Consultant / AI Engineer

SDG Group UK

Greater London

On-site

GBP 70,000 - 110,000

Full time

17 hours ago
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Job summary

SDG Group UK is seeking a skilled Machine Learning Engineer to join our AI-driven team in Greater London. You will design, build, and productionize AI solutions, scaling ML systems and analytics platforms across industries. The role emphasizes hands-on deployment, ML lifecycle management, and cloud-based MLOps.

Collaboration with data scientists and engineers is essential for delivering impact. You will work within a global AI-led, data-focused consultancy, leveraging advanced tools and

Qualifications

  • 4+ years as a machine learning engineer or similar role
  • Hands-on experience building and deploying AI/ML solutions
  • Solid understanding of data science fundamentals and MLOps practices
  • Proficiency in Python and modern ML tooling (Docker/Kubernetes)

Responsibilities

  • Develop AI solutions across the full lifecycle from objective to production systems
  • Industrialize ML systems using MLOps practices for scalability
  • Build advanced analytics platforms and cloud-based data science infrastructures
  • Utilize cloud tools to deploy data science and MLOps solutions effectively

Skills

Python
R
Docker
Kubernetes
Azure Databricks
MLflow
Google Vertex AI

Education

Degree in Computer/Telecommunications Engineering or related software disciplines

Tools

Azure Databricks
MLflow
Google Vertex AI

Job description

Transform the Future with SDG: Global Leaders in Data & AI

SDG Group boasts a robust AI capability with over 200 multidisciplinary experts, including Industry & Business Domain experts, Business Scientist, AI architects & AI Engineers, AI R&D and AI Compliance & Governance Experts.

With proven experience across 70+ clients and 100+ use cases, we deliver AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools to fast-track AI implementation. Through SDG iLabs, we drive innovation by experimenting with emerging AI trends. We have strong alliances with major AI hyperscalers like Microsoft, Google, and AWS, and are recognized globally as a top leader in data and AI services. Our 2000+ consultants ensure businesses are AI-ready.

Join SDG and be part of something extraordinary! Experience what it truly means to be an expert in Artificial Intelligence. If you're seeking to join a team fully specialized in Data, Analytics, and AI, we can't wait to meet you.

What You’ll Be Doing
  • Develop AI Solutions: Engage in the full cycle of AI solution development, from identifying business objectives and challenges to building production-ready systems.
  • Industrialize Machine Learning Systems: Lead machine learning system industrialization initiatives using MLOps practices to ensure scalability and reliability.
  • Build Advanced Analytics Platforms: Design and implement advanced analytics platforms and cloud-based systems to support large-scale data science operations.
  • Leverage Cloud Tools: Learn, train, and utilize a variety of cloud-based tools and platforms to develop and deploy data science and MLOps solutions effectively.
What We Look For
  • Educational Background: Degree in Computer Engineering, Telecommunications Engineering, or related technical disciplines in software engineering.
  • Experience: Minimum of 4 years as a machine learning engineer or similar role, with hands-on expertise in building and deploying AI and ML solutions.
  • Data Science Knowledge: Solid understanding of data science fundamentals, solution lifecycle, and MLOps practices.
  • Technical Proficiency: Proficient in software development and implementation of AI/ML systems using cutting-edge technologies such as Python, R, Docker, Kubernetes, and tools like Azure Databricks, MLflow, and Google Vertex AI.
Highly Valued Requirements
  • Advanced Education: Master's or Ph.D. in big data, artificial intelligence, or related fields.
  • Consulting Experience: Prior work in data & analytics consulting or similar domains.
  • Data Engineering Background: Experience in other data value chain roles, particularly data engineering.
  • Cloud Expertise: Hands-on experience with cloud-based technologies for infrastructure, data pipelines, and monitoring AI/ML systems.
  • Certifications: Relevant certifications in ML system development across major cloud platforms like Azure, AWS, or Google Cloud.
About the Company and the Role

SDG Group is a global consulting firm, fully dedicated to Data, Analytics, and AI solutions. We offer end-to-end support across the entire data value chain, providing tailored career paths for those who wish to excel in the world of data. You'll have the chance to work on impactful projects with industry leaders, helping to drive real change.

We're looking for problem solvers, innovators, and team players who are ready to join our mission to further expand our reach. You'll have access to a diverse array of cutting-edge technologies, applying them to solve complex challenges across various industries and business contexts.

At SDG, your growth is our priority. We'll create customized career plans that enable you to advance independently and in collaboration with your peers. You'll find opportunities for continuous learning and development, as well as the chance to face new challenges, maximizing the potential of artificial intelligence for both SDG Group and our clients.

If you value inclusivity and want to be part of a culture where you can truly be yourself, we want you on our team.

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