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- Tasks: Design and deploy cutting-edge AI models and applications in a fully remote role.
- Company: Join Brio Digital, a leader in AI innovation with a collaborative culture.
- Benefits: Enjoy a competitive salary, flexible remote work, and opportunities for professional growth.
- Why this job: Make a real impact in the AI field while working on exciting projects.
- Qualifications: 5+ years in machine learning, strong Python skills, and experience with LLMs.
- Other info: High autonomy in a dynamic environment with excellent career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
We're hiring a Senior Machine Learning Engineer to lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google's AI ecosystem.
You'll be a senior, hands-on engineer owning complex technical problems end to end, with a strong influence over architecture, tooling, and the future direction of LLM-powered products.
What You'll Be Doing:
- Design, develop, and deploy advanced machine learning and deep learning models into production.
- Architect scalable LLMOps pipelines on GCP / Vertex AI, including fine-tuning, vector search, and low-latency inference.
- Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering.
- Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety.
- Develop and deploy autonomous or semi-autonomous agents using modern agent frameworks and Google AI tooling.
- Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions.
- Monitor, optimise, and continuously improve models in live production environments.
- Contribute to the architecture and evolution of the AI platform and supporting data infrastructure.
- Stay current with emerging research, tools, and best practices across ML and Generative AI.
What We're Looking For:
- 5+ years' experience in machine learning engineering or applied AI roles.
- Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems.
- Strong Python skills using frameworks such as PyTorch, TensorFlow, Hugging Face, or Google GenAI.
- Experience with vector databases and retrieval-based architectures.
- Proven experience designing and operating large-scale ML systems in production.
- Strong experience with GCP Vertex AI (or equivalent cloud ML platforms).
- Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git.
- Strong understanding of deep learning, statistical modelling, and optimisation techniques.
Nice to Have:
- Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use).
- Familiarity with LLM evaluation frameworks such as RAGAS or TruLens.
- Experience fine-tuning large models or working with reinforcement learning techniques.
- Background in mathematics, statistics, or theoretical computer science.
- Understanding of data governance, bias mitigation, or model interpretability.
Why Join:
- Work on real, production-grade GenAI systems with clear business impact.
- High autonomy and ownership in a senior, hands-on engineering role.
- Fully remote working with a collaborative, distributed team.
- Opportunity to influence architecture and long-term technical direction.
- Competitive salary up to £100k, plus benefits.
AI/ML Engineer in London employer: Brio Digital
Contact Detail:
Brio Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those at Brio Digital. A friendly message on LinkedIn can go a long way. Don’t be shy; we all love a good chat about tech!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and Generative AI. We want to see what you can do, so make it easy for us to find your best work.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with GCP, Python, and ML systems. We love candidates who can dive deep into their expertise!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining our team at Brio Digital.
We think you need these skills to ace AI/ML Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Engineer role. Highlight your experience with LLMs and Generative AI, and don’t forget to showcase your Python skills and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Be sure to mention any specific projects or achievements that relate to the job description.
Showcase Your Projects: If you've got any personal or professional projects related to machine learning or AI, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve GCP or LLMs!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Brio Digital
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of Large Language Models and Generative AI. Be prepared to discuss specific projects you've worked on, especially those involving fine-tuning or building LLM applications. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, be ready to demonstrate your proficiency with frameworks like PyTorch or TensorFlow. You might even want to prepare a small coding challenge or example project to discuss during the interview, highlighting your problem-solving approach.
✨Familiarise Yourself with GCP
As the role involves working with GCP and Vertex AI, make sure you're comfortable discussing how you've used these tools in past projects. Highlight any experience you have with architecting scalable ML systems and managing production environments, as this will be crucial for the role.
✨Prepare for Technical Questions
Expect to face technical questions related to deep learning, statistical modelling, and optimisation techniques. Brush up on these topics and think about how you can relate them to real-world applications. Being able to explain complex concepts clearly will set you apart from other candidates.
