385 Machine Learning Architect jobs in the United Kingdom
AI & Machine Learning Lead Architect
EH3 9DG Edinburgh, Scotland
£85000 Annually
WhatJobs
Posted 11 days ago
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Job Description
Our client, a pioneering force in AI innovation and cutting-edge technology solutions, is seeking a visionary AI & Machine Learning Lead Architect to spearhead the design and implementation of advanced intelligent systems. This is a fully remote position, offering the unique opportunity to shape the future of artificial intelligence from anywhere in the UK. You will be responsible for architecting scalable, robust, and efficient ML pipelines, from data ingestion and preprocessing to model training, deployment, and monitoring. The role demands a deep understanding of a wide range of machine learning algorithms, deep learning frameworks, and cloud-based AI platforms. You will lead the technical direction for AI initiatives, collaborating closely with data scientists, software engineers, and product managers to translate complex business requirements into state-of-the-art AI solutions. Key responsibilities include evaluating and selecting appropriate technologies, ensuring the ethical development and deployment of AI models, and establishing best practices for MLOps. You will guide the team in building sophisticated predictive models, natural language processing systems, computer vision applications, and other AI-driven functionalities. A critical aspect of this role is fostering a culture of innovation, continuous learning, and knowledge sharing within the remote AI team. You will stay at the forefront of AI research and development, identifying emerging trends and opportunities to integrate novel approaches. Excellent communication skills are essential for articulating complex technical concepts to both technical and non-technical stakeholders, and for mentoring junior members of the AI engineering team. This role provides a platform to make a significant impact on groundbreaking AI projects within a highly collaborative, remote-first environment.
Responsibilities:
Responsibilities:
- Design and implement scalable, end-to-end AI and Machine Learning architectures.
- Develop and oversee the deployment of ML models into production environments (MLOps).
- Lead the selection and integration of AI technologies, frameworks, and tools.
- Collaborate with data scientists and engineers to build and train sophisticated ML models.
- Ensure the ethical and responsible development and application of AI systems.
- Establish best practices for data preprocessing, feature engineering, and model validation.
- Provide technical leadership and mentorship to the AI/ML engineering team.
- Evaluate and benchmark different AI algorithms and approaches for specific problem domains.
- Develop strategies for AI model monitoring, maintenance, and continuous improvement.
- Communicate complex technical concepts effectively to diverse stakeholders.
- Stay current with advancements in AI, ML, and related fields.
- MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of experience in AI/ML development, with at least 3 years in an architectural or lead role.
- Deep expertise in ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and AI platforms (e.g., AWS SageMaker, Azure ML, GCP AI Platform).
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Experience with MLOps practices and tools.
- Proven ability to design and deploy large-scale AI solutions.
- Excellent understanding of data engineering principles and big data technologies.
- Strong leadership, communication, and problem-solving skills.
- Demonstrated experience working effectively in a remote, collaborative team environment.
- Experience with NLP, computer vision, or reinforcement learning is a plus.
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0
Senior AI Solutions Architect - Machine Learning & Deep Learning
BD1 1AB Bradford, Yorkshire and the Humber
£85000 Annually
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Posted 15 days ago
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Job Description
Our client is a pioneering technology firm at the cutting edge of Artificial Intelligence and Emerging Technologies. We are seeking a highly skilled Senior AI Solutions Architect to join our dynamic and innovative team. This role is ideal for a visionary technologist with deep expertise in Machine Learning (ML) and Deep Learning (DL) who can design, develop, and deploy advanced AI solutions for a range of complex business challenges. The position is fully remote, offering the flexibility to work from anywhere in the UK while collaborating with a global team of AI researchers, engineers, and data scientists. You will be instrumental in translating business needs into scalable, robust AI architectures.
Key Responsibilities:
Key Responsibilities:
- Design and architect end-to-end AI/ML solutions, from data ingestion and preprocessing to model training, deployment, and monitoring.
- Collaborate with clients and internal stakeholders to understand their business objectives and identify opportunities for AI integration.
