Research engineer Work, Jobs in Bushey, Hrt (with Salaries)

ML Research Engineer
White Circle —London
- £120,000 - £250,000 a year
- Full-time
- Hybrid work
- English
- SQL
- Python
- Relocation assistance
- Annual leave
Research Engineer, Algorithms
Normal Computing Corporation —London
- £300,000 - £400,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Machine learning
- Python
Research Engineer (Evals)
White Circle —London
- £150,000 - £250,000 a year
- Full-time
- Hybrid work
- English
- 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
AI Research Engineer
Normal Computing Corporation —London
- £200,000 - £400,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Research
- Machine learning
2d
Senior Acoustic Consultant (Scientist/Engineer)
RWDI —London
- £40,000 - £50,000 a year
- Full-time
- Microsoft Word
- Writing skills
- Bachelor's degree
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
R&D Engineer
Convatec —London
- Full-time
- Remote
- English
- Communication skills
- Time management
2d
Senior Applied Research Engineer - Video Team
Synthesia —London
- Full-time
- Hybrid work
- Research
- AWS
- Communication skills
- Annual leave
Staff Research Engineer - Interactive Avatars
Synthesia —London
- Full-time
- Remote
- Research
- Machine learning
- AI
- Annual leave
AI-Led Product Researcher & Designer
SS&C Technologies —London
- Full-time
- Hybrid work
- Data analysis skills
- Analysis skills
- Bachelor's degree
Controls Design Engineer, Controls Design Engineering
Amazon Data Services UK Limited —London
- Full-time
- Engineering
- Bachelor's degree
- Continuous improvement
Critical Infrastructure Electrical Engineer, Field Engineering, Field Engineering
Amazon Data Services UK Limited —Hemel Hempstead
- Full-time
- Hybrid work
- Engineering
- Bachelor's degree
- Electrical Engineering
Condition Monitoring System Development Engineer (KTP Associate)
Brunel University —London
- Up to £45,000 a year
- Full-time
- Doctoral degree
- Data analysis skills
- Master's degree
Associate Director – Laboratory Planning & Science Design
AECOM —London
- Full-time
- Hybrid work
- Laboratory experience
- Business development
- Mentoring
R&D Engineering Team Lead - ServiceNow (Global role)
Atos —London
- AI
Engineering Manager – Custom I/O
G-Research —London
- Bar
- Team management
- Communication skills
- Annual leave
Research Crawling Engineer
Ant-Tech —London
- Remote
- Master's degree
Quick apply
1d
ML Research Engineer, Evaluation
Novogaia —London
- Full-time
- Machine learning
- Communication skills
- Analytics
Quick apply
1d

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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

Multilingual
English
SQL
Natural language processing
Python

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 bushey, hrt

ML Research Engineer

Research Engineer, Algorithms

Research Engineer (Evals)

Research Engineer, Domain Scaling

AI Research Engineer

Senior Acoustic Consultant (Scientist/Engineer)

Senior Research Engineer – Virtual Worlds & Simulation

Applied Research Engineer - Post-Training

R&D Engineer

Senior Applied Research Engineer - Video Team

Staff Research Engineer - Interactive Avatars

AI-Led Product Researcher & Designer

Controls Design Engineer, Controls Design Engineering

Critical Infrastructure Electrical Engineer, Field Engineering, Field Engineering

Condition Monitoring System Development Engineer (KTP Associate)

Associate Director – Laboratory Planning & Science Design

R&D Engineering Team Lead - ServiceNow (Global role)

Engineering Manager – Custom I/O

Research Crawling Engineer

ML Research Engineer, Evaluation

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