AI / Machine Learning Engineer

Retail Circle Ltd

Greater London

Hybride

GBP 90 000 - 130 000

Plein temps

Il y a 5 jours
Soyez parmi les premiers à postuler

Obtenez une réponse de cet employeur

Votre CV et votre lettre de motivation, adaptés exactement à ce que l’employeur recherche.

Passez les filtres ATS

Avantages offerts par ce poste

25 days holiday per year + bank hols
Remote-friendly work
Learning & development budget

Résumé du poste

Retail Circle Ltd is actively hiring an AI / Machine Learning Engineer to join our growing Tech Startup in the Luxury Retail sector. You will develop and implement cutting-edge AI solutions to enhance our product, optimize operations, and drive business growth.

The role is mid-senior level, fully remote with openness to part-time, and offers a learning and development budget to keep you at the forefront of AI innovation.

Qualifications

  • Master's degree in Computer Science, Artificial Intelligence, Statistics, or related field (or equivalent).
  • 5+ years of experience developing and deploying ML models.
  • Strong understanding of ML algorithms, DL architectures, and statistical concepts.
  • Proficiency in Python with ML libraries (TensorFlow, PyTorch, scikit-learn).
  • Experience with data wrangling tools/techs (SQL, Spark).
  • Excellent communication and collaboration skills across cross-functional teams.
  • Be part of a growing sector implementing Web3, AI and blockchain infra.
  • Startup environment with flexible ideas and remote work.
  • Professional email credentials.
  • Ability to work with a talented team in a remote environment.
  • 25 days holiday per year + bank holidays.

Responsabilités

  • Design, develop, and deploy ML models to solve business problems in retail, including image analysis and pricing models.
  • Engineer and maintain data pipelines for data acquisition, cleaning, transformation, and feature engineering.
  • Train ML models using various algorithms and tune them for performance.
  • Integrate ML models into existing infrastructure and applications.
  • Leverage existing LLMs based on project requirements.
  • Collaborate with software developers and product managers to implement AI-powered solutions.
  • Stay up-to-date with AI/ML research and best practices.
  • Document work clearly for knowledge sharing.

Connaissances

Machine Learning
Deep Learning
Data Science
Python
Cloud Platforms
Git

Formation

Master's degree in CS/AI

Outils

TensorFlow
PyTorch
scikit-learn
SQL
Spark
AWS
GCP
Azure

Description du poste

Retail Circle is committed to hiring and developing exceptional talent.

Full-time (Open to Part-time) / Remote / Mid-Senior level

  • Machine Learning: Proven experience with machine learning libraries and frameworks (TensorFlow, PyTorch, scikit-learn)
  • Deep Learning: Familiarity with deep learning architectures (CNNs, RNNs) and their applications in relevant domains like image recognition, natural language processing, or recommender systems.
  • Data Science: Strong foundation in data science principles, including data analysis, feature engineering, model training, evaluation, and deployment.
  • Programming Languages: Expertise in Python for data manipulation, model development, and scripting.
  • Cloud Platforms: Experience with cloud platforms like AWS, GCP, or Azure for deploying and managing machine learning models.
  • Version Control (Git): Proficient in using Git for version control and collaboration.
What are you going to do:

We are seeking a talented AI / Machine Learning Engineer to join our growing Tech Startup in the Luxury Retail sector. You'll play a pivotal role in developing and implementing cutting‑edge AI solutions to enhance our product, optimize operations, and drive business growth.

Responsiblities:
  • Design, develop, and deploy machine learning models to solve complex business problems in the retail domain (e.g., text and image analysis, pricing models, recommender systems etc).
  • Engineer and maintain data pipelines for data acquisition, cleaning, transformation, and feature engineering.
  • Train machine learning models using various algorithms.
  • Integrate machine learning models into our existing infrastructure and applications.
  • Leverage existing LLMs based on the project requirements.
  • Collaborate with software developers and product managers to define and implement AI-powered solutions.
  • Stay up-to‑date with the latest advancements in AI/Machine Learning research and best practices.
  • Document your technical work clearly and concisely for future reference and knowledge sharing.
Requirements:
  • Master's degree in Computer Science, Artificial Intelligence, Statistics, or a related field (or equivalent experience).
  • 5+ years of experience in developing and deploying machine learning models.
  • Strong understanding of machine learning algorithms, deep learning architectures, and statistical concepts.
  • Proficiency in programming languages like Python (with libraries like TensorFlow, PyTorch, scikit-learn).
  • Experience with data wrangling tools and technologies (e.g., SQL, Spark).
  • Excellent communication and collaboration skills to work effectively with cross-functional teams.
  • A passion for innovation and a strong desire to apply AI to solve real-world problems.
  • Be a part of a growing sector implementing Web3, AI and blockchain infrastructure
  • Startup environment where ideas are welcome
  • Professional email credentials
  • The ability to work with a talented team in a remote environment
  • Full autonomy in your role and the opportunity to explore any areas of interest should it meet the vision of the business
  • 25 days holiday per year (plus bank holidays)

"Package is subject to relevant experience. It will bias towards performance related bonuses. Retail Circle places emphasis on a culture of learning and growth and everyone has access to a learning and development budget".

Retail Circle Values:

Focus, be bold, do it with fun !

Retail Circle is committed to hiring and developing exceptional talent. We are focusing on having diversity in our teams, working smarter and more efficiently. Also, beyond work, cultivating a work-life-balance is a new requisite to harness the best of our human resources. It is our vision and way of life.

Obtenez votre examen gratuit et confidentiel de votre CV.

ou faites glisser et déposez votre fichier ici.

Similar jobs

Postes similaires à comparer

Remote AI/ML Engineer for Luxury Retail
Remote AI/ML Engineer for Luxury Retail

Retail Circle Ltd • Greater London

Hybride
GBP 90 000 - 130 000
25 days holiday per year + bank hols
Remote-friendly work
Learning & development budget
Lead Machine Learning Engineer - Retail
Lead Machine Learning Engineer - Retail

Faculty • Greater London

Hybride
GBP 90 000 - 135 000
Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
+3
Machine Learning Software Engineer - DV Cleared
Machine Learning Software Engineer - DV Cleared

Searchability • City Of London

Hybride
GBP 70 000 - 110 000
Senior Data Scientist
Senior Data Scientist

Faculty • Greater London

Sur place
GBP 90 000 - 130 000
AI Engineer
AI Engineer

RedCloud • City Of London

Sur place
GBP 70 000 - 100 000
25 Days Annual leave
Enhanced Company Pension
Healthcare Cashplan with Medicash
+4
Staff AI/ML Engineer
Staff AI/ML Engineer

Checkout.com • Greater London

Hybride
GBP 110 000 - 170 000
Hybrid Working Model
Office snacks
Machine Learning Research Engineer
Machine Learning Research Engineer

Knauf Energy Solutions • City Of London

Hybride
GBP 60 000 - 100 000
Salary sacrifice car scheme
Generous annual leave
AI & Machine Learning Engineer
AI & Machine Learning Engineer

Nigel Frank • Greater London

Hybride
GBP 67 500 - 82 500
Hybrid and flexible working
Cutting-edge AI projects
Professional certifications and培训
+3
Machine Learning Engineer
Machine Learning Engineer

WRK Digital • Grande-Bretagne

À distance
GBP 50 000 - 70 000
Lead ML Engineer
Lead ML Engineer

Applied Data Science Partners • Greater London

Hybride
GBP 80 000 - 100 000
Market competitive compensation
Annual performance bonus
Generous annual leave
+6