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puestos de Machine Learning en Gran Bretaña

Software Engineer, ML Infrastructure

Snapchat

City Of London
Presencial
GBP 60.000 - 100.000
Hace 30+ días
Quiero recibir las últimas vacantes disponibles de puestos de “Machine Learning”

Data Scientist

Sneak Peek Tech

City Of London
Presencial
GBP 100.000 - 125.000
Hace 30+ días

Group Product Manager

Runna

City Of London
Híbrido
GBP 90.000 - 110.000
Hace 30+ días

Insight & Analytics Consultant

Metrica Recruitment

Gran Bretaña
A distancia
GBP 45.000 - 65.000
Hace 30+ días

PyTorch Frameworks Engineer – Flexible Work & Performance

Cerebras

Cambridge
Presencial
GBP 80.000 - 100.000
Hace 30+ días
discover more jobs illustrationDescubre más oportunidades que en ningún otro sitio. Accede a más vacantes

Senior Risk Modelling Analyst – 28929

The Emerald Group

England
Presencial
GBP 40.000 - 60.000
Hace 30+ días

Lead Data Engineer

Verdigris Technologies Inc

Norteamérica
A distancia
GBP 60.000 - 90.000
Hace 30+ días

Senior Actuary, Pricing

Allianz

Croydon
Presencial
GBP 70.000 - 100.000
Hace 30+ días
HeadhuntersEntra en contacto con cazatalentos para acceder a vacantes similares

Computational Linguist

NLP PEOPLE

East Horsley
Híbrido
GBP 40.000 - 70.000
Hace 30+ días

LECTURER IN COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE

NLP PEOPLE

Colchester
Presencial
GBP 60.000 - 80.000
Hace 30+ días

Equity Systematic Researchers / Developers

jobs.jerseyeveningpost.com-job boards

Gran Bretaña
Presencial
GBP 50.000 - 90.000
Hace 30+ días

Algorithms Engineer

MBDA

Stevenage
Híbrido
GBP 45.000 - 65.000
Hace 30+ días

Senior Data Scientist - Insights

Preply

City Of London
Presencial
GBP 70.000 - 90.000
Hace 30+ días

Financial Crime Analyst

ANNA Money

Cardiff
Híbrido
GBP 35.000 - 38.000
Hace 30+ días

Associate Educator, Data Scientist

BrainStation

Londres
Presencial
GBP 40.000 - 60.000
Hace 30+ días

Data Scientist, Mid/Senior (m/f/*)

Crane Venture Partners

Gran Bretaña
Híbrido
GBP 60.000 - 85.000
Hace 30+ días

Channel Success Manager EMEA + APAC

Ravelin

City Of London
Híbrido
GBP 50.000 - 70.000
Hace 30+ días

Marketing Science Manager

Havas Group

City Of London
Presencial
GBP 45.000 - 65.000
Hace 30+ días

Data Platform Engineer

easyJet Airline Company PLC

City Of London
Híbrido
GBP 50.000 - 70.000
Hace 30+ días

Principal AI/ ML Robotics Engineer - Environmental Perception

Analog Devices

City of Edinburgh
Presencial
GBP 75.000 - 95.000
Hace 30+ días

Engineering Manager

LemFi

Gran Bretaña
A distancia
GBP 70.000 - 90.000
Hace 30+ días

Account Manager

Qualio

Norteamérica
A distancia
GBP 51.000 - 67.000
Hace 30+ días

Sr. Sales Engineer - Southern CA

Job Board

Norteamérica
Presencial
USD 230.000 - 268.000
Hace 30+ días

Software Engineer - Wexler

Matter Intelligence

City Of London
Presencial
GBP 70.000 - 100.000
Hace 30+ días

Senior Backend Engineer

Madfish

Gran Bretaña
Híbrido
GBP 60.000 - 80.000
Hace 30+ días

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Software Engineer, ML Infrastructure
Snapchat
City Of London
Presencial
GBP 60.000 - 100.000
Jornada completa
Hace 30+ días

Descripción de la vacante

A leading technology company in London is seeking a Software Engineer for ML Infrastructure. You will design scalable systems for machine learning workloads and enhance pipelines for content ranking and recommendations. Ideal candidates should have strong programming skills and experience with distributed systems and big data frameworks. Join a diverse team committed to innovation and collaboration in a vibrant office environment.

Servicios

Paid parental leave
Comprehensive medical coverage
Emotional and mental health support programs

Formación

  • Strong programming skills in Python, Java, Scala, or C++.
  • Experience building large scale production machine learning systems.
  • Good understanding of distributed systems.

Responsabilidades

  • Design and optimize infrastructure systems for machine learning workloads.
  • Build and enhance feature generation pipelines for ML models.
  • Develop high-performance inference systems for AI model serving.

Conocimientos

Python
Java
Scala
C++
Distributed systems
Big data processing frameworks

Educación

Bachelor’s degree in Computer Science
Master’s degree in a technical field
PhD in a relevant technical field

Herramientas

Spark
Flink
Ray
TensorFlow
PyTorch
Descripción del empleo
Overview

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

Role

You’ll play a critical role in scaling our ML Infrastructure, optimizing AI training and inference systems, and driving innovations that make Snapchat’s ranking and recommendation systems more efficient and impactful.

Position

We’re looking for a Software Engineer, ML Infrastructure to join Snap Inc!

What you’ll do
  • Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure
  • Build and enhance feature generation pipelines that power real-time and batch ML models for content ranking and recommendations
  • Develop high-performance inference systems to ensure fast and efficient AI model serving
  • Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud
  • Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
  • Work closely with ML engineers to deploy cutting-edge models into production
Knowledge, Skills & Abilities
  • Strong programming skills in Python, Java, Scala or C++
  • Strong problem-solving skills with a focus on system performance, scalability, and efficiency
  • Good understanding of distributed systems and the infrastructure components of large-scale ML
  • Experience with big data processing frameworks such as Spark, Flink, or Ray
  • Ability to collaborate and work well with others
  • Proven track record of operating highly-available systems at significant scale
  • Ability to proactively learn new concepts and apply them at work
Minimum Qualifications
  • Bachelor’s degree in a technical field such as computer science or equivalent experience
  • Post-Bachelor’s software development experience; or Master’s degree in a technical field + post-grad software development experience; or PhD in a relevant technical field
  • Experience building large scale production machine learning systems, distributed systems or big data processing
Preferred Qualifications
  • Masters/PhD in a technical field such as computer science or equivalent industry experience
  • Experience working with ML Training platforms or optimizing AI model inference
  • Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks
Accommodations

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

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* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.

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