At a Glance
- Tasks: Design and deploy cutting-edge generative AI systems for global enterprises.
- Company: Join a pioneering UK tech consultancy at the forefront of generative AI.
- Benefits: Competitive salary up to £110k, bonuses, and flexible hybrid work.
- Other info: Mentor fellow engineers and shape the future of AI technology.
- Why this job: Make a real impact on AI strategy and enterprise-scale solutions.
- Qualifications: 5+ years in ML/AI engineering with strong Python and AI deployment skills.
The predicted salary is between 66000 - 77000 £ per year.
London (2 days per week on-site)
Up to £110,000 + bonus + benefits
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.
To accelerate this capability, we're hiring a Senior Generative AI Engineer to design, build, and deploy next-generation AI ecosystems for global enterprises. You'll join a hybrid London team (two days a week on-site) with strong flexibility for remote work.
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.
Senior Generative AI Engineer in London employer: Method-Resourcing
Join a forward-thinking technology consultancy in London that champions innovation and flexibility, offering a competitive salary of up to £110,000 plus bonuses and benefits. With a hybrid work model, you will have the opportunity to influence the technical roadmap and AI strategy while collaborating with talented professionals in a supportive environment that prioritises employee growth and development. This role not only allows you to work on cutting-edge generative AI projects but also empowers you to make a tangible impact on global enterprises.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Generative AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your generative AI projects. Whether it's a GitHub repo or a personal website, having tangible evidence of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to ML/AI engineering and be ready to discuss your past projects in detail. Practice explaining complex concepts in simple terms – it’ll impress both technical and non-technical interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Senior Generative AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Generative AI Engineer role. Highlight your experience with generative AI, ML lifecycle, and any relevant projects that showcase your skills in Python, TensorFlow, or PyTorch.
Craft a Compelling Project Summary:When writing your one-page summary, focus on a significant generative AI project. Clearly outline the problem you tackled, your approach, and the measurable outcomes. This is your chance to shine!
Showcase Collaboration Skills:Since collaboration is key in this role, mention any experiences where you've worked with product, engineering, or data teams. Highlight how you translated business needs into effective AI solutions.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Method-Resourcing
✨Know Your Generative AI Inside Out
Make sure you’re well-versed in the latest generative AI technologies, especially LLMs and transformer architectures. Brush up on your experience with Python, TensorFlow, and PyTorch, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss your most significant generative AI project in detail. Highlight the problem you tackled, your approach, and the measurable outcomes. This will demonstrate your ability to deliver ROI and your hands-on experience in deploying AI solutions.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with non-technical stakeholders, so being able to break down your work into digestible pieces is key.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI strategy and how they measure success. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