- Select appropriate ML algorithms, frameworks, and tools for specific project requirements.
- Develop and implement robust data pipelines and MLOps strategies for efficient model lifecycle management.
- Provide technical leadership and guidance to development teams throughout the project lifecycle.
- Evaluate and recommend emerging AI technologies and platforms.
- Ensure AI solutions are scalable, secure, and compliant with relevant regulations.
- Develop proof-of-concepts and prototypes to demonstrate the value of AI solutions.
- Create detailed technical documentation, architectural diagrams, and presentations.
- Stay abreast of the latest advancements in AI, ML, DL, and related fields.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML, with at least 3 years in a Solutions Architect or similar design role.
- Proven expertise in designing and implementing ML/DL models using frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
- Strong understanding of cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Experience with MLOps practices and tools (e.g., Kubeflow, MLflow, Docker, Kubernetes).
- Proficiency in programming languages such as Python, Java, or Scala.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
- Demonstrated ability to lead technical projects and mentor other team members.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
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1
AI Solutions Architect - Machine Learning
CB2 1DR Cambridge, Eastern
£75000 Annually
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Posted today
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Job Description
Our client, a pioneering force in the AI and Emerging Technologies sector, is seeking a highly skilled AI Solutions Architect with a specialization in Machine Learning. This role offers a hybrid working model, allowing for flexibility between remote work and essential on-site collaboration at their cutting-edge facility in Cambridge, Cambridgeshire, UK . You will be responsible for designing, developing, and deploying sophisticated AI and Machine Learning solutions that address complex business challenges and drive innovation. This position requires a deep understanding of ML algorithms, data science principles, cloud platforms, and software engineering best practices. You will work closely with product teams, data scientists, and engineers to translate business requirements into scalable and robust AI architectures.
Key Responsibilities:
Qualifications and Experience:
This is an exciting opportunity to shape the future of AI within a dynamic and forward-thinking organization.
Key Responsibilities:
- Design and architect end-to-end AI and Machine Learning solutions, ensuring scalability, reliability, and performance.
- Collaborate with data scientists to select appropriate ML models and algorithms for specific business problems.
- Oversee the implementation and deployment of ML models into production environments, often leveraging cloud infrastructure.
- Develop robust data pipelines and MLOps strategies for model training, validation, and monitoring.
- Evaluate and recommend emerging AI technologies and platforms to enhance our client's capabilities.
- Provide technical leadership and guidance to development teams throughout the AI project lifecycle.
- Translate complex technical concepts into clear, concise explanations for both technical and non-technical stakeholders.
- Identify and mitigate risks associated with AI/ML solutions, including data privacy, security, and ethical considerations.
- Contribute to the development of internal AI standards, best practices, and reusable components.
- Stay current with the latest research and advancements in AI, Machine Learning, and related fields.
Qualifications and Experience:
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Minimum of 6 years of experience in designing and implementing AI/ML solutions, with a strong portfolio of successful projects.
- Proficiency in programming languages commonly used in AI/ML, such as Python, R, or Java.
- Extensive experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Solid understanding of MLOps principles and tools for model deployment and lifecycle management.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work effectively in a hybrid team environment, balancing remote and in-office collaboration.
This is an exciting opportunity to shape the future of AI within a dynamic and forward-thinking organization.
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2
AI Solutions Architect & Machine Learning Engineer
NE1 4JE Newcastle upon Tyne, North East
£70000 Annually
WhatJobs
Posted 10 days ago
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Job Description
Our client, a cutting-edge technology firm at the forefront of artificial intelligence innovation, is seeking a highly skilled and visionary AI Solutions Architect & Machine Learning Engineer. This role is pivotal in designing, developing, and deploying advanced AI and machine learning models that solve complex business challenges. You will work collaboratively with cross-functional teams, translating business requirements into robust technical solutions and leading the end-to-end development lifecycle of AI-powered applications. The ideal candidate possesses a strong theoretical foundation in machine learning, coupled with practical experience in building and deploying scalable AI systems.
