Research engineer Work, Jobs in Tulse Hill, Gtl (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
13d
AI-Led Product Researcher & Designer
SS&C Technologies —London
- Full-time
- Hybrid work
- Analysis skills
- Bachelor's degree
- AI
Research Engineer, Domain Scaling
Normal Computing Corporation —London
- £250,000 - £340,000 a year
- Full-time
- Hybrid work
- AI
Senior Research Engineer – Virtual Worlds & Simulation
SPAICE —London
- Full-time
- Remote
- C++
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
Senior AI Research Engineer
Adyen —London
- Machine learning
- AI
Staff Research Engineer - Interactive Avatars
Synthesia —London
- Full-time
- Remote
- Communication skills
- Python
- Annual leave
Senior Applied Research Engineer - Video Team
Synthesia —London
- Full-time
- Remote
- AWS
- Communication skills
- Python
- Annual leave
Applied AI Engineer - BPL
Barclays —London
- Hybrid work
- Azure
- AWS
- Machine learning
Audio R&D Engineer
elasticStage —Elstree
- £55,000 - £65,000 a year
- Full-time
- Hybrid work
- Engineering
- Master's degree
- C++
- Annual leave
- Work from home
Quick apply
R&D Engineering Team Lead - ServiceNow (Global role)
Atos —London
- Sales
- AI
Controls Design Engineer, Controls Design Engineering
Amazon Data Services UK Limited —London
- Full-time
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
Design Researcher (12 Month FTC)
Lloyds Banking Group —London
- £72,702 - £80,780 a year
- Full-time
- Hybrid work
8d
Platform Engineer - Developer Tooling & AI Workflows
Viridien —Crawley
- Full-time
- Master's degree
- AI
- Leadership
- Annual leave
Engineering Manager – Realtime Quant Frameworks
G-Research —London
- Bar
- Communication skills
- Python
- Annual leave
Associate Director – Laboratory Planning & Science Design
AECOM —London
- Full-time
- Hybrid work
- Laboratory experience
- Business development
- Mentoring
12d
PRODUCT DEVELOPMENT ENGINEERING
Laing O'Rourke —Dartford
- Analysis skills
- IT
11d
Engineering Manager – Custom I/O
G-Research —London
- Bar
- Communication skills
- Annual leave
Design Lead - Research & Experience Strategy (12 Month FTC)
Lloyds Banking Group —London
- £92,701 - £109,060 a year
- Full-time
- Hybrid work
- AI
- Leadership
- Communication skills
4d

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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 tulse hill, gtl

ML Research Engineer

Research Engineer, Algorithms

AI-Led Product Researcher & Designer

Research Engineer, Domain Scaling

Senior Research Engineer – Virtual Worlds & Simulation

Condition Monitoring System Development Engineer (KTP Associate)

Senior AI Research Engineer

Staff Research Engineer - Interactive Avatars

Senior Applied Research Engineer - Video Team

Applied AI Engineer - BPL

Audio R&D Engineer

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

Controls Design Engineer, Controls Design Engineering

Design Researcher (12 Month FTC)

Platform Engineer - Developer Tooling & AI Workflows

Engineering Manager – Realtime Quant Frameworks

Associate Director – Laboratory Planning & Science Design

PRODUCT DEVELOPMENT ENGINEERING

Engineering Manager – Custom I/O

Design Lead - Research & Experience Strategy (12 Month FTC)

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

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