301 to 325 of 457 Machine Learning Jobs in London

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 ...

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 ...

boutique feel specialist technology recruitment agency with a focus on modern and future tech. Focusing on rapidly expanding technology markets including AI, machine learning and data across the UK and US. Founded by the Managing Director of a world-renowned tech recruitment agency, you would be joining … weekend either the Monday or Friday off) Regular company incentives including company holidays for high achievers, bi-annually. Incredible training programme and annual individual learning budget allocated to everyone Work from anywhere up to 4 weeks of the year The Role: Sourcing and qualifying candidates for vacancies. Building ...

essential. If you are interested in applying but not sure you have all the skills, please do apply. We are open both to supporting learning on the job and to rearranging tasks within the team to suit the skillsets of the best applicant. Job Definition 1. Technology Leadership Lead … public debate in the UK and sensitivity to the political context we work in. Essential skills & experience Experience leading technology teams, particularly in AI, machine learning, or NLP. Understanding of AI s role in misinformation detection and fact checking. Experience engaging with technology platforms and policymakers ...

rapidly scaling mobile app and a strong reputation for customer-centric product design. After significant growth, they are now investing heavily in AI and ML for the first time and are building out new capabilities to deliver more personalised, context-aware experiences. You will join a collaborative product organisation based … London, working closely with engineering, data and decisioning teams. The Role You will: * Define where and how AI and ML can be applied across the customer journey to drive personalisation and intelligent guidance. * Lead end-to-end product management, from problem identification through to delivery and measurement. * Provide strategic direction ...

tooling and methodologies, with a particular focus on AI AI Testing: A Core Differentiator • Bring genuine expertise in testing AI-enabled systems, including LLMs, machine learning models and AI-integrated platforms • Understand and apply appropriate techniques for testing non-deterministic systems where traditional approaches do not fully apply … testing standards, frameworks or centre of excellence activity Desirable • Experience with AI testing tools and frameworks, including those specifically designed for LLM or ML model evaluation • Familiarity with UK Government delivery frameworks and governance requirements • Background in setting up or leading a testing practice within a consultancy • ISTQB or equivalent ...

data scientist Python skills/experience Comfortable in an Agile environment Knowledge of GitHub Interest in gaming/esports Previous experience with machine learning models and established statistics In return, they can offer: A salary of up to £85k (depending on experience) A generous training/personal development ...