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6,814 Lead AI Engineer jobs in the United Kingdom

Remote Lead AI Engineer - Machine Learning & Deep Learning

G2 1JQ Glasgow, Scotland £80000 Annually WhatJobs

Posted 10 days ago

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Job Description

full-time

Our client is seeking a highly skilled and visionary Lead AI Engineer to spearhead their advanced AI initiatives. This is a fully remote position, offering the opportunity to work on cutting-edge projects from anywhere. You will be responsible for designing, developing, and deploying sophisticated machine learning and deep learning models that drive innovation across our product portfolio. This role requires a strong theoretical foundation in AI, extensive practical experience in model development and deployment, and exceptional leadership qualities. You will lead a team of talented AI engineers, guiding them through the entire lifecycle of AI product development, from conceptualization to production.

Key responsibilities will include:

Leading the design, development, and implementation of advanced AI and machine learning solutions.
Building, training, and optimizing deep learning models for various applications, including natural language processing, computer vision, and predictive analytics.
Developing and maintaining robust ML pipelines for data preprocessing, model training, evaluation, and deployment.
Collaborating with product managers and stakeholders to define AI strategy and roadmap.
Mentoring and guiding a team of AI and ML engineers, fostering a culture of innovation and technical excellence.
Researching and evaluating emerging AI technologies and techniques to identify new opportunities.
Ensuring the scalability, performance, and reliability of AI systems in production.
Developing and implementing best practices for MLOps, including model versioning, monitoring, and continuous integration/deployment.
Communicating complex technical concepts to both technical and non-technical audiences.
Contributing to the company's intellectual property through publications and patents.

The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a minimum of 7 years of experience in AI/ML development. Proven experience leading technical teams and delivering complex AI projects from inception to completion is essential. Expertise in popular ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and programming languages (Python) is required. Strong knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Excellent analytical, problem-solving, and communication skills are a must. This is an unparalleled opportunity to shape the future of AI and lead transformative projects in a dynamic, remote-first environment.

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Remote Lead AI Engineer - Deep Learning

L1 0AB Liverpool, North West £70000 Annually WhatJobs

Posted 1 day ago

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Job Description

full-time

Our client is seeking a highly skilled and visionary Lead AI Engineer specializing in Deep Learning to join their globally distributed, remote-first team. This pivotal role will involve leading the design, development, and deployment of cutting-edge AI models and solutions that drive innovation across our product suite. You will be instrumental in shaping the technical direction of our AI initiatives, mentoring junior engineers, and collaborating with cross-functional teams to translate complex business problems into scalable AI-powered applications. If you are passionate about pushing the boundaries of artificial intelligence and thrive in a collaborative, remote working environment, this is the perfect opportunity for you.

Key Responsibilities:

Lead the architecture, development, and implementation of advanced deep learning models for various applications (e.g., NLP, computer vision, reinforcement learning).
Design and oversee the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment.
Mentor and guide a team of AI/ML engineers, fostering a culture of technical excellence and continuous learning.
Collaborate with product managers, data scientists, and software engineers to define AI product roadmaps and requirements.
Research and stay abreast of the latest advancements in AI, machine learning, and deep learning, evaluating and integrating new technologies as appropriate.
Develop robust and scalable MLOps pipelines for efficient model deployment, monitoring, and retraining.
Write clean, well-documented, and maintainable code in Python and relevant AI/ML frameworks.
Contribute to the strategic vision for AI and machine learning within the organization.
Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
Ensure the ethical and responsible development and deployment of AI systems.
Troubleshoot and optimize AI models and systems for performance, scalability, and reliability.

Qualifications and Skills:

Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
Significant experience in designing, building, and deploying deep learning models in production environments.
Proficiency in Python and major ML frameworks such as TensorFlow, PyTorch, or Keras.
Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
Strong understanding of algorithms, data structures, and software engineering best practices.
Proven experience in leading technical teams and projects.
Excellent problem-solving, analytical, and critical thinking skills.
Exceptional communication and collaboration skills, with the ability to work effectively in a remote setting.
Experience with MLOps tools and practices is highly desirable.

