design and present compelling solutions, and guide customers through the implementation and adoption of our products and services, with a focus on Generative AI solutions on Google Cloud. This role requires a blend of technical depth, business acumen, and strong communication skills, with a specialization in applying Generative … AI technologies to solve complex business problems. A Customer Engineer needs a blend of strong technical skills in cloud-native technologies, including AI/ML, and excellent communication and problem-solving abilities to assist customers with their cloud solutions. Core Focus: GoogleCloud Platform (GCP) Expertise … 's role in enabling generative AI solutions. GCP AI/ML Services: Knowledge of other relevant GoogleCloudAI/ML services and APIs (e.g., Natural Language API, Vision API). Infrastructure Automation: IaC with Terraform or Cloud Deployment Manager. Cloud Solution More ❯
manage GCP environments, including compute, storage, and networking components. o Collaborate with cross-functional teams to understand requirements and provide scalable infrastructure solutions. VertexAI and BigQuery: o Hands-on experience with VertexAI for generative AI solutions and BigQuery … for data storage and analytics. o Work closely with data scientists and AI specialists to integrate and optimize solutions using VertexAI on GCP. o Implement and manage machine learning pipelines and models within the VertexAI environment. Wiz Security More ❯
as of $13+ billion. Role Overview: We are seeking talented and passionate SeniorAI Engineers to join our team and contribute to building innovative AI-powered solutions. The role involves designing, developing, and deploying models using VertexAI and Gemini LLM to automate document extraction … classification, and analysis. Key Responsibilities: Design, develop, and deploy DocAI models using VertexAI and Gemini LLM for extracting data and retrieving insights Migrate existing document processing solutions from legacy systems to the VertexAI platform. Optimize DocAI models for accuracy, performance … and scalability. Collaborate with subject matter experts (SMEs) to validate and refine AI-generated content, ensuring accuracy and compliance with bank policies. Work closely with cross-functional teams to implement and integrate DocAI solutions into existing workflows. Stay up to date on the latest advancements in DocAI and More ❯
as of $13+ billion. Role Overview: We are seeking talented and passionate SeniorAI Engineers to join our team and contribute to building innovative AI-powered solutions. The role involves designing, developing, and deploying models using VertexAI and Gemini LLM to automate document extraction … classification, and analysis. Key Responsibilities: Design, develop, and deploy DocAI models using VertexAI and Gemini LLM for extracting data and retrieving insights Migrate existing document processing solutions from legacy systems to the VertexAI platform. Optimize DocAI models for accuracy, performance … and scalability. Collaborate with subject matter experts (SMEs) to validate and refine AI-generated content, ensuring accuracy and compliance with bank policies. Work closely with cross-functional teams to implement and integrate DocAI solutions into existing workflows. Stay up to date on the latest advancements in DocAI and More ❯
shape the career you truly desire with us. YOUR ROLE In this role you will play a key role in: Delivering or leading AI projects , planning and executing activities using Agile methodologies, tracking progress, managing risks, and ensuring strategic alignment with client ambitions. Spearheading Workplace AI … technical colleagues, to respond to latest client demands in innovation and to cement our position in the market. Helping to mature the Workplace AI offering applying out-of-the-box thinking to new business problems, defining solutions that are feasible, viable, desirable, and sustainable, while delivering impactful strategic … presentations. Contributing to the collective upskilling of our team , instigating new trends in AI and helping your peers keep up with a fast-moving market, identifying and sharing new learnings that can be used to better support our clients. As part of your role, you will be expected More ❯
re building a different way to create; democratising creativity and empowering brands and Creators to build value together. About The Role As an AI Engineer, you'll use Generative AI to enhance operations, power client-facing products, and strengthen our data-driven culture. Owning the full … AI lifecycle, you'll take ideas from proof of concept to deployment and continuous evaluation. Our AI initiatives span categorization, summarization, data analysis, automated content generation, and rich media analysis -leveraging both existing AI/ML tools (LLMs, RAG, embeddings, agentic workflows) and custom … solutions. You'll collaborate across teams to build practical, scalable AI solutions - where precision matters. With a "you build it, you run it" mindset, you'll stay hands-on throughout development. We're looking for an AI-first engineer who drives real value with LLMs and More ❯
re building a different way to create; democratising creativity and empowering brands and Creators to build value together. About The Role As an AI Engineer, you'll use Generative AI to enhance operations, power client-facing products, and strengthen our data-driven culture. Owning the full … AI lifecycle, you'll take ideas from proof of concept to deployment and continuous evaluation. Our AI initiatives span categorization, summarization, data analysis, automated content generation, and rich media analysis - leveraging both existing AI/ML tools (LLMs, RAG, embeddings, agentic workflows) and custom … solutions. You'll collaborate across teams to build practical, scalable AI solutions - where precision matters. With a "you build it, you run it" mindset, you'll stay hands-on throughout development. We're looking for an AI-first engineer who drives real value with LLMs and More ❯
