1,547 Machine Learning Architect jobs in the United Kingdom
AI & Machine Learning Architect
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Design and architect end-to-end AI/ML solutions, from data ingestion and preprocessing to model deployment and monitoring.
- Select appropriate machine learning algorithms and frameworks for specific business problems.
- Develop and implement robust data pipelines for training and inference.
- Oversee the development and optimisation of machine learning models, including deep learning models.
- Deploy AI/ML models into production environments, ensuring scalability, reliability, and performance.
- Collaborate with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical solutions.
- Evaluate and recommend new AI/ML technologies, tools, and platforms.
- Define and implement MLOps strategies for model lifecycle management.
- Ensure the security, privacy, and ethical considerations of AI/ML systems.
- Provide technical leadership and guidance to AI/ML development teams.
- Stay abreast of the latest research and advancements in AI, machine learning, and related fields.
- Troubleshoot and resolve complex technical issues related to AI/ML systems.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development and architecture, with a strong focus on applied machine learning.
- Extensive experience with Python and core ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Proven experience designing and deploying large-scale ML systems in cloud environments (AWS, Azure, GCP).
- Deep understanding of various machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
- Experience with MLOps tools and best practices.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with data governance and ethical AI principles.
AI & Machine Learning Lead Architect
Posted 3 days ago
Job Viewed
Job Description
We are looking for a seasoned professional with a proven track record of designing and deploying complex AI/ML systems in production environments. You will possess extensive experience with various machine learning techniques, including supervised, unsupervised, and reinforcement learning, as well as expertise in areas such as natural language processing (NLP), computer vision, and predictive modelling. The ideal candidate will have strong coding skills in languages like Python, proficiency with ML frameworks (e.g., TensorFlow, PyTorch), and experience with cloud platforms (e.g., AWS, Azure, GCP). Excellent communication and collaboration skills are essential for working with cross-functional teams, stakeholders, and mentoring junior engineers. You will play a key role in shaping our AI strategy and driving technological innovation.
Key Responsibilities:
- Design and architect scalable, high-performance AI/ML systems and platforms.
- Define the technical vision and roadmap for AI and machine learning initiatives.
- Evaluate and select appropriate AI/ML algorithms, tools, and technologies.
- Oversee the development and deployment of machine learning models into production.
- Collaborate with data scientists and engineers to build and train ML models.
- Ensure the integration of AI/ML solutions with existing systems and infrastructure.
- Provide technical leadership and guidance to AI/ML development teams.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
- Develop and implement best practices for MLOps, model monitoring, and performance optimisation.
- Contribute to the development of AI strategy and identify new opportunities for AI application.
- Communicate complex technical concepts to both technical and non-technical audiences.
- Manage technical risks and ensure the security and reliability of AI systems.
- Mentor and coach junior engineers and data scientists.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 7+ years of experience in AI/ML development, with a significant portion in architectural or lead roles.
- Proven experience in designing and deploying end-to-end AI/ML solutions.
- Deep understanding of various ML algorithms, deep learning architectures, and statistical modelling.
- Proficiency in programming languages such as Python, R, or Scala.
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Strong knowledge of MLOps principles and tools.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership, communication, and interpersonal skills.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with NLP, computer vision, or reinforcement learning is desirable.
AI Solutions Architect - Machine Learning
Posted 7 days ago
Job Viewed
Job Description
Your role will involve collaborating with clients and internal teams to understand their business needs and translate them into effective AI and Machine Learning strategies. You will design end-to-end AI solutions, including data pipelines, model training architectures, deployment strategies, and monitoring systems. This requires expert knowledge of various ML algorithms, deep learning techniques, and their practical applications across different industries. You will be responsible for evaluating and selecting appropriate AI/ML tools and technologies, and ensuring the solutions are secure, efficient, and cost-effective. The AI Solutions Architect will provide technical leadership, guide development teams, and act as a trusted advisor to clients on all aspects of AI implementation. You will also stay abreast of the latest advancements in AI research and development, identifying new opportunities and advocating for best practices. The ability to communicate complex technical concepts clearly and persuasively to both technical and non-technical audiences is essential. This role demands strong problem-solving skills and a passion for driving innovation through artificial intelligence.
