Job summary
As a Head of AI Engineer, you will be responsible for designing, developing, and implementing AI-driven solutions that will shape the future of healthcare. You will have the opportunity to work independently and collaborate with cross-functional teams to create and deploy innovative applications, predictive models, and algorithms. The successful candidate will possess a strong technical background, exceptional problem-solving skills, a passion for leveraging AI to transform the healthcare landscape with experience of managing full project lifecycles from initiation to finalisation.
Main duties of the job
- Develop and deploy AI models and algorithms to solve complex healthcare problems, such as but not exclusive to disease diagnosis, treatment optimization, patient monitoring, and predictive analytics.
- Design and implement machine learning algorithms, natural language processing (NLP) models, computer vision systems, and other AI technologies to extract insights from diverse healthcare data sources.
- Collaborate with healthcare professionals, data scientists, and software engineers to define project requirements, understand user needs, and deliver AI-driven solutions that address specific healthcare challenges.
- Pre-process, clean, and analyse large datasets to extract meaningful patterns, trends, and insights that can be utilized for AI model training and validation.
- Conduct rigorous testing and evaluation of AI models to ensure accuracy, reliability, and performance in real-world healthcare environments.
- Stay up to date with the latest advancements in AI and healthcare technologies, and proactively identify opportunities for innovation and improvement.
- Communicate complex AI concepts and methodologies to non-technical stakeholders and provide guidance and support on the integration of AI solutions into existing healthcare systems.
About us
Tower Hamlets GP Care Group (The Care Group) was incorporated as a community interest company limited by shares in September 2014. Every general practice in Tower Hamlets owns one share of £1. The Care Group was formed to manage borough level contracts on behalf of the practices, deliver primary care led services and support general practices, and to be the provider voice of primary care in the wider health and social care system.
Read up more about Tower Hamlets here: http://www.towerhamlets.is/
The Care Group is also a member of Tower Hamlets Together, a place-based integrated partnership, which includes Bart's Health, East London NHS Foundation Trust, the London Borough of Tower Hamlets and the Council for Voluntary Services.
The key priorities for the Care Group are:
- Innovation and support for primary care
- Being a great place to work
- Integrating primary and community care
- Providing of high-quality cost-effective care to local people
- Influencing improvements in health outcomes
Job description
Job responsibilities
Aim of the role
As a Head of AI Engineer, you will be responsible for designing, developing, and implementing AI-driven solutions that will shape the future of healthcare. You will have the opportunity to work independently and collaborate with cross-functional teams to create and deploy innovative applications, predictive models, and algorithms. The successful candidate will possess a strong technical background, exceptional problem-solving skills, a passion for leveraging AI to transform the healthcare landscape with experience of managing full project life-cycles from initiation to finalisation.
Key working relationships
Internal
- All service delivery and departments heads
- ICT
- Finance
- HR
External
Key result areas
- Healthcare Outcome Improvement: improving healthcare outcomes by developing and implementing AI-driven solutions that enhance disease diagnosis, treatment optimization, patient monitoring, and predictive analytics. You will directly impact patient care and contribute to the overall improvement of healthcare services.
- Operational Efficiency Enhancement: streamline healthcare processes, such as data analysis, decision-making, and resource allocation. You will optimize workflows, reduce manual efforts, and improve operational efficiency within the healthcare company.
- Cost Reduction and Resource Optimization: enable cost reduction by automating tasks, reducing errors, and minimizing the need for manual interventions. By optimizing resource allocation and utilization, you will contribute to maximizing the efficiency of healthcare services while minimizing waste.
- Personalized Healthcare Delivery: contribute to the advancement of personalized healthcare. Your solutions will enable the delivery of tailored treatments and interventions based on individual patient characteristics, leading to more effective and patient-centric care.
- Data-Driven Insights and Decision Support: empower healthcare professionals with data-driven insights and decision support tools. By analysing and extracting valuable patterns and trends from healthcare data, you will provide actionable information that supports informed decision-making, improving patient care and treatment outcomes.
- Technological Innovation: drive technological innovation within the healthcare company. By staying updated with the latest advancements in AI and healthcare technologies, you will bring new ideas, methodologies, and techniques to enhance the company's AI capabilities and keep it at the forefront of AI-driven healthcare solutions.
Main duties and responsibilities
- Develop and deploy AI models and algorithms to solve complex healthcare problems, such as but not exclusive to disease diagnosis, treatment optimization, patient monitoring, and predictive analytics.
- Design and implement machine learning algorithms, natural language processing (NLP) models, computer vision systems, and other AI technologies to extract insights from diverse healthcare data sources.
- Collaborate with healthcare professionals, data scientists, and software engineers to define project requirements, understand user needs, and deliver AI-driven solutions that address specific healthcare challenges.
- Pre-process, clean, and analyse large datasets to extract meaningful patterns, trends, and insights that can be utilized for AI model training and validation.
- Conduct rigorous testing and evaluation of AI models to ensure accuracy, reliability, and performance in real-world healthcare environments.
