374 Machine Learning Architect jobs in the United Kingdom
Remote AI & Machine Learning Solutions Architect
Posted 5 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design and architect end-to-end AI and Machine Learning solutions.
- Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
- Select appropriate machine learning models, algorithms, and tools for specific use cases.
- Develop and implement data pipelines for model training and deployment.
- Guide the development, testing, and deployment of AI/ML models.
- Ensure the scalability, reliability, and performance of AI solutions.
- Work with cloud platforms (AWS, Azure, GCP) for AI/ML infrastructure.
- Provide technical leadership and mentorship to engineering teams.
- Stay abreast of the latest advancements in AI and machine learning technologies.
- Evaluate and integrate third-party AI tools and services.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Extensive experience in designing and implementing AI/ML solutions.
- Deep understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and MLOps.
- Proficiency with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Strong programming skills in Python, R, or similar languages.
- Experience with big data technologies (e.g., Spark, Hadoop).
- Excellent problem-solving, analytical, and communication skills.
- Ability to work effectively in a remote team environment.
- Experience with data engineering and ETL processes.
Lead AI & Machine Learning Systems Architect (Remote)
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Architect and design scalable, robust, and efficient AI/ML systems and pipelines.
- Lead the development and implementation of machine learning models, algorithms, and frameworks.
- Oversee the entire ML lifecycle, from data preprocessing and feature engineering to model training, validation, and deployment (MLOps).
- Define the technical roadmap for AI/ML initiatives and evaluate emerging technologies.
- Collaborate closely with data scientists, software engineers, and product managers to integrate AI/ML solutions into products and services.
- Ensure the performance, reliability, and security of AI/ML systems in production environments.
- Develop strategies for data governance, model management, and ethical AI practices.
- Provide technical leadership and mentorship to AI/ML engineering teams.
- Troubleshoot complex AI/ML system issues and optimize performance.
- Stay abreast of the latest research and advancements in artificial intelligence and machine learning.
- Develop and maintain comprehensive documentation for AI/ML systems and processes.
- Present technical findings and strategic recommendations to stakeholders.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development and system architecture, with proven leadership experience.
- Deep expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and AI development tools.
- Strong understanding of MLOps principles and best practices for deploying and managing ML models at scale.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Knowledge of data engineering, big data technologies (e.g., Spark, Hadoop), and database systems.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and interpersonal skills, with the ability to lead and influence technical teams.
- Proven ability to thrive in a remote, fast-paced, and collaborative work environment.
- Experience with natural language processing (NLP), computer vision, or reinforcement learning is a plus.
AI Solutions Architect, Machine Learning
Posted 5 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design and architect scalable, high-performance AI and Machine Learning solutions.
- Develop end-to-end ML lifecycles, from data preparation to model deployment and monitoring.
- Evaluate and recommend AI/ML technologies, tools, and platforms.
- Collaborate with data scientists and engineers to implement and optimize ML models.
- Ensure the integration of AI solutions with existing enterprise systems and applications.
- Provide technical leadership and guidance on AI/ML best practices and emerging trends.
- Contribute to the development of AI strategy and roadmaps.
- Communicate complex technical concepts to stakeholders at all levels.
- Ensure ethical considerations and responsible AI principles are incorporated into designs.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Proven experience in designing and deploying AI/ML solutions in production environments.
- Strong understanding of machine learning algorithms, deep learning, NLP, and computer vision.
- Expertise in cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Proficiency in programming languages like Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Excellent analytical, problem-solving, and communication skills.
AI Solutions Architect, Machine Learning
Posted 5 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design and architect end-to-end AI and Machine Learning solutions.
- Collaborate with clients to understand business requirements and translate them into technical specifications.
- Develop AI solution roadmaps and technical strategies.
- Select appropriate ML algorithms, frameworks, and cloud platforms.
- Design data pipelines, feature engineering processes, and model training workflows.
- Oversee the deployment, monitoring, and maintenance of AI models (MLOps).
- Provide technical leadership and guidance to data science and engineering teams.
- Present AI solutions and technical recommendations to stakeholders.
- Stay abreast of the latest advancements in AI, machine learning, and related technologies.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development and solutions architecture.
- Deep understanding of machine learning algorithms, statistical modeling, and deep learning techniques.
- Proficiency with programming languages such as Python, and libraries like TensorFlow, PyTorch, scikit-learn.
- Hands-on experience with cloud AI platforms (AWS, Azure, GCP).
- Experience with MLOps tools and practices is highly desirable.
- Excellent communication, presentation, and client-facing skills.
- Strong analytical and problem-solving capabilities.
AI Solutions Architect - Machine Learning
Posted 5 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design and architect end-to-end AI and Machine Learning solutions, encompassing data ingestion, feature engineering, model training, deployment, and monitoring.
- Translate business requirements into technical specifications and viable AI/ML solutions.
- Evaluate and recommend appropriate ML algorithms, frameworks, and tools for specific use cases.
- Develop robust data pipelines and ensure data quality and integrity for ML model development.
- Implement MLOps practices for efficient model deployment, versioning, and continuous integration/continuous deployment (CI/CD).
- Collaborate with data scientists and engineers to build, train, and optimize machine learning models.
- Provide technical leadership and guidance on AI/ML best practices and emerging technologies.
- Work with cloud platforms (AWS, Azure, GCP) to design and deploy scalable AI infrastructure.
- Effectively communicate technical strategies, architectures, and solutions to stakeholders at all levels.
- Contribute to the company's AI strategy and roadmap, identifying new opportunities for AI innovation.
Qualifications:
- 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 development, with at least 3 years in a solutions architect or lead engineering role.
- Extensive experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn.
