Test manager Work, Jobs in Inverkeithing, Fif (with Salaries)

Applied Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services
Amazon Development Centre (Scotland) Limited —Edinburgh
- Full-time
- Doctoral degree
- Computer Science
- English
Supplier Quality Assurance Manager
Leonardo UK Ltd —Edinburgh
- £70,000 - £80,000 a year
- Full-time
- Hybrid work
- Flexible schedule
- Referral programme
Automation Test Manager / Automation Architect – Playwright & AWS
Cognizant —Edinburgh
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
2d
UX Designer
Schuh —Livingston
- Full-time
- Communication skills
- HTML
- Employee assistance programme
- Employee discount
9d
UK Technical Manager
Proclad —Glenrothes
- Full-time
- Engineering
- Master's degree
- Presentation skills
- Life insurance
Development Team Lead
Dayshape —Edinburgh
- £67,000 - £80,000 a year
- Full-time
- Hybrid work
- Azure
- Management
- JavaScript
- Employee assistance programme
Quick apply
Senior Manager, Migration Workstream Lead/Project Manager – Investment Management & Wealth, Operations Industry & Domain Solutions, Technology & Transformation
Deloitte —Edinburgh
- Hybrid work
- Azure
- Mentoring
- Agile
Lead Project Manager
Leonardo UK Ltd —Edinburgh
- £70,000 - £80,000 a year
- Full-time
- Hybrid work
- PMP
- Engineering
- Project management
- Flexible schedule
- Referral programme
UK Technical Manager
Proclad Group —Glenrothes
- Full-time
- Engineering
- Master's degree
- Presentation skills
- Life insurance
Senior Incident Response Consultant
Quorum Cyber —Edinburgh
- Full-time
- Hybrid work
- Linux
- Communication skills
Quick apply
Lead Safety Engineer
Leonardo UK Ltd —Edinburgh
- £60,000 - £80,000 a year
- Full-time
- Hybrid work
- Engineering
- Bachelor's degree
- Travel
- Flexible schedule
- Referral programme
Analog Assistant Manager (f/m/d)
Renesas Electronics —Edinburgh
- Full-time
- Hybrid work
- Engineering
- English
- Project management
Quick apply
Software Development Engineer, Amazon Ads CreativeX
Amazon Development Centre (Scotland) Limited —Edinburgh
- Full-time
- Computer Science
- Java
- AWS
Lead Supportability Engineer
Leonardo UK Ltd —Edinburgh
- £59,400 - £75,000 a year
- Full-time
- Hybrid work
- Engineering
- Microsoft Office
- Mentoring
- Flexible schedule
- Referral programme
Assistant Manager Analog Engineering (f/m/d)
Renesas Electronics —Edinburgh
- Full-time
- Engineering
- English
- Project management
Quick apply
Service Design Lead (12 Month FTC/Secondment)
Lloyds Banking Group —Edinburgh
- £78,098 - £91,880 a year
- Full-time
- Hybrid work
- Leadership
- Communication skills
6d
IT Manager, Commercial Applications
Dexcom —Edinburgh
- Full-time
- Oracle
- Management
- Salesforce
13d
Lead Systems Engineer
Leonardo UK Ltd —Edinburgh
- £59,500 - £75,000 a year
- Full-time
- Hybrid work
- Engineering
- Data analysis skills
- System design
- Flexible schedule
- Referral programme
Senior Techno Functional Analyst EPM
Aberdeen —Edinburgh
- Full-time
- Hybrid work
- Oracle
- ERP systems
- SQL
- Annual leave
- Employee discount
Lead Software Developer
Computershare —Edinburgh
- Full-time
- Hybrid work
- SQL
- Work from home

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test manager jobs near inverkeithing, fif

Applied Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Amazon Development Centre (Scotland) Limited -
Edinburgh

Apply Now

Job details

Full-time

Qualifications

Data mining
Doctoral degree
Computer Science
English
Java
Statistical analysis
Analysis skills
C++
Machine learning
Software development
Python
SDLC

Full job description

DESCRIPTION

Do you want to make a real difference to real people's lives? Want to design and build fair and explainable systems which automate recruitment processes across Amazon? Come and be part of a team that develops new machine learning (ML) technologies, which help Amazon scale for its customers by recruiting diverse teams.