This advertiser has chosen not to accept applicants from your region.

Lead AI Engineer - Machine Learning

SW1A 0AA London, London £90000 Annually WhatJobs

Posted 4 days ago

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Job Description

full-time

Our client is at the forefront of innovation and is seeking a Lead AI Engineer specializing in Machine Learning to join their pioneering, fully remote team. This is a high-impact role where you will be responsible for leading the development and deployment of advanced AI and ML models that drive critical business outcomes. You will guide a talented team, mentor junior engineers, and collaborate with researchers and product managers to translate complex challenges into cutting-edge AI solutions. This fully remote position offers the ultimate flexibility to work from anywhere within the UK.

Key Responsibilities:

Lead the design, development, training, and deployment of sophisticated machine learning models.
Architect scalable and efficient AI/ML pipelines for data processing, model training, and inference.
Mentor and guide a team of AI/ML engineers, fostering a collaborative and innovative environment.
Collaborate with data scientists, product managers, and stakeholders to define project requirements and deliver impactful AI solutions.
Stay abreast of the latest advancements in AI, machine learning, deep learning, and related fields.
Implement best practices for model evaluation, versioning, monitoring, and MLOps.
Develop and maintain robust data infrastructure and frameworks supporting AI/ML initiatives.
Contribute to the strategic direction of the company's AI roadmap and innovation efforts.
Research and experiment with new algorithms, techniques, and tools to push the boundaries of AI capabilities.
Ensure the ethical development and deployment of AI systems, considering fairness, transparency, and accountability.

The ideal candidate will possess a strong academic background in Computer Science, AI, Machine Learning, or a related field, coupled with significant practical experience in leading AI/ML projects. Proven expertise in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is essential. Exceptional problem-solving skills, a deep understanding of algorithms, and experience with MLOps practices are required. You must be an excellent communicator, capable of articulating complex technical concepts to diverse audiences, and thrive in a fully remote, collaborative work environment. This is a unique opportunity to shape the future of AI within a dynamic and forward-thinking organisation, working on challenging problems with a team of passionate experts. Your leadership will be instrumental in driving the adoption of AI across our client's services.

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Lead AI Engineer - Machine Learning

BS1 4DG Bristol, South West £70000 Annually WhatJobs

Posted 8 days ago

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Job Description

full-time

Our client is at the forefront of innovation and is seeking a highly skilled and visionary Lead AI Engineer to spearhead their Machine Learning initiatives. This is a fully remote position, ideal for an experienced professional looking to make a significant impact in the field of AI and emerging technologies. You will be responsible for designing, developing, and deploying advanced machine learning models and algorithms that solve complex business problems and drive technological advancements. This role requires a deep understanding of ML frameworks, data science principles, and a passion for pushing the boundaries of AI.

Key Responsibilities:

Lead the design, development, and implementation of cutting-edge machine learning models and AI solutions.
Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define project requirements and objectives.
Oversee the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment.
Research and evaluate new AI technologies, algorithms, and methodologies to ensure our client remains at the forefront of innovation.
Mentor and guide junior AI engineers and data scientists, fostering a collaborative and high-performing team environment.
Develop strategies for scaling ML models and infrastructure to handle large datasets and high-volume applications.
Ensure the ethical and responsible development and deployment of AI systems.
Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
Contribute to the company's intellectual property through patents and publications where applicable.
Stay current with the latest advancements in AI, machine learning, deep learning, and related fields.

This is a fully remote opportunity, allowing you to work from anywhere within the UK. Our client offers a dynamic, forward-thinking work culture and provides the tools and support necessary for remote success. The ideal candidate will possess a Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field, coupled with extensive experience in building and deploying production-level ML systems. Proficiency in programming languages such as Python, experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn), and cloud platforms (e.g., AWS, Azure, GCP) are essential. If you are a passionate AI leader eager to shape the future of technology in a remote-first environment, we strongly encourage you to apply.

This advertiser has chosen not to accept applicants from your region.

