15 Technological Advancements jobs in the United Kingdom
Lead AI Engineer - Emerging Technologies
Posted today
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Job Description
Responsibilities:
- Lead the design, development, and deployment of advanced AI and machine learning models.
- Develop and implement strategies for cutting-edge AI research and development.
- Oversee the full lifecycle of AI projects, from data acquisition and preprocessing to model training, evaluation, and deployment.
- Build and mentor a high-performing team of AI engineers.
- Evaluate and integrate emerging AI technologies and methodologies.
- Collaborate with cross-functional teams to define AI requirements and deliver solutions.
- Ensure the scalability, robustness, and ethical considerations of AI systems.
- Manage MLOps practices for efficient model deployment and monitoring.
- Present AI strategies and findings to senior leadership and stakeholders.
- Drive innovation and foster a culture of continuous learning within the AI team.
- MSc 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 2 years in a lead or management role.
- Proven expertise in deep learning frameworks (TensorFlow, PyTorch), NLP, computer vision, or reinforcement learning.
- Strong programming skills in Python and experience with relevant libraries (e.g., scikit-learn, pandas, NumPy).
- Experience with cloud AI platforms (AWS SageMaker, Azure ML, Google AI Platform).
- Solid understanding of MLOps principles and tools.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent leadership, communication, and problem-solving skills.
- Ability to translate complex technical concepts into business value.
AI/ML Engineer - Emerging Technologies
Posted 1 day ago
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Job Description
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms for various applications.
- Process, clean, and analyze large datasets to extract meaningful insights and prepare data for model training.
- Build and optimize predictive models, including deep learning architectures, natural language processing (NLP), and computer vision.
- Deploy AI/ML models into production environments, ensuring scalability, reliability, and performance.
- Collaborate with software engineers and data scientists to integrate AI solutions into existing products and services.
- Conduct research into new AI techniques and technologies, and evaluate their potential application.
- Develop and maintain code, documentation, and testing protocols for AI/ML projects.
- Monitor and evaluate the performance of deployed models, iterating and improving them over time.
- Stay up-to-date with the latest research and advancements in the field of AI and machine learning.
- A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field. A PhD is a plus.
- Minimum of 3-5 years of hands-on experience in developing and deploying machine learning models.
- Proficiency in programming languages such as Python, R, or Java, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with cloud platforms (AWS, Azure, GCP) for ML deployment is highly desirable.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts clearly.
- Proven ability to work independently and manage projects effectively in a remote setting.
- Experience with MLOps principles and practices is a significant advantage.
Graduate Data Analyst - Emerging Technologies
Posted 1 day ago
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Job Description
Key Responsibilities:
- Collect, clean, and process large datasets from various sources.
- Perform data analysis to identify trends, patterns, and anomalies.
- Develop reports, dashboards, and visualizations to communicate findings effectively.
- Assist in the development of data models and algorithms.
- Support business units in understanding their data and making data-driven recommendations.
- Collaborate with senior analysts on research projects and data quality initiatives.
- Contribute to the maintenance and improvement of data infrastructure.
- Participate in team meetings and training sessions.
- Gain hands-on experience with various data analysis tools and technologies.
- Help prepare presentations and documentation for stakeholders.
Qualifications:
- Recent graduate with a degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong understanding of statistical concepts and data analysis techniques.
- Proficiency in data manipulation and analysis using tools like Excel, SQL, and potentially Python or R.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Good communication and presentation skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work collaboratively within a team.
- A genuine interest in data and its application to business problems.
AI Solutions Architect - Emerging Technologies
Posted 2 days ago
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Job Description
Key Responsibilities:
- Design and architect end-to-end AI and Machine Learning solutions for clients, encompassing data pipelines, model deployment, and operationalization.
- Collaborate with stakeholders to gather business requirements and translate them into technical specifications and architectural blueprints.
