Principal AI and Machine Learning Scientist Job at Vanguard (Malvern)

Principal Data Scientist – AI & Machine Learning

We’re partnering with a highly respected, data driven organisation in the altern...

Location

United Kingdom , London

Salary:

100000.00 - 125000.00 GBP / Year

Myn

Expiration Date

Until further notice

Requirements

6–12 years’ experience in data science, currently operating at Principal level
Strong grounding in machine learning fundamentals (supervised learning essential)
Proven experience delivering production-grade ML solutions
Strong Python and SQL skills
Experience with experimentation and data-driven decision making
Ability to operate as a hands-on technical leader (not pure management)
Advanced degree (Master’s or PhD) in a quantitative field

Job Responsibility

Design, build, and deploy machine learning models (prediction, classification)
Own delivery of data science solutions from problem definition to production
Lead experimentation and A/B testing to drive continuous improvement
Collaborate cross functionally with product, engineering, and commercial teams
Mentor and elevate a high-performing team of data scientists and ML engineers
Contribute to AI strategy, including developments in generative AI

What we offer

10% discretionary bonus
equity scheme

Fulltime

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Waltham

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Denver

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Los Angeles

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , North Bethesda

Salary:

164000.00 - 213000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Principal Machine Learning Data Scientist, Gen AI

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI tea...

Location

United States , Lexington

Salary:

Not provided

Cherry Ventures

Expiration Date

Until further notice

Requirements

A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred
7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs)
Experience with multimodal data processing (e.g., combining text, image, and 3D data)
Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy
Strong background in probability, statistics, and optimization techniques relevant to generative modeling
Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker)
Familiar with software engineering principles, including version control, reproducibility, and continuous integration

Job Responsibility

Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development
Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives
Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents
Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models
Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models
Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment
Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities
Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment
Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development

Senior Applied Scientist and Principal Applied Scientist

Are you passionate about advancing Artificial Intelligence through innovative re...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Additional or Preferred Qualifications: Bachelor's Degree AND 6+ years related experience
OR Master's Degree AND 4+ years related experience
OR Doctorate AND 3+ years related experience
OR equivalent experience

Job Responsibility

Collaborate with AI researchers, engineers, and multidisciplinary teams within M365 Core to design, build, and deliver end-to-end machine learning solutions optimized for human-human and human-AI interactions across productivity and collaboration scenarios
Lead and contribute to research and development initiatives in language model training, evaluation, and quality assessment with a specific focus on advancing the foundational capabilities and enterprise solutions of M365 Core
Design, develop, and refine robust ML pipelines, including data cleaning, feature engineering, model training, evaluation, deployment, and optimization
Adapt, extend or enhance the capability of large language models (LLMs) using a combination of supervised finetuning, reinforcement learning, and apply advanced techniques such as chain of thought prompting, agent orchestration, and synthetic data generation to meet evolving business needs
Remain current with the latest advancements in ML, AI, digital signal processing, and responsible AI practices, contributing to intellectual property portfolios through publications, patents, and libraries
Develop and deploy live production systems as part of integrated product teams, supporting all phases of the product cycle from ideation to shipping, post-launch optimization, and ongoing improvements
Champion ethics, fairness, and privacy in AI system development, contributing to policy creation and ensuring responsible research and data collection practices
Document work in progress, experimentation results, and share findings to promote a culture of innovation and transparency
Mentor and develop early-in-career team members, establish best practices, and collaborate with academic communities to build a robust recruiting pipeline for research talent
Present research findings at conferences and industry events, shaping the dialogue around AI-powered solutions for enterprise and communication platforms

Fulltime

Senior Applied Scientist and Principal Applied Scientist

AI has created an unprecedented opportunity to make work better for hundreds of ...

Location

United States , Multiple Locations

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

A record of publications in top-tier scientific venues (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, KDD, WWW, CHI, PNAS, Nature, EMNLP, CVPR, ICCV, ECCV, CoRL)
Doctorate (or currently pursuing) in Computer Science, Electrical or Computer Engineering, Information Science, Statistics or related field AND 1+ years of experience
OR Master’s Degree AND 3+ years of relevant experience
OR Bachelor’s Degree AND 4+ years of relevant experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products
Shape product direction by integrating rigorous scientific methods into the product lifecycle
Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders
Serving as a bridge between research and product
Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices
Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven
Effectively communicating with product leaders (and often Microsoft researchers (MSR)) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts

Fulltime

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Principal AI and Machine Learning Scientist

Job Description

Job Responsibility

Requirements

What we offer

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