AI Research Scientist - Generative Models
Posted 3 days ago
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Job Description
Key Responsibilities:
- Conduct state-of-the-art research in generative artificial intelligence, including but not limited to GANs, VAEs, diffusion models, and large language models.
- Design, develop, and implement novel AI algorithms and architectures.
- Perform rigorous experimentation and evaluation of AI models, analysing results to drive further innovation.
- Collaborate closely with a team of world-class researchers and engineers on ambitious projects.
- Publish research findings in top-tier academic conferences and journals.
- Develop and maintain high-quality, production-ready code for AI models.
- Contribute to the intellectual property of the company through patents and new research directions.
- Mentor junior researchers and interns, fostering a culture of continuous learning and discovery.
- Stay at the forefront of AI research by continuously exploring new literature and techniques.
- Engage in knowledge sharing through presentations and internal discussions.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a strong publication record.
- Proven track record of research and development in generative models.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python.
- Deep understanding of machine learning theory, statistical modelling, and optimisation techniques.
- Experience with large-scale data processing and distributed training is highly advantageous.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Exceptional communication and collaboration skills, with the ability to articulate complex ideas clearly.
- A passion for pushing the frontiers of AI and a drive for innovation.
Senior AI Research Scientist (Generative Models)
Posted 3 days ago
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Job Description
Key responsibilities include:
- Conducting pioneering research in generative models, including GANs, VAEs, diffusion models, and transformers.
- Developing novel algorithms and techniques to advance the state-of-the-art in AI content generation, synthesis, and understanding.
- Implementing and training large-scale models using advanced deep learning frameworks (e.g., TensorFlow, PyTorch).
- Evaluating model performance, identifying limitations, and devising strategies for improvement.
- Collaborating with a team of world-class researchers and engineers to translate research findings into practical applications.
- Publishing research findings in top-tier AI conferences and journals.
- Mentoring junior researchers and contributing to the intellectual leadership of the team.
- Staying abreast of the latest advancements in AI, machine learning, and related fields.
- Contributing to the ethical considerations and responsible development of AI technologies.
- Presenting research progress and outcomes to technical and non-technical audiences.
The ideal candidate will hold a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record. A minimum of 5 years of research experience in AI, with a specific focus on generative models, is required. Demonstrated expertise in deep learning, statistical modelling, and data analysis is essential. Proficiency in Python and major deep learning libraries is a must. Excellent problem-solving, critical thinking, and communication skills are necessary to thrive in this collaborative, remote research environment. If you are a visionary researcher driven by discovery and eager to shape the future of AI, we encourage you to apply.
Principal AI Research Scientist, Generative Models
Posted 10 days ago
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Job Description
Your Responsibilities Will Include:
- Conceptualize, design, and implement novel AI algorithms and models, with a particular focus on generative approaches (e.g., GANs, VAEs, Diffusion Models, Large Language Models).
- Lead research projects from ideation through to prototyping and potential deployment.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate closely with engineering teams to integrate research advancements into product roadmaps.
- Mentor junior researchers and contribute to the growth of the AI research community within the organization.
- Stay at the cutting edge of AI research by continuously reviewing literature and exploring new methodologies.
- Develop and maintain strong theoretical foundations in machine learning, deep learning, and related fields.
- Contribute to strategic planning for the AI research division.
- Present research progress and insights to stakeholders at various levels.
- Foster a culture of innovation, curiosity, and rigorous scientific inquiry.
Required Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- Minimum of 7 years of post-doctoral research experience in AI, with a strong publication record.
- Deep expertise in generative models, deep learning architectures, and foundational ML principles.
- Proficiency in Python and major deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed training.
- Proven ability to lead research initiatives and drive projects to completion.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work effectively both independently and as part of a collaborative team in a hybrid environment.
Senior AI Research Scientist - Generative Models
Posted 12 days ago
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Job Description
Responsibilities:
- Conduct fundamental research in generative AI and deep learning.
- Design, develop, and implement state-of-the-art AI models.
- Analyze and interpret experimental results to guide further research.
- Stay abreast of the latest advancements in AI and machine learning literature.
- Publish research findings in top-tier conferences and journals.
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Mentor junior researchers and contribute to the team's technical growth.
- Contribute to the ethical development and deployment of AI technologies.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and publications in generative models or deep learning.
- Strong programming skills in Python and proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale datasets and distributed training.
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills.
- Ability to work independently and as part of a team in a fast-paced setting.
