solutions for Financial Services, Manufacturing, 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 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 solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop … Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the GoogleCloud Platform (GCP), with a strong focus on VertexAI services. Build More ❯
solutions for Financial Services, Manufacturing, 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 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 solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop … Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the GoogleCloud Platform (GCP), with a strong focus on VertexAI services. Build More ❯
solutions for Financial Services, Manufacturing, 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 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 solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop … Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the GoogleCloud Platform (GCP), with a strong focus on VertexAI services. Build More ❯
london (city of london), south east england, united kingdom
HCLTech
solutions for Financial Services, Manufacturing, 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 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 solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop … Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the GoogleCloud Platform (GCP), with a strong focus on VertexAI services. Build More ❯
we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable … teams to solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and "conventional" ML engineering for non-GenAI applications like recommender systems. This is a highly visible, hands-on engineering role with a strong focus on pragmatic, production-ready solutions that drive real … role and team collaborate closely with the wider Data team (Data Science, Core Data Engineering) and the wider organisation (Technology, Legal, Information Security) to onboard/develop & scale AI applications. As AI & ML Engineer you will be responsible for The role covers the full AI/ML engineering lifecycle, from discovery to deployment and More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Singular Recruitment
forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using VertexAI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain … Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the VertexAI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with More ❯
My Financial Services client is seeking to recruit an AI Engineer (front end) on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. This is a development-heavy position focused on delivering production-ready user interfaces for AI-powered tools and GenAI applications. You'll work … UX/UI designs into modular, reusable components aligned with enterprise design systems. Integrate front-end applications with REST/GraphQL APIs, WebSockets, and backend services. Collaborate with AI engineers, backend developers, and cloud architects to deliver end-to-end solutions. Ensure compliance with cybersecurity and data privacy standards through secure coding practices and regular code reviews. Deploy … UI development. Demonstrated ability to build front-end applications from scratch in greenfield or innovation lab settings. Experience developing interactive UIs, dashboards, chat interfaces, and data visualizations for AI-powered tools. Skilled in integrating front-end applications with APIs (REST, GraphQL, WebSockets) and backend services. Deep understanding of front-end security practices (e.g., OWASP, CSP, input sanitization, role More ❯
My Financial Services client is seeking to recruit an AI Engineer (front end) on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. This is a development-heavy position focused on delivering production-ready user interfaces for AI-powered tools and GenAI applications. You'll work … UX/UI designs into modular, reusable components aligned with enterprise design systems. Integrate front-end applications with REST/GraphQL APIs, WebSockets, and backend services. Collaborate with AI engineers, backend developers, and cloud architects to deliver end-to-end solutions. Ensure compliance with cybersecurity and data privacy standards through secure coding practices and regular code reviews. Deploy … UI development. Demonstrated ability to build front-end applications from scratch in greenfield or innovation lab settings. Experience developing interactive UIs, dashboards, chat interfaces, and data visualizations for AI-powered tools. Skilled in integrating front-end applications with APIs (REST, GraphQL, WebSockets) and backend services. Deep understanding of front-end security practices (e.g., OWASP, CSP, input sanitization, role More ❯
So, naturally, the team you'll be joining plays a gigantic role in making that happen. Here's how: Our team's vision is to pioneer a sophisticated AI platform, centralising the operation of all OVOs ML models. Our goal is to empower our company with superior AI solutions. Whether we are solving climate change or … machine learning engineers to design, build, and deploy machine learning solutions that drive business value. To do this, you will develop new features, and functionalities on the OVO AI Platform, which is used by engineers, and data scientists as a foundation to deliver their AI models, and use cases. This is a great opportunity for someone … business with wide-ranging impact, and loves working in collaborative, and supportive environments. Our key outcomes Help architect, design, and deploy new features, and functionality on the OVO AI Platform to enable users to deliver high-quality machine learning, and artificial intelligence models at scale Team up with multi-functional teams, including product managers, software developers, and business More ❯
containerisation & use of tools like Docker & Docker Compose Nice-to-haves (Mix of the following but not all essential): * Experience working with GoogleCloud products for ML including VertexAI Pipelines & BigQuery * Experience with dbt (data build tool) * Previous experience working with advertising data * Experience with FastAPI or other Python API frameworks * Experience with dashboarding tools More ❯
GoogleCloud Platform and/or Azure Cloud Services (DataFactory, Functions, SSIS) Hands-on experience with Databricks (GCP or Azure) Experience deploying and maintaining ML models (e.g., MLflow, VertexAI, Azure ML) Beneficial Experience with Spark and other distributed data processing frameworks Exposure to MLOps tooling for orchestration, CI/CD, and monitoring Experience with Elasticsearch More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Singular Recruitment
pipelines using GoogleCloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a data lake/lakehouse environment on GCP. Engineering Best Practices: Proficiency with More ❯
in data science, with a focus on machine learning model development/Large Language Model (LLM) application development. Experience deploying Generative AI applications to production in GCP (VertexAI) or AWS (Bedrock). Demonstrable experience monitoring the performance and output quality of generative models, including assessing/mitigating hallucinations and coherence of generated content. Desirables: Experience fine-tuning large More ❯
