Design and implement advanced computer-vision and ML algorithms to detect defects and evaluate video quality. Optimize models for low latency and cost-efficient deployment, run model training/experimentation, and apply software engineering and statistical analysis to ensure scalable, near real-time performance.
About the role:
We're thrilled
to present an incredible career opportunity! We're recruiting on behalf of a
renowned multinational company based in the United Kingdom, seeking a Machine
Learning Engineer, Video Quality Analysis.
What
you’ll do:
As a key contributor, you will
help develop innovative solutions by designing and implementing advanced
algorithms to detect defects and evaluate overall video quality. This role
involves leveraging the latest technologies, including foundational models,
transformer-based architectures, masked autoencoders, image processing, image
analysis, computer vision, and machine learning. A primary focus will be on
optimizing these algorithms to ensure they deliver accurate, efficient, and
reliable results in near real-time.
Key
responsibilities:
- Develop detectors using
advanced computer vision and machine learning (ML) techniques.
- Optimize solutions to
ensure low latency and cost-effective operation at scale for customers.
- Apply deep knowledge of the
Machine Learning lifecycle, including model training, optimization,
experimentation, and maintenance.
- Leverage core
SDE computer science skills combined with a strong understanding of statistics
and math to analyse algorithmic performance.
Requirements
BASIC
QUALIFICATIONS
- Experience contributing to the architecture and design
(architecture, design patterns, reliability and scaling) of new and current
systems
- Experience programming with at least one modern language such as Java, C++,
or C# including object-oriented design
- Experience in professional, non-internship software development
- Master's degree in Machine Learning, Applied Mathematics, Operations Research
or a related field, or equivalent work experience
PREFERRED
QUALIFICATIONS
- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding
standards, code reviews, source control management, build processes, testing,
and operations
- Experience with developing and deploying Machine Learning Operations (MLOps)
at scale
- Experience with large scale foundational models and transformer-based
architecture (GenAI)
Benefits
- Immigration
support: The company provides support for your immigration process to
the United Kingdom.
- Competitive
Salary: Enjoy a competitive salary package reflective of your
skills and experience.
- Global
Experience: Gain international experience by working with a
diverse team in a dynamic region.
Similar Jobs
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Plan, execute, and optimize multi-channel paid media campaigns (search, social, display) to drive acquisition, pipeline and ROI. Own budgeting, tracking/attribution, testing frameworks, campaign QA, and performance reporting. Collaborate with Product Marketing, Creative, Analytics, and RevOps to localize campaigns, surface insights, and scale best practices globally.
Top Skills:
ExcelGa4Google AdsGoogle SheetsHubspotLinkedin AdsLookerMarketoMeta AdsPixelsProgrammaticQuoraRedditSalesforceTableauUtmsYoutube
Gaming
Own and optimize the VFX and animation pipeline for mobile casual puzzle games. Create high-quality, “juicy” VFX and animations from concept through final Unity implementation, using Particle System, Shader Graph, Animation Timeline, URP, and custom materials. Optimize for mobile performance and memory, troubleshoot visual and sorting issues, and collaborate with art, design, tech art, engineering, and production to improve workflows and runtime performance.
Top Skills:
Animation TimelineCustom MaterialsParticle SystemShaderShader GraphUnityUrp
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead category-level FP&A activities including planning, forecasting, financial modelling, reporting and decision support. Partner with sales and marketing, ensure controls/compliance, drive efficiency projects, develop finance talent and influence senior stakeholders to achieve financial targets.
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