Qualifications: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Extensive experience designing and implementing production-level AI/ML solutions. Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, scikit-learn. Strong experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services. Knowledge of MLOps practices and tools is highly desirable. Excellent communication, presentation, and interpersonal skills, with the ability to work effectively in a remote, collaborative environment. If you are an AI pioneer passionate about building the future, this role is an exceptional opportunity.
AI Solutions Architect - Machine Learning
Posted 12 days ago
Job Viewed
Job Description
Responsibilities:
- Design end-to-end AI/ML solutions, including data pipelines, model training, deployment, and monitoring.
- Architect scalable and resilient machine learning infrastructure on cloud platforms (AWS, Azure, GCP).
- Evaluate and select appropriate AI/ML algorithms and frameworks for specific business problems.
- Collaborate with data scientists to operationalize machine learning models into production environments.
- Provide technical leadership and guidance to development teams throughout the project lifecycle.
- Develop proofs-of-concept and prototypes to validate AI/ML solution designs.
- Translate business requirements into technical specifications and architectural blueprints.
- Stay abreast of the latest advancements in AI, machine learning, deep learning, and related technologies.
- Communicate complex technical concepts and solutions effectively to both technical and non-technical stakeholders.
- Contribute to the development of best practices and standards for AI/ML development and deployment.
- Master's or PhD degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
- Minimum of 7 years of experience in software development or solutions architecture, with at least 4 years focused on AI/ML.
- Proven experience designing and implementing production-grade ML systems.
- Strong understanding of various machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and their applications.
- Hands-on experience with AI/ML platforms and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in cloud computing environments (AWS, Azure, GCP) and associated AI/ML services.
- Excellent programming skills in Python and experience with related data science tools.
- Strong understanding of data engineering principles and MLOps practices.
- Exceptional problem-solving, analytical, and communication skills.
- Experience working in London, England, UK is advantageous, but the role offers hybrid flexibility.
AI Solutions Architect - Machine Learning
Posted 20 days ago
Job Viewed
Job Description
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.
Lead AI Architect - Machine Learning Platforms
Posted 19 days ago
Job Viewed
Job Description
Principal AI Solutions Architect - Machine Learning
Posted 7 days ago
Job Viewed
Job Description
Responsibilities:
- Design and architect end-to-end AI and Machine Learning solutions for enterprise clients.
- Lead the technical strategy and roadmap for AI initiatives.
- Select and implement appropriate AI/ML models, algorithms, and frameworks.
- Oversee the development of scalable ML pipelines and infrastructure.
- Ensure seamless integration of AI solutions with client systems and platforms.
- Collaborate with data scientists, engineers, and product managers to deliver AI products.
- Stay abreast of emerging AI technologies and trends, recommending adoption where appropriate.
- Provide technical leadership and mentorship to AI/ML engineering teams.
- Engage with clients to understand requirements and present technical solutions.
- Drive best practices in MLOps, model governance, and AI ethics.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of experience in AI/ML development, with at least 5 years in an architecture or lead role.
- Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and ML libraries.
- Proven expertise in cloud platforms (AWS, Azure, GCP) and AI/ML services.
- Strong understanding of data engineering, MLOps, and CI/CD for ML.
- Experience with NLP, computer vision, or recommendation systems.
- Excellent leadership, communication, and presentation skills.
- Ability to translate business problems into viable AI solutions.
- Experience in consulting or client-facing roles is highly desirable.
Be The First To Know
About the latest Machine learning architect Jobs in United Kingdom !
Lead AI Solutions Architect (Machine Learning)
Posted 18 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the architectural design and development of machine learning models, pipelines, and AI-driven applications.
- Translate complex business problems into scalable AI/ML solutions, identifying appropriate algorithms and technologies.
- Define best practices for AI/ML development, deployment, and operationalization (MLOps).
