Senior ML-Engineer in London

Senior ML-Engineer in London

London Full-Time 43200 - 72000 € / year (est.) No home office possible
Open Data Science

At a Glance

  • Tasks: Join us to apply cutting-edge ML solutions and scale innovative AI projects.
  • Company: High Sky is a dynamic startup focused on open-source AI solutions in NLP and CV.
  • Benefits: Enjoy remote work, flexible hours, professional growth, and health insurance after probation.
  • Other info: Opportunities for English lessons with native speakers and competitive salary based on interviews.
  • Why this job: Be part of a young, results-driven team making impactful AI advancements for everyone.
  • Qualifications: 6+ years of experience in ML, deep learning, and a degree in computer science or related fields.

The predicted salary is between 43200 - 72000 € per year.

Стартап, разрабатывающий AI-решения в NLP и CV, ищет инженера с опытом от 6 лет. Обязанности включают:

  • применение SOTA ML-решений;
  • масштабирование;
  • tuning моделей;
  • анализ алгоритмов;
  • исправление багов.

Наша компания High Sky начала развиваться как стартап и существует на рынке более 1,5 лет. Сейчас мы активно расширяем команду. У нас молодой, профессиональный коллектив, ориентированный на результат. Основные направления — NLP и CV с использованием SOTA решений. Мы разрабатываем AI-решения с открытым исходным кодом, доступные каждому человеку на планете.

Требования:

  • Опыт работы от 6 лет;
  • Опыт коммерческой разработки с нуля;
  • Опыт в deep learning, анализе данных или машинном обучении;
  • Понимание классических ML-алгоритмов, знание SOTA решений и архитектур в NLP или CV;
  • Высшее образование в области компьютерных технологий, прикладной математики или информатики;
  • Английский B2 и выше.

Будет плюсом:

  • Прохождение ШАД;
  • Опыт разработки продукта в реальном времени.

Заработная плата от 6 до 10 тысяч долларов по результатам собеседования. Возможность профессионального роста и обучения. Работа в молодом, результат-ориентированном коллективе. Занятия английским с носителем, ДМС после испытательного срока, подарки. Гибкая структура, удаленная работа без привязки к стране.

Senior ML-Engineer in London employer: Open Data Science

High Sky is an exceptional employer for those seeking to make a meaningful impact in the AI field, particularly in NLP and CV. With a young and results-oriented team, we offer flexible remote work options, competitive salaries, and opportunities for professional growth, including English language classes and comprehensive health insurance after the probation period. Join us in developing open-source AI solutions that are accessible to everyone around the globe.

Open Data Science

Contact Detail:

Open Data Science Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML-Engineer in London

Tip Number 1

Make sure to showcase your experience with state-of-the-art (SOTA) machine learning solutions in your conversations. Highlight specific projects where you've applied these techniques, especially in NLP or CV, as this will resonate well with our team's focus.

Tip Number 2

Prepare to discuss your approach to model tuning and performance optimisation. We value engineers who can not only implement models but also enhance their efficiency, so be ready to share examples of how you've improved existing solutions.

Tip Number 3

Familiarise yourself with the latest trends and frameworks in deep learning. Being knowledgeable about current advancements will demonstrate your commitment to staying at the forefront of the field, which is crucial for a role like this.

Tip Number 4

Engage with our community on platforms like GitHub or LinkedIn. Sharing your insights or contributing to open-source projects related to NLP or CV can help you stand out and show your passion for the industry.

We think you need these skills to ace Senior ML-Engineer in London

Deep Learning
Natural Language Processing (NLP)
Computer Vision (CV)
Model Tuning
Algorithm Analysis
Bug Fixing
Scalability Solutions

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights relevant experience in machine learning, particularly in NLP and CV. Emphasise your familiarity with SOTA ML solutions and any specific projects that demonstrate your skills.

Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for AI and your understanding of the company's mission. Mention how your background aligns with their focus on open-source AI solutions and your experience in deep learning.

Highlight Relevant Skills:In your application, clearly outline your technical skills, especially those related to deep learning, data analysis, and classical ML algorithms. Include any experience with tuning models and scaling solutions.

Showcase Continuous Learning:Mention any recent courses, certifications, or workshops you've completed, especially if they relate to machine learning or AI. This shows your commitment to staying updated in a rapidly evolving field.

How to prepare for a job interview at Open Data Science

Showcase Your Experience

Make sure to highlight your 6+ years of experience in machine learning, especially focusing on any projects involving NLP and CV. Be prepared to discuss specific examples where you've applied SOTA ML solutions and how you contributed to the success of those projects.

Demonstrate Technical Knowledge

Brush up on your understanding of classical ML algorithms and SOTA architectures relevant to NLP and CV. Expect technical questions that assess your knowledge and ability to tune models, analyse algorithms, and troubleshoot issues.

Prepare for Problem-Solving Scenarios

Be ready to tackle hypothetical scenarios or case studies during the interview. This could involve discussing how you would approach scaling a model or optimising performance. Show your thought process and problem-solving skills clearly.

Communicate Effectively in English

Since a B2 level of English is required, practice articulating your thoughts clearly and confidently in English. This will not only help you answer questions but also demonstrate your ability to communicate within an international team.