Machine learning engineer Work, Jobs in Yateley, Ham (with Salaries)

Alert Management Analyst
ai Corporation —Old Woking
- £28,000 - £29,000 a year
- Weekend availability
- Hybrid work
- English
- Bachelor's degree
- In-person
- Work from home
- Life insurance
Quick apply
Continuous Improvement & Innovation Specialist
PerkinElmer —Seer Green
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Machine Learning Intern
Jenoptik AG —Farnborough
- Windows
- Machine learning
- Scripting
IAM Engineer (CyberArk)
CGI —Reading
- Full-time
- Microsoft Access
- Azure
- AWS
Quick apply
Solutions & Services Executive - Sports Vertical
Lenovo —Farnborough
- Full-time
- AWS
- AI
- Communication skills
- Free parking
- Life insurance
2d
MES Consultant
Infor —Farnborough
- Full-time
- Hybrid work
- Spanish
- English
- SQL
Data Engineer Intern
Quantyra Technologies —Hounslow West
- £36,509.86 - £97,823.26 a year
- Full-time
- Oracle
- Java
- SQL
Quick apply
6d
Marketing Executive
Apacor Ltd —Wokingham
- £40,000 a year
- Full-time
- Sales
- Laboratory experience
- Travel
- Annual leave
Quick apply
6d
AI Engineer
Devopster IT Consultants —Newbury
- £30,000 - £33,500 a year
- Full-time
- Hybrid work
- Azure
- AWS
- Machine learning
Quick apply
1d
Head of Service Desks - Reading, UK
ESP Global Services Limited —Reading
- £70,000 - £75,000 a year
- IT
- AI
- Leadership
Quick apply
Senior DevOps Engineer
CGI —Reading
- Full-time
- Azure
- DevOps
- AWS
Quick apply
Machine Learning Engineer
VodafoneThree —Newbury
- Full-time
- Hybrid work
- Azure
- Machine learning
- AI
- Employee discount
Quick apply
1d
Business Systems Developer
BlueKong Networks Limited —Theale
- From £40,000 a year
- Full-time
- Azure
- Microsoft Outlook
- Scripting
- Health & wellbeing programme
- Annual leave
Quick apply
14d
Application Support Analyst
Clinisys —Woking
- Hybrid work
- Customer service
- Organisational skills
- IT
12h
Lead Python Engineer
CGI —Leatherhead
- Full-time
- DevOps
- AWS
- Mentoring
Quick apply
Network Engineer
Visa Europe Limited —Basingstoke
- Weekend availability
- Azure
- Computer Science
- Engineering
1d
Learning Experience Designer
Epicor —Bracknell
- Full-time
- Bachelor's degree
- No degree
- AI
HR Director
Accent Catering Services Ltd —Staines-upon-Thames
- £95,000 a year
- Full-time
- Travel
- Human resources
- Organisational skills
- Free parking
- Employee assistance programme
Quick apply
Infrastructure Engineer
Larian Studios —Guildford
- Full-time
- Azure
- Windows
- AWS
IT Project Manager
Haana Tech —Uxbridge
- £52,000 a year
- Full-time
- Oracle
- PMP
- Master's degree
- Free parking
Quick apply
2d

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Alert Management Analyst

ai Corporation -
Old Woking

Quick apply

Job details

Permanent | Full-time
£28,000 - £29,000 a year

Benefits

Company pension
Work from home
Company events
Private medical insurance
Enhanced maternity leave
Enhanced paternity leave
Life insurance
Referral programme
Sick pay

Qualifications

English
Bachelor's degree
AI

Full job description

Overview
This exciting role is an opportunity for a motivated individual with both exceptional analytics skills and a passion for providing best in class expertise to customers. You will work with ai’s clients to play a key role in the identification of fraud to minimise fraud losses, both current and future. You will investigate and analyse client transaction activity and then escalate fraud patterns to senior stakeholders. This role will provide comprehensive exposure to the ‘FinTech’ industry and offers excellent progression opportunities within the business.

This role reports to the Managed Services Support Team Leader, as part of the Fraud and Compliance Team.

Due to the requirement to support Client business operating hours, this role involves shift work rotating between weekday shifts between 07:30 – 18:15, Monday to Friday, and one weekend morning shift (09:00 – 13:00) approximately once per month. There is an additional requirement to work weekend mornings on a monthly rota basis, with a subsequent day-off in lieu.

This is a hybrid role, with a requirement to be in our Woking office at least three days per week. As a collaborative and fast-moving team, we’ve found that in-person interaction plays a key role in successful onboarding, knowledge sharing, and team culture—so we welcome candidates who enjoy being in the office more regularly.

Responsibilities

Develop expertise on ai’s fraud prevention solutions and act as a subject-matter expert on identification of fraud within the business.
Investigate customer transactions that have been flagged as suspicious and escalate fraud concerns to senior client stakeholders.
Actively take part in fraud management discussions with clients to drive improvements in performance and ultimately reduce levels of financial crime.
Identify areas for product and service enhancements, and to champion these enhancements within the business.
Support the continuous improvement of fraud detection strategies and operational processes.
Maintain accurate records and documentation relating to investigations and escalations.
Any other duties reasonably required
Coordinate response efforts during emergencies, ensuring swift and effective action.
Lead incident investigations, documenting findings and recommending improvements.
Liaise with internal teams and external agencies during critical situations.
Develop and update emergency management protocols and procedures.
Conduct training sessions on alert response procedures, including first aid where applicable.
Maintain accurate records of alerts, responses, and outcomes for reporting purposes.
Support continuous improvement initiatives to enhance alert management processes.

Qualifications

Degree qualified or equivalent professional financial crime prevention qualification
Ability to assess information critically and make informed decisions.
High levels of integrity, professionalism, and tact.
Capable of explaining concepts, problems and solutions to a non-expert audience
Ability to prioritise tasks and meet deadlines
“Fintech” industry exposure preferred or understanding of the payments lifecycle
Preference for candidates who value and enjoy in-person collaboration
Hybrid Working Model: minimum 3 days per week in our Woking office

Pay: £28,000.00-£29,000.00 per year

Benefits:

Company events
Company pension
Enhanced maternity leave
Enhanced paternity leave
Life insurance
Private medical insurance
Referral programme
Sick pay
Work from home

Ability to commute/relocate:

Old Woking GU22 7NJ: reliably commute or plan to relocate before starting work (required)

Language:

English (required)

Work authorisation:

United Kingdom (required)

Work Location: Hybrid remote in Old Woking GU22 7NJ

Quick apply

Refine Your Search

machine learning engineer jobs in yateley, ham

Alert Management Analyst

Continuous Improvement & Innovation Specialist

Machine Learning Intern

IAM Engineer (CyberArk)

Solutions & Services Executive - Sports Vertical

MES Consultant

Data Engineer Intern

Marketing Executive

AI Engineer

Head of Service Desks - Reading, UK

Senior DevOps Engineer

Machine Learning Engineer

Business Systems Developer

Application Support Analyst

Lead Python Engineer

Network Engineer

Learning Experience Designer

HR Director

Infrastructure Engineer

IT Project Manager

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