- Evaluate and recommend AI/ML platforms, tools, and frameworks to meet project and organizational needs.
- Collaborate with data engineers to ensure data quality, availability, and governance for AI initiatives.
- Provide technical leadership and mentorship to data science and engineering teams.
- Develop proof-of-concepts (PoCs) and prototypes to demonstrate the viability of AI solutions.
- Oversee the integration of AI/ML components into existing enterprise systems and applications.
- Stay abreast of the latest advancements in AI, machine learning, deep learning, and related fields.
- Communicate technical strategies and solutions effectively to both technical and non-technical stakeholders.
- Ensure security, scalability, and performance of AI solutions throughout their lifecycle.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development, with at least 3 years in an architectural or lead role.
- Proven track record of designing and deploying successful machine learning models and AI systems in production environments.
- Deep understanding of various ML algorithms (e.g., regression, classification, clustering, deep learning) and their applications.
- Proficiency in programming languages commonly used in AI/ML (e.g., Python, R, Java, Scala) and relevant libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model management.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
- Experience in developing AI strategies and roadmaps.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
Lead AI Solutions Architect - Machine Learning
Posted 20 days ago
Job Viewed
Job Description
Key Responsibilities:
- Architect and design scalable, robust AI and Machine Learning solutions leveraging cloud platforms (AWS, Azure, GCP).
- Lead the development lifecycle of AI models, from conceptualization and data preprocessing to deployment and monitoring.
- Collaborate with stakeholders to understand business requirements and translate them into technical AI strategies.
- Provide technical leadership and mentorship to AI/ML engineers and data scientists.
- Evaluate and recommend emerging AI technologies and tools to enhance our service offerings.
- Develop proof-of-concepts and prototypes to demonstrate the feasibility of AI solutions.
- Ensure the ethical and responsible development and deployment of AI systems.
- Optimize ML models for performance, efficiency, and scalability.
- Contribute to the company's intellectual property through research and innovation.
- Document architectural designs, technical specifications, and best practices.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Extensive experience in architecting and implementing AI/ML solutions in production environments.
- Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong experience with cloud computing platforms (AWS, Azure, or GCP) and their AI/ML services.
- Excellent understanding of statistical modeling, data mining, and machine learning algorithms.
- Proven experience leading technical teams and projects.
- Exceptional problem-solving abilities and analytical skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- Experience with MLOps practices and tools is a plus.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is advantageous.
AI Solutions Architect - Cloud & Machine Learning
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Collaborate with stakeholders to understand business needs and define AI/ML project objectives.
- Design end-to-end AI and machine learning solutions, encompassing data ingestion, processing, model training, deployment, and monitoring.
- Architect scalable and resilient cloud infrastructure on platforms like AWS, Azure, or GCP, leveraging services such as SageMaker, Azure ML, or Vertex AI.
- Develop MLOps strategies for efficient model deployment, versioning, and continuous integration/continuous deployment (CI/CD).
- Select appropriate AI/ML algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) based on project requirements.
- Provide technical leadership and guidance to data scientists and engineers throughout the project lifecycle.
- Evaluate and recommend new AI technologies and tools to enhance solution offerings.
- Develop proof-of-concepts and prototypes to demonstrate the value of AI solutions.
- Ensure solutions are secure, compliant, and meet performance and scalability requirements.
- Communicate technical concepts and project status effectively to both technical and non-technical audiences.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Proven experience (5+ years) in designing and implementing AI/ML solutions in a production environment.
- In-depth knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Strong understanding of MLOps best practices and tools.
- Proficiency in programming languages such as Python, and experience with ML libraries and frameworks.
- Excellent understanding of data architecture, data warehousing, and big data technologies.
- Strong analytical and problem-solving abilities.
- Exceptional communication and presentation skills.
- Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Demonstrated ability to lead technical discussions and influence decision-making.
This is a fully remote position, allowing you to contribute from anywhere within the UK, while collaborating with a talented, globally distributed team.