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Senior Consultant, Forward Deployed AI Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Baringa Partners LLP
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

London, United Kingdom

Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding.

The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation.

Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors.

Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms.

Our Solutions & AI Labs (SAIL) practice are looking for experienced Consultants to join the team!

The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice.

This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands‑on delivery leadership – and who has a genuine passion for bringing AI solutions to production at scale.

Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions.

What you will be doing

As a Senior Consultant in SAIL, you will own and lead consultancy engagements end-to‑end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME‑level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients.

Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflects that.

AI/ML Specialism

You will bring expert‑level knowledge in at least one of the following domains, and working knowledge across the others:

Agentic AI & LLM Engineering
  • Design and build production‑grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale.
  • Strong opinions on secure, resilient enterprise deployment of LLM‑powered systems; current knowledge of the latest model capabilities and AI product stacks.
Machine Learning Engineering
  • End-to‑end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection.
  • Practical knowledge of ML frameworks (e.g. scikit‑learn, PyTorch, XGBoost) and cloud‑native ML services (Sage Maker, Azure ML, Vertex AI).
  • Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event‑driven architectures and CI/CD.
  • Track record of delivering production Python services and APIs; working knowledge of cloud‑native…
Position Requirements
10+ Years work experience
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