51 to 75 of 119 Machine Learning Jobs in West London

business development, sales, or channel development in the technology industry. Experience participating in or coordinating artificial intelligence and machine learning (AI/ML) technical transformations utilizing a forward deployed engineering (FDE) or embedded delivery model. Preferred qualifications: Experience launching partner products and solutions, including complex channel ...

technical sales engineering or software engineering with cloud-native architectures. Experience architecting, training, or deploying machine learning models and managing AI/ML infrastructure. Experience working with the early-stage startup ecosystem, including founders, venture firms, or accelerators. Preferred qualifications: Direct experience as a startup Founder, Co-Founder … community through open-source contributions, technical publications, or speaking at industry conferences in the field of AI/ML. Deep expertise in AI/ML, specifically with large language models (LLMs) and generative AI applications. Ability to communicate in English and French fluently to communicate in this customer-facing sales ...

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...

Tech Lead level, with the ability to be both highly technical and an effective people manager Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience ...

solve their most critical business problems. Minimum qualifications: Currently enrolled in or graduated from a PhD program. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Experience in computer science and software design. Preferred qualifications: Experience … Generative AI. Experience with data structures and algorithms. Knowledge of Python programming. Responsibilities: Help scaling data optimization techniques improving the performance and quality of ML models. Work closely with our Research teams as well as ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques. ...

such as CI/CD, Application Resiliency, and Security Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies Your Role Level JPMorganChase ...

Typescript. 3 years of experience with front-end frameworks, full-stack development, or API development. 1 year of experience with software design, architecture, and machine learning. 1 year of experience with agentic coding. Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. ...

Artifactory, Nexus) and secure software supply chain practices. Knowledge of observability systems, telemetry frameworks, and performance optimization for build pipelines. Exposure to AI/ML-driven build acceleration and failure prediction tooling. Prior hands-on software development experience building customer-facing features. At BNY, our culture allows ...

London. In this role, you'll make an impact in the following ways: Lead complex data analysis initiatives using advanced statistical techniques and machine learning models to generate actionable insights that support business strategy and operational efficiency. Partner with cross-functional teams to design and implement data-driven ...

technical and non-technical stakeholders. Preferred Qualifications Experience building centralized internal platforms or shared engineering services for operational or enterprise users. Experience applying AIOps, machine learning, or intelligent automation within production support or reliability engineering environments. Exposure to CI/CD pipelines, infrastructure as code, API-driven automation ...

data lake patterns, and PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical ...

activations, secure data pipelines, and custom API connections. Deep expertise across Google's advertising platforms (Google Ads, GMP) and Google Cloud (BigQuery, AI/ML, Data Analytics). Ability to translate complex technical solutions into persuasive storytelling for executive audiences. Ability to bridge pre-sales agreement shaping, architectural foresight ...

technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will ...

expertise in system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages and technical disciplines (cloud, AI, ML, etc.) Ability to tackle design and functionality challenges independently Demonstrated experience with enterprise-authorized AI-assisted software development tools Strong understanding of responsible AI use, including ...

experience in Partner Management, Technical Account Management, Solutions Architecture, or Professional Services within a cloud computing environment. Experience leading, coordinating, or architecting AI/ML technical transformations. Experience of the GenAI stack, cloud infrastructure constraints, and machine learning life-cycles. Preferred qualifications: Master's degree in Computer Science ...

Senior Machine Learning Engineer to work on AI, NLP, and data visualization projects for major clients. The role focuses on applying ML techniques within a fast-growing analytics environment, contributing to innovative solutions. The position requires a strong STEM background and hands-on experience with ML algorithms ...

learn new things.**It is also considered a bonus if you have:*** Understanding of service-oriented architectures and building cloud-based products.* Experience with Machine Learning, Computer Vision, AI technologies.* We are looking for a team player who thinks holistically, enjoys solving complex problems and thrives working autonomously … scheme.* Employee stock purchase plan.* Flexible working options.* Private medical care.* Life assurance.* Enhanced maternity and paternity pay.* Career development support and wide ranging learning opportunities.* Employee health and wellbeing support EAP, wellbeing guidance etc.* Carbon neutral initiatives/goals.* Corporate social responsibility initiatives including support for volunteering days. ...

controls. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer ...

controls. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer ...

tooling Proficiency with design and prototyping tools such as Figma for collaborating on user interface and experience requirements Experience with traditional artificial intelligence and machine learning techniques, such as predictive analysis Prior experience serving as an Application Owner or in an equivalent application governance and lifecycle management role ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role Lendable is revolutionising the credit card industry by making financial tools ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role Personal loans are the fastest-growing consumer credit product ...

Experience with modern cloud-native development Git, automated testing and CI/CD Experience working within Agile multidisciplinary engineering teams Experience with AI/ML, LLMs, RAG, semantic search, knowledge graphs, Docker, Kubernetes or Defence/National Security programmes would be advantageous. Security Clearance Candidates must hold active DV (Developed ...

Large Language Model (LLM) interfaces into workflows. Preferred qualifications: Experience in data infrastructure and analytics, software experimentation systems, or both. Familiarity with AI/ML infrastructure. Excellent communication skills (e.g,, written, verbal). Strong cross-functional and cross-organizational collaboration skills, especially with engineering and data science. Adept at using ...

experience managing an Analytics or Data Science team, including prioritisation, roadmapping, coaching and performance management. Experiences with experimental design and supervised/unsupervised ML approaches for regression and classification tasks. Experience of root cause analysis to ensure that problems are solved at both a tactical and strategic level. Experience delivering ...