Senior AI Research Scientist - Generative Models
Posted 15 days ago
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Job Description
Responsibilities:
- Conduct research into advanced AI techniques, with a focus on generative adversarial networks (GANs), variational autoencoders (VAEs), and large language models (LLMs).
- Design, develop, and implement novel AI models and algorithms for various applications, including but not limited to natural language generation, image synthesis, and data augmentation.
- Collaborate with cross-functional teams of engineers and product managers to integrate AI solutions into existing and new products.
- Stay abreast of the latest advancements in AI research and identify opportunities for innovation.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and engineers, fostering a culture of learning and continuous improvement.
- Contribute to the strategic direction of AI research within the organization.
- Evaluate and benchmark AI models for performance, accuracy, and efficiency.
- Prepare technical reports and presentations for both technical and non-technical audiences.
- Ensure responsible and ethical development and deployment of AI technologies.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of relevant research experience in AI/ML.
- Demonstrated expertise in generative models (GANs, VAEs, diffusion models, etc.).
- Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with large-scale data processing and distributed computing.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts clearly.
- Proven ability to work independently and as part of a collaborative team.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- Publications in top AI conferences (e.g., NeurIPS, ICML, ICLR) are highly desirable.
This position is based in London, England, UK , offering a hybrid work model that combines the benefits of in-office collaboration with the flexibility of remote work. Join us in shaping the future of AI.
Senior AI Research Scientist - Generative Models
Posted 17 days ago
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Job Description
Key Responsibilities:
- Lead research initiatives in areas such as natural language generation, image synthesis, and reinforcement learning for generative tasks.
- Develop, implement, and optimize advanced deep learning models, including transformers, GANs, and diffusion models.
- Collaborate with cross-functional teams to integrate AI models into real-world applications and products.
- Design and execute experiments to evaluate model performance, identify areas for improvement, and validate research findings.
- Stay abreast of the latest advancements in AI and machine learning, identifying opportunities for innovation.
- Mentor junior researchers and contribute to the team's knowledge sharing and technical growth.
- Write clear, concise, and comprehensive technical documentation, research papers, and internal reports.
- Participate in peer reviews and provide constructive feedback on research proposals and implementations.
- Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of research experience in AI, with a strong focus on generative models.
- Demonstrated expertise in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proven experience in developing and deploying large-scale AI models.
- Strong publication record in top-tier AI conferences and journals.
- Excellent problem-solving, analytical, and critical thinking skills.
- Outstanding communication and collaboration abilities.
- Ability to work independently and manage multiple projects effectively in a remote setting.
AI Research Scientist - Machine Learning Models
Posted 10 days ago
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Job Description
- Conducting fundamental and applied research in machine learning, deep learning, and related AI fields.
- Developing and prototyping new algorithms and model architectures.
- Designing and executing experiments to validate research hypotheses.
- Analyzing large datasets to extract insights and inform model development.
- Collaborating with engineers to integrate research findings into production systems.
- Publishing research findings in top-tier academic conferences and journals.
- Staying at the forefront of AI advancements and identifying emerging research areas.
- Mentoring junior researchers and contributing to the team's scientific knowledge base.
- Contributing to the development of intellectual property and patent applications.
- Presenting research concepts and results to technical and non-technical audiences.
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Principal Data Scientist - Deep Learning
Posted 19 days ago
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As a Principal Data Scientist, you will take ownership of the end-to-end lifecycle of deep learning projects, from conceptualization and data acquisition to model training, validation, and deployment. Your responsibilities will include researching and evaluating state-of-the-art deep learning architectures, developing novel algorithms, and conducting rigorous experimentation to achieve optimal performance. You will collaborate closely with a team of world-class scientists, engineers, and researchers, providing technical leadership and mentorship. The ability to translate complex scientific problems into solvable machine learning tasks and communicate intricate technical details effectively is crucial.
This role requires a deep theoretical understanding of machine learning, statistical modeling, and advanced mathematical concepts, coupled with extensive hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. You will be expected to stay abreast of the latest advancements in the field, contribute to the scientific community through publications and presentations, and potentially file patents. The capacity to manage multiple research initiatives simultaneously, drive innovation, and work autonomously in a fully remote setting is essential.
The ideal candidate will possess a PhD or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field. A strong publication record in top-tier conferences and journals is highly valued. You should have at least 7-10 years of experience in data science and deep learning, with a proven ability to lead complex projects from conception to successful implementation. Exceptional problem-solving skills, a passion for scientific discovery, and outstanding communication abilities are required. This is an unparalleled opportunity to contribute to significant scientific breakthroughs from a remote-first environment.
