1,051 to 1,075 of 2,914 Machine Learning Jobs in London

behaviour through to the interfaces clinicians touch. Compliance & Cybersecurity: Ensure AI deployments meet cybersecurity requirements and regulatory standards, including FDA guidance for AI/ML‐enabled devices. Reliability & Collaboration: Keep the deployed fleet reliable, and work directly with hardware, product and clinical teams to diagnose and resolve issues quickly. ...

domain including Manufacturing, Planning, and Logistics Strong technical expertise in Supply Chain technologies such as SAP, EWM, IBP, and emerging technologies like AI, ML, IoT, OCR Strategic thinker with hands-on technology leadership and successful track record in technology strategy implementation Strong collaboration, influencing, and communication skills across functions ...

domain including Manufacturing, Planning, and Logistics Strong technical expertise in Supply Chain technologies such as SAP, EWM, IBP, and emerging technologies like AI, ML, IoT, OCR Strategic thinker with hands-on technology leadership and successful track record in technology strategy implementation Strong collaboration, influencing, and communication skills across functions ...

resolve complex disputes, regulatory changes, or majeure events. Direct energy budget renewals, spend tracking, and financial variance analysis across regional operations. Deploy AI/ML and Large Language Model (LLM) tools to automate contract intake and portfolio workflows at scale. Define Key Performance Indicators (KPIs) and automated executive reporting, while ...

software architecture, technology stacks, cloud and mobile computing, technical debt, functional and non-functional roadmaps, hosting, cybersecurity, databases, data and analytics, and AI/ML technologies. Experience assessing R&D organizations and software development practices, including testing, quality assurance and continuous integration/continuous delivery processes. A solid understanding ...

Posted on 26/11/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Role Summary We are seeking an experienced Test Manager with strong General Insurance ...

risk models and put them into production, not just specified them. You're expert in Python and SQL, with a strong grounding in machine learning. Product and delivery mindset - You think like a product manager as much as a data scientist. You define the problem, prioritise ruthlessly, bring Product ...

e.g., Snowflake, Tableau, Power BI). Proficiency in data management technologies and tools (e.g., Collibra). Exposure to data analytics, automation, or AI/ML tools related to data Understanding of asset management processes, product structures and client hierarchies. Passion for data, visualisation and data coding languages such as PowerBI ...

experience from a comparably sized consulting firm Broad data and analytics experiences across data strategy, data architecture, data governance, visualizations, AI/ML, legacy data platforms and modern could data stack Deep expertise in defining, architecting, and delivering modern cloud data stack based data and analytical solutions ...

marketing or advertising and understand the technical challenges of working with customer data. You have some experience with data analytics, data science, AI, or machine learning. #J-18808-Ljbffr ...

Skills) 5+ years of experience selling or supporting technical sales in the cloud computing industry. Deep technical expertise across cloud infrastructure and AI/ML, with experience building production systems combining both as a solutions engineer, entrepreneur, or solution architect. In-depth knowledge of at least one major public cloud ...

practices, maintaining a strong external perspective that informs Dynatrace's internal strategy. Minimum Requirements 12+ years of progressive experience in enterprise technology, AI/ML, or digital transformation leadership - with at least 3-5 years in a senior director or equivalent role with demonstrated portfolio ownership. Preferred Requirements Demonstrated success ...

daily by operators, with a feedback loop. AWS SageMaker, AWS ECS/Fargate, Terraform and CircleCI. Snowflake and dbt. Event logging for analytics or machine learning. Lead generation or ad tech. How you'll work Commercial impact. You understand how the business creates value and use that to make ...

across the organisation, mentoring and uplifting QA capability globally. Key Skills and Competencies Strong understanding of the testing and quality challenges of non-deterministic, ML/LLM-based, and agentic systems, including evaluation, guardrails, and the regression of model-driven behaviour. Proven experience defining and implementing QA strategy ...

data modelling, data lakes, lakehouses, data warehouses and data integration. Experience with data governance, security, privacy and Microsoft Purview. Understanding of AI/ML and Generative AI data architectures. Proven experience leading technical teams and large-scale transformation programmes. Strong client-facing, communication and stakeholder-management skills. Experience in consulting ...

