26 to 50 of 68 Permanent Vertex AI Jobs

Social network you want to login/join with: Machine Learning Ops Engineer - AI, London col-narrow-left Client: Opus 2 Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 49e4bb405041 Job Views: 2 Posted: 12.07.2025 Expiry Date: 26.08.2025 col-wide Job Description: As Opus 2 continues to embed … AI into our platform, we need robust, scalable data systems that power intelligent workflows and support advanced model behaviours. Were looking for an MLOps Engineer to build and maintain the infrastructure that powers our AI systems. You will be the bridge between our data science and engineering teams, ensuring that our machine learning models are deployed … with product and engineering teams to integrate ML models into our production environment and ensure seamless operation within the broader product architecture. Own the operational aspects of the AI lifecycle, from model deployment and A/B testing to incident response and continuous improvement of production systems. Contribute to our AI strategy and roadmap by providing More ❯

to shape the future of banking through scalable, reliable, and innovative solutions. If you're passionate about operationalizing advanced machine learning-including large language models (LLMs) and generative AI-this is the place for you. As a Mid-Level ML Engineer within the International Consumer Bank at JPMorgan Chase, you'll work alongside ML scientists, Data Engineers and … machine learning solutions in production. You'll play a hands-on role in implementing ML pipelines, deploying models (including LLMs), and developing the supporting infrastructure that keeps our AI-driven products robust and scalable. Job Responsibilities: Build, automate, and maintain ML pipelines for deploying advanced models, including large language models (LLMs), at scale. Collaborate with data engineers, scientists … and product owners to operationalize workflows for reliable, seamless model deployment and monitoring. Implement monitoring, logging, and alerting for AI services, ensuring performance, security, and compliance in production environments. Write clean, maintainable, and efficient Python code for ML tooling, orchestration, and infrastructure. Develop and maintain infrastructure as code (IaC) using tools such as Terraform or CloudFormation. Work with More ❯

scale. Thrive in a fast-paced, innovative environment where your technical expertise and program management skills will directly impact Google's AI strategy. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end … our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Develop and manage the overall program plan for GenAI development and deployment More ❯

scale. Thrive in a fast-paced, innovative environment where your technical expertise and program management skills will directly impact Google's AI strategy. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end … our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Develop and manage the overall program plan for GenAI development and deployment More ❯

Job Duties: You will be responsible for designing, developing, and implementing AI/ML solutions for a wide range of decision-making and SIGINT processing needs. This includes working with time-series data and developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems. You will work with team leads … to integrate AI/ML capabilities into enterprise architectures, ensuring performant processing while considering aspects of accuracy, security, and maintainability. This also includes enabling autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments, and discovering features and inferring system states from the underlying data streams. You will work towards … MARL approaches Experience with reinforcement learning, human feedback, and related system learning methods Experience creating and deploying containerized AI models with Docker/Kubernetes Working with cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI) Experience with model monitoring, A/B testing, and performance optimization Experience with real-time inference More ❯

DEPT/AI has a single mission: to make the best work in the industry using AI to enhance everything we do. This role sits within our EMEA Data & AI practice, which has deep expertise in leveraging AI. The team includes data strategists, consultants, data scientists and analysts that work alongside DEPT teams around … of experts to solve complex business challenges using cutting-edge technologies. KEY RESPONSIBILITIES Design data-driven solutions tailored to client challenges, leveraging advanced analytical methods, ML models, and AI technologies to deliver business value. Build predictive models to assess media effectiveness, forecast customer behavior, and recommend personalized content or products, informed by a deep understanding of customer journeys … PyTorch, XGBoost, LightGBM, or similar Strong SQL skills and experience with data warehousing solutions (Snowflake, BigQuery, Redshift) Experience with cloud platforms (AWS, Azure, GCP) and their ML and AI services (SageMaker, Azure ML, Vertex AI) Knowledge of MLOps tools including Docker, MLflow, Kubeflow, or similar platforms Experience with version control (Git) and collaborative development More ❯

team, and hit the ground running. • BS degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or related field • Minimum 1-year hands-on experience in AI or ML in a professional environment (3-5 years preferred) • Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.) • Solid programming … to have, but not required: • Understanding of digital signal processing fundamentals • Experience with RFML • Experience with Large Language Models (LLMs) including fine-tuning and prompt engineering • Knowledge of AI applications for autonomous decision-making and analysis • Additional consideration for experience with multimodal, agentic systems using RAG, COT, or … MARL approaches • Experience with reinforcement learning, human feedback, and related system learning methods • Experience creating and deploying containerized AI models with Docker/Kubernetes • Working with cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI) • Experience with model monitoring, A/B testing, and performance optimization • Experience with real-time inference More ❯

