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Senior Consultant - Data Science & Machine Learning

Experis
Posted 13 hours ago, valid for 24 days
Location

London, Greater London SW1A2DX, England

Salary

£65,000 - £75,000 per annum

Contract type

Full Time

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Sonic Summary

info
  • The position is for a Senior Consultant in Data Science & Machine Learning, offering a salary of up to £75,000 plus benefits.
  • Candidates should have extensive hands-on experience in data science and machine learning, particularly in Defence, Security, or public sector environments.
  • The role requires strong technical expertise in various machine learning architectures and the ability to communicate complex issues effectively.
  • Key responsibilities include applying AI techniques to solve critical problems, leading project implementations, and supporting practice development.
  • The position is hybrid, requiring two days a week on-site in Bristol, Manchester, or London, with SC Clearance needed to start and a willingness to obtain DV Clearance.

Salary: Up to 75,000 + Benefits
Position: Senior Consultant, Data Science & Machine Learning
Location: Hybrid - Bristol, Manchester, or London (Hybrid, 2 days pw on site)
Security Requirement: SC Clearance to start and be willing / able to obtain DV Clearance

Are you an experienced Data Scientist or Machine Learning Consultant with a background in Defence, Security, or a public sector organisation? Do you thrive on solving complex challenges using cutting-edge AI and machine learning? Join us as a Senior Data Science & Machine Learning Consultant, where you'll deliver impactful projects for key clients, including the Intelligence Service, while driving innovation and practice development in this high-stakes field.

What We're Looking For:

  • Extensive Hands-on Experience: Proven track record of applying data science and machine learning in Defence/Security, public sector, or academia.
  • Technical Expertise: Deep understanding of various machine learning architectures, including Transformers, CNNs, and Generative AI, with the ability to assess their relevance to real-world applications.
  • Communication and Influence: Strong skills in presenting complex issues clearly, preparing insightful reports, and engaging diverse stakeholders effectively.
  • Collaborative and Productive: Skilled at building strong relationships with clients and team members and contributing actively to practice development.
  • Practice Development: Demonstrated contributions, such as developing new propositions, mentoring junior colleagues, and supporting bid work.

Desirable Skills:

  • Experience in applying machine learning techniques to text, audio, image, or video analysis.
  • Familiarity with Cloud-based Data Science and ML toolkits from AWS, Azure, or GCP.
  • Proficiency in Python, including best practices for high-quality code and familiarity with popular data and ML libraries.
  • Knowledge of machine learning frameworks like TensorFlow and PyTorch.
  • Strong grasp of statistics, probability, and ethical AI considerations.
  • Experience with workflow/pipelining frameworks such as Kubeflow, MLFlow, or Argo.

Key Responsibilities:

  • Apply AI, machine learning, and data science techniques to solve critical problems.
  • Conduct innovative research and develop solutions that deliver tangible results.
  • Lead the implementation of cutting-edge technologies across various project phases.
  • Ensure the high-quality delivery of projects from start to finish.
  • Shape new propositions and support the acquisition of new projects.
  • Foster continual learning and skill development within the team.
  • Develop a deep understanding of the Defence and Security sectors to create impactful AI solutions.

If you're passionate about pushing the boundaries of machine learning in the Defence and Security sector and want to make a real impact, we want to hear from you!

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.

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