Benefits:

• Generously matched contributions

• Vitality Health (London employees)

• Life insurance (London employees)

• 25 days holiday plus bank holidays

• Learning & development fund

Responsibilities:

• Help collect and clean datasets

• Determine new training approaches, loss functions and methodologies

• Design new architectures and deploy models to production

Education Requirements:

• A good 2.1 degree in Computer Science, Mathematics, Electrical or Mechanical Engineering or a related subject

Responsibilities:

• Revolutionise design and manufacturing end-to-end

• Enable the conception, optimisation and production of better products

• Focus on "neural" digital twins, powered by data sources including process monitoring, supply chains, literature and human expert input

Benefits:

• Work in R&D team on state-of-the-art algorithms

• Internal discussions about research papers

• Mentorship and detailed feedback

• Hybrid work

• Office in city center with park view

Education Requirements:

• Bachelor's degree in Computer Science, Mathematics, Physics, or related field

Experience Requirements:

• 5+ years of professional experience in data science and machine learning

Other Requirements:

• Portfolio of significant real-world projects

• Advanced knowledge of mathematics

• Excellent communication skills

• Experience leading data science projects

• Advanced English and Croatian

Responsibilities:

• Detailed understanding of the domain problem

• Communication with clients

• Data preparation, processing, and analysis

• Developing, testing, and evaluating machine learning models

Benefits:

• Work in R&D team on state-of-the-art algorithms

• Internal discussions about research papers

• Mentorship and detailed feedback

• Hybrid work

• Office in city center with park view

Education Requirements:

• Bachelor's degree in Computer Science, Mathematics, Physics, or related field

Experience Requirements:

• 3+ years of professional experience in data science and machine learning (for Data Scientist)

• 5+ years of professional experience in data science and machine learning (for Senior Data Scientist)

Other Requirements:

• Portfolio of significant real-world projects

• Advanced knowledge of mathematics

• Strong communication skills

• Advanced English and Croatian

Responsibilities:

• Detailed understanding of the domain problem

• Communication with clients

• Data preparation, processing, and analysis

• Developing, testing, and evaluating machine learning models

Experience Requirements:

• 3+ years of experience in ML research

Other Requirements:

• Expertise in domains like Reinforcement Learning, Simulation, Statistical Analysis, Computer Vision, and NLP

• Deep knowledge of modern machine learning theory, loss function engineering, and the latest advances in AI research

• Proficiency in cloud infrastructure management and model deployment using Terraform and Kubernetes

• Familiarity with PyTorch, Hugging Face, and experiment tracking platforms like Weights & Biases

Responsibilities:

• Lead the development and fine-tuning of advanced ML models across domains like Reinforcement Learning, NLP, and Computer Vision.

• Design and implement effective Hyperparameter Optimization (HPO), cross-validation strategies, and architecture selection processes.

• Choose loss functions and optimizers tailored for specific problem sets and ensure models generalize well.

• Implement and monitor experiment tracking using tools like Tensorboard, MLFlow, or Weights & Biases.

• Develop and optimize training datasets using Hugging Face Datasets and PyTorch. Stay on top of evolving literature and drive new research initiatives that keep us ahead of the curve.

Benefits:

• Health, dental, and vision insurance

• Take what you need vacation policy

• Career growth opportunities within a fast-growing AI company

Experience Requirements:

• 5+ years of experience in AI/ML engineering

• Proven track record of working on AI/ML projects from concept to production

• Experience with deploying AI models in production environments

• You write amazing code, fast

Responsibilities:

• join our team and help us build a category-defining product that scales to massive enterprises and high-growth startups alike

• evaluating cutting-edge AI solutions and ensuring their successful implementation in enterprise environments

Other Requirements:

• Bilingual - Hindi/English

Benefits:

• Full-time employment

• Competitive remuneration package

• Equity in the company

• Dynamic working environment

• International team

Education Requirements:

• Degree in Computer Science, Data Science, Machine Learning/AI, Bioinformatics, or related field (Master's or PhD preferred)

Experience Requirements:

• Strong Experience in Natural Language Processing (NLP)

• Data preparation

• ML & Deep learning

• Experience in knowledge graphs and information retrieval

Responsibilities:

• Data preparation and feature engineering

• NLP and ML development

• Model evaluation and performance tuning

• Data pipeline development

• System optimization

Benefits:

• Flexible working

• Personal development

• Community-focused culture

Benefits:

• The opportunity to shape the data strategy of a growing company

• A role that balances analytics, reporting, and some data management

• A chance to work with a dynamic and collaborative team

• Competitive compensation and benefits

• A supportive environment that encourages innovation and personal growth

Experience Requirements:

• 3+ years

Responsibilities:

• Delivering analyses to guide decisions

• Creating updates in ELT pipeline

• Making new data accessible to the team

• Analyzing customer lifecycles

• Automating anomaly detection