Your responsibilities will include architecting AI solutions, selecting appropriate algorithms and frameworks, and designing data pipelines for model training and deployment. You will develop, train, and fine-tune machine learning models for tasks such as predictive analytics, natural language processing, computer vision, and recommendation systems. Data preprocessing, feature engineering, and model evaluation will be critical components of your work. You will also be responsible for integrating AI models into existing software systems and cloud platforms, ensuring seamless performance and scalability. Staying abreast of the latest research and advancements in AI and machine learning, and applying them to develop innovative solutions, is paramount. Collaboration with software engineers, data scientists, and product managers to define project scope, technical requirements, and deliverables will be a key aspect of this hybrid role. A strong understanding of MLOps practices for model deployment, monitoring, and maintenance is highly desirable. Experience with various cloud platforms (AWS, Azure, GCP) and a deep understanding of deep learning frameworks (TensorFlow, PyTorch) are essential. This is a unique opportunity to shape the future of AI solutions for a forward-thinking company located in Newcastle upon Tyne, Tyne and Wear, UK .
Your responsibilities will include architecting AI solutions, selecting appropriate algorithms and frameworks, and designing data pipelines for model training and deployment. You will develop, train, and fine-tune machine learning models for tasks such as predictive analytics, natural language processing, computer vision, and recommendation systems. Data preprocessing, feature engineering, and model evaluation will be critical components of your work. You will also be responsible for integrating AI models into existing software systems and cloud platforms, ensuring seamless performance and scalability. Staying abreast of the latest research and advancements in AI and machine learning, and applying them to develop innovative solutions, is paramount. Collaboration with software engineers, data scientists, and product managers to define project scope, technical requirements, and deliverables will be a key aspect of this hybrid role. A strong understanding of MLOps practices for model deployment, monitoring, and maintenance is highly desirable. Experience with various cloud platforms (AWS, Azure, GCP) and a deep understanding of deep learning frameworks (TensorFlow, PyTorch) are essential. This is a unique opportunity to shape the future of AI solutions for a forward-thinking company located in Newcastle upon Tyne, Tyne and Wear, UK .
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3
Lead AI Solutions Architect - Machine Learning
PO1 1AA Portsmouth, South East
£85000 Annually
WhatJobs
Posted 13 days ago
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Job Description
Our client is seeking an innovative and experienced Lead AI Solutions Architect specializing in Machine Learning to join their pioneering team in Portsmouth, Hampshire, UK . This crucial role involves designing, developing, and implementing sophisticated AI and ML solutions that address complex business challenges and drive technological advancement. You will be responsible for architecting robust, scalable, and efficient AI systems, guiding development teams, and ensuring the successful integration of AI technologies into our client's offerings. This role offers a dynamic hybrid working arrangement.
Key responsibilities include:
The ideal candidate will possess a Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a minimum of 7 years of experience in AI/ML development and solution architecture. Proven experience in designing and deploying scalable ML models in production environments is essential. Deep understanding of various ML algorithms, statistical modeling, and data mining techniques is required. Proficiency in programming languages such as Python, along with experience in ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (AWS, Azure, GCP) is a must. Strong knowledge of MLOps principles and practices is highly desirable. Excellent analytical, problem-solving, and communication skills are paramount, with the ability to articulate complex technical concepts effectively. Experience leading technical teams and driving complex projects to successful completion is critical. This is an exciting opportunity to shape the future of AI within a forward-thinking organization.
Key responsibilities include:
- Architecting and designing end-to-end AI/ML solutions, including data pipelines, model training, deployment, and monitoring frameworks.
- Leading the evaluation and selection of appropriate AI/ML technologies, platforms, and tools to meet project requirements.
- Collaborating closely with data scientists, engineers, product managers, and business stakeholders to define AI strategies and translate requirements into technical designs.
- Developing proofs-of-concept (POCs) and prototypes to validate AI/ML approaches and demonstrate feasibility.
- Guiding and mentoring engineering teams on best practices for AI/ML development, MLOps, and system integration.
- Ensuring the scalability, reliability, security, and performance of deployed AI solutions.