- Stay up to date with the latest advancements in AI and healthcare technologies, and proactively identify opportunities for innovation and improvement.
- Communicate complex AI concepts and methodologies to non-technical stakeholders and provide guidance and support on the integration of AI solutions into existing healthcare systems.
Job description
Job responsibilities
Aim of the role
As a Head of AI Engineer, you will be responsible for designing, developing, and implementing AI-driven solutions that will shape the future of healthcare. You will have the opportunity to work independently and collaborate with cross-functional teams to create and deploy innovative applications, predictive models, and algorithms. The successful candidate will possess a strong technical background, exceptional problem-solving skills, a passion for leveraging AI to transform the healthcare landscape with experience of managing full project life-cycles from initiation to finalisation.
Key working relationships
Internal
- All service delivery and departments heads
- ICT
- Finance
- HR
External
Key result areas
- Healthcare Outcome Improvement: improving healthcare outcomes by developing and implementing AI-driven solutions that enhance disease diagnosis, treatment optimization, patient monitoring, and predictive analytics. You will directly impact patient care and contribute to the overall improvement of healthcare services.
- Operational Efficiency Enhancement: streamline healthcare processes, such as data analysis, decision-making, and resource allocation. You will optimize workflows, reduce manual efforts, and improve operational efficiency within the healthcare company.
- Cost Reduction and Resource Optimization: enable cost reduction by automating tasks, reducing errors, and minimizing the need for manual interventions. By optimizing resource allocation and utilization, you will contribute to maximizing the efficiency of healthcare services while minimizing waste.
- Personalized Healthcare Delivery: contribute to the advancement of personalized healthcare. Your solutions will enable the delivery of tailored treatments and interventions based on individual patient characteristics, leading to more effective and patient-centric care.
- Data-Driven Insights and Decision Support: empower healthcare professionals with data-driven insights and decision support tools. By analysing and extracting valuable patterns and trends from healthcare data, you will provide actionable information that supports informed decision-making, improving patient care and treatment outcomes.
- Technological Innovation: drive technological innovation within the healthcare company. By staying updated with the latest advancements in AI and healthcare technologies, you will bring new ideas, methodologies, and techniques to enhance the company's AI capabilities and keep it at the forefront of AI-driven healthcare solutions.
Main duties and responsibilities
- Develop and deploy AI models and algorithms to solve complex healthcare problems, such as but not exclusive to disease diagnosis, treatment optimization, patient monitoring, and predictive analytics.
- Design and implement machine learning algorithms, natural language processing (NLP) models, computer vision systems, and other AI technologies to extract insights from diverse healthcare data sources.
- Collaborate with healthcare professionals, data scientists, and software engineers to define project requirements, understand user needs, and deliver AI-driven solutions that address specific healthcare challenges.
- Pre-process, clean, and analyse large datasets to extract meaningful patterns, trends, and insights that can be utilized for AI model training and validation.
- Conduct rigorous testing and evaluation of AI models to ensure accuracy, reliability, and performance in real-world healthcare environments.
- Stay up to date with the latest advancements in AI and healthcare technologies, and proactively identify opportunities for innovation and improvement.
- Communicate complex AI concepts and methodologies to non-technical stakeholders and provide guidance and support on the integration of AI solutions into existing healthcare systems.
Person Specification
Qualifications
Essential
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Abilities
Essential
- Strong problem-solving abilities, leveraging expertise in machine learning algorithms and proficiency in programming languages to develop innovative AI solutions.
- Self-motivated and able to work independently with minimal supervision, while also collaborating effectively with cross-functional teams with the ability to demonstrate proficiency in overseeing project progress from conception to completion.
Other requirements
Essential
- Demonstrate a solid understanding of data pre-processing, statistical concepts, and model evaluation. Proficiency in deploying machine learning models to production environments Strong problem-solving skills, effective communication, and a commitment to staying updated with evolving AI technologies.
Experience
Essential
- Solid experience in developing AI models and algorithms, including machine learning, deep learning, NLP, and computer vision.
- Developing and implementing cutting edge AI solutions with demonstrable practical experience.
Knowledge
Essential
- Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NLTK).
Person Specification
Qualifications
Essential
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Abilities
Essential
- Strong problem-solving abilities, leveraging expertise in machine learning algorithms and proficiency in programming languages to develop innovative AI solutions.
- Self-motivated and able to work independently with minimal supervision, while also collaborating effectively with cross-functional teams with the ability to demonstrate proficiency in overseeing project progress from conception to completion.
Other requirements
Essential
- Demonstrate a solid understanding of data pre-processing, statistical concepts, and model evaluation. Proficiency in deploying machine learning models to production environments Strong problem-solving skills, effective communication, and a commitment to staying updated with evolving AI technologies.
Experience
Essential
- Solid experience in developing AI models and algorithms, including machine learning, deep learning, NLP, and computer vision.
- Developing and implementing cutting edge AI solutions with demonstrable practical experience.
Knowledge
Essential
- Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NLTK).
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