can be. The details What you'll be working on - Build and manage data pipelines and infrastructure to support early childhood-focused programmes and innovations. - You will leverage AI platforms, frameworks and APIs . - You will productionise dashboards and web-based applications . - Apply machine learning , predictive modelling , and economic forecasting to extract insights. - You will comply to … of statistical analysis, machine learning, and predictive modelling techniques. Proficiency in Python and SQL programming languages. Proficiency with at least one cloud-based ML platform, such as SageMaker, Vertex AI or Azure Machine Learning Studio. Good knowledge of DevOps practices and tools (e.g.: Git, Docker, Kubernetes). Familiarity with AI platforms and frameworks such … you stay at the company - Private medical insurance, including dental cover - 8% employer pension contribution And so much more Staff away days Learning and wellbeing allowances Industry leading AI & technology provision Friendly, supportive colleagues on a mission to change the world Enhanced parental leave & support Staff away days Learning and wellbeing allowances Industry leading AI & technology More ❯

work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong … databases (Snowflake, MariaDB, Galera, MySQL) Experience with infrastructure and application security Experience with disaster recovery planning and implementation Experience working within Agile development environments Familiar/experience with AI/ML platforms (Datarobot, Vertex AI) Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees More ❯

stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in More ❯

stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in More ❯

stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in More ❯

it simple to switch and save money and thats why good things happen when you meerkat. Wed love you to be part of our journey! Were scaling our AI capabilities at Compare the Market, and Machine Learning Engineering is at the core of how we turn models into production-ready systems. As a Machine Learning Engineering Manager, youll … who can lead people, deliver at pace, and contribute to system design and platform standards. Youll partner with data science, analytics, and platform engineering teams to accelerate how AI is developed and deployed across the organisation. Everyone is welcome! We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every … improvement Lead hiring, onboarding, and team capability development initiatives What wed like to see from you: Experience leading engineering teams focused on machine learning, data platforms, or applied AI delivery Proven track record deploying ML systems in production at scale (batch and/or real-time) Strong technical background in Python and ML engineering tooling (e.g. MLflow, Airflow More ❯

and technology are at the heart of our business strategy, propelling our market-leading products forward with the support of a large, dedicated Data Science team that delivers AI and machine learning in our Pricing Data Science department. Admiral is committed to leveraging Data & ML for the greater good, enhancing both customer and employee experiences. Our progressive ethos … data for transformation are endless. Our work spans a variety of approaches, dealing with both structured and unstructured data challenges. Through harnessing the power of Google Cloud and Vertex AI, we're at the forefront of insurance data innovation, developing and monitoring cutting-edge models that drive our business forward. Your Role In Action: Strategize and … Innovate: Use your extensive experience to drive forward transformative business solutions with advanced statistical, machine learning, and AI techniques. Explore and Pioneer: Stay at the forefront of the data science field, pioneering new methodologies and staying up to date with the latest industry breakthroughs. Lead and Collaborate: Guide a dynamic team in refining model deployment processes and champion More ❯

founder, shaping the product and scaling the tech. What You'll Do Lead backend dev using NestJS Design scalable APIs and ERP/accounting tool integrations Work with AI tools (OpenAI, Vertex AI) Define architecture and set engineering standards Mentor junior developers What We're Looking For Strong NestJS + SaaS backend experience ERP …/accounting integration experience Solid JavaScript/TypeScript skills Comfortable owning projects end-to-end Bonus: Experience with AI APIs and frontend (Next.js/Node.js More ❯

LEAD AI ENGINEER LIVERPOOL 2 DAYS ON-SITE INSIDE IR35 A hands-on, innovation-driven role focused on rapidly prototyping advanced AI systems using LLMs, autonomous agents, and semantic search. The engineer will work across the full stack-from prompt engineering and memory management to UI and cloud deployment-using tools like LangChain, CrewAI, and vector … A2A agents). Implement multi-step reasoning, memory modules, and RAG pipelines. Use frameworks like LangChain, LangGraph, CrewAI, and tools like Pinecone, FAISS. Optimize performance and ensure responsible AI practices. Deploy via cloud platforms (AWS Bedrock, Azure AI, Google Vertex). Build UIs (Streamlit, Gradio, React) and integrate APIs and databases. Preferred Skills Experience … with multi-agent systems and ethical AI. Familiarity with advanced model configuration and reusable AI components. Job Title: Lead AI Engineer Location: Liverpool, UK Job Type: Contract Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set More ❯

refining the machine learning infrastructure to support business objectives. Your role will also involve optimizing workflows, integrating CI/CD pipelines, and ensuring the scalability and reliability of AI-driven solutions. Key Responsibilities : Model Deployment : Collaborate with data scientists to deploy machine learning models, ensuring quality and scalability. Pipeline Development : Build and maintain model pipelines to integrate with … Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data processing tools like Apache Beam/Dataflow Strong understanding of monitoring and maintaining models in production environments Experience with containerization tools (e.g., Docker More ❯

