evaluation
Novogaia —London
- Full-time
- Machine learning
- Communication skills
- Analytics
Quick apply
2d
Lab Engineer
Diffractive Labs —London
- Full-time
- Laboratory experience
- Maintenance
- Scripting
Senior Research Engineer
Decagon —London
- £200,000 - £300,000 a year
- Full-time
- Machine learning
- AI
- Life insurance
Senior Acoustic Consultant (Scientist/Engineer)
RWDI —London
- £40,000 - £50,000 a year
- Full-time
- Microsoft Word
- Writing skills
- Bachelor's degree
Member of Technical Staff- Research Engineer (Harness Engineering and Agentic Orchestration)
Tessl —London
- Full-time
- Hybrid work
- Bar
- Doctoral degree
- Research
Principal Applied Research Engineer
Synthesia —London
- Full-time
- Remote
- Communication skills
Protection Scientist Engineer, Integrity
OpenAI —London
- £220,000 - £425,000 a year
- Full-time
- Machine learning
- Software development
Senior Research Engineer – Virtual Worlds & Simulation
SPAICE —London
- Full-time
- Remote
- AI
Applied Research Engineer - Post-Training
Helical —London
- Full-time
- Doctoral degree
- Master's degree
- Machine learning
Quick apply
Senior Applied Research Engineer - Video Team
Synthesia —London
- Full-time
- Hybrid work
- Research
- AWS
- Communication skills
- Annual leave

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ML Research Engineer

White Circle
London

Apply Now

Job details

Full-time
£120,000 - £250,000 a year

Benefits

Relocation assistance
Annual leave

Qualifications

Machine learning modelling
Natural language processing
Data pipeline
Debugging
Analytics

Full job description

TLDR: We are looking for several ML Engineers to train, post-train, and evaluate the LLMs at the core of our platform. This is hands-on modern model training work: large-scale data pipelines, SFT/RLHF/DPO-style alignment, reward models, distributed multi-GPU training, and evaluation.

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.

You will:

Turn petabytes of unstructured text into a structured, explorable view (topics, clusters, segments, trends, anomalies): iterate from “unknown unknowns” to stable definitions we can track.
Build scalable representation pipelines: sampling strategies, preprocessing/normalization, embeddings at scale, indexing, and retrieval to make the corpus searchable and analyzable.
Use LLMs pragmatically: labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of inbound volumes (with cost/quality controls).
Deliver insights that change decisions: translate findings into product and operational actions (what data we have, what’s missing, where quality breaks, what to prioritize next).
Ship self-serve analytics: datasets, data models, and lightweight tools/dashboards so the team can explore and answer questions without ad-hoc requests.
Partner closely with engineering/research: align pipelines with production constraints (latency/cost/privacy), and integrate outputs into workflows.

You'll fit right in if you:

Strong Python + SQL with an engineering mindset: you can build reliable pipelines, not just notebooks.
Solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them.
Comfortable at scale: distributed processing, large-scale storage-querying, and performance-cost tradeoffs.
You know how to evaluate fuzzy problems: offline/online metrics, human-in-the-loop labelling, inter-annotator agreement, drift monitoring, and reproducibility.
Have prior work with safety/moderation datasets, policy/rule systems, or high-volume logging/observability

A big plus:

A public builder footprint: open-source models, datasets, or training frameworks on HuggingFace/GitHub, benchmarks, papers (workshop or main conference), or technical posts with real usage
Experience training models at a frontier or near-frontier lab, or leading open-source model releases with documented adoption
Experience with RL methods for LLMs beyond standard RLHF: online RL, GRPO-style methods, or novel alignment approaches
Experience with moderation, safety, or classification models at scale
Multilingual model training experience

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 currently unable to provide relocation support and medical insurance for London-based roles)
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 Applied Research (60 min)
Final conversation with our CEO (45 min)

Please submit your application in English.

Compensation Range: $120K - $250K

Apply Now

Refine Your Search

research engineer jobs in hampton, gtl

ML Research Engineer

Research Engineer, Algorithms

KDB Engineer - Equities Research Technology

Graduate Applied Research Engineer

Research Engineer (Evals)

Research Engineer, Domain Scaling

Research Engineer

Higher Engineer / Scientist

Research Crawling Engineer

AI Research Engineer

ML Research Engineer, Evaluation

Lab Engineer

Senior Research Engineer

Senior Acoustic Consultant (Scientist/Engineer)

Member of Technical Staff- Research Engineer (Harness Engineering and Agentic Orchestration)

Principal Applied Research Engineer

Protection Scientist Engineer, Integrity

Senior Research Engineer – Virtual Worlds & Simulation

Applied Research Engineer - Post-Training

Senior Applied Research Engineer - Video Team

I want to receive the latest job alerts for research engineer in hampton, gtl

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