Key Responsibilities:
- Lead the research and development of advanced deep learning models.
- Design and implement novel algorithms for complex scientific problems.
- Conduct rigorous experiments and validate model performance.
- Mentor and provide technical guidance to junior data scientists and researchers.
- Collaborate with cross-functional teams on cutting-edge projects.
- Publish research findings in leading scientific venues.
- Stay current with advancements in AI, machine learning, and deep learning.
- PhD or equivalent research experience in Computer Science, AI, or a related quantitative field.
- 10+ years of experience in data science and deep learning.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong background in machine learning, statistics, and advanced mathematics.
- Proven track record of leading complex R&D projects.
- Excellent research, problem-solving, and communication skills.
AI (artificial intelligence) DevOps Engineer
Posted 3 days ago
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Job Description
AI (artificial intelligence) DevOps Engineer Azure Kubernetes Service (AKS),
Brilliant new opportunity for a AI DevOps Engineer with expertise in Azure Kubernetes Service (AKS), Helm, and KEDA to join a thriving STEM business who are heavily investigating in their AI (artificial intelligence) Platform including build a best in class AI (artificial intelligence) Platform with custom build of everything
Role details
- Title : AI (artificial intelligence) DevOps Engineer
- Location: can be based in either Glasgow or London City, 1 or 2 days a week in the office and home working hybrid
- Permanent role- salary 70,000- 90,000
About the job
An exciting opportunity for a talented AI DevOps Engineer, you will focused on looking at areas where AI can add improvements, as everything is being custom built rather than off the shelf
As an AI DevOps Engineer, you will be responsible for building and managing scalable, secure infrastructure for our multi-agent AI orchestration platform. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation
We do have other artificial intelligence roles in the team including AI (artificial intelligence) test Engineer roles, so please do send through a CV still if that is more in line with your expectations
What are the key expectations of this role?
- This role involves working across multiple Azure regions (UK South, Sweden Central, East US) to ensure high availability, secure deployments, and efficient agent orchestration using AKS.
- You will create and maintain CI/CD pipelines for Azure services, Semantic Kernel agents, manage Kubernetes clusters, and integrate observability tools to monitor system health and performance.
- You'll also ensure alignment with enterprise-grade security practices, including zero trust principles, identity-aware routing, and integration with Azure API Management and Application Gateway.
Skills, Knowledge & Experience
- Expertise in Azure Kubernetes Service (AKS), Helm, and KEDA
- Infrastructure-as-code using Bicep or ARM templates
- Hands-on experience with CI/CD pipelines (e.g., Bitbucket, Azure DevOps)
- API Gateway, Azure API Management (APIM), Azure Application Gateway
- Monitoring tools such as Prometheus, Grafana, and Azure Monitor
- Understanding of secure multi-region deployments and network segmentation
Remote Working
Expected to be in the office 1 to 2 days a week. With additional days depending on activity (e.g. a design workshop)
This is a brilliant opportunity for a talented AI DevOps Engineer to join this business as they are genuinely growing and developing for a world class artificial intelligence AI Platform
To find out more about Huxley, please visit (url removed)
Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales
AI (artificial intelligence) Test Automation Engineer
Posted 3 days ago
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Job Description
AI (artificial intelligence) Test Automation Engineer
Brilliant new opportunity for a AI Test Automation Engineer with expertise in Test automation frameworks to join a thriving STEM business who are heavily investigating in their AI (artificial intelligence) Platform including build a best in class AI (artificial intelligence) Platform with custom build of everything
Role details
- Title : AI (artificial intelligence) AI Test Automation Engineer
- Location: can be based in either Glasgow or London City, 1 or 2 days a week in the office and home working hybrid
- Permanent role- salary 70,000- 90,000
About the job
As the AI Test Automation Engineer, you will design and implement automated testing frameworks to validate the safety, reliability, and robustness of AI agents across our orchestration platform. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation
Skills, Knowledge & Experience
- Test automation frameworks (e.g., PyTest, Postman, Playwright, k6)
- LLM behaviour testing, including misuse and injection detection
- CI/CD integration with Azure DevOps for continuous testing
- Python/YAML scripting for scenario and agent validation
Remote Working
- Expected to be in the office 1 to 2 days a week. With additional days depending on activity (e.g. a design workshop)
This is a new and exclusive opportunity and a great chance to join this business as they are thriving and growing
For more information, and the chance to be considered, please do send through a CV
Good luck
To find out more about Huxley, please visit (url removed)
Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales