Machine Learning Engineer - Pre-Training Job at Wayve (London)

AI Engineer

As an AI Engineer at Eitan Medical, you will be part of a team committed to brin...

Location

Israel , Netanya

Salary:

Not provided

Eitan Medical

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related STEM field (Master’s degree preferred)
Strong background in machine learning and data engineering
Proven experience deploying LLM-based or GenAI-powered applications (via APIs, frameworks, or pre-trained models)
Proficiency in Python and experience with AI/ML libraries (e.g., LangChain, Hugging Face, PyTorch, TensorFlow)
Experience with containerization and orchestration (Docker, Kubernetes, EKS/AKS)
Team player with excellent communication and collaboration skills, working effectively with multidisciplinary teams
Independent, proactive, and self-motivated, with a strong sense of ownership and the ability to drive initiatives from concept to delivery
Passion for continuous learning, staying at the forefront of AI and data innovation, and translating it into tangible impact

Job Responsibility

Integrate Generative AI (GenAI) capabilities into Eitan’s SaaS platforms to enhance clinical decision support, treatment optimization, and actionable medical insights
Identify and lead AI-driven initiatives across departments to streamline processes, boost productivity, and accelerate innovation
Design and implement AI-powered systems, including RAG architectures and agentic workflows, using frameworks such as LangChain, LlamaIndex, or similar
Develop effective prompt strategies and reasoning pipelines for adaptive, context-aware, and explainable AI behavior
Monitor and optimize AI system performance, maintaining accuracy, reliability, and safety in healthcare contexts
Stay ahead of emerging AI research and tools, evaluating new technologies for their potential to deliver measurable clinical and business impact

AI Engineer Associate

We’re looking for an AI Engineer Associate who wants to help shape the future of...

Location

Sweden , Stockholm

Salary:

Not provided

Predli

Expiration Date

Until further notice

Requirements

Hold a degree in Machine Learning, Computer Science, Data Science, or a related field, and have a solid understanding of core ML principles
Skilled in programming across modern languages such as Python and TypeScript, and familiar with frameworks like PyTorch, TensorFlow, or Scikit-learn
Experienced working with databases, APIs, and data pipelines
Familiar with MLOps concepts, automation, and cloud environments
Based in Stockholm and fluent in English at a professional level

Job Responsibility

Design and build AI solutions that create real business value by applying pre-trained models in new and creative ways, especially within the rapidly evolving field of language models
Build and extend features in Predli Studio that push the boundaries of what’s possible with AI, creating tools that empower others and deliver real wow moments
Develop scalable APIs, backend services, and data pipelines for production-ready AI systems
Work with cloud infrastructure like AWS, GCP, and Azure, as well as container technologies such as Docker and Kubernetes
Collaborate with clients and non-technical stakeholders to translate ideas into working AI solutions
Explore and experiment with state-of-the-art AI tools and frameworks through internal innovation projects, keeping your skills sharp and your work at the forefront of the field
Participate in regular knowledge-sharing sessions and code reviews to exchange insights and improve our collective expertise

What we offer

Be part of a tight-knit team where your ideas matter and your work creates real impact
Work across consulting, product development, and applied research with exposure to diverse technologies and industries
Grow in a collaborative environment that values creativity, shared ownership, and learning by doing
Contribute to Predli Studio, a platform that redefines how organizations build and deploy AI
Take part in internal R&D projects that explore the future of intelligent systems
Join a culture that values curiosity, openness, and continuous learning
Enjoy a flexible hybrid setup, global collaboration, and opportunities for professional development and travel
Competitive compensation with room for growth as you develop in the role

AI/ML Engineering Intern

As part of our team, you will work in the technology department as an AI/ML Engi...