Lead AI Engineer (Machine Learning)

EH1 1BU Edinburgh, Scotland £70000 Annually WhatJobs

Posted 13 days ago

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Job Description

full-time

Our client, a cutting-edge technology firm at the forefront of AI innovation, is looking for a talented and experienced Lead AI Engineer specializing in Machine Learning to join their dynamic team in Edinburgh, Scotland, UK . This hybrid role offers a blend of collaborative in-office work and remote flexibility. You will be instrumental in designing, developing, and deploying advanced machine learning models and AI solutions that address complex business challenges and drive product innovation. Responsibilities include leading the end-to-end ML lifecycle, from data gathering and preprocessing to model training, evaluation, and deployment into production environments. You will mentor junior engineers, collaborate with cross-functional teams (including data scientists, software engineers, and product managers), and contribute to architectural decisions. The ideal candidate will possess a strong background in computer science, artificial intelligence, or a related field, with significant experience in developing and implementing ML models using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn). Proven expertise in areas such as deep learning, natural language processing, computer vision, or reinforcement learning is highly desirable. Excellent problem-solving skills, a deep understanding of algorithms, and strong software engineering best practices are essential. You should be comfortable working with large datasets and distributed computing frameworks. The ability to translate complex technical concepts into clear communication for stakeholders is also crucial. This is an exciting opportunity to work on groundbreaking AI projects, contribute to the growth of a pioneering company, and shape the future of artificial intelligence.

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Lead AI/ML Engineer - Deep Learning

CF10 1BR Cardiff, Wales £80000 Annually WhatJobs

Posted 7 days ago

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Job Description

full-time

Our client, a cutting-edge AI research and development firm, is seeking an accomplished Lead AI/ML Engineer to spearhead their deep learning initiatives. This is a fully remote position, offering a unique opportunity to work with a globally distributed team of experts pushing the boundaries of artificial intelligence. You will be instrumental in designing, developing, and deploying advanced machine learning models, with a specific focus on deep learning architectures for complex problem-solving across various domains. Your responsibilities will include leading research projects, architecting scalable ML systems, implementing and training sophisticated neural networks, and evaluating model performance. You will also play a key role in mentoring junior engineers, contributing to the company's technical strategy, and staying at the forefront of AI research advancements. A strong foundation in mathematics, statistics, and computer science is essential, alongside extensive hands-on experience with popular deep learning frameworks such as TensorFlow, PyTorch, or Keras. Expertise in areas like natural language processing (NLP), computer vision, or reinforcement learning is highly desirable. The ideal candidate will possess excellent programming skills (Python preferred), a proven ability to translate business requirements into technical solutions, and strong leadership qualities. A Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, coupled with at least 7 years of experience in AI/ML development, including significant experience leading projects, is required. If you are a visionary AI engineer passionate about innovation and eager to make a significant impact from a remote setting, we invite you to join our dynamic team.

Responsibilities:

Lead the design, development, and implementation of advanced deep learning models.
Architect and build scalable machine learning systems and pipelines.
Conduct research and experimentation to identify novel AI solutions.
Train, evaluate, and deploy deep learning models using state-of-the-art techniques.
Mentor and guide junior AI/ML engineers and researchers.
Collaborate with cross-functional teams to define project requirements and deliverables.
Stay current with the latest advancements in AI, deep learning, and related fields.
Contribute to the company's AI strategy and roadmap.
Publish research findings and present work at industry conferences (optional).

Qualifications:

MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Minimum of 7 years of professional experience in AI/ML development, with a strong focus on deep learning.
Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
Proficiency in Python and relevant ML libraries (e.g., Scikit-learn, NumPy, Pandas).
Experience in areas such as NLP, Computer Vision, or Reinforcement Learning.
Strong understanding of algorithms, data structures, and software engineering best practices.
Proven ability to lead technical projects and mentor teams.
Excellent problem-solving and analytical skills.
Strong communication and presentation skills for remote collaboration.