is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and … decision-makers, increasing productivity and reducing time spent on "data mechanics". Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent. Aggressively engineering our data at scale, as one unified asset, to unlock the value of … highly skilled and experienced Senior Product Manager, AIML Platform. In this role, you will be responsible for developing the product strategy of our AI/ML Platform to meet customer needs. You will partner closely with the leaders of Onyx's customer organizations, including AI/ More ❯
architectures. Experience building and leading high-performing research or engineering teams, fostering a positive and inclusive culture. Experience being published in ML/AI conferences or journals, demonstrating a strong research background and ability to communicate complex technical concepts effectively. Familiarity with agent-based architectures, tool use, reinforcement … forward. The Domain Applied ML team is an impactful group within Core ML, dedicated to accelerating the adoption of cutting-edge ML/AI across Google. We bridge the gap between research and production by … developing standardized, efficient ML solutions in critical domains like parameter-efficient tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & CloudAI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc. More ❯
architectures. Experience building and leading high-performing research or engineering teams, fostering a positive and inclusive culture. Experience being published in ML/AI conferences or journals, demonstrating a strong research background and ability to communicate complex technical concepts effectively. Familiarity with agent-based architectures, tool use, reinforcement … forward. The Domain Applied ML team is an impactful group within Core ML, dedicated to accelerating the adoption of cutting-edge ML/AI across Google. We bridge the gap between research and production by … developing standardized, efficient ML solutions in critical domains like parameter-efficient tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & CloudAI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc. More ❯
to be at its vanguard! This is your opportunity to move beyond incremental improvements and architect truly transformative solutions, shaping the future of AI and accelerated computing for Google and the world. While known for pioneering work with TPUs, GPUs are an equally vital and rapidly expanding frontier … performance for our ML models, adapting to ML workloads, achieving results, and influencing next-generation GPU architectures via strategic partnerships. The ML, Systems, & CloudAI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc. … a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including GoogleCloud's VertexAI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Build optimizations that improve benchmarks, but also More ❯
Python Solid understanding of ML fundamentals, algorithms, and techniques, including supervised, unsupervised, and reinforcement learning, and experience in NLP, computer vision, and generative AI Preferred Qualifications Experience with generative models such as diffusion models, GANs, and transformers for various media formats, including prompt engineering, fine-tuning, and evaluation … learning, and actor-critic architectures Experience leading high-performing research or engineering teams and fostering an inclusive culture Published research in ML/AI conferences or journals, demonstrating strong communication of complex technical concepts Familiarity with agent-based architectures, tool use, reinforcement learning, and techniques for evaluating and … adoption across Google by developing efficient solutions in areas like parameter tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & CloudAI (MSCA) organization manages the hardware, software, ML, and infrastructure for all Google services and GoogleCloud, prioritizing security, efficiency, and reliability to shape More ❯
scale Solid understanding of SQL Proficiency in unit testing, CI/CD, model management and experiment tracking Desirable Experience with Deep Learning, Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and … mentoring team members Experience with workflow orchestration technologies such as Airflow, Dagster or Prefect Experience with technologies such as: GoogleCloud Platform, particularly VertexAI Docker and Kubernetes Perks of joining us: Company pension contributions at 5% Individualised training budget for you to learn on the More ❯
scale Solid understanding of SQL Proficiency in unit testing, CI/CD, model management and experiment tracking Desirable Experience with Deep Learning, Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and … mentoring team members Experience with workflow orchestration technologies such as Airflow, Dagster or Prefect Experience with technologies such as: GoogleCloud Platform, particularly VertexAI Docker and Kubernetes Perks of joining us: Company pension contributions at 5% Individualised training budget for you to learn on the More ❯
a catalyst for innovation, a mentor to junior team members, and a trusted advisor to stakeholders across the business, helping to implement our AI strategy and align data science capabilities with business objectives. Your day-to-day: Leading strategic initiatives from conception to delivery, including stakeholder management and … successful technical mentorship and team development Demonstrated cross-functional collaboration skills across engineering, product, and business teams Desirable Expertise in Deep Learning, Generative AI and Reinforcement Learning Advanced knowledge of Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry Experience … test experiments Mastery of workflow orchestration technologies such as Airflow, Dagster or Prefect Expert knowledge of technologies such as: GoogleCloud Platform, particularly VertexAI Docker and Kubernetes Infrastructure as Code Experience establishing data science best practices across an organisation Perks of joining us: Company pension More ❯
of GenAI where beneficial. This is a unique opportunity to play a central role in transforming the organization into a truly data- and AI-driven enterprise. If you're excited by the possibilities of emerging technologies and looking for a step-up challenge, we’d love to hear … particularly with exposure to data and digital transformation. Degree in Computer Science, Information Technology, Engineering, or a related field. Hands-on experience with AI/ML technologies, including GenAI platforms (e.g. GPT, Claude, VertexAI, Azure OpenAI). Strong experience in leveraging data and More ❯
