8 of 8 Permanent Machine Learning Jobs in Milton Keynes

Lumpur, MalaysiaType: Permanent - Hybrid working, averaging 2/3 days per month in the officeDue to growth, we are hiring for two Platform Manager - ML Ops to join us permanently on a hybrid working basis, one working from the UK and the other in Kuala Lumpur, Malaysia. With this role … Services, the role ensures platform services meet business needs, are well governed, and enable delivery teams to build, deploy and run data products and ML models at scale.This role is delivery-focused and works closely with data engineering, analytics, data science, information security and suppliers to embed platform standards, automate ...

intelligent extraction pipelines and agentic workflows.Build and deploy scalable web applications and microservices on AWS using Python, following cloud security best practices.Drive AI and machine learning research and development by evaluating new models, tools and technologies, creating prototypes and recommending adoption opportunities.Develop and optimise prompt engineering solutions … enhancements, data analysis and cloud-native technologies.What we would like you to bringStrong commercial experience developing production-quality applications in Python.Experience with AI and machine learning, including LLM integration, prompt engineering and model evaluation.Hands-on experience deploying and managing applications on AWS or a comparable cloud platform.Some Java ...

chain, service, and digital surgery domains.This role will build and lead a team spanning data engineering, analytics, data product management, and applied AI/ML/GenAI and will partner deeply with business and functional stakeholders to ensure business intimacy and measurable value realization.Key Responsibilities1) Strategy & Outcomes (Business Value … Regulatory Affairs, Legal, and Quality functions.4) AI Enablement & Model Lifecycle (From Pilot to Scale)Lead the end-to-end lifecycle for applied AI/ML/GenAI solutions: use case intake, feasibility, data readiness, model development, validation, deployment, monitoring, and lifecycle governance.Enable scalable AI creation and deployment patterns aligned ...

quality and compliance frameworks including ISO 9001, ISO 20000 and ISO 27001. Experience supporting software audits, accreditation or certification activities. Exposure to AI, machine learning, data analytics or data-driven software products. Familiarity with DevOps and continuous integration/continuous deployment (CI/CD) practices. Personal Attributes Passionate ...

with intention on culture: building a team where we play, where psychological safety is real, experimentation is welcomed, and failure is treated as a learning opportunityCreate the conditions in which researchers can do their best work — protected time, clear priorities, and a management layer that absorbs complexity rather than … tick every box, we’ll help you develop along the way.Familiarity with the kind of problems the lab works on — advanced data science, machine learning, or quantitative methods applied to high-stakes professional judgement — even if you’re not a domain expert yourselfExperience building a function or team ...

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 ...

5+ years in claims. Confident in presenting to and influencing C-suite stakeholders. Solid understanding of automation technologies and working knowledge of AI/ML applications in insurance, along with strong product governance experience. Experience working with data teams to define requirements, interpret model outputs and challenge assumptions. Strong grounding ...

culture of data ownership, regulatory compliance, and continuous improvement, supporting initiatives that enhance data literacy, governance maturity, and enterprise-wide trust in data.AI/ML Role:AI, Data Layer & Metadata ManagementDefine and maintain data governance standards for the data layer, including quality, metadata, lineage, access, and usageOwn and prioritise … present technical information to non-technical stakeholders.Experience with Databricks.Knowledge of DAMA-DMBOK, DCAM, or equivalent data management frameworks would be nice to have.AI/ML experience is required for one of the roles. Grow your career and expand your skills and knowledge. At BSI, we offer opportunities to work across ...