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Location: England Job Type: Permanent Industry: Digital Workspace Job reference: BBBH386072_1752663696 Posted: about 8 hours ago
AI & Machine Learning Consultant - Must have an Active DV Clearance - Hybrid
Location: Bristol, London, Manchester or Cambridge
Salary: £55,000 - £75,000 (depending on experience and clearance)
Our client is looking for an AI & Machine Learning Consultant to join their team.
We are seeking committed new talent to join our multidisciplinary Data Science and Machine Learning team. Our goal is to work together with our clients to drive innovation and insight from their data, using cutting edge Data Science, Machine Learning and AI techniques.
As a practitioner in our team, you will:
Apply data science, machine learning and AI techniques creatively to solve complex problems.Research and develop innovative solutions that deliver real-world impact.Pioneer implementation of new techniques and technologies.Participate in all phases of the lifecycle from capturing user needs and developing prototypes to scaling and managing live services.Be responsible for the high-quality delivery of projects.Shape new propositions and support winning new projects.Support continual learning and development in the team.Develop deep understanding of the Clients industry and the context for AI solutions and services to be successful.We are looking for candidates with both technical and business focused skills and experience, who can articulate the outcomes and value of their work.
Essential skills and experience:
Hands-on experience of applying data science or machine learning in Defence/Security, wider public sector, or in academiaUnderstanding of a range of machine learning architectures and models (e.g. Transformers, CNNs, Generative AI) and understand their applicability to client use casesStrong communication skills, including preparing engaging and impactful reports and presentations and conveying complex issues to diverse audiencesBuilding productive relationships with colleagues and clientsEvidence of contribution to practice development, including developing new propositions, mentoring colleagues and supporting bid workIt is desirable to have demonstrable experience with a few of the following:
Experience applying state-of-the-art techniques to derive insights from text, audio, imagery or video contentExperience with Data Science and Machine Learning services and toolkits from Cloud providers (AWS, Azure, GCP) or equivalentPractical experience with Python and good practice tools and processes for developing high quality codeFamiliarity with common Python libraries for data management, statistical analysis, machine learning. visualisation, interactive web front-endsExperience with popular machine learning frameworks such as TensorFlow and PyTorchStrong understanding of statistics and probabilityStrong knowledge of the machine learning lifecycle, from prototyping state-of-the-art to scaling and managing for enterprise useExperience with one or more common workflow / pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents)Understanding of key considerations for Ethical and Responsible AI and experience applying themIf this is the role for you please submit your CV at your earliest convenience.
Our client is looking for an AI & Machine Learning Consultant to join their team.
We are seeking committed new talent to join our multidisciplinary Data Science and Machine Learning team. Our goal is to work together with our clients to drive innovation and insight from their data, using cutting edge Data Science, Machine Learning and AI techniques.
As a practitioner in our team, you will:
Apply data science, machine learning and AI techniques creatively to solve complex problems.Research and develop innovative solutions that deliver real-world impact.Pioneer implementation of new techniques and technologies.Participate in all phases of the lifecycle from capturing user needs and developing prototypes to scaling and managing live services.Be responsible for the high-quality delivery of projects.Shape new propositions and support winning new projects.Support continual learning and development in the team.Develop deep understanding of the Clients industry and the context for AI solutions and services to be successful.We are looking for candidates with both technical and business focused skills and experience, who can articulate the outcomes and value of their work.
Essential skills and experience:
Hands-on experience of applying data science or machine learning in Defence/Security, wider public sector, or in academiaUnderstanding of a range of machine learning architectures and models (e.g. Transformers, CNNs, Generative AI) and understand their applicability to client use casesStrong communication skills, including preparing engaging and impactful reports and presentations and conveying complex issues to diverse audiencesBuilding productive relationships with colleagues and clientsEvidence of contribution to practice development, including developing new propositions, mentoring colleagues and supporting bid workIt is desirable to have demonstrable experience with a few of the following:
Experience applying state-of-the-art techniques to derive insights from text, audio, imagery or video contentExperience with Data Science and Machine Learning services and toolkits from Cloud providers (AWS, Azure, GCP) or equivalentPractical experience with Python and good practice tools and processes for developing high quality codeFamiliarity with common Python libraries for data management, statistical analysis, machine learning. visualisation, interactive web front-endsExperience with popular machine learning frameworks such as TensorFlow and PyTorchStrong understanding of statistics and probabilityStrong knowledge of the machine learning lifecycle, from prototyping state-of-the-art to scaling and managing for enterprise useExperience with one or more common workflow / pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents)Understanding of key considerations for Ethical and Responsible AI and experience applying themIf this is the role for you please submit your CV at your earliest convenience.