- Staying abreast of the latest advancements in AI, machine learning, deep learning, and related fields.
- Contributing to the development of the company's AI roadmap and intellectual property.
- Presenting technical designs and findings to both technical and non-technical audiences.
- Troubleshooting and resolving complex technical issues related to AI/ML systems.
The ideal candidate will possess a Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a minimum of 7 years of experience in AI/ML development and solution architecture. Proven experience in designing and deploying scalable ML models in production environments is essential. Deep understanding of various ML algorithms, statistical modeling, and data mining techniques is required. Proficiency in programming languages such as Python, along with experience in ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (AWS, Azure, GCP) is a must. Strong knowledge of MLOps principles and practices is highly desirable. Excellent analytical, problem-solving, and communication skills are paramount, with the ability to articulate complex technical concepts effectively. Experience leading technical teams and driving complex projects to successful completion is critical. This is an exciting opportunity to shape the future of AI within a forward-thinking organization.
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4
Senior Machine Learning Engineer - Remote AI Solutions Architect
AB10 1AA Aberdeen, Scotland
£60000 Annually
WhatJobs
Posted 19 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking an exceptional Senior Machine Learning Engineer to spearhead the development of cutting-edge AI solutions. This is a 100% remote opportunity, ideal for talented individuals looking to contribute their expertise without geographical constraints. You will be instrumental in designing, building, and deploying sophisticated machine learning models that drive significant business value. Your responsibilities will include all phases of the ML lifecycle, from data preprocessing and feature engineering to model selection, training, evaluation, and deployment. We are looking for candidates with a strong theoretical foundation in machine learning algorithms, coupled with practical experience in applying these techniques to real-world problems. Expertise in deep learning frameworks such as TensorFlow or PyTorch is essential, as is proficiency in programming languages like Python. You will work with large datasets, employing advanced statistical methods and algorithms to uncover insights and build predictive models. This role demands a deep understanding of MLOps principles to ensure robust, scalable, and maintainable AI systems. Collaboration with data scientists, software engineers, and product managers will be key to successfully translating business needs into effective AI solutions. The successful candidate will possess a strong analytical mindset, excellent problem-solving skills, and the ability to communicate complex technical concepts clearly. If you are passionate about pushing the boundaries of artificial intelligence and thrive in a collaborative, remote-first environment, this is the perfect opportunity for you. A proven track record of delivering successful ML projects and experience with cloud platforms (AWS, Azure, GCP) are highly valued. This role offers the chance to shape the future of AI within our organisation and contribute to impactful projects that redefine industries.
Responsibilities:
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms.
- Conduct comprehensive data analysis, feature engineering, and model validation.
- Utilize deep learning frameworks (TensorFlow, PyTorch) for complex model training.
- Implement and manage MLOps pipelines for model deployment and monitoring.
- Collaborate with cross-functional teams to define AI project requirements and objectives.
- Optimize ML models for performance, scalability, and efficiency.
- Stay current with the latest research and advancements in AI and machine learning.
- Document model development processes, findings, and best practices.
- Provide technical leadership and mentorship to junior team members.
- Contribute to the strategic direction of AI initiatives within the company.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of hands-on experience in machine learning development and deployment.
- Strong proficiency in Python and ML libraries (Scikit-learn, Pandas, NumPy).
- Expertise in deep learning frameworks such as TensorFlow and/or PyTorch.
- Solid understanding of statistical modeling and algorithms.
- Experience with MLOps tools and practices (e.g., Docker, Kubernetes, CI/CD).
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities.
- Proven ability to work effectively in a remote, independent setting.
