351 to 375 of 532 Machine Learning Jobs in London

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

working knowledge of GDPR and data protection frameworks Desirable Experience in healthcare, life sciences, or similarly complex multi-site service organisations Exposure to AI, machine learning, or predictive analytics initiatives delivered at scale Academic background in data science, mathematics, statistics, or a related quantitative discipline ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

background in data and technology, including data platforms, data products, APIs, and enterprise adoption mechanics/li li Working knowledge of artificial intelligence and machine learning concepts and how they are applied in financial services/li li Ability to engage credibly in technical architecture discussions and business ...

ESSENTIAL Experience delivering high quality data and self-serve analytics using tools like Airflow, dbt and Looker. Practically used + applied AI/machine learning techniques and built predictive models to get deeper insights Knowledge of the FinTech ecosystem Additional Information What do we offer: Salary ...

with experience selling into UK/EU markets. Excellent consultative selling, communication, and stakeholder management skills. Understanding of AI technologies (e.g., generative AI, machine learning, NLP, automation) is an added advantage. Application Process Before applying, please ensure you meet the role requirements listed above and have legal authorization ...

practices. Previous technical leadership and mentoring experience. Background in financial services, payments, banking, or regulated environments is advantageous. Desirable gRPC or GraphQL AI/ML integration experience Event-driven architectures Regulatory or compliance-focused delivery ...

improving systems, and working closely with the business in a fast-paced trading environment (this is not a quant, data engineering or AI/ML role). You will sit within Front Office Technology supporting the Fixed Income trading desk which develops the core platforms that underpin trade capture, execution ...

engineering team YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Expertise in Python, SQL, and TypeScript Proven experience building AI/ML systems in production environments Strong understanding of hybrid software + data engineering challenges Experience working at scale with complex datasets or platforms THE BENEFITS: You will ...

analytics, AI-assisted insight Comfort with ambiguity, and a bias for commercial impact over technical perfection Microsoft ecosystem fluency (Power Platform, Azure AI) and ML use cases — forecasting, pipeline-to-flow modelling, opportunity scoring — will set you apart. The firm offers hybrid working, strong benefits, and clear development pathways. ...

platform's infrastructure. 🎯 What is Required: 2 to 5+ years of sales or business development experience in the cloud computing, AI/ML, or enterprise software industries. A good understanding of how Large Language Models (LLMs), tokens, and AI workflows work. You need to be comfortable speaking with engineers. ...

systems that process real-time data from distributed edge devices Lead technical decisions across architecture, tooling, and system design Collaborate with data scientists and ML engineers to deploy models into production Mentor engineers and contribute to engineering best practices Improve observability, monitoring, and incident response processes Write maintainable, well-tested ...

they're your toolkit. Bedrock Builder: Hands-on experience with AWS Bedrock (Agents, Knowledge Bases, Guardrails, and the full model lifecycle). AI/ML Foundations: Deep understanding of FMs, RAG , non-deterministic agents, and complex tool-use. Secure AI: Expert-level knowledge of OWASP LLM Top 10 and Agentic ...

Risk and dependency management across fast-moving programmes Roadmap planning, quarterly prioritisation and delivery process improvement Candidate Experience: Delivery of data science, analytics, or ML programmes in regulated or R&D environments Senior stakeholder management across technical and commercial audiences Agile delivery experience, sprint planning, retrospectives, cross-functional ceremonies Familiarity ...

Risk and dependency management across fast-moving programmes Roadmap planning, quarterly prioritisation and delivery process improvement Candidate Experience: Delivery of data science, analytics, or ML programmes in regulated or R&D environments Senior stakeholder management across technical and commercial audiences Agile delivery experience, sprint planning, retrospectives, cross-functional ceremonies Familiarity ...

full enterprise sales cycles, from early value‐led conversations through to contract signature Leading C‐level discussions around Lakehouse architecture, advanced analytics, AI/ML, and data modernisation Translating complex business challenges into Databricks‐enabled solutions and roadmaps Building and managing a strong pipeline of large, multi‐stream transformation opportunities ...

feel like a typical year) Background requred: – Degree in a relevant discipline (Maths, Engineering, Computer Science, etc.) – ~4+ years in AI/ML engineering, with strong software engineering foundation – Experience taking agent-based systems into production – Strong understanding of system design: orchestration, memory, deployment, monitoring – Exposure to tools such ...

BDRs, or playbooks. Is effectively a hybrid BDM/AM role. Comfortable selling to and holding conversations with deeply technical buyers (engineering, AI/ML, security teams). Experience navigating enterprise security and compliance procurement (SOC 2, DPAs, MSAs). Startup experience (Seed–Series B) — you thrive in ambiguity ...

mindset with a passion for building high-quality technologyDesirable Experience * Life Science or regulated industry experience * GDPR and data security knowledge * AI/ML integrations or personalisation systems * SaaS or startup experienceWhat's On Offer * £80,000 - £90,000 salary * Hybrid working (office 2-3 days per week) * 30 days ...

mindset with a passion for building high-quality technology Desirable Experience Life Science or regulated industry experience GDPR and data security knowledge AI/ML integrations or personalisation systems SaaS or startup experience What's On Offer £100,(Apply online only),000 salary Hybrid working (office 2-3 days ...

client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc. You will join a rapidly growing team … concepts and tools. Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation. Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms: 6+ years ...

client pitch contribution, client hosting at events. Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demand within the company, certifications etc. Your Profile Our applicants will have some … process landscapes. Competence in conducting root cause analysis and proposing specific interventions for operational inefficiencies. Familiarity with advanced analytics techniques (e.g., predictive modelling, machine learning) to drive innovative process improvements. Proven ability to work on multi-disciplinary projects, collaborating with IT, operations, and business leaders. A track record ...