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Lead AI Engineer - Machine Learning Specialisation

OX1 2HG Oxford, South East £80000 Annually WhatJobs

Posted 1 day ago

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Job Description

full-time

Our client is seeking a visionary and highly skilled Lead AI Engineer with a specialisation in Machine Learning to join their pioneering team in Oxford, Oxfordshire, UK . This role is at the forefront of innovation, driving the development and deployment of advanced AI solutions that tackle complex real-world problems. You will be instrumental in leading projects from concept through to production, utilising state-of-the-art machine learning techniques and deep learning frameworks. Your responsibilities will include designing robust ML architectures, developing predictive models, implementing scalable AI pipelines, and collaborating closely with data scientists and software engineers to integrate AI capabilities into existing and new products. The ideal candidate will possess a profound understanding of various ML algorithms, statistical modelling, and data science principles. Experience with popular ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud AI platforms (e.g., AWS SageMaker, Azure ML) is essential. You will also be responsible for mentoring junior AI engineers, guiding technical decisions, and staying abreast of the latest advancements in the field. This role offers a Hybrid working model, balancing essential in-person collaboration and R&D activities with the flexibility of remote work for deep development and analysis. Qualifications include a Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with significant industry experience in developing and deploying ML models in production environments. Proven leadership experience and exceptional problem-solving abilities are crucial. Strong communication skills are required to articulate complex technical concepts to both technical and non-technical audiences. If you are passionate about pushing the boundaries of AI and making a significant impact through intelligent systems, we invite you to apply for this exciting opportunity in one of the UK's leading innovation hubs.

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Lead AI Engineer, Machine Learning Infrastructure

OX1 1AA Oxford, South East £90000 Annually WhatJobs

Posted 4 days ago

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Job Description

full-time

Our client, a cutting-edge technology firm at the forefront of AI & Emerging Technologies, is searching for a Lead AI Engineer to spearhead the development of their machine learning infrastructure. This role is fully remote, offering the flexibility to work from your preferred UK location and contribute to groundbreaking AI projects.

As the Lead AI Engineer, you will be instrumental in designing, building, and maintaining scalable and robust machine learning platforms and pipelines. You will collaborate with data scientists and software engineers to deploy, monitor, and optimize ML models in production environments. Your expertise will be crucial in areas such as MLOps, model deployment strategies, distributed training, and feature engineering at scale. You will guide the team in adopting best practices and innovative solutions to accelerate the AI development lifecycle.

Key responsibilities include:

Designing and implementing production-grade machine learning pipelines and infrastructure.
Developing and managing MLOps workflows, including CI/CD for ML models.
Optimizing model training and inference performance using distributed computing and cloud technologies.
Collaborating with data scientists to deploy, monitor, and maintain ML models in production.
Implementing robust data management and feature stores for ML applications.
Ensuring the scalability, reliability, and security of the AI infrastructure.
Researching and integrating new AI and ML technologies and tools.
Mentoring junior engineers and promoting knowledge sharing within the team.
Troubleshooting complex ML system issues and implementing solutions.
Documenting architectural decisions and best practices.

We are seeking a candidate with a strong background in software engineering and a deep understanding of machine learning principles and practices. Proven experience with MLOps tools and frameworks (e.g., Kubeflow, MLflow, Seldon Core), containerization (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP) is essential. Proficiency in Python and experience with deep learning frameworks (TensorFlow, PyTorch) are required. Excellent problem-solving skills, strong communication abilities, and a passion for building cutting-edge AI systems are vital. Experience in leading technical projects or teams is highly desirable. This is a fantastic opportunity for a seasoned AI Engineer to drive innovation from Oxford, Oxfordshire, UK .

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Lead AI Engineer - Machine Learning Operations

DE1 2DB Derby, East Midlands £80000 Annually WhatJobs

Posted 7 days ago

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Job Description

full-time

Our client is a cutting-edge firm at the forefront of AI and Emerging Technologies, committed to pushing the boundaries of what's possible. We are looking for a highly skilled and experienced Lead AI Engineer to spearhead our Machine Learning Operations (MLOps) initiatives. This role offers a dynamic hybrid working model, combining essential on-site collaboration in Derby, Derbyshire, UK , with the flexibility of remote work. You will be responsible for designing, building, and maintaining robust, scalable, and efficient MLOps pipelines, ensuring the seamless deployment, monitoring, and management of machine learning models in production environments. This position is critical to accelerating our AI development lifecycle and maximizing the impact of our machine learning solutions.