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5
AI Research Scientist - Deep Learning
BD7 1AH Bradford, Yorkshire and the Humber
£70000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a pioneering AI research lab at the forefront of artificial intelligence innovation, is seeking an exceptional AI Research Scientist specializing in Deep Learning to join their globally distributed, fully remote team. This role offers a unique opportunity to contribute to groundbreaking research and development in areas such as machine learning, natural language processing, computer vision, and reinforcement learning. You will be instrumental in designing, developing, and implementing novel AI algorithms and models, conducting rigorous experimentation, and publishing findings in top-tier academic conferences and journals. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field, coupled with a strong publication record and extensive hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. Responsibilities include conceptualizing and prototyping new AI solutions, analysing large datasets to extract insights, collaborating with cross-functional teams, and staying abreast of the latest advancements in the field. This position demands a deep theoretical understanding of machine learning principles, strong programming skills in Python, and experience with cloud computing platforms (AWS, GCP, Azure). You will thrive in an intellectually stimulating, research-intensive environment and be passionate about pushing the boundaries of AI. Excellent analytical, problem-solving, and communication skills are essential for collaborating effectively within a remote, international team. This role is ideal for a driven researcher eager to make a significant impact on the future of artificial intelligence from the comfort of their home office.
Key Responsibilities:
Key Responsibilities:
- Conduct cutting-edge research in deep learning and artificial intelligence.
- Design, develop, and implement novel machine learning models and algorithms.
- Experiment with various AI architectures and techniques to solve complex problems.
- Analyse large-scale datasets to train and validate AI models.
- Publish research findings in leading AI conferences and journals.
- Collaborate with other researchers and engineers on joint projects.
- Stay current with the latest research and advancements in AI/ML.
- Develop prototypes and proof-of-concepts for new AI applications.
- Contribute to the open-source AI community where applicable.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Proven research experience in deep learning, with a strong publication record.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in Python and relevant scientific libraries (NumPy, SciPy, Pandas).
- Experience with large dataset manipulation and analysis.
- Familiarity with cloud computing environments (AWS, GCP, Azure).
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong written and verbal communication skills for remote collaboration.
- Ability to work independently and drive research initiatives.
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6
AI Research Scientist - Deep Learning
CV1 2LS Coventry, West Midlands
£60000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a brilliant and ambitious AI Research Scientist specializing in Deep Learning to join their fully remote research team. This role is perfect for individuals passionate about pushing the boundaries of artificial intelligence, developing novel algorithms, and contributing to cutting-edge research that will shape future technologies. You will have the opportunity to work on challenging problems, collaborate with world-class researchers, and publish your findings in top-tier conferences and journals.
As a remote scientist, you will be empowered to conduct your research from anywhere, utilizing state-of-the-art computational resources and collaborating seamlessly with colleagues across different time zones. The focus will be on developing and implementing advanced deep learning models for tasks such as natural language processing, computer vision, reinforcement learning, or generative models. You will be expected to conceptualize new research ideas, design experiments, analyze results, and translate research breakthroughs into practical applications.
Key Responsibilities:
As a remote scientist, you will be empowered to conduct your research from anywhere, utilizing state-of-the-art computational resources and collaborating seamlessly with colleagues across different time zones. The focus will be on developing and implementing advanced deep learning models for tasks such as natural language processing, computer vision, reinforcement learning, or generative models. You will be expected to conceptualize new research ideas, design experiments, analyze results, and translate research breakthroughs into practical applications.
Key Responsibilities:
- Conduct cutting-edge research in deep learning and artificial intelligence, focusing on areas like neural networks, machine learning, and data science.
- Develop, implement, and evaluate novel AI algorithms and models.
- Design and execute rigorous experiments to test hypotheses and validate research findings.
- Analyze large datasets and extract meaningful insights to inform model development.
- Stay current with the latest advancements in AI and related fields through literature review and conference participation.
- Collaborate effectively with other researchers, engineers, and product teams in a remote environment.
- Publish research findings in leading academic journals and present at international conferences.
- Contribute to the development of AI products and solutions based on research outcomes.
- Mentor junior researchers and interns, sharing knowledge and expertise.
- Write clear and concise technical documentation and reports.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research contributions in deep learning, evidenced by publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or peer-reviewed journals.
- Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Solid understanding of machine learning theory, algorithms, and statistical modeling.
- Experience with large-scale data processing and analysis.
- Excellent analytical, critical thinking, and problem-solving abilities.
