21 of 21 Machine Learning Jobs in Buckinghamshire

this position.The roleAs a Senior Data Scientist, you will work closely with strategy, operational, and technology teams to identify opportunities where advanced analytics and machine learning can unlock business value. You'll lead the design, development, deployment, and continuous improvement of analytical models that support critical decisions across … Partner with business stakeholders to identify opportunities where data science can deliver strategic and operational value. • Design, build, deploy and maintain advanced analytical and machine learning models. • Develop compelling data visualisations and insights for both technical and non-technical audiences. • Lead the implementation of robust software development lifecycle ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Raleigh (US) offices.About the roleYou will help shape how evidence is generated, modeled, and communicated across the drug development lifecycle, bringing modern computational and machine-learning methods to bear on real R&D decisions. You will develop and apply advanced data-driven and model-based approaches—drawing … statistics, machine learning, and AI—translate them into robust, reusable tools, and partner across functions to put them to work where they impact drug development decision making. You will also contribute to the group's scientific profile through publications and external collaboration.Who you will work withYou will ...

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 ...

which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI. The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify … Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deploymentProvide training and guidance to Data Owners ...

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 ...

leadership.Project or programme management qualification, such as PRINCE2, Agile, MSP, or equivalent experience.Highly developed specialist knowledge of AI, automation technologies such as RPA, NLP, machine learning, workflow automation and their safe application in healthcare.Knowledge of NHS digital strategy, AI governance, clinical safety, information governance, cyber security and relevant … leadership.Project or programme management qualification, such as PRINCE2, Agile, MSP, or equivalent experience.Highly developed specialist knowledge of AI, automation technologies such as RPA, NLP, machine learning, workflow automation and their safe application in healthcare.Knowledge of NHS digital strategy, AI governance, clinical safety, information governance, cyber security and relevant ...

Wednesday. What you'll be doing: Leading and developing a multi-disciplinary pricing and underwriting team. Enhancing pricing and risk models using GLMs, machine learning and actuarial techniques. Driving pricing strategy to meet loss ratio targets while supporting growth in policy volumes and GWP. Owning product and pricing … Proven experience in pricing, product, underwriting or actuarial roles within insurance or financial services. Strong technical capability in pricing models, risk analysis, GLMs, machine learning and data-driven decision making. Confident people manager with experience coaching and developing high-performing teams. Strong understanding of regulatory expectations, including product ...

data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation. In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic … impact AI model performanceApplication of AI technologies to Data Quality ManagementData Quality Rule Definition and Implementation:Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI modelsEnsure ...

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 ...

systems level analyses.Work with combinations of diverse data types, including gene expression, genetic, VDJ repertoire, spatial, and proteomic datasets, to generate biological insights.Apply statistical, machine learning, and systems biology approaches to answer key scientific questions.Communicate complex findings clearly to scientific and non-scientific audiences.Support the continuous evolution ...

biology Work with combinations of diverse data types, including gene expression, genetic, VDJ repertoire, spatial, and proteomic datasets, to generate biological insights. Apply statistical, machine learning, and systems biology approaches to answer key scientific questions. Communicate complex findings clearly to scientific and non‐scientific audiences, enabling impactful decision ...

programme management qualification, such as PRINCE2, Agile, MSP, or equivalent experience. Highly developed specialist knowledge of AI, automation technologies such as RPA, NLP, machine learning, workflow automation and their safe application in healthcare. Knowledge of NHS digital strategy, AI governance, clinical safety, information governance, cyber security and relevant ...

advantageous: Python ASP.NET/C# React or Node.js Qt Quick/QML GitLab CI/CD Linux driver development SaaS and cloud-hosted applications Machine Learning Networking technologies including Ethernet, Wi-Fi, VLAN, IP, ARP, LLDP, SNMP and MIBs Network testing and measurement products Why Join TREND Networks ...

winning new projects.About YouYou’ll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. 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. 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 ...

eClass capabiliteso Secure device onboarding, identity, and lifecycle managemento Local data normalization, buffering, and rules executiono Edge analytics and event processingo Edge AI/ML inference (where appropriate for power and industrial use cases)• Partner with hardware and firmware teams to ensure new Eaton products are Brightlayer Ready by design.Platform … whenever possibleWe make your growth matter - We invest in our employees for the long term – not just with salary and benefits, but with ongoing learning and development opportunities made available through Eaton UniversityWe make your contributions matter - reliability, safety, efficiency, and sustainability are at the core of our dedication ...

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 ...

delivery impediments and ensure alignment to value, scope, and timelines; Promote warehouse-first and scalable architecture patterns.AI & Advanced Analytics Integration: Define how AI/ML capabilities integrate into enterprise data products.Stakeholder Leadership & Influence: Partner with senior stakeholders to align on strategy, priorities, and investment decisions; Act as a trusted advisor … products.Proven experience delivering enterprise-scale data platforms or products. Strong understanding of: Data warehousing (e.g. Snowflake).Business Intelligence and analytics ecosystems. AI/ML integration into products.Experience working across multiple business domains and complex stakeholders.Demonstrated ability to drive product-led transformation.Preferred Qualifications Experience in sustainability, supply chain, or regulated industries.Familiarity ...