Skip to main content

Language

Live marketplace snapshot

Updated on each visit

Employer-posted

Member profiles

GGanloss

Proof-first AI hiring for LLM and ML teams — 447 open roles, 0 member profiles, hiring across 43 countries.

Find jobs Find talent Post jobs

Registered office

1 Place des Saisons
92400 Courbevoie
France

Language

Talent

For job seekers Open roles Create account Talent sign in

Employers

Employer hub Find talent Post a job Employer sign in

Product

Home How it works About the platform Hire AI talent AI jobs AI hiring toolkit AI interview templates LLM evaluation scorecards Machine learning hiring guide AI hiring guide Blog AI news AI schools

Discover

Search profiles Job collection hubs Talent collection hubs Skills & stack hubs Companies hiring AI Hiring comparisons AI schools by country Explore by stack (home)

Legal

Contact Privacy Terms

Newsletter

Occasional updates from Ganloss

Guides, product changes, and hiring signal—choose talent or employer emails (or both). Unsubscribe anytime.

Newsletter for talent

Product tips, new job board features, and AI career resources—occasional email, unsubscribe anytime.

Email for newsletter

I agree to receive occasional emails about Ganloss and accept the privacy policy.

© 2026 Ganloss — speed and clarity for AI hiring.

Contact Privacy Terms About the platform

Language

Language

AI role · Open offer

Lead ML Platform Engineer — core banking

Thought Machine

Full-time
Lead
ML platform
Hybrid
Quartermile One, 15 Lauriston Place, Edinburgh, Scotland EH3 9EN, United Kingdom · Hybrid
Edinburgh, United Kingdom
£95k–£125k + equity

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

4 skills2 tools

Apply now Find matching talent

Share this role

At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: Quartermile One, 15 Lauriston Place, Edinburgh, Scotland EH3 9EN, United Kingdom · Hybrid
Compensation: £95k–£125k + equity
Experience level: Lead
Team: ML platform
Benefits & perks: Equity, Edinburgh hub, flexible hybrid.
How to apply: Model registry, feature store, or batch inference platform you owned.
Company site: www.thoughtmachine.net
Listed: Jul 16, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

Thought Machine is hiring a Lead Lead ML Platform Engineer — core banking on the ML platform team (Hybrid · Edinburgh, United Kingdom). This is a hands-on role in risk & decision ML—not a generic “AI enthusiast” post.

You will own real-time scoring, monitoring, and governance end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Thought Machine builds Vault — cloud-native core banking used by Lloyds, Standard Chartered, and other tier-1 banks.

Lead ML Platform Engineer (Edinburgh): feature stores, model registry, and batch inference for fraud, credit, and personalisation use cases inside regulated environments.

Hybrid Edinburgh Quartermile campus with occasional London stakeholder meetings.

What you will do

Own ML platform primitives: training pipelines, deployment gates, and observability.
Partner with bank customers on VPC/on-prem deployment patterns.
Define standards for model documentation, bias testing, and rollback.
Mentor ML engineers embedding models into Vault microservices.

Stack & environment

Python, Kubernetes, AWS, PostgreSQL, Docker.
Hybrid Edinburgh with flexible remote days.

What we look for

Lead experience on ML platform or MLOps teams.
Financial services or other regulated industry background preferred.
Strong ownership of SLAs and incident response.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
Kubernetes
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
AWS
Cloud primitives for training, storage, IAM, and cost-aware risk & decision ML deployments.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.
PostgreSQLTool
Regular use of PostgreSQL in the risk & decision ML stack—configuration, debugging, and team conventions.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Model registry, feature store, or batch inference platform you owned.
Several of these show up in recent shipped work—not only on your CV: Python, Kubernetes, AWS, SQL, and Docker.
You have led risk & decision ML initiatives across teams—setting technical direction, review standards, and rollout plans others could follow.
You are comfortable with the hybrid rhythm (Hybrid · Edinburgh, United Kingdom)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: £95k–£125k + equity, benefits in At a glance) and your expectations align.

Apply

Candidate accounts only: add your headline and bio on My account, and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Model registry, feature store, or batch inference platform you owned.

Sign in with a candidate account to apply

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

Sign in Create candidate account

Suggested

AI talent you may also like

Profiles ranked by overlap with this role's skills and tools—handy if you're hiring for a team or comparing backup candidates.

No close matches in the directory yet—try Find talent with your own filters.

Similar open roles

Other listings that share skills or tools with this one—useful if you want comparable stacks or backup options.

