London, England, United Kingdom Hybrid / WFH Options
Aimpoint Digital
Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which More ❯
London, England, United Kingdom Hybrid / WFH Options
LSEG
Join to apply for the Senior AI Platform Engineer role at LSEG 2 weeks ago Be among the first 25 applicants Join to apply for the Senior AI Platform Engineer role at LSEG About US About US LSEG (London Stock More ❯
MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of LargeLanguageModel (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. Experience More ❯
MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of LargeLanguageModel (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. Experience More ❯
related areas. Experience with Ray, MLFlow, and/or other distributed training frameworks. Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep knowledge of LLM techniques, including Agents, Planning, and Reasoning. Experience deploying ML models on cloud platforms such as AWS, Sagemaker, EKS, etc. Experience working with large-scale MLOps pipelines and deploying models to More ❯
London, England, United Kingdom Hybrid / WFH Options
Axiom Software Solutions Limited
tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge of ML, and basic knowledge of AI, NLP, and LargeLanguage Models (LLM) • Comfortable working with Python and Jupyter Notebooks • Should have in-depth knowledge and familiarity … e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM (Zero/Few Shot Training) or any POC to create SML • Expertise in optimizing AI solutions for runtime cost. • Expertise in conversational system architecture • Extensive knowledge on API’s & Integrations More ❯
team members on code development. To Qualify for the Role, You Must Have As a Senior Data Scientist, you should have strong commercial development experience in developing and deploying LLM-based applications. A solid understanding of AI/ML algorithms, data science, and machine learning is essential. Rapid prototyping of Data Science and Machine Learning problems on large datasets. Building More ❯
London, England, United Kingdom Hybrid / WFH Options
Publicis Groupe Holdings B.V
Company description Publicis Media helps clients drive sustainable business growth by harnessing the modern media landscape to drive one-to-one consumer connections at scale. Publicis Media UK is made up of 2000 people working across market-leading media agencies More ❯
due diligence for grant funding and other investors. Relevant MS or PhD degrees. Proven experience in Agile, Prince 2 Agile and Scrum methodologies. Experience in Generative AI and various LLM implementations. More ❯
due diligence for grant funding and other investors. Relevant MS or PhD degrees Proven experience in Agile, Prince 2 Agile and Scrum methodologies. Experience in Generative AI and various LLM implementation. Seniority level Seniority level Director Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Telecommunications Referrals increase your chances of interviewing at AWTG More ❯
due diligence for grant funding and other investors. Relevant MS or PhD degrees Proven experience in Agile, Prince 2 Agile and Scrum methodologies. Experience in Generative AI and various LLM implementation. Seniority level Seniority level Director Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Telecommunications Referrals increase your chances of interviewing at AWTG More ❯
due diligence for grant funding and other investors. Relevant MS or PhD degrees Proven experience in Agile, Prince 2 Agile and Scrum methodologies. Experience in Generative AI and various LLM implementation. Seniority level Seniority levelDirector Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesTelecommunications Referrals increase your chances of interviewing at AWTG Ltd by 2x Sign More ❯
About US LSEG (London Stock Exchange Group) is a world-leading financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering services across Data & Analytics, Capital Markets, and Post Trade. Backed More ❯
London, England, United Kingdom Hybrid / WFH Options
Registers of Scotland
text search. Proficient in coding for data science using Python. Demonstrates good coding practice like version control, testing and containerisation. Comfortable working in a Linux environment. Some familiarity with LLM/GenAI prompting and augmentation for textual analysis, with an interest in learning more. Experience working with commonly used data science libraries and frameworks, e.g. Spacy, pandas, numpy, scikit-learn More ❯
MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of LargeLanguageModel (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. Experience More ❯
MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of LargeLanguageModel (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. Experience More ❯
MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of LargeLanguageModel (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. Experience More ❯
MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of LargeLanguageModel (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. Experience More ❯
related areas. Experience with Ray, MLFlow, and/or other distributed training frameworks. Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep knowledge of LLM techniques, including Agents, Planning, Reasoning. Experience deploying ML models on cloud platforms like AWS, Sagemaker, EKS. Experience with large-scale MLOps pipelines and deploying models to production. About Us J.P. More ❯
related areas. Experience with Ray, MLFlow, or other distributed training frameworks. Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep knowledge of LargeModel (LLM) techniques, including Agents, Planning, and Reasoning. Experience deploying ML models on cloud platforms such as AWS, Sagemaker, EKS, etc. Experience with large-scale MLOps pipelines and deploying models to production More ❯
Job Title: Generative AI Architect – Professional Services Job Description: We are seeking a strategic and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI More ❯
Job Title: Generative AI Architect – Professional Services Job Description: We are seeking a strategic and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI More ❯
City Of London, England, United Kingdom Hybrid / WFH Options
CipherTek Recruitment
Data Scientists and teams across Front Office Quant teams, Sales/Trading desks to build, monitor, and maintain AI/ML solutions. Adopt cutting-edge advancements in GenAI and LLM technologies to keep the platform at the forefront of innovation. Align with the bank's central Enterprise Advanced Analytics & Artificial Intelligence group to ensure alignment with organizational goals, strategies, and … at least 3 years in AI/ML engineering. Knowledge in Azure Databricks and associated services. Proficiency with ML frameworks and libraries in Python. Proven experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a … problem-solving, analytical, and communication skills. Why Join Us? Work on a greenfield project with a major global investment bank. Gain deep expertise in MLOps, Azure Databricks, GenAI, and LLM technologies. Play a key role in building scalable AI/ML solutions across Capital Markets. Remote work flexibility with a competitive day rate. If you are a talented MLOps professional More ❯
City of London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Data Scientists and teams across Front Office Quant teams, Sales/Trading desks to build, monitor, and maintain AI/ML solutions. Adopt cutting-edge advancements in GenAI and LLM technologies to keep the platform at the forefront of innovation. Align with the bank's central Enterprise Advanced Analytics & Artificial Intelligence group to ensure alignment with organizational goals, strategies, and … at least 3 years in AI/ML engineering. Knowledge in Azure Databricks and associated services. Proficiency with ML frameworks and libraries in Python. Proven experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a … problem-solving, analytical, and communication skills. Why Join Us? Work on a greenfield project with a major global investment bank. Gain deep expertise in MLOps, Azure Databricks, GenAI, and LLM technologies. Play a key role in building scalable AI/ML solutions across Capital Markets. Remote work flexibility with a competitive day rate. If you are a talented MLOps professional More ❯
Role Overview As Head of AI, you will be the primary technical driver of all AI/ML initiatives. You'll report directly to the CEO/CTO and own the full life cycle of our AI roadmap-from research More ❯