526 to 550 of 630 Machine Learning Jobs in London

time Job Shift Day Job Description The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers … What You'll Do Own the Catalog Vision & Strategy Define the multi-year product vision and roadmap for firmwide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north-star metrics tied to real impact: time-to-data, publishing velocity, discovery-to-integration conversion, repeat ...

experience across all Identity and Access Management core disciples including identity management, identity governance and administration, privileged access, and conditional access and in particular, machine identities. It also requires deep technical skills in the DevSecOps. This role will support the transformation of IAM into a modern, automated, predictable … SDLC from the ground up, ensuring AI models and systems are secure by default. Define and enforce secure coding practices for AI/ML components and APIs. Identify and assess threats specific to AI systems, such as model inversion, data poisoning, adversarial attacks, and model theft. Implement model encryption ...

based on user feedback Strong problem-solving skills and ability to work independently with minimal supervision Nice-to-have Bonus: Experience with AI/ML systems, LLMs, or working in regulated industries (fintech, compliance, etc.) Bonus: Experience with high-scalable AWS architecture Our tech stack NodeJS/Typescript NextJS Python … actively, embrace feedback and foster a collaborative environment where ideas are shared openly. You are confident in your expertise while recognising the value of learning from others and adapting to change. Budget: Base salary £60k-£90k Equity: 0.5-1.0% Negotiable, depending on preferences The interview process ⏳ We are seeking ...

Knowledge of IAM design, network security controls, encryption, secrets management, and cloud identity principles. Understanding of modern cloud architectures (serverless, microservices, managed AI/ML services) and their associated security risks. Ability to collaborate effectively with AI engineers, developers, and cloud teams to ensure secure implementation of AI workloads. Desirable … vector databases, model APIs, or data pipelines used by LLMs. Knowledge of responsible AI principles, model governance, or AI-specific threat modelling (e.g., adversarial ML, data poisoning, prompt injection). Background working in regulated industries such as Financial Services or Insurance. Strong stakeholder communication skills, including the ability to influence ...

from the ground up. What you'll own: Build end-to-end product features across the full stack (frontend, backend, infra) Integrate AI/ML capabilities — risk stratification, smart triage, personalisation Build privacy-first, regulatory-compliant infrastructure (UK GDPR, NHS DSPT, MHRA) Shape and evolve the architecture and technical foundations … stage product teams: you've shipped and scaled full stack products Strong backend (Node.js, Python/Flask, FastAPI) and frontend (React, Next.js, Vue) fundamentals ML/data science proficiency: Python, SQL, pandas, scikit-learn, PyTorch/TensorFlow Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Proven ability ...

Identify performance or reliability bottlenecks and propose improvements. Required Qualifications & Experience Strong experience with Python and Django. Familiarity with Torch (PyTorch) for analytical or ML workloads. Proficiency in SGLang or willingness to learn domain-specific languages. A keen sense of system design and desire to build elegant, maintainable solutions. General … time streaming architectures. Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes/Docker). Exposure to data pipelines, analytics workflows, or ML deployment. Experience working in startup or product-led teams. Why Zuma Labs? Work in a high-impact startup environment where your work immediately affects ...

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers ...

Senior AI/ML Engineer Shaping AI for individuals and business London (Hybrid, 3 days/week) Up to £120k + 10% bonus + £20k equity We're building AI that actually matters. AI is at the centre of every business, what you're working … learning at scale for some of the world's most ambitious organisations and individuals looking to better themselves. As a Senior AI/ML Engineer at Multiverse, you won't just ship models. You'll own the full lifecycle, influence our product roadmap, and leave a tangible mark ...

technologies while collaborating with cross-functional teams to design scalable APIs. The ideal candidate should have a PhD in a quantitative field, significant ML engineering experience, and strong communication skills. This position offers a unique opportunity to innovate and shape the future of AI within the organization. #J-18808-Ljbffr ...