journey! As a Staff Machine Learning Engineer, youll play a pivotal role in designing, scaling, and evolving the machine learning infrastructure that powers Compare the Markets most ambitious AI products. From LLM-based personalisation to real-time optimisation systems, youll help define how models are developed, deployed, and maintained in productionreliably and responsibly. This is a high-impact … engineering to lead delivery of complex ML systems. Youll also define the core MLOps capabilities for the business and establish the standards and patterns that accelerate safe, scalable AI deployment across teams. Everyone is welcome! We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an … production with clear interfaces and robust engineering Lead cross-team technical design sessions and architectural reviews Provide mentorship, pair programming, and code reviews for other engineers across the AI function Innovation & Culture Stay ahead of developments in MLOps, LLM infrastructure, and AI engineering best practices Influence long-term strategic direction for ML tooling and delivery across More ❯

journey! As a Staff Machine Learning Engineer, youll play a pivotal role in designing, scaling, and evolving the machine learning infrastructure that powers Compare the Markets most ambitious AI products. From LLM-based personalisation to real-time optimisation systems, youll help define how models are developed, deployed, and maintained in productionreliably and responsibly. This is a high-impact … engineering to lead delivery of complex ML systems. Youll also define the core MLOps capabilities for the business and establish the standards and patterns that accelerate safe, scalable AI deployment across teams. Everyone is welcome! We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an … production with clear interfaces and robust engineering Lead cross-team technical design sessions and architectural reviews Provide mentorship, pair programming, and code reviews for other engineers across the AI function Innovation & Culture Stay ahead of developments in MLOps, LLM infrastructure, and AI engineering best practices Influence long-term strategic direction for ML tooling and delivery across More ❯

London, United Kingdom Posted on 21/04/2025 Job Description Coreloops is a modern financial management system, powered by AI, that helps construction contractors to automate cost tracking and get real-time insights on project spend. Coreloops automates hours of manual cost reconciliation so project teams can flag overspend earlier and see which cost categories are … Experience for our growing customer base. Collaborate with the founder to define project goals, scope, and technical requirements, ensuring alignment with customer needs. Explore how we can use AI model improvements to streamline our customers' day-to-day operations. Provide technical guidance, architectural expertise, and code reviews to maintain a robust and maintainable codebase. Requirements Experience working in … new platforms from scratch. Passionate about writing code that solves problems for customers. A strong sense of the need to balance speed with code quality. Experience building on AI models such as Vertex AI, OpenAI, or Llama (not required). Experience building integrations either via an IPaaS or directly, ideally with accounting & project management More ❯

Hybrid role based in London Role Overview The Data Scientist role will be responsible for designing, developing, and implementing advanced AI and machine learning models, utilizing both traditional and emerging approaches to address complex business challenges. This position is well-suited for with a PhD/Masters or equivalent in Statistics, Machine Learning, or Artificial Intelligence with a … and cutting-edge Large Language Models in business settings. This is a high-impact role that blends hands-on model development with practical leadership in scaling ML/AI systems across the business. This position reports to the Chief Risk Officer and collaborates closely with engineering, product, and risk teams to ensure robust and impactful solutions. About Uncapped … Python, SQL, and one of Pytorch, Tensorflow, Scikit-learn, with daily experience in writing, debugging, and optimising code. ML Ops Knowledge: Familiarity with tools like MLflow, Kubeflow, or Vertex AI, and experience implementing CI/CD pipelines for machine learning. Understanding of Financial Services: Financial Services understanding is a plus, ideally in a lending environment. Strong More ❯

consultancy. At Qodea, you'll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We're driven by ideas and powered by our people. … big data processing tools such as Hadoop or Spark Cloud experience; GCP specifically in this case, including services such as Cloud Run, Cloud Functions, BigQuery, GCS, Secret Manager, Vertex AI etc. Experience with Terraform Prior experience in a customer-facing consultancy role would be highly desirable Experience in working with agile software engineering teams How You More ❯

consultancy. At Qodea, you'll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We're driven by ideas and powered by our people. … big data processing tools such as Hadoop or Spark Cloud experience; GCP specifically in this case, including services such as Cloud Run, Cloud Functions, BigQuery, GCS, Secret Manager, Vertex AI etc. Experience with Terraform Prior experience in a customer-facing consultancy role would be highly desirable Experience in working with agile software engineering teams How You More ❯

and how to write efficient, optimised code. Knowledge of the insurance industry would be an advantage but not essential. Ideally you will have experience working with the GCP vertex AI, or similar services. This role will be based in our London office in a 50/50 Hybrid mode. We match your pension contributions up to More ❯

Role: AI Engineer/AI Architect Location: London, Edinburgh Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill … in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world. You'll work … on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level. Your background will involve contributing across projects including software engineering, technology architecture solution implementation, product selection and application strategy definition More ❯