of GenAI where beneficial. This is a unique opportunity to play a central role in transforming the organization into a truly data- and AI-driven enterprise. If you're excited by the possibilities of emerging technologies and looking for a step-up challenge, we’d love to hear … particularly with exposure to data and digital transformation. Degree in Computer Science, Information Technology, Engineering, or a related field. Hands-on experience with AI/ML technologies, including GenAI platforms (e.g. GPT, Claude, VertexAI, Azure OpenAI). Strong experience in leveraging data and More ❯
streamlines response efforts, and provides tools to fix issues quickly. Over the last 9 months, we've built some of the most ambitious AI-native features in our product. We're now working on Investigations-an AI agent that identifies problems, explains root causes, and eventually … fixes issues for you. We're not just applying AI to our product; we're reimagining incident response with AI, working with cutting-edge technologies to build something completely new. What we think we can achieve keeps increasing, and we're looking to grow the team … with AI engineers to make it happen. What AI Engineering looks like here We've gone from sprinkling moments of magic with AI to building an investigative agent, a copilot and more. All powered by a world-class internal platform: one that helps us More ❯
maintained, and monitored efficiently in production. You'll have the opportunity to improve model performance and infrastructure, all while contributing to Trustpilot's AI-based solutions. What you'll be doing: Model Deployment: Collaborate with data scientists to take machine learning models from development to production, ensuring quality … while adhering to best practices in machine learning and software engineering. Optimize: Continuously improve our infrastructure, ensuring we remain at the forefront of AI model production and delivery. Who you are: Solid technical foundation in both machine learning and software engineering. Experience deploying machine learning models in production … PyTorch, scikit-learn). Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines for machine learning (e.g., VertexAI). Experience with data processing frameworks and tools, particularly Apache Beam/Dataflow is highly desirable. Knowledge of monitoring and maintaining More ❯
AI Engineer About Elsewhen: Elsewhen, a London-based consultancy, designs digital products and services for clients like Spotify, Google, Inmarsat, and Zego. Over the past decade, we have built a workplace prioritising impact, drive, openness, and friendliness. We value outcomes over hours and agility over rigid processes. If … you're a Python Engineer with an interest in AI, this is a great opportunity to gain hands-on GenAI experience while working on real-world projects, with the support and training needed to grow your GenAI skills. We're looking for an AI engineer to … join our biggest project and help bring LLM capabilities into our existing product. You will dive into AI engineering, building LLM powered systems and exploring multi-agent architectures within an enterprise organisation. Work Environment: Remote-first setup: Fully remote work with the option to use a WeWork membership More ❯
for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes. About the company Company Anecdote/Anecdote is an innovative, AI-first startup revolutionizing how companies analyze customer feedback. Our AI-powered platform consolidates feedback from app reviews, support chats, surveys, and social media into a single, easily accessible space. This enables companies like Grubhub, Dropbox, and Careem to collect and derive actionable insights and deliver a … integrations. Ensure they are reliable and responsive. Own the Integrations: Implement new connections and be the master and owner of these integrations. Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification 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 … 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 … 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 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 … 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 … 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 More ❯
team that's revolutionizing the alternative investment industry. Define your own future with Allvue Systems! Responsibilities Define and own the end-to-end AI strategy, including model selection, data pipelines, and infrastructure. Lead the development of the next-gen AI platform for Allvue Systems, working closely … with a team of engineers and developers. Design innovative and cutting-edge AI solutions that will transform the alternative investment industry. Stay up-to-date with the latest advancements and trends in AI technology to ensure the platform remains at the forefront of the industry. Provide … technical expertise and guidance to the team, ensuring the successful implementation and integration of AI solutions. Collaborate with various departments and stakeholders to identify and prioritize AI needs and requirements. Conduct research and experiments to continuously improve and enhance the AI platform. Collaborate with More ❯
and interpretation of ML results. Job responsibilities Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI/ML lifecycle management. Strong experience deploying and productionising ML models. Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data … technologies. Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight Skills with MLOps concepts and principles. Experience with cloud platforms (e.g., AWS, GoogleCloud, Azure) and containerization tools (e.g., Docker, Kubernetes). Proficiency in programming languages such as Python … experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI). What we offer Culture of caring: At GlobalLogic, we prioritize a culture of caring. Across every region and department, at More ❯