Azure Data Lake). Familiarity with Microsoft Purview and broader governance practices. Dynamics 365 CE and FO integration and analytics. Exposure to AI/ML enablement in Microsoft ecosystem (e.g., Azure ML/AI Foundry/Azure OpenAI), particularly where analytics feeds AI-powered apps. Experience designing BI/data ...

with technical leaders and partner engineering teams. Have a high‐level familiarity with the architecture and operation of large language models and/or ML in general. Experience with prompt engineering, LLM evaluation, and architecting AI‐powered systems. A love of teaching, mentoring, and helping others succeed. Have a passion … partner‐facing solution architect teams through hypergrowth, with direct experience managing senior SAs and developing junior talent in complex partner ecosystem environments. AI/ML Technical Depth + Executive Engagement: Hands‐on experience with AI/ML platforms and enterprise integration patterns, combined with a proven track record engaging ...

Middleware Integration: Practical experience building recipes or connectors in Workato to trigger AI workflows from external business events is a strong plus. · Data & Traditional ML: Experience with Databricks for data engineering (PySpark) or building classical ML models (Scikit-Learn, XGBoost) is beneficial for handling complex data pre-processing and hybrid ...

services Lead technical design reviews and make critical architectural decisions for complex AI initiatives Drive technical strategy for responsible AI, model governance, and production ML operations Partner with senior leadership (CTO, VPs, Directors) to translate business objectives into technical AI roadmaps Influence product and engineering strategy through technical insights … fluency with AI coding assistants (Cursor, GitHub Copilot, Claude) Production experience with AWS cloud services and container orchestration (Kubernetes), including infrastructure design for ML workloads Strong technical communication skills with ability to influence senior stakeholders and drive consensus across teams Strong data engineering capabilities, including dataset creation, ETL development ...

quality and collaborative solutions. Established in 2013, we specialise in cloud migration and development, digital transformation including agile software development, DevOps, automation, data and machine learning. We are seeking a strategic and analytically minded Head of Business Insights to lead our data-driven decision-making capabilities across the business. … quantitative field (e.g., Data Science, Economics, Engineering, Business Analytics) Deep understanding of data platforms (e.g., Databricks, Tableau Cloud), data governance, and AI/ML applications in business contexts Strategic thinker with a bias for action and a passion for unlocking business value through data Excellent communication skills, with the ability ...

maintain a competitive edge, with a particular focus on AI. Provide technical leadership and mentorship to more junior developers, fostering a culture of learning and growth within the team. Ideally, you should have... 7+ years of professional experience in Java development, with a focus on building client‐facing APIs … mentoring diverse teams. Knowledge of building applications using AI tooling and frameworks (e.g., LLMs, prompt engineering, vector databases). Experience integrating AI/ML services into backend systems and APIs. Familiarity with AI‐driven development practices and tools for code generation and testing. Strong proficiency in Java and related frameworks ...

decision-making by building robust pipelines and self-serve data products. You will be essential in defining metrics for platform health, developer productivity, and ML/AI adoption . What You Will Do: Own end-to-end analytical data modeling in BigQuery using dbt . Build reliable data pipelines utilizing … cloud data warehouse , and workflow orchestrators (Airflow, Dagster, Prefect, or Flyte). Proficiency in Python for data analysis and automation. Bonus: Experience with experimentation, ML/AI metrics, or platform productivity . This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. ...

including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets, scraping frameworks, and internal systems such as CRM and deal flow platforms Rapidly prototype MVPs, validate value with … systems Guide and coach the investment team on the latest tools, processes Skills and Experience: 5+ years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases ...