Location

Netherlands , Amsterdam

Salary:

Not provided

Hiber

Expiration Date

Until further notice

Requirements

Currently enrolled in a Bachelor’s or Master’s degree program in Computer Science, Data Science, Information Systems or a related field
Based in the Netherlands
Knowledge of Python and Python libraries for Machine Learning
Basic knowledge of data analysis and data modeling
Knowledge of relational databases and SQL
Good understanding of programming concepts
Familiarity with version control systems like Git
Good verbal and written communication skills in English
A self-driven and proactive problem-solver
A collaborative team player with a strong desire to learn

Job Responsibility

Investigate the various sources and types of data generated during our customer journey process
Develop an approach to categorize and tag this data to make it searchable, manageable, and suitable for AI/ML model training
Research and prototype with various AI approaches, technologies and pre-trained models

What we offer

Be part of an innovative IoT company with state-of-the-art technology
Collaborate with an international team of experienced professionals across multiple disciplines
Enjoy an open, learning-rich culture with opportunities for significant ownership
Work in a small team where your contributions are highly valued
Benefit from flexible hours and work-from-home options
Enjoy office perks such as a delicious lunch and Thursday drinks
A competitive internship stipend is provided with 20 vacation days per year based on a 40-hour working week

Fulltime

Research Engineer, Data Infrastructure

As a Research Engineer in Data Infrastructure, you will design and implement a “...

Location

United States , Palo Alto

Salary:

180000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong experience in building data pipelines and ETL systems
Ability to design and implement systems that collect, upload, and manage data from robotic fleets
Familiarity with architectures combining on‑robot components, on‑premises clusters, and cloud systems
Experience with data labeling tools or building tooling for dataset visualization and annotation
Skills in creating or applying machine learning models for dataset organization / automated labeling

Job Responsibility

Optimize operational efficiency of data collection on the NEO fleet
Design triggers on the robot to determine if and when data should be uploaded
Automate ETL pipelines so fleet‑wide data is easily queryable and available for training
Work with external dataset providers to prepare diverse multi-modal pre-training datasets
Build frontend tools for visualizing and automating labeling of very large datasets
Develop machine learning models to automatically label and organize datasets

What we offer

Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Fulltime

AI Research Engineer, Data Infrastructure

As a Research Engineer in Infrastructure, you will design and implement a robust...

Location

United States , Palo Alto

Salary:

180000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong experience in building data pipelines and ETL systems
Ability to design and implement systems for data collection and management from robotic fleets
Familiarity with architectures that span on-robot components, on-premise clusters, and cloud infrastructure
Experience with data labeling tools or building dataset visualization and annotation tooling
Proficiency in creating or applying machine learning models for dataset organization and automated labeling

Job Responsibility

Optimize operational efficiency of data collection across the NEO robot fleet
Design intelligent triggers to determine when and what data should be uploaded from the robots
Automate ETL pipelines to make fleet-wide data easily queryable and training-ready
Collaborate with external dataset providers to prepare diverse multi-modal pre-training datasets
Build frontend tools for visualizing and automating the labeling of large datasets
Develop machine learning models for automatic dataset labeling and organization

What we offer

Equity
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Fulltime

Research Scientist - Generative AI

As a Research Scientist in the Emergent Machine Intelligence Team at Hewlett Pac...

Location

United States , Santa Barbara

Salary:

101900.00 - 234500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields
3-5 years working experience with training and fine-tuning generative AI models including LLMs, diffusion models, or Energy-Based Models
Proven track record of research in generative models, demonstrated through publications, patents, or publicly available projects
Proficiency in programming languages commonly used in AI research, such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)
Deep understanding of machine learning algorithms and principles, especially in the context of generative AI
Strong mathematical background, with excellent skills in areas such as statistics, probability, linear algebra
Creative and analytical thinking abilities, with a passion for solving complex problems
Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences.

Job Responsibility

Conduct high-quality research in generative AI, including but not limited to designing algorithms for pre-training and post-training current autoregressive and diffusion models for multimodal data
Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities
Developing and prototyping novel algorithms for fine-tuning, retrieval augmented generation, and in-context learning for various generative models
Developing algorithms for training and inference in Energy-Based Models
Collaborate with cross-functional teams to apply research findings to develop new products or enhance existing ones
Publish research papers in top-tier journals and conferences, sharing findings with the broader scientific community
Stay abreast of the latest AI research and trends, identifying opportunities for innovation and improvement
Mentor junior researchers and engineers, fostering a culture of knowledge sharing and collaboration
Develop prototypes and proof-of-concept implementations to demonstrate the potential of research findings
Engage with the academic community by attending conferences, workshops, and seminars.

