Senior Generative AI Engineer | London

Method Resourcing; City Of London; Hybrid; GBP 93,000 - 110,000; Full time

Job summary

A technology consultancy is looking for a Senior Generative AI Engineer in London. The role involves designing and deploying generative AI systems, mentoring engineers, and optimizing models for production. Candidates should have over 5 years in ML/AI engineering and expertise in relevant tools. The position offers a competitive salary of up to £110,000 plus a bonus, with a hybrid work setup of 2 days in the London office.

Benefits

Competitive base salary

Hybrid setup

Influence on technical roadmap

Qualifications

• 5+ years of ML/AI engineering experience, including 3+ years with generative AI.
• Strong grounding in technology frameworks like Python, TensorFlow/PyTorch.
• Experience in delivering measurable ROI from AI projects.

Responsibilities

• Design, build, and deploy generative AI systems.
• Lead the full ML lifecycle from data extraction to deployment.
• Collaborate with cross-functional teams to create AI solutions.

Skills

Machine Learning engineering

Generative AI experience

Python

TensorFlow/PyTorch

Prompt engineering

API integration

Tools

AWS

Azure

GCP

Job description

Job Title: Senior Generative AI Engineer

Employer: Method Resourcing

Location: London, United Kingdom

Salary: Up to £110,000 + bonus + benefits

Employment Type: Permanent

Reference Number: e130eff9-820b-4019-88c1-91fd5e317c04

Senior Generative AI Engineer

London (2 days per week on-site)

Permanent, hybrid (2 days in London)

Method has partnered with a UK technology consultancy pushing the boundaries of applied generative AI-scaling agentic, goal-driven systems into production.

We build intelligent agents that integrate directly into core business systems-CRM, ERP, service, and operations-so technology acts, learns, and improves continuously. Our work goes beyond static models to deliver autonomous, measurable business impact.

Your Role

• Design, build, and deploy generative AI systems (LLMs, retrieval-augmented architectures, embedding pipelines, agents) from prototype to production.
• Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring.
• Collaborate with product, engineering, and data teams to translate business needs into working AI solutions.
• Establish standards for prompt engineering, model evaluation, and responsible AI (governance, bias mitigation, safety).
• Optimise models for scalability, latency, cost, and accuracy in live environments.
• Mentor engineers and raise the overall technical bar of the team.

You Bring

• 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production.
• Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector databases, and prompt engineering frameworks.
• Proven record of delivering measurable ROI from AI projects.
• Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP).
• Confident communicator able to explain complex trade-offs to non-technical stakeholders.
• UK-based and available for two days per week in the London office.

Why Join

• Competitive base up to £110k plus bonus and benefits.
• Hybrid setup: two days in London, remainder remote.
• Direct influence on technical roadmap and AI strategy, not just delivery.
• Opportunity to move beyond experimentation and define how generative AI operates at enterprise scale.

To Apply

Send your CV along with a one-page summary of your most significant generative AI project, highlighting the problem, approach, outcome, and measurable results.

RSG Plc is acting as an Employment Agency in relation to this vacancy.