DOING Work directly with clients to understand their business challenges and translate them into scalable, working technical solutions Design and deploy AI and ML systems in production customer environments Rapidly prototype, iterate and refine solutions based on real user feedback in real time Integrate AI models into existing client infrastructure … teams, keeping all parties aligned and delivery moving WHAT WE'RE LOOKING FOR Core requirements: Strong, hands-on experience building and deploying AI and ML solutions in production, not just prototypes Proven background in a consultancy, client-facing or customer-embedded technical role Ability to operate in ambiguous, fast-moving ...

including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets, scraping frameworks, and internal systems such as CRM and deal flow platforms Rapidly prototype MVPs, validate value with … Guide and coach the investment team on the latest tools, processes Skills and Experience: circa 3-5 years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector ...

Procurement etc) and Industry-specific value streams Assess feasibility and ROI of AI-led transformation opportunities Define use cases involving LLMs, agentic workflows, RPA, ML models, and orchestration platforms Create reusable AI solution patterns across value chains 2. RFP & Proactive Deal Support Lead AI solutioning for: RFP responses Client proposals … sell and up-sell initiatives Required Qualifications 10–15 years of experience in Solution Architecture, Consulting, or Digital Transformation Strong understanding of AI/ML, LLM-based architectures, and intelligent automation Experience supporting RFPs and complex deal pursuits Experience across multiple enterprise value chains Strong financial modeling and business case ...

Innovation Team is a part of Toluna’s Insights and Innovation function. Responsibilities Be a subject matter expert on the application of AI/ML to solve common client problems Have a strong foundation in common statistical approaches used in market research and marketing Design and invent new, scalable approaches … successful involvement in designing new ways to solve client pain points. Experience using R or Python, Github, VSCode and common 3rd party AI/ML models Able to solve problems creatively and independently. Adaptable, proactive & comfortable with uncertainty Excellent communication skills, including the ability to understand and communicate technical concepts ...

Responsibilities: Gather and evaluate user requirements for LLM-based chat interfaces and AI chatbot products, working in close collaboration with product managers, AI/ML engineers, and conversational designers. Illustrate design ideas using storyboards, conversation flows, process flows, and sitemaps, with particular focus on mapping human-AI dialogue journeys … conversational interfaces; background in Retail, Consumer Goods, or Utilities sectors is a bonus Experience collaborating with cross-functional, multi-geography teams including AI/ML engineers, product managers, and conversational designers in fast-paced Agile environments ...

Lead Deep Learning Researcher – Hedge Fund I’m partnered with an industry-leading Hedge Fund that, after nearly 20 years of pioneering innovation and hiring some of the brightest minds in the market, is now looking to further its success through the latest advancements in deep learning . … NeurIPS, ICML, or ICLR. Hands-on experience applying deep learning models to complex, ideally temporal or financial, datasets. Expertise in Python and modern ML frameworks (TensorFlow, PyTorch, JAX, etc.). Prior experience in a commercial or industry setting post-PhD, ideally in a similarly data-driven domain. Why Apply ...

//app.calyptus.co/auth/candidate/sign-up and let the opportunities come to you. ____________________________________________________________ The company is seeking an AI/ML Engineer to own and evolve the intelligence layer behind Lily. The role works across LLM orchestration, prompt engineering, agentic AI systems, model evaluation, and data … pipelines to make the AI co-pilot faster, safer, and more autonomous. This is a hands-on, high-ownership role where the AI/ML Engineer’s work directly shapes the product experience for thousands of users as the company scales across the US market. What You’ll Do Design ...

architectures, guardrails, and standards for secure data pipelines, model training/inference, and AI-integrated applications across on-prem and cloud.* Secure MLOps/ML platforms: architect identity, secrets management, network segmentation, and least-privilege access for feature stores, model registries, orchestration, and deployment pipelines.* Data protection by design: establish … controls for sensitive data ingestion, anonymization/pseudonymization, encryption (at rest/in transit), tokenization, and lineage across AI workflows.* Adversarial ML defense: design controls and tests for model poisoning, evasion, model theft/exfiltration, prompt injection, jailbreaking, data leakage, and output manipulation.To be successful in this role ...