Key Responsibilities:

Design, implement, and manage end-to-end MLOps pipelines for machine learning model development, deployment, and monitoring.
Develop and maintain CI/CD (Continuous Integration/Continuous Deployment) pipelines for machine learning models.
Collaborate with data scientists and software engineers to streamline the model lifecycle, from experimentation to production.
Implement robust monitoring and alerting systems for ML models in production to detect drift, performance degradation, and anomalies.
Manage and optimize cloud infrastructure for ML workloads (e.g., AWS, Azure, GCP).
Develop and enforce best practices for model versioning, testing, and reproducibility.
Automate processes related to data preprocessing, feature engineering, model training, and evaluation.
Ensure the scalability, reliability, and security of our AI systems.
Stay abreast of the latest advancements in MLOps, AI, and related technologies.
Mentor junior engineers and contribute to a culture of technical excellence.

The ideal candidate will possess a Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field, with a minimum of 5 years of experience in machine learning engineering or MLOps. Proven experience in building and managing MLOps pipelines, including CI/CD, model deployment, and monitoring, is essential. Strong proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow or PyTorch, are required. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is crucial. Excellent problem-solving skills, a deep understanding of software engineering best practices, and strong communication abilities are necessary. If you are a passionate AI leader looking to drive innovation in MLOps and contribute to groundbreaking AI projects, we encourage you to apply.

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Lead AI Engineer - Machine Learning Operations

SR1 2AY Sunderland, North East £75000 Annually WhatJobs

Posted 8 days ago

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Job Description

full-time

Our client, a pioneer in AI and emerging technologies, is seeking an experienced Lead AI Engineer specializing in Machine Learning Operations (MLOps) to join their cutting-edge research and development team. This role is based in our state-of-the-art facility in Sunderland, Tyne and Wear, UK . You will be responsible for building, deploying, and maintaining robust, scalable machine learning systems. This is a fantastic opportunity to work on transformative AI projects and influence the future of the industry.

Responsibilities:

Design, implement, and manage end-to-end MLOps pipelines for training, deployment, monitoring, and retraining of machine learning models.
Develop and maintain infrastructure for machine learning workloads, including cloud-based solutions (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Collaborate closely with data scientists and software engineers to ensure seamless integration of ML models into production systems.
Implement best practices for version control, testing, and CI/CD for machine learning projects.
Monitor model performance in production, identify drift, and implement strategies for continuous improvement.
Automate ML workflows to improve efficiency and reliability.
Ensure the scalability, security, and reliability of AI infrastructure.
Stay current with the latest advancements in MLOps, AI, and machine learning technologies.
Mentor junior engineers and contribute to the technical direction of the team.

Qualifications:

Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
Minimum of 7 years of experience in software engineering with a strong focus on machine learning and MLOps.
Proven experience in deploying and managing ML models in production environments.
Expertise in cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes).
Proficiency in programming languages such as Python, and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Solid understanding of MLOps tools and frameworks (e.g., MLflow, Kubeflow, Seldon Core).
Experience with CI/CD pipelines and infrastructure as code (IaC).
Excellent problem-solving, analytical, and communication skills.
Strong leadership capabilities and experience mentoring technical teams.

This is a pivotal role for an individual passionate about operationalizing AI and driving innovation. If you are ready to shape the future of AI deployment, apply now.

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6,814 Lead AI Engineer jobs in the United Kingdom

Remote Lead AI Engineer - Machine Learning & Deep Learning

Job Description

Remote Lead AI Engineer - Deep Learning

Job Description

Lead AI Engineer - Machine Learning

Job Description

Lead AI Engineer - Machine Learning

Job Description

Lead AI Engineer (Machine Learning)

Job Description

Lead AI/ML Engineer - Deep Learning

Job Description

Lead AI Engineer - Machine Learning Specialisation

Job Description

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Lead AI Engineer, Machine Learning Infrastructure

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Lead AI Engineer - Machine Learning Operations

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Lead AI Engineer - Machine Learning Operations

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