What we offer

A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development.

Fulltime

Research Scientist - Generative AI

This role involves conducting high-quality research in generative AI, designing ...

Location

United States

Salary:

101900.00 - 234500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields
3-5 years working experience with training and fine-tuning generative AI models including LLMs, diffusion models, or Energy-Based Models
Proven track record of research in generative models, demonstrated through publications, patents, or publicly available projects
Proficiency in programming languages commonly used in AI research, such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)
Deep understanding of machine learning algorithms and principles, especially in the context of generative AI
Strong mathematical background, with excellent skills in areas such as statistics, probability, linear algebra
Creative and analytical thinking abilities, with a passion for solving complex problems
Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences

Job Responsibility

Conduct high-quality research in generative AI, including but not limited to designing algorithms for pre-training and post-training current autoregressive and diffusion models for multimodal data
Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities
Developing and prototyping novel algorithms for fine-turning, retrieval augmented generation, and in-context learning for various generative models
Developing algorithms for training and inference in Energy-Based Models
Collaborate with cross-functional teams to apply research findings to develop new products or enhance existing ones
Publish research papers in top-tier journals and conferences, sharing findings with the broader scientific community
Stay abreast of the latest AI research and trends, identifying opportunities for innovation and improvement
Mentor junior researchers and engineers, fostering a culture of knowledge sharing and collaboration
Develop prototypes and proof-of-concept implementations to demonstrate the potential of research findings
Engage with the academic community by attending conferences, workshops, and seminars

What we offer

A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Data Scientist

We are seeking a Senior Data Scientist with deep expertise in unstructured data ...

Location

Taiwan

Salary:

Not provided

Beyond Limits

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in AI, Machine Learning, and Data Science, with a strong focus on production-scale AI
Expertise in LLMs, including fine-tuning, distributed training, quantization, and pruning techniques
Experience working with OCR, ASR, and TTS applications in real-world deployments
Proven experience deploying AI models in production, with real-world examples of scaled AI applications
Strong understanding of cloud computing, containerization (Docker, Kubernetes), and ML Ops best practices
Proficiency in Python, PyTorch, and ML libraries
Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures
Strong awareness of AI system performance benchmarks (latency, speed, throughput) and ability to optimize models accordingly
Experience working with AI agents, designing real-world intelligent automation solutions beyond just open-source experimentation
Proficiency in transformer-based architectures (BERT, GPT, LLaMA, Whisper, etc.), including pre-training, fine-tuning, and task-specific adaptation

Job Responsibility

Develop and deploy AI models for unstructured data (text, speech, audio, images) with a focus on enterprise-scale performance
Fine-tune, optimize, and deploy LLMs and multimodal models, integrating distributed training, quantization, and pruning techniques for efficiency
Design and implement production-ready AI solutions, ensuring scalability, low-latency inference, and high throughput
Work with AI agents and automation frameworks to create intelligent, real-world AI applications for enterprise clients
Build and maintain end-to-end LLM Ops pipelines, ensuring efficient training, deployment, monitoring, and model updates
Implement vector search and retrieval-augmented generation (RAG) systems for large-scale data solutions
Monitor AI performance using key metrics such as speed, latency, and throughput, continuously refining models for real-world efficiency
Work with cloud-based AI infrastructure (AWS, GCP) and containerized environments (Docker, Kubernetes) to scale AI solutions
Collaborate with engineering, DevOps, and product teams to align AI solutions with business needs and client requirements
Implement data curation pipelines, including data collection, cleaning, deduplication, decontamination, etc. for training high-quality AI models

Machine Learning Engineer - Pre-Training

Wayve

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 01, 2026

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