Join our Recommendations team within Intelligent Talent Acquisition (ITA) where you’ll build machine learning products that transform how job seekers find opportunities and recruiters discover talent. You’ll develop sophisticated recommendation systems powering both Amazon Jobs and internal hiring platforms, operating at global scale to match the right people with the right positions. Using techniques including representation learning, reinforcement learning, and probabilistic modeling, your work will directly improve efficiency for recruiters and help candidates find their ideal roles. This position offers the chance to solve complex problems with significant impact by creating systems that make Amazon’s entire hiring ecosystem more effective while collaborating with scientists across the organization.

Key job responsibilities

Design and implement machine learning models that power recommendation systems for job seekers and recruiters, ensuring high performance, scalability, and reliability at global scale. Our ideal candidate has a strong scientific foundation and experience of statistical analysis and model building and has a passion for fairness and explainability in ML systems.

Collaborate with engineers, scientists, and product managers to define requirements, create solutions, and deliver products that improve the hiring experience.

Participate in the full software development lifecycle including scoping, design, coding, testing, documentation, deployment, and maintenance of recommendation systems and ML models.

Solve complex ML problems using optimal data structures and algorithms, making thoughtful trade-offs between efficiency and maintainability.

Stay current with scientific literature and develop novel approaches that address business challenges in talent acquisition. You will have the opportunity to provide feedback on scientific work across the organization helping the entire Intelligent Talent Acquisition organization improve.

A day in the life
You might spend the morning reviewing a colleague’s code for a new recommendation algorithm feature, then collaborate with product managers to refine requirements for an upcoming enhancement. After lunch, you’ll dive into model development, analyzing performance metrics from recent A/B tests and implementing improvements to the job-seeker recommendation pipeline. Throughout the day, you’ll participate in scientific discussions with peers across the organization, providing valuable feedback while continuing to refine your expertise.

About the team
The Recommendations team is a hybrid group of software engineers and applied scientists located in Edinburgh. We build tools that match people to jobs and jobs to people, optimizing experiences for both recruiters and candidates. Our work directly impacts Amazon’s ability to find and hire exceptional talent globally. The team maintains a collaborative environment with regular knowledge sharing and mentorship opportunities. We work closely with our product teams to understand business needs and develop innovative scientific solutions that improve hiring outcomes across both industry and student requisitions worldwide.

BASIC QUALIFICATIONS

Experience in solving business problems through machine learning, data mining and statistical algorithms
Experience programming in Java, C++, Python or related language
Speak, write, and read fluently in English
Experience that includes strong analytical skills, attention to detail, and effective communication abilities

PREFERRED QUALIFICATIONS

PhD in computer science, machine learning, engineering, or related fields
Experience in designing experiments and statistical analysis of results
Experience in patents or publications at top-tier peer-reviewed conferences or journals

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Apply Now

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test manager jobs in inverkeithing, fif

Applied Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Supplier Quality Assurance Manager

Automation Test Manager / Automation Architect – Playwright & AWS

UX Designer

UK Technical Manager

Development Team Lead

Senior Manager, Migration Workstream Lead/Project Manager – Investment Management & Wealth, Operations Industry & Domain Solutions, Technology & Transformation

Lead Project Manager

UK Technical Manager

Senior Incident Response Consultant

Lead Safety Engineer

Analog Assistant Manager (f/m/d)

Software Development Engineer, Amazon Ads CreativeX

Lead Supportability Engineer

Assistant Manager Analog Engineering (f/m/d)

Service Design Lead (12 Month FTC/Secondment)

IT Manager, Commercial Applications

Lead Systems Engineer

Senior Techno Functional Analyst EPM

Lead Software Developer

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