Skills) 5+ years of experience selling or supporting technical sales in the cloud computing industry. Deep technical expertise across cloud infrastructure and AI/ML, with experience building production systems combining both as a solutions engineer, entrepreneur, or solution architect. In‐depth knowledge of at least one major public cloud ...

Intact Insurance, formerly RSA, is seeking a Machine Learning Engineer to build and run production-ready ML systems that deliver real business impact. You will partner with Data Scientists and engineering teams to shape the ML roadmap, translate notebooks into robust, tested production code, and deploy models across ...

team shares a love of the outdoors and a desire to protect it for future generations. Role Summary As a Tech Lead - Manager - ML training and infrastructure, you will be a member of the Perception team at Rivian, which develops advanced machine learning algorithms that directly impact safety … driving features of our category defining vehicles. We are looking for candidates with deep knowledge and strong enthusiasm towards establishing a state-of-art ML infrastructure for training and inference of large autonomous driving models; and optimizing the training and inference performance Responsibilities Optimize the performance of Deep Learning ...

transactions involve no human touch, and the business is doubling every year. The role You're a data scientist with strong quantitative and ML chops who can move between classical modelling, experimentation, and modern applied ML (including LLMs where they're the right tool). … models, ranking, demand forecasting, segmentation, pricing, experimentation, and LLM‐powered features, depending on where the business need is greatest Take ownership of business‐critical ML systems end-to-end: problem framing, model design, deployment, monitoring, and ongoing maintenance in production Translate ambiguous business problems into tractable ML or statistical problems ...

Quantcast is seeking a Machine Learning Engineer to build and maintain real-time ML systems for pricing advertising opportunities in a high-throughput environment. You will work with a team of scientists and engineers to experiment with models and deliver scalable production code. We value candidates with … years of ML experience, a strong foundation in mathematics, and proficiency in Python/Java and ML frameworks. #J-18808-Ljbffr ...

About the Role Checkout.com is looking for an experienced Senior Data Scientist to lead advanced optimisation projects and champion the development of robust, sustainable ML architectures. You will be responsible for the enhancing payment flow through data and ML services, advancing the complex problem of multi-objective optimisation. You will … deploying recommender systems, contextual bandits, or network intelligence applications. Experience in fintech, payments or similar domains. Experience with Docker, AWS/GCP, and modern ML deployment practices. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers ...

Prima is seeking a Senior Machine Learning Engineer to help shape the future of motor insurance. You will lead ML lifecycle practices, influence technology choices, and ensure production readiness of ML-driven features across Prima’s microservices landscape. You will work with a large engineering team, advancing cloud … native ML tooling, and mentoring others while keeping a strong focus on code quality, design patterns, and robust delivery. #J-18808-Ljbffr ...

Longshot Systems Ltd is hiring Machine Learning Engineers to design, build and productionise ML pipelines and data workflows. You'll work on a hybrid Python/C++ stack, with an emphasis on low-latency components and scalable strategy software for sports betting analytics. You will collaborate with quantitative ...

Enhance Agility: Drive adoption of modern engineering practices that improve developer experience and productivity Lead post-mortems and blameless retrospectives that turn incidents into learning opportunities Strategic Technical Vision: Anticipate future scalability challenges … before they become blockers (e.g., handling 10x growth in transaction volume) Evaluate emerging technologies and recommend when/how to adopt them (e.g., new ML frameworks, database technologies) Balance technical excellence with pragmatic delivery, knowing when "good enough now" beats "perfect later" Ownership & Accountability: Own critical systems ...

structures.AI Workforce & Skills StrategyDesign and implement enterprise AI capability frameworks across Product, Technology, Data, Risk, and Change functions.Define AI competency requirements, behavioral expectations, and learning pathways for different job families.Advise on how key roles such as Product Owner, Product Manager, Business Analyst, Delivery Manager, Scrum Master, Data Product Manager … Engineering Manager evolve within an AI-native organization.Partner with HR, Talent Development, and Learning & Development teams to embed AI upskilling initiatives.Identify and define emerging specialist roles, including:AI Product ManagerAI Governance LeadPrompt EngineerAI Risk ManagerModel Performance OwnerAI Operations LeadAI Change ManagerAI Governance, Risk & ComplianceDesign governance frameworks supporting responsible ...