- Proficiency in programming languages like Python and associated data science libraries (Pandas, NumPy).
- Strong understanding of cloud platforms (AWS SageMaker, Azure ML, Google AI Platform) and MLOps principles.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and architectural design skills.
- Outstanding communication and presentation abilities.
- Proven ability to lead technical projects and mentor team members.
AI Solutions Architect - Machine Learning
Posted 5 days ago
Job Viewed
Job Description
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with at least 7 years of experience in AI/ML engineering and architecture. Deep expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and programming languages such as Python is mandatory. Proven experience in designing and implementing end-to-end ML solutions, including MLOps practices, cloud AI platforms (AWS SageMaker, Azure ML, Google AI Platform), and big data technologies (e.g., Spark) is essential. Excellent communication, leadership, and stakeholder management skills are required to effectively articulate technical strategies and influence decision-making. This hybrid role allows for a flexible working arrangement, combining collaborative office-based work with remote flexibility. You will have the opportunity to work on challenging and impactful projects, contributing to the development of next-generation AI applications. We are looking for a visionary and technically adept professional passionate about leveraging AI to solve complex problems and shape the future of technology.
AI Solutions Architect - Machine Learning
Posted 5 days ago
Job Viewed
Job Description
Key responsibilities will include:
- Designing end-to-end AI/ML solutions, including data pipelines, model training frameworks, and deployment strategies.
- Selecting appropriate AI/ML algorithms and tools based on project requirements and data characteristics.
- Architecting cloud-based AI infrastructure on platforms such as AWS, Azure, or GCP.
- Collaborating with data scientists, engineers, and product managers to define technical specifications and project roadmaps.
- Developing proof-of-concepts and prototypes to validate AI solutions.
- Ensuring the scalability, reliability, and security of deployed AI systems.
- Providing technical leadership and mentorship to junior team members.
- Staying current with advancements in AI, machine learning, deep learning, and related fields.
- Communicating complex technical concepts effectively to both technical and non-technical stakeholders.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, or equivalent practical experience. You should have a minimum of 5 years of experience in designing and implementing AI/ML solutions, with a strong portfolio of successful projects. Expertise in programming languages like Python and libraries such as TensorFlow, PyTorch, or scikit-learn is essential. Proven experience with cloud computing platforms and MLOps practices is highly valued. This fully remote role offers an exciting opportunity to work on challenging projects that are shaping the future of technology and to collaborate with a passionate team of innovators.
This is a remote-first position, supporting operations related to Milton Keynes, Buckinghamshire, UK.
Be The First To Know
About the latest Machine learning architect Jobs in United Kingdom !
Senior AI Solutions Architect - Machine Learning
Posted 5 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design and architect end-to-end machine learning solutions.
- Select appropriate ML algorithms, frameworks, and tools for specific use cases.
- Lead the development, implementation, and deployment of ML models.
- Ensure the scalability, performance, and reliability of AI systems.
- Collaborate with data scientists and engineers to build robust data pipelines.
- Define MLOps strategies and best practices for model lifecycle management.
- Provide technical guidance and mentorship to AI/ML teams.
- Communicate complex technical concepts to business stakeholders.
- Evaluate and integrate new AI technologies and methodologies.
- Ensure adherence to data privacy and security standards.
- 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 an architecture or lead role.
- Proven experience designing and deploying production-grade ML models.
- Expertise in cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn, etc.).
- Strong understanding of MLOps principles and tools.
- Excellent analytical, problem-solving, and communication skills.
- Demonstrated ability to lead technical projects in a remote environment.
Senior AI Solutions Architect, Machine Learning
Posted 5 days ago
Job Viewed
Job Description
The ideal candidate will possess a Master's or PhD in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field, along with substantial professional experience in AI/ML architecture and implementation. Proficiency in programming languages such as Python, Java, or Scala, and hands-on experience with major cloud platforms (AWS, Azure, GCP) and their AI/ML services are essential. You should have a strong understanding of ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps principles. Excellent problem-solving, communication, and stakeholder management skills are crucial for collaborating with clients and internal engineering teams. Experience in leading technical projects, mentoring junior engineers, and staying abreast of the latest advancements in AI research and technology is highly valued. This role demands a strategic thinker with a passion for leveraging artificial intelligence to solve complex business problems and drive digital transformation.
Key responsibilities:
- Design and architect end-to-end AI/ML solutions.
- Translate business requirements into technical specifications for AI systems.
- Develop and implement machine learning models and algorithms.
- Leverage cloud platforms for scalable AI deployments.
- Ensure the performance, scalability, and reliability of AI solutions.
- Collaborate with data scientists, engineers, and business stakeholders.
- Stay current with emerging AI technologies and best practices.
- Mentor junior AI engineers and architects.
Principal AI Solutions Architect - Machine Learning
Posted 5 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design and architect scalable, robust, and efficient AI/ML solutions.
- Develop and implement end-to-end machine learning models and pipelines.
- Select appropriate algorithms, tools, and technologies for AI projects.
- Collaborate with data scientists, engineers, and product managers to deliver AI-powered features.
- Provide technical leadership and guidance on AI/ML best practices.
- Evaluate and integrate emerging AI technologies into existing systems.
- Ensure the performance, accuracy, and ethical considerations of AI models.
- Present technical solutions and findings to stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Extensive experience in architecting and deploying machine learning solutions in production.
- Proficiency in Python and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong experience with cloud platforms (AWS, Azure, GCP) and related ML services.
- Expertise in areas like NLP, computer vision, deep learning, or predictive analytics.
- Excellent understanding of software engineering principles and MLOps.
- Strong analytical, problem-solving, and communication skills.
- Experience leading technical projects and mentoring team members.