- Evaluate and select appropriate AI/ML technologies, platforms, and tools to meet project objectives.
- Define cloud-based infrastructure requirements for AI solutions (e.g., AWS, Azure, GCP), ensuring scalability, security, and cost-effectiveness.
- Develop proofs-of-concept and prototypes to demonstrate the feasibility of proposed AI solutions.
- Provide technical leadership and guidance to development teams throughout the project lifecycle.
- Ensure the integration of AI solutions with existing enterprise systems and applications.
- Assess risks and challenges associated with AI implementations and develop mitigation strategies.
- Stay current with the latest advancements in AI, machine learning, and cloud technologies, and advocate for their adoption where appropriate.
- Develop and maintain architectural documentation, standards, and best practices for AI solutions.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- Minimum of 8 years of experience in software architecture, solutions design, or engineering, with a strong focus on AI/ML solutions.
- Proven experience in designing and implementing AI/ML models and platforms in production environments.
- Extensive knowledge of cloud computing platforms (AWS, Azure, GCP) and their AI/ML services.
- Proficiency in programming languages commonly used in AI/ML (e.g., Python, Java, Scala).
- Familiarity with MLOps principles and tools for managing the ML lifecycle.
- Strong understanding of data architecture, data governance, and data security principles.
- Excellent communication, presentation, and interpersonal skills, with the ability to influence technical and business stakeholders.
- Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Ability to work independently and thrive in a remote, fast-paced environment.
AI Research Scientist - Emerging Technologies
Posted 4 days ago
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Job Description
Key Responsibilities:
- Conduct research into advanced AI algorithms, machine learning models, and emerging AI paradigms.
- Design and implement experiments to test and validate AI hypotheses and models.
- Analyze large datasets to extract insights and develop predictive models.
- Develop and prototype new AI-driven features and solutions.
- Collaborate with engineering teams to integrate research findings into product development.
- Stay abreast of the latest academic research and industry trends in AI and related fields.
- Publish research findings in reputable conferences and journals.
- Present research proposals and results to technical and non-technical stakeholders.
- Contribute to grant applications and secure research funding.
- Mentor junior researchers and contribute to the growth of the AI research team.
- Evaluate and benchmark AI models and systems.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of research in AI/ML, demonstrated through publications, patents, or significant project contributions.
- In-depth knowledge of machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, Transformers), and statistical modeling.
- Proficiency in programming languages such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts clearly.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies is a plus.
- Ability to work both independently and collaboratively in a research-intensive environment.
AI Solutions Architect - Emerging Technologies
Posted 4 days ago
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Job Description
Key Responsibilities:
- Collaborate with clients to understand their business needs and identify opportunities for AI and machine learning solutions.
- Design end-to-end AI/ML solution architectures, encompassing data ingestion, preprocessing, model development, deployment, and monitoring.
- Evaluate and recommend appropriate AI/ML platforms, tools, and frameworks based on project requirements and client infrastructure.
- Lead the technical implementation of AI/ML projects, ensuring robust, scalable, and efficient solutions.
- Develop proof-of-concepts and prototypes to demonstrate the value of proposed AI solutions.
- Provide technical guidance and mentorship to development teams throughout the project lifecycle.
- Stay at the forefront of AI research and emerging technologies, identifying innovative applications for clients.
- Ensure solutions adhere to best practices in data science, machine learning, MLOps, and ethical AI principles.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- Contribute to the development of reusable AI components and best practices within the organization.
- Manage project timelines and deliverables, ensuring successful client outcomes.
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 6 years of experience in data science, machine learning, or AI development, with at least 3 years in a solutions architecture or lead technical role.
- Proven experience in designing and deploying AI/ML models in production environments.
- Strong understanding of various machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and natural language processing (NLP).
- Proficiency in programming languages such as Python and experience with relevant libraries (e.g., scikit-learn, Pandas, NumPy).
- Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication, presentation, and client-facing skills.