- Strong communication and collaboration skills, adept at working in a distributed team setting.
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7
AI Research Scientist - Deep Learning
WV1 1AA Wolverhampton, West Midlands
£70000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a brilliant AI Research Scientist specializing in Deep Learning to join their pioneering team. This role, based in the West Midlands, offers the flexibility of being fully remote, allowing you to contribute to groundbreaking research from anywhere in the UK. You will be instrumental in developing next-generation AI models and algorithms that will redefine industry standards and solve complex real-world problems.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in deep learning, natural language processing, computer vision, or reinforcement learning.
- Design, develop, and implement novel AI algorithms and models.
- Experiment with and evaluate various deep learning architectures and frameworks.
- Process and analyze large datasets to train and optimize AI models.
- Collaborate with a team of researchers and engineers to translate research findings into practical applications.
- Stay abreast of the latest advancements in AI and machine learning by reading research papers, attending conferences, and engaging with the research community.
- Publish research findings in top-tier AI conferences and journals.
- Develop prototypes and proof-of-concepts for new AI technologies.
- Contribute to the overall research strategy and roadmap.
- Mentor junior researchers and contribute to a collaborative research environment.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Strong publication record in reputable AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Proven experience in deep learning model development and implementation using frameworks such as TensorFlow, PyTorch, or Keras.
- Expertise in at least one of the following areas: Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, or Generative Models.
- Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Proficiency in programming languages such as Python.
- Experience with big data technologies and distributed computing environments.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong written and verbal communication skills, with the ability to present complex technical information clearly.
- Ability to work independently and collaboratively in a remote research setting.
- A passion for pushing the boundaries of artificial intelligence.
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8
AI Research Scientist - Deep Learning
BS1 6DG Bristol, South West
£85000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking a highly talented and motivated AI Research Scientist specializing in Deep Learning to join their fully remote research team. This role is dedicated to pushing the boundaries of artificial intelligence, focusing on developing novel deep learning models and algorithms to solve complex challenges across various domains. You will be responsible for conducting cutting-edge research, designing and implementing advanced neural networks, and evaluating their performance on large-scale datasets. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with a strong publication record in top-tier AI conferences and journals. Your expertise will encompass various deep learning architectures, including but not limited to Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers, and Generative Adversarial Networks (GANs). Responsibilities include conceptualizing new research ideas, developing robust experimental setups, and rigorously testing hypotheses. You will work with state-of-the-art deep learning frameworks such as TensorFlow, PyTorch, and Keras. Collaboration with a global team of researchers and engineers will be crucial to translate research findings into practical applications and innovative products. This position requires strong programming skills in Python, exceptional analytical and problem-solving abilities, and a passion for scientific discovery. You will contribute to the advancement of AI through your research, publishing key findings, and potentially contributing to open-source projects. This is a unique opportunity to contribute to groundbreaking AI research in a dynamic and intellectually stimulating remote environment. If you are a visionary AI researcher eager to make a significant impact, we encourage you to apply.
Responsibilities:
Responsibilities:
- Conduct fundamental and applied research in deep learning and AI.
- Design, implement, and evaluate novel deep learning models and algorithms.
- Develop and execute rigorous experiments to test hypotheses.
- Utilize deep learning frameworks like TensorFlow and PyTorch.
- Analyze large datasets to extract insights and inform model development.
- Collaborate with research scientists and engineers globally.
- Publish research findings in leading AI conferences and journals.
- Contribute to the development of AI-powered products and applications.
- Stay current with the latest advancements in AI and deep learning.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Proven track record of research publications in top AI conferences (e.g., NeurIPS, ICML, ICLR).
- Deep understanding of various deep learning architectures (CNNs, RNNs, Transformers, GANs).
- Proficiency in Python and deep learning libraries (TensorFlow, PyTorch).
- Strong analytical, mathematical, and problem-solving skills.
- Experience with large-scale data analysis and model training.
- Excellent communication and collaboration abilities.
- Ability to work independently and lead research initiatives remotely.
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