Senior ai/ml engineer Work, Jobs in Battersea, 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
5h
Senior AI Engineer
Xelix —London
- £80,000 - £90,000 a year
- Full-time
- Hybrid work
- System design
- Master's degree
- Machine learning
- Annual leave
- Employee discount
Quick apply
Senior AI Engineer - AI Transformation
Multiverse —London
- Full-time
- Hybrid work
- Product management
- APIs
- IT
- Gym membership
- Life insurance
Quick apply
Senior AI Engineer - Legal AI
9fin —London
- Full-time
- Hybrid work
- AWS
- AI
- Python
- Sick pay
Senior AI Engineer
Bluefish AI —London
- Remote
- Master's degree
- Analysis skills
- Machine learning
ML Infrastructure Engineer
White Circle —London
- £180,000 - £350,000 a year
- Full-time
- Hybrid work
- English
- Master's degree
- C++
- Relocation assistance
- Annual leave
5h
Senior AI Engineer
Reward Gateway —London
- £80,000 - £90,000 a year
- Full-time
- Hybrid work
- Master's degree
- AWS
- AI
Quick apply
2d
Senior AI/ML Engineer
Limbic —London
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Engineering
- Annual leave
AI Engineer, Senior Associate
Partners Capital —London
- Azure
- Computer Science
- Master's degree
- Life insurance
Senior Research Engineer
Decagon —London
- £200,000 - £300,000 a year
- Full-time
- AI
- Python
- Life insurance
AI Engineering Lead
Normal Computing Corporation —London
- £250,000 - £340,000 a year
- Full-time
- Hybrid work
- Mentoring
- AI
- Leadership
Senior AI Engineer (Remote)
Softblues —London
- Remote
- Azure
- English
- AWS
- Annual leave
- Flexible schedule
Multimodal ML Engineer
White Circle —London
- £120,000 - £250,000 a year
- Full-time
- Hybrid work
- APIs
- Relocation assistance
- Annual leave
5h
Senior Principal AI Engineer
Synapri —London
- £90,000 - £120,000 a year
- Hybrid work
- Azure
- AWS
- Presentation skills
Senior Principal AI Engineer
Expleo —London
- Azure
- AWS
- AI
Senior Machine Learning Engineer
Lunio —London
- £70,000 - £90,000 a year
- Full-time
- Hybrid work
- SQL
- AWS
- Machine learning
Senior AI Engineer
Zero100 —London
- Full-time
- Hybrid work
- Master's degree
- SQL
- AWS
- Life insurance
Quick apply
Applied AI Solution Engineer - Kearney Activate
Kearney —London
- Full-time
- Azure
- Master's degree
- SQL
Senior ML Engineer
Fractal Analytics —London
- Full-time
- System design
- Analysis skills
- Machine learning
AI Senior Principal Engineer
CBRE —London
- Full-time
- Master's degree
- SQL
- AWS

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ML Research Engineer

White Circle
London

Apply Now

Job details

Full-time
£120,000 - £250,000 a year
5 hours ago

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

senior ai/ml engineer jobs in battersea, gtl

ML Research Engineer

Senior AI Engineer

Senior AI Engineer - AI Transformation

Senior AI Engineer - Legal AI

Senior AI Engineer

ML Infrastructure Engineer

Senior AI Engineer

Senior AI/ML Engineer

AI Engineer, Senior Associate

Senior Research Engineer

AI Engineering Lead

Senior AI Engineer (Remote)

Multimodal ML Engineer

Senior Principal AI Engineer

Senior Principal AI Engineer

Senior Machine Learning Engineer

Senior AI Engineer

Applied AI Solution Engineer - Kearney Activate

Senior ML Engineer

AI Senior Principal Engineer

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