Machine learning operations architect Work, Jobs in Barking, Gtl (with Salaries)

Head of Risk
NEXT Ventures —London
- Full-time
- Hybrid work
- Bachelor's degree
- Machine learning
- AI
Quick apply
Principal Google Cloud Architect
Datatonic —London
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Analysis skills
- Life insurance
XVA - Lead Software Engineer
Citi —London
- Full-time
- Hybrid work
- Computer Science
- PMP
- Engineering
- Annual leave
- Employee assistance programme
Lead DevOps Engineer
London Stock Exchange Group —London
- Full-time
- DevOps
- AI
- Leadership
4d
Senior Data Platform Engineer
DraftKings —London
- Full-time
- AWS
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Senior Data Insights Consultant
Wunderman Thompson MAP —London
- Analysis skills
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- Mentoring
Client Partner
Datatonic —London
- Full-time
- Hybrid work
- Business development
Senior AI Platform Engineer
Funding Circle —London
- Full-time
- Hybrid work
- Master's degree
- Analysis skills
- Machine learning
Quick apply
Agentic / GenAI Consultant / Senior Consultant
Capgemini Sogeti —London
- Hybrid work
- Azure
- Master's degree
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Lead Software Engineer, VP
State Street —London
- Full-time
- Computer Science
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Principal Architect - Mission Critical Engineering (Digital Delivery & Asset Integration)
Vantage Data Centers UK Management Company Ltd —London
- Engineering
- Continuous improvement
- Travel
- Annual leave
Quick apply
Senior Data Insights Consultant
VML/WPP Enterprise Solutions —London
- Analysis skills
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Manager, AI Engineer, AI Scaling and Transformation, Engineering, AI & Data, Technology & Transformation
Deloitte —London
- Hybrid work
- Computer Science
- Machine learning
- No degree
10d
Azure DevOps Engineer
UBDS Group —London
- Full-time
- Hybrid work
- Azure
- Communication skills
Quick apply
Tech Lead - Data Engineering
Plentific —London
- Hybrid work
- Machine learning
- Analytics
- Employee assistance programme
- Life insurance
Quick apply
Global Banking & Markets - London - Associate / Vice President - Business Analyst
Goldman Sachs —London
- Full-time
- Computer Science
- Bachelor's degree
- Leadership
- Employee assistance programme
Vice President, Software Engineer (Private Markets Data)
BlackRock Investments —London
- Hybrid work
- Machine learning
- In-person
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- Work from home
20h
AI Solutions Engineer - Vice President - London
Goldman Sachs —London
- Full-time
- Computer Science
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- Master's degree
- Employee assistance programme
Manager, Research Engineering (Foundational Research)
Thomson Reuters —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Software Developer, Scaled Ops AI Acceleration Team
Meta —London
- Full-time
- Computer Science
- Engineering
- Master's degree

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Head of Risk

NEXT Ventures -
London

Quick apply

Job details

Full-time

Qualifications

Conduct risk analysis
Bachelor's degree
Machine learning
Risk management
Fraud prevention and detection
AI

Full job description

Who We Are

NEXT Ventures is where ambition takes shape and momentum becomes movement. As a global platform revolutionising access to performance-based capital, we empower the world’s most driven individuals to rise. Through our flagship brand, FundedNext, we empower dreamers to become doers, and potential to turn into performance. With 500+ driven minds across five countries, we power a global rhythm—220,000+ daily users from 170+ nations, each chasing greatness in their own way.

Your Role in Our Mission

As Head of Risk at FundedNext, you will own the most strategically important function in any prop trading firm: the discipline that protects platform integrity and stabilises the economics that fund every trader’s journey. You will report directly to the FundedNext CEO and become the senior owner of risk decisions across CFD and Futures — and the lead architect of risk infrastructure for the upcoming Crypto programme.

This is not a role where you inherit a fully-built function. You inherit ambition, complex data, and a team that needs senior leadership. Your first 90 days are a diagnostic. From that diagnosis, you build.

How You’ll Make an Impact

Stabilise the Book

Reduce payout ratio variance and bring discipline to the firm’s primary health metric across CFD and Futures. Translate trader behaviour data into product-rule decisions that protect long-term sustainability without throttling the trader experience.

Audit, Then Build

In your first 90 days, conduct an end-to-end gap analysis of our existing risk framework — surveillance tooling, policies, escalation paths, dealing operations integration. From that diagnostic, design and implement a risk operating model fit for FundedNext’s scale through 2028.

Lead Crypto Risk Readiness

Design risk policies, surveillance models, drawdown rules, and operational guardrails for the Crypto programme launching. Crypto carries different volatility, exposure, and abuse patterns than CFD or Futures — your work here defines whether we launch safely.

Hunt Fraud and Abuse

Strengthen detection and response to multi-account abuse, identity fraud, and toxic trading patterns. Partner with Engineering, Data, Compliance, and Customer Operations to build a defensible, scalable abuse-prevention capability.

Partner Across the Firm

Be the trusted risk voice in product design, dealing operations, engineering, compliance, and analytics. Influence — and where required, veto — decisions that materially shift FundedNext’s risk profile. You will report directly to the CEO and have the authority to escalate independently when material risk events demand it.

What You Bring

8–12 years of risk experience across prop trading, CFD brokerage, or multi-asset financial services.
Genuine multi-asset fluency — you understand CFD, Futures, and ideally Crypto economics, instruments, and abuse patterns.
A track record of building or rebuilding a risk function — frameworks, policies, surveillance tooling, team.
Hands-on credibility on B-book and dealing operations; you have personal exposure to payout ratio management at scale.
Strong cross-functional influence — you can hold your own with Product, Engineering, and Trading leaders.
Comfort with ambiguity — you can step into an under-defined function and bring clarity quickly.
Excellent communication — to traders, to your CEO, to your future board.

Your X-Factor

What sets the strongest candidates apart:

You have personal scar tissue from a payout-ratio crisis or major abuse incident — and you can talk about how you turned it around.
You speak the language of data and engineering well enough to design surveillance models with quants and ML engineers, even if you don’t write production code yourself.
You have led risk policy design for a new asset class launch — ideally Crypto.
You think about trader experience and risk economics in the same sentence — not as opposing forces.
You see AI and machine learning as the future of risk surveillance and bring opinions about how to deploy them responsibly.

Your Journey After Applying

Initial conversation with our Talent Acquisition team.
60 minutes interview with management team and HoD

Quick apply

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