Computer vision engineer Work, Jobs in Beckton, Gtl (with Salaries)

Forward-Deployed Data Scientist II
Braze —London
- Doctoral degree
- Computer Science
- Master's degree
- Employee stock purchase plan
- Annual leave
Quick apply
Senior Staff Software Engineer - Delta
Databricks —London
- Doctoral degree
- Computer Science
- Master's degree
AI Research Engineer, Model Optimization and Inference
Iconic Interactive —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
Quick apply
SRE Architect (68019)
Hitachi —London
- Full-time
- Computer Science
- Engineering
- Analysis skills
Data Science Manager
London Stock Exchange Group —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
7d
Senior ML Ops Engineer
Xantura —London
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
- Annual leave
- Employee assistance programme
Quick apply
Principal Architect - United Kingdom
Persistent —London
- Full-time
- Computer Science
- Master's degree
- Databases
- Flexible schedule
Director, Data Science (AI)
London Stock Exchange Group —London
- Full-time
- Computer Science
- Master's degree
- Machine learning
Director, Search & AI Evaluation
Elsevier —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Employee assistance programme
- Employee discount
Tech Lead Manager, Machine Learning - Perception
Rivian —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
SRE Architect (68019)
Hitachi Rail —London
- Full-time
- Computer Science
- Engineering
- Analysis skills
Senior Manager, Machine Learning
Sony Interactive Entertainment —London
- Hybrid work
- Computer Science
- Engineering
Director, Search & AI Evaluation
RELX —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Employee assistance programme
- Employee discount
Senior Manager, Machine Learning
PlayStation Global —London
- Hybrid work
- Computer Science
- Engineering
Quick apply

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Forward-Deployed Data Scientist II

Braze -
London

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Job details

Benefits

Employee stock purchase plan
Annual leave

Qualifications

TensorFlow
CI/CD
Doctoral degree
Computer Science
Stakeholder collaboration
Master's degree
ETL data integration
Bachelor's degree
CI/CD pipelines
Machine learning
Machine learning modelling
Data science
Keras

Full job description

At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.

Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you.

WHAT YOU'LL DO

Our Forward-Deployed Data Scientist team is a group of creative technical experts who design and build end-to-end machine learning solutions that power 1-to-1 personalization for some of the world's leading brands. In this role, you will:

Design ML use cases from the ground up — scoping solutions that optimize for real business value, accounting for the complexity of modern marketing journeys, and proactively identifying risks to set each engagement up for success
Build and own the full ML pipeline — taking customers' raw data through transformation, model training, and activation, so that model decisions are delivered to personalize experiences for millions of end users
Drive customer success by providing ongoing technical guidance that ensures data science performance, successful adoption and measurable outcomes
Extend product capabilities by developing features and tools that support the broader AI deployment team and scale what's possible across engagements
Partner with the Braze Product team to refine and advance Braze's reinforcement learning algorithms, pushing the self-learning capabilities of the platform forward
Shape BrazeAI product strategy and roadmap by bringing customer-facing insights and deep technical expertise to the table

Take a closer look at what a day in the life of a Forward-Deployed Data Scientist at Braze looks like here.

WHO YOU ARE

Education: Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master's or PhD in a relevant technical discipline preferred
Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

WHAT WE OFFER

Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.

From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as:

Competitive compensation that may include equity
Retirement and Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans covering medical, dental, vision, life, and disability
Family services that include fertility benefits and equal paid parental leave
Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
A curated in-office employee experience, designed to foster community, team connections, and innovation
Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
Employee Resource Groups that provide supportive communities within Braze
Collaborative, transparent, and fun culture recognized as a Great Place to Work®

ABOUT BRAZE

Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™. Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.

The company has been consistently recognized as a Leader in marketing technology by industry analysts, and was named a G2 "Best of Marketing and Digital Advertising Software Product" in 2026. Braze was also named a 2026 Best Places to Work by Built In, a 2025 America's Greenest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.

The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.

BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER

At Braze, we strive to create equitable growth and opportunities inside and outside the organization.

Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.

We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you.

OUR AI-POWERED BRAZE RECRUITMENT PROCESS

At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most — the person behind each application — we use AI-assisted tools at certain stages of our recruitment process.

This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process.

Depending on where you are located, you may have the right to request further information about how AI is used in our recruitment process, to opt out of AI-assisted review, to request a manual review of any decision made or to contest a decision.

Please contact us at [email protected] for any requests or questions. To find out more about our hiring process, check out this page.

Notice Regarding Automated Employment Decision Tool (NYC Local Law 144)

Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review. Please submit any such request to our Talent Acquisition team at [email protected] promptly after applying. A summary of the most recent bias audit results for such tool is available here.

Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

Quick apply

Refine Your Search

computer vision engineer jobs in beckton, gtl

Forward-Deployed Data Scientist II

Senior Staff Software Engineer - Delta

AI Research Engineer, Model Optimization and Inference

SRE Architect (68019)

Data Science Manager

Senior ML Ops Engineer

Principal Architect - United Kingdom

Director, Data Science (AI)

Director, Search & AI Evaluation

Tech Lead Manager, Machine Learning - Perception

SRE Architect (68019)

Senior Manager, Machine Learning

Director, Search & AI Evaluation

Senior Manager, Machine Learning

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