Senior ML Platform Engineer — Remote (US)
Snowflake
Full-time
Senior
AI platform
Remote
Remote · United States
Remote, United States
$165k–$220k + equity
Lead MLOps Engineer — inference platform
Monzo
Full-time
Lead
ML platform
Hybrid
Broadwalk House, London, England N1 7BT, United Kingdom · Hybrid
London, United Kingdom
£95k–£125k + equity
Senior ML Platform Engineer
Cascadia Inference Co
Full-time
Senior
ML platform
Hybrid
Seattle, WA, United States · Hybrid
Seattle, United States
$175k–$220k + equity
Lead MLOps Engineer — GPU serving & FinOps
Northern Spark Systems
Freelance
Full-time
Lead
ML platform
Hybrid
Manchester, England, United Kingdom · Hybrid
Manchester, United Kingdom
£85k–£110k
Lead MLOps Engineer — GPU clusters & vLLM
Paris · 1000-2000 employees · Scale-up · GenAI: Partial
Freelance
Full-time
Lead
ML platform
Hybrid
Amsterdam, Netherlands · Hybrid
€95k–€125k or competitive day-rate path

Browse all open roles →

All open roles·For job seekers

Employer

Thought Machine

Marketplace

Posted on Ganloss

6

Browse jobs →

Member profiles

0

Find AI talent →

Early community—real member accounts with proof-first profiles, not demo seed listings.

This role

Title

Lead ML Platform Engineer — core banking

Why Ganloss?

Built for teams hiring people who work with AI, not only around it.

Candidates see skills and tools upfront; you get structured applications in one dashboard.

List your role

Reach AI practitioners browsing open roles with proof-first expectations.

Market index

Home
Open roles
Lead ML Platform Engineer — core banking

Language

Listed Jun 12, 2026Updated Aug 3, 2026

Snowflake's AI layer brings models and apps to enterprise data without movement. US-remote friendly teams build training and inference paths on Snowflake.Senior ML Platform Engineer (Remote, US): feature pipelines, model registry, and cost-aware batch inference for customers.What you will doShip…

Perks · Remote-first US, equity, home office stipend.

PythonSQLAWS

ToolsDockerKubernetes

View role

Listed May 28, 2026Updated Aug 3, 2026

Monzo is a digital bank built in the cloud with ML across risk, marketing, and operations. Platform reliability and explainability matter as much as model quality.Hire: Lead MLOps Engineer (London hybrid) for feature stores, batch/real-time inference, and GPU cost governance.What you will doShip…

Perks · Flexible leave, learning stipend, hybrid.

PythonKubernetesAWSDocker

ToolsPostgreSQL

View role

Listed May 20, 2026Updated Aug 3, 2026

Cascadia Inference Co powers batch and realtime ML for SaaS analytics products used by Fortune 500 teams. Our platform blends Spark/Ray workloads with GPU bursts and humane FinOps dashboards.Hiring a Senior ML Platform Engineer in Seattle (hybrid) to deepen training orchestration and feature…

Perks · Relocation, wellness.

PythonKubernetesAWSDocker

ToolsPostgreSQL

View role

Listed May 12, 2026Updated Aug 3, 2026

Northern Spark Systems operates ML infrastructure for tier-1 UK retail and logistics partners. We optimise GPU utilisation, predictable rollouts, and cost visibility so data science teams ship without fire drills.We are looking for a Lead MLOps Engineer in Manchester (hybrid). You will set…

Perks · Flexible hours, conference budget.

PythonKubernetesAWSDocker

ToolsPostgreSQL

View role

Enterprise AI

Listed May 6, 2026Updated Aug 3, 2026

Our Amsterdam-based ML platform team owns GPU pools, model registry, and predictable rollouts for dozens of internal teams. You will set technical direction as we expand multi-cloud options.Hybrid role with flexible EU remote weeks; on-call rotation is shared and compensated.What you will doOwn…

Perks · NS business card, home office, mental health coverage.

PythonKubernetesAWSDocker

ToolsPostgreSQL

View role

Senior ML Platform Engineer — Remote (US) — Snowflake

Market index

Lead MLOps Engineer — inference platform — Monzo

Market index

Senior ML Platform Engineer — Cascadia Inference Co

Market index

Lead MLOps Engineer — GPU serving & FinOps — Northern Spark Systems

Market index

Lead MLOps Engineer — GPU clusters & vLLM — Dataiku

Market index