16 of 16 Permanent Vertex AI Jobs in London

integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineering Lead to define and deliver this vision. … understanding of prompt engineering and fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI ...

AI/ML Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart … 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 ...

Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary It is crucial that the candidates have experience with the Agentic AI framework, specifically with tools like … LangGraph and Google ADK. These skills are essential for the role. We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that can reason, plan, and execute complex tasks. The ideal candidate will build production-grade AI ...

Senior Machine Learning Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) Salary: £75,000 - £100,000 (depending on experience) The Role We're hiring a Senior Machine Learning Engineer to lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. … 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 ...

AI Prompt Engineering Consultant, Technically Sharp & Systems-Minded Deesign and optimize prompts, architect LLM-powered systems and deploy scalable GenAI workflows that connect people and intelligent systems in new, high-impact ways. THE ROLE Prompting & Reasoning Systems Design, test and optimize prompts for leading frontier models … harnesses. Develop APIs, microservices and serverless workflows for scalable deployment. ML/LLM Engineering Work with AI+ML pipelines through Azure ML, AWS SageMaker, Vertex AI, Databricks, or Modal/Fly.io for lightweight LLM deployment. Utilize vector databases (Pinecone, Weaviate, Milvus, ChromaDB, pgVector) and embedding stores. ...

Staff React Engineer (TypeScript + AI Experience) We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. … applications using React and TypeScript . Define and execute the front-end technical strategy , ensuring scalability, performance, and alignment with product and AI goals. Collaborate closely with AI engineers, data scientists, designers, and product managers to deliver intelligent, data-driven user experiences. Integrate AI ...

Role - Senior Forward Deployed Engineer (AI‐Native) – Industry Principal Technology - LLMs, agentic coding systems, intelligent IDEs, AI development platforms Location - London (global travel as required) Compensation - Competitive (including bonus) Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None … people. Your role In the role of Senior Forward Deployed Engineer (FDE) , You will anchor pods, set technical vision, and operationalize modern AI (LLMs, agentic systems, intelligent IDEs) to transform engineering workflows and outcomes. The role blends deep technical leadership with executive engagement and end‐to‐end delivery ...

specialising in strategy and development of client solutions across GMP, GCP, and Google AI. We harness the power of cloud technology, data and AI to craft compelling, future-ready solutions that drive growth for our clients. Our teams provide cutting-edge data and AI services that … Retail. This role requires a proven track record in strategic sales, market entry planning, and closing high-value, complex Data and AI solutions. You will own the entire sales motion within designated new markets, from defining the segmentation strategy and building the pipeline to leading deal execution ...

About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. W e’ve been awarded by CEW, Beauty Innovation Awards … support the training, optimisation, and deployment of computer vision models that power real customer interactions. 🔧 What We Offer Train, evaluate and deploy agentic AI systems and computer vision models for real-world use Collaborate with product and engineering to integrate ML systems into user-facing features Develop ...

About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. W e’ve been awarded by CEW, Beauty Innovation Awards … support the training, optimisation, and deployment of computer vision models that power real customer interactions. 🔧 What We Offer Train, evaluate and deploy agentic AI systems and computer vision models for real-world use Collaborate with product and engineering to integrate ML systems into user-facing features Develop ...

customer data. Key Responsibilities: Define and execute the go-to-market strategy for the Analytics practice, positioning them as a leader in AI-driven analytics solutions built on the Google Cloud, Marketing and AI ecosystem. Own the commercial targets for the Analytics practice, driving a pipeline … high-value solutions like conversational analytics and advanced analytics. Develop and implement tailored client strategies to expand our services, demonstrating how leveraging AI with their existing data can solve core challenges and drive proactive, data-driven decision making. Act as the senior subject matter expert and strategic advisor ...

containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms ...

with containerization tools like Docker and orchestration tools like Airflow or Astronomer Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI) Experience with CI/CD pipelines and automation tools such as GitHub Actions Understanding of monitoring and logging tools (e.g., NewRelic … experience deploying ML models in production environments Knowledge of infrastructure-as-code tools like Terraform or CloudFormation Familiarity with model interpretability and responsible AI practices Experience with feature stores and model registries ...

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy … Skills Football Analytics Experience : Familiarity with football-specific datasets (event, tracking, positiona l), and libraries like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation , tactical modelling , etc. Bayesian Modelling : Knowledge of probabilistic programming (e.g., PyMC ...

data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially ...

client are a private equity backed firm who are looking for a Deep AI/Agentic Engineer to lead the design and delivery of the organisations complex AI-native engagements, from agentic systems to semantic layers. Pair hands-on technical leadership with client trust, shaping both … enterprise outcomes and the firm's long-term engineering capability. Responsibilities: You will design and build production-grade AI systems across: LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops. Multi-agent architectures, including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems, embeddings, structured ...