376 to 400 of 472 Machine Learning Jobs in London

AI Engineers | Senior AI Engineers | AI Architects & Technical AI Leaders London | Manchester | Scotland | Hybrid The Financial Services industry is entering its next wave of transformation, with AI rapidly becoming a strategic capability across banking, payments ...

tech companywants to hear from you. Our clients mission is to help subscription businesses drive customer growth and predict revenue more accurately using machine learning and AI. Their platform empowers businesses to improve customer loyalty and unlock greater revenue from existing customers. Recently listed in Sifteds … health insurance quality care when you need it most Monthly wellness allowance use it on gym memberships, yoga, mental health, healthy food & more Annual learning & development budget invest in your growth Hybrid working 3 days in the office, 2 days where it suits you Top-tier equipment everything ...

years, placing 4 people with them, and all 4 are still with the company. Our client is a rapidly growing AI and Machine Learning company, specialising in the research, development and deployment of ad... CRWG1_UKTJ ...

years, placing 4 people with them, and all 4 are still with the company. Our client is a rapidly growing AI and Machine Learning company, specialising in the research, xkybehq development and deployment of ad Find out if this opportunity is a good fit by reading ...

Lead level Collaborate within a multidisciplinary data team to deliver high-impact solutions Your Skills and Experience Strong commercial experience in AI or machine learning engineering Proven experience working with multimodal data such as text, audio, or video Experience building and deploying AI models into production environments Familiarity ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions click apply for full job details ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market, with at least 5+ years selling AI, ML, and data-led solutions. Exposure to the EMEA region is highly desirab... LFWQ1_UKTJ ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure to the EMEA region is highly desirab... WKCL1_UKTJ ...

mobile platforms./p p The ideal candidate has a strong software engineering foundation, a passion for design, and experience in AI/ML or startup environments. Compensation will be equity-based./p #J-18808-Ljbffr ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market, with at least 5+ years selling AI, ML, and data-led solutions. Exposure xxuwjjq to the EMEA region is highly desirab Please click on the apply button to read the full job description ...

About Optibus: is a unified software platform revolutionizing public transportation planning, scheduling, and operations in over 7,000 cities worldwide. Using AI, ML, and optimization algorithms, it empowers agencies to design more efficient, equitable, and sustainable transit networks, enhancing passenger access, reducing emissions, and improving driver conditions. With offices globally ...

development Exposure to tooling such as Terraform, APIs, or CI/CD pipelines (desirable) Experience working in Business Intelligence/analytics environments AI/ML Exposure (Essential) Candidates must demonstrate practical exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting … enabled data products or workflows Understanding generative AI concepts, including prompt engineering Exposure to ML pipelines or collaboration with Data Science teams (This does not need to be a core specialism but must be clearly evidenced.) Experience Required Typically 4-8+ years' experience in data engineering/BI roles ...

maintaining developer-facing platforms, SDKs, or internal tools Comfortable articulating technical architecture, vision, and strategy to both technical and non-technical audiences AI/ML & Ecosystem Knowledge Hands-on experience with LLMs, agentic frameworks, and GenAI tooling (models, APIs, orchestration platforms) Practical experience with RAG architectures, prompt engineering, fine-tuning … advocacy Deeply committed to enabling others and multiplying team impact across 500+ engineers Pragmatic - prefers safely shipping good solutions now over perfect solutions later Learning-oriented - actively seeks to deepen AI knowledge while staying grounded in engineering fundamentals Accountability - takes responsibility for platform reliability, team adoption, and driving measurable ...

Solution Architects through to senior technical leadership. What you'll be doing Designing AI and GenAI architecture strategies and roadmaps Building scalable AI/ML and Agentic AI platforms Working across LLMs, RAG, embeddings and semantic search Supporting AI deployment, governance and integration patterns Collaborating with engineering, data, DevOps … frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable AI deployment and integration patterns Financial Services or regulated industry experience essential Strong ...

integration architecture, covering API management, event-driven patterns (Kafka, EventBridge), messaging (JMS, MQ), ETL/ELT pipelines, microservices and service mesh topologies. Champion AI, ML and agentic automation opportunities within the trading technology estate including intelligent scheduling, anomaly detection, automated P&L attribution, predictive maintenance and agentic workflow orchestration (e.g. … migration planning. Working knowledge of Foundry (Palantir) or equivalent analytical platforms for downstream data consumption, operational analytics and decision support. Experience architecting AI/ML and agentic automation solutions within trading technology estates, including LLM integration, RAG patterns, intelligent scheduling and predictive analytics. Familiarity with Agile/SAFe delivery frameworks ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

robust and explosive DataOps business. Series C funded (raised over $60m this year ). They have built a product that leans into blending machine learning models and data annotation to help businesses save time and money! What You’ll Get This is a key hire ...

driven initiatives. * This role will suit someone with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools. * Design, build and optimise data pipelines and data platform components within AWS * Support and enhance Business Intelligence reporting and analytics capabilities * Contribute … services (e.g. AWS Bedrock or similar) * Supporting AI-enabled data products or workflows * Understanding of generative AI/prompt engineering concepts * Exposure to ML pipelines or collaborating with Data Science teams * Typically 4-8+ years' experience in data engineering/BI roles * Proven experience delivering AWS-based data solutions ...

frameworks Embed data quality checks by default (schema validation, completeness, freshness, thresholds, alerting) Improve pipeline resilience, monitoring, observability and recovery mechanisms Integrate AI/ML capabilities where appropriate (e.g. anomaly detection, intelligent monitoring) Support delivery of a wider Data Strategy programme , improving consistency and data quality Ensure pipelines are production … strong SLAs Exposure to AI-enabled data pipelines (e.g. anomaly detection, intelligent monitoring) Experience with data quality at scale Understanding of MLOps or deploying ML models into production Must-Haves Strong hands-on experience with GCP, Python and Scala Proven track record delivering production-grade data pipelines Deep expertise across ...

integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker ...

integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker ...

prioritisation) Omni-channel decisioning (real-time & outbound) Decision governance, explainability, regulatory awareness Strong stakeholder management & Agile delivery Lead NBA Data Scientist Design and optimise ML models driving NBA decisioning. Key Skills: Pega CDH adaptive models Strong MLB/RTIM/arbitration logic knowledge Advanced Python & ML development A/… people with a supportive culture, rooted in our values and driven by our purpose. Promoting a culture of inclusion, collaboration, well-being, and learning and development. Providing increased agility and flexibility within our hybrid working model Investing in employees’ growth through ongoing training and development Autonomy to take ownership ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

expand AI professional services offerings, contributing to go-to-market strategies and pre-sales activities including proposals and solution positioning Collaborate with Data Scientists, ML Engineers, and cross-functional teams to deliver end-to-end AI solutions that combine technical excellence with business impact Drive innovation by contributing … internal capability development REQUIREMENTS Proven track record of building and delivering large-scale AI systems from concept to production, with expertise in Generative AI, ML frameworks, and MLOps Strong consulting and advisory skills, with the ability to navigate ambiguity and maintain focus on client success in fast-paced environments Demonstrated ...

require a Data Science Consultant to join their Defence & National Security team. You will design, build, and deploy scalable data pipelines and AI/ML solutions that directly support vital national security projects. In order to be successful, you will have the following experience: Experienced in the Python data stack … ready data engineering pipelines Utilise AWS-based infrastructure and services to deploy and manage data workflows Evaluate and implement a variety of AI and ML solutions to solve complex client problems, integrating models smoothly into production systems Creative visualisation techniques to design impactful, intuitive data visuals and dashboards Adhere ...