Stack developer Work, Jobs in Penn, Bkm (with Salaries)

Software Engineer, AI/ML, PhD, Early Career
Google —London
- Doctoral degree
- Software development
- AI
Senior Developer (Python)
Allwyn UK —Watford
- Analysis skills
- Scripting
- Annual leave
- Employee assistance programme
Principal Platform Engineer || Agentic AI || Internal Developer Platform (IDP)
IFS —Staines-upon-Thames
- Full-time
- Hybrid work
- AI
Quick apply
Head of Cloud (Azure)
Cazoo —Richmond
- Full-time
- Hybrid work
- Azure
- Mentoring
- Employee discount
- Referral programme
Senior Software Engineer, Dependency Tracing
Google —London
- Bachelor's degree
- No degree
- Software development
8h
Software Engineer, TPU Compiler, PhD, Early Careers
Google —London
- Doctoral degree
- AI
Security Tester (9 Month FTC)
Allwyn UK —Watford
- Hybrid work
- Scripting
- Annual leave
- Employee assistance programme
Quick apply
Enterprise Account Executive
RudderStack —London
- Full-time
- Remote
- Leadership
Quick apply
Business Engineer
Meta —London
- Computer Science
- Engineering
- Bachelor's degree
Senior Engineer
Next 15 Group plc —London
- Hybrid work
- Mentoring
- AI
- Communication skills
- Employee assistance programme
Quick apply
14d
Software Engineering Lead / Applied AI Engineering
RELX —London
- Full-time
- DevOps
- Java
- Machine learning
Technical Lead
Nandos —Putney
- Full-time
- Mentoring
- AI
- Restaurant
Data Center IT Manager
Nebius —Longcross
- Leadership
Quick apply
Principal Platform Engineer || Agentic AI || Identity and Access Management
IFS —Staines-upon-Thames
- Full-time
- Remote
- AI
Quick apply
Senior DevOps Engineer
Metrea —London
- Full-time
- Travel
- Mentoring
- Annual leave
Quick apply
8d
Principal Java Engineer
Group GTI —Wallingford
- Full-time
- Hybrid work
- Computer Science
- Continuous improvement
- No degree
Quick apply
Partner Engineer
Meta —London
- Computer Science
- Engineering
- Bachelor's degree
Head of BI & Performance Reporting
Cazoo —Richmond
- Hybrid work
- Presentation skills
- Agile
- Training & development
- Employee discount
- Referral programme
Field Sales Representative, Google Cloud, Media
Google —London
- Business development
- Bachelor's degree
- No degree
Software Developer, Scaled Ops AI Acceleration Team
Meta —London
- Full-time
- Computer Science
- Engineering
- Master's degree

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Software Engineer, AI/ML, PhD, Early Career

Google -
London

Apply Now

Job details

Qualifications

Data mining
Doctoral degree
Data structures
Distributed systems
Natural language processing
Software development
AI
Python

Full job description

Minimum qualifications:

Currently enrolled in or graduated from a PhD program.
Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields.
Experience in computer science and software design.

Preferred qualifications:

Experience working with Generative AI.
Experience with data structures and algorithms.
Knowledge of Python programming.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

AI in the Gemini Era is data-centric: the quality of the data used for training, fine-tuning, or RAG, matters more to the performance of the end product than almost anything else.

Our mission is to improve the quality of models that Google releases through its various product offerings by providing tools and services for making faster and easier to reach model quality goals. We do so by bringing data optimization techniques to a broad audience through integrated tools and platforms. We build and iterate tools to automatically and efficiently apply data optimization techniques. We demonstrate to our users which ones work best for their use case, and deliver insights on how to improve further. We’re working with key product teams across Google.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Help scaling data optimization techniques improving the performance and quality of ML models.
Work closely with our Research teams as well as ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Now

Refine Your Search

stack developer jobs in penn, bkm

Software Engineer, AI/ML, PhD, Early Career

Senior Developer (Python)

Principal Platform Engineer || Agentic AI || Internal Developer Platform (IDP)

Head of Cloud (Azure)

Senior Software Engineer, Dependency Tracing

Software Engineer, TPU Compiler, PhD, Early Careers

Security Tester (9 Month FTC)

Enterprise Account Executive

Business Engineer

Senior Engineer

Software Engineering Lead / Applied AI Engineering

Technical Lead

Data Center IT Manager

Principal Platform Engineer || Agentic AI || Identity and Access Management

Senior DevOps Engineer

Principal Java Engineer

Partner Engineer

Head of BI & Performance Reporting

Field Sales Representative, Google Cloud, Media

Software Developer, Scaled Ops AI Acceleration Team

I want to receive the latest job alerts for stack developer in penn, bkm

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