- Ability to work effectively in a hybrid work environment, collaborating both remotely and in-person.
- Experience with MLOps practices and tools is a plus.
Senior AI & Emerging Technologies Lead
Posted 5 days ago
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Job Description
Key Responsibilities:
- Identify and evaluate emerging AI and technology trends.
- Lead R&D projects for new technology applications.
- Develop strategic roadmaps for AI and emerging technologies.
- Mentor and guide teams of AI researchers and engineers.
- Collaborate with business units to identify innovation opportunities.
- Oversee proof-of-concept development and pilot implementations.
- Communicate technical insights and strategic recommendations to leadership.
- Foster a culture of innovation and continuous learning.
- MSc or PhD in Computer Science, Engineering, or a related technical field.
- 8+ years of experience in AI, Machine Learning, or related emerging technologies.
- Proven track record of leading technology research and development initiatives.
- Deep understanding of AI/ML concepts and their applications.
- Experience with other emerging technologies (IoT, Blockchain, Quantum, etc.) is a plus.
- Strong strategic thinking and business acumen.
- Excellent leadership, communication, and presentation skills.
- Experience managing R&D projects and cross-functional teams.
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Senior AI Research Scientist - Emerging Technologies
Posted today
Job Viewed
Job Description
Responsibilities:
- Conduct advanced research in Artificial Intelligence, focusing on novel algorithms and techniques.
- Design, develop, and implement cutting-edge AI models and systems.
- Collaborate with a team of researchers to define research objectives and methodologies.
- Analyze large datasets and extract meaningful insights to inform AI development.
- Publish research findings in top-tier conferences and journals.
- Develop prototypes and proof-of-concepts for new AI applications.
- Stay current with the latest advancements and trends in AI research.
- Mentor junior researchers and contribute to the team's knowledge sharing.
- Present research findings to technical and non-technical audiences.
- Contribute to the strategic direction of AI research within the organization.
- PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- Extensive experience in AI research and development, with a strong publication record in leading venues.
- Deep expertise in one or more AI subfields (e.g., deep learning, NLP, computer vision, reinforcement learning).
- Proficiency in programming languages such as Python and relevant AI frameworks (e.g., TensorFlow, PyTorch).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration skills, with experience working in remote, multidisciplinary teams.
- Proven ability to lead research projects and drive innovation.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) is beneficial.
Senior AI Research Scientist - Emerging Technologies
Posted today
Job Viewed
Job Description
Responsibilities:
- Conduct advanced research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
- Develop novel algorithms and models to solve complex, real-world problems.
- Design and implement experiments to validate research hypotheses and assess model performance.
- Collaborate with a team of talented researchers and engineers to drive innovation and explore new technological frontiers.
- Stay abreast of the latest advancements in AI research through literature review and conference participation.
- Publish research findings in top-tier academic journals and conferences.
- Develop proof-of-concepts and prototypes to demonstrate the feasibility of new AI applications.
- Contribute to the strategic direction of the company's AI research roadmap.
- Mentor junior researchers and interns, providing guidance and support.
- Engage with external research communities and industry partners.
- Ensure research is conducted ethically and with a focus on societal impact.
- Contribute to the patenting process for novel inventions.
- Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of impactful research in AI, evidenced by publications in leading conferences (e.g., NeurIPS, ICML, CVPR, ACL) or journals.
- Deep expertise in at least one core AI domain (e.g., deep learning frameworks like TensorFlow/PyTorch, NLP, computer vision, generative models, or reinforcement learning).
- Strong programming skills in Python and experience with relevant libraries (NumPy, SciPy, Pandas, scikit-learn).
- Experience with large-scale data processing and distributed computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote, fast-paced research environment.
- Outstanding communication and presentation skills, with the ability to articulate complex research concepts clearly.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- A genuine passion for scientific discovery and innovation in AI.
Lead AI Research Scientist (Emerging Technologies)
Posted 2 days ago
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