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

Technical Business Analyst- London, Edinburgh or Bristol
FDM Group —London
- Hybrid work
- Agile
- AI
- Annual leave
3d
Machine Learning Engineer
Datatonic —London
- Full-time
- Hybrid work
- Databases
- Presentation skills
- Machine learning
- Life insurance
Data Engineer
NICHE SKILLS LIMITED —Watford
- £39,000 - £40,000 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- SQL
Quick apply
Senior Machine Learning Engineer
Tesco UK —Welwyn Garden City
- Full-time
- Computer Science
- Engineering
- Machine learning
- Employee assistance programme
9h
Key Account Director
Neara —London
- £100,000 - £110,000 a year
- Full-time
- Hybrid work
- English
- Leadership
- Communication skills
Principal Machine Learning Engineer
London Stock Exchange Group —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
9d
AI - Solutions Architect
10Pearls —London
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Technical Architect - ML
Quantiphi —London
- Full-time
- Remote
- Master's degree
- AWS
- Machine learning
Technical Lead
QuantumLoopAI —London
- Full-time
- Remote
- Master's degree
- Machine learning
- AI
Quick apply
AI Engineer - London, UK
Capgemini —London
- Hybrid work
- Machine learning
- AI
- Leadership
Product Engineer
Allwyn Lottery Solutions —London
- Full-time
- Hybrid work
- APIs
- AI
- Communication skills
- Employee assistance programme
- Life insurance
Quick apply
AI Engineer - London, UK
Capgemini Sogeti —London
- Hybrid work
- Machine learning
- AI
- Leadership
AI Strategist, Generative AI Innovation Center
AWS EMEA SARL (UK Branch) —London
- Full-time
- Java
- AWS
- C++
Data Engineering Lead
SLR Consulting —London
- Full-time
- Hybrid work
- Mentoring
- Leadership
- Annual leave
- Life insurance
ASSURANCE MANAGED SERVICES SOLUTION PORTFOLIO DELIVERY MANAGER
EY —London
Applied AI ML Data Scientist, Vice President - Payments
JPMorganChase —London
- Full-time
- Master's degree
- AWS
- No degree
2h
Workday Finance Architect
Accenture —London
- Full-time
- English
- Bachelor's degree
- Travel
- Work from home
- Flexible schedule
Senior Manager - Technology, Vision, Strategy & Architecture (Financial Services – Banking)
Deloitte —London
- Hybrid work
- Business development
- Banking
- SDLC
8d
Machine Learning Engineer
Orbital —London
- Full-time
- Hybrid work
- Research
- Machine learning
- AI
UKI AI Director
Entain —London
- Full-time
- Hybrid work
- Public speaking
- AWS
- Machine learning

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Technical Business Analyst- London, Edinburgh or Bristol

FDM Group -
London

Apply Now

Job details

Fixed term contract
3 days ago

Benefits

Annual leave
Company pension

Qualifications

User stories
Requirement elicitation
Stakeholder liaison
Business analysis
Requirements gathering workshops
Agile
Fraud prevention and detection
Business requirements
AI

Full job description

About The Role

FDM is a global business and technology consultancy seeking a Technical Business Analyst to work for our client within the Financial Services sector. This is initially a 6-12 month contract with the potential to extend and will be a hybrid role that will be based in London, Edinburgh or Bristol.

Our client is seeking a Technical Business Analyst who bridges business, technology, cyber security, fraud operations, data and risk teams. The role translates strategic outcomes and operational needs into clear product, data, control and engineering requirements for the Fraud & Security Value Stream. The role supports the design, implementation and continuous improvement of AI-enabled capabilities that strengthen fraud detection, cyber defence, security observability, operational resilience and AI governance. It maintains alignment between business priorities, delivery outcomes, control obligations and technical implementation throughout the lifecycle of each initiative.

Responsibilities

Analyse and document business, operational, regulatory and technical requirements. Facilitate workshops. Translate outcomes into ADO epics, features, user stories and acceptance criteria. Maintain end-to-end traceability and support prioritisation
Identify and shape opportunities across threat detection, alert triage, investigation, case management, orchestration, fraud analytics, resilience and AI governance monitoring. Define workflows, business rules, exception handling, decision boundaries and human oversight.
Define data requirements, authoritative sources, ownership, lineage, quality, access and retention needs. Produce mappings, dictionaries and data-flow views. Work with data and engineering teams to confirm readiness.
Embed secure-by-design and responsible AI requirements. Document control, privacy, compliance, auditability, observability and governance-gate evidence. Support risk assessments and production-readiness reviews.
Partner with architects, product leads, engineers and platform teams. Support backlog refinement, dependency management, sprint planning, testing, release and operational readiness. Maintain assumptions, risks, issues and decisions.
Define baselines, outcomes and KPIs for fraud, cyber and operational use cases. Support benefits tracking, dashboards, post-implementation review and continuous improvement.

About You

At least five years of business analysis or technical business analysis experience.
Experience delivering technology-enabled transformation.
Experience translating complex business and control needs into technical requirements.
Experience working in Agile or iterative delivery environments.
Strong stakeholder management across business and technology teams.
Experience supporting testing, operational readiness and adoption.

Technical and Professional Skills

Requirements elicitation and traceability.
Process modelling and workshop facilitation.
Data analysis, data mapping and integration concepts.
API, cloud, analytics and security-monitoring concepts.
Agile backlog management and testing methods.
Risk, control and audit documentation.
Clear written and executive communication

Desirable Experience

Experience in cyber security, fraud, risk, operational resilience or financial services.
Experience delivering AI, machine learning, analytics or intelligent automation capabilities.
Experience with cloud and data platforms, preferably Microsoft Azure.
Knowledge of security operations, fraud operations, SIEM/XDR, case management or orchestration.
Knowledge of responsible AI and AI governance practices.

About Us

FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK ‘Best Employer’.

Diversity and Inclusion

FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Why join us

Career coaching, mentoring and access to upskilling throughout your entire FDM career
Assignments with global companies and opportunities to work abroad
Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field
Annual leave and work-place pension

Apply Now

Refine Your Search

machine learning operations architect jobs in ilford, gtl

Technical Business Analyst- London, Edinburgh or Bristol

Machine Learning Engineer

Data Engineer

Senior Machine Learning Engineer

Key Account Director

Principal Machine Learning Engineer

AI - Solutions Architect

Technical Architect - ML

Technical Lead

AI Engineer - London, UK

Product Engineer

AI Engineer - London, UK

AI Strategist, Generative AI Innovation Center

Data Engineering Lead

ASSURANCE MANAGED SERVICES SOLUTION PORTFOLIO DELIVERY MANAGER

Applied AI ML Data Scientist, Vice President - Payments

Workday Finance Architect

Senior Manager - Technology, Vision, Strategy & Architecture (Financial Services – Banking)

Machine Learning Engineer

UKI AI Director

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