机器学习工程师
机器学习工程师将数据科学家构建或从供应商处购买的模型，变为在上线的医疗卫生和照护服务中可靠运行的模型。他们构建训练、测试、部署和监控模型的流水线，并将模型与临床和运营系统集成。他们确保模型在真实的患者和员工依赖它们时保持安全、可靠、公平和有效。
本文由人工智能助手从英文翻译而来，尚未经过母语人士审校。引自英国政府数字与数据专业能力框架（UK GDaD PCF）和 ESCO 的内容保留英文原文。
- 职族
- 数据
- UK GDaD PCF 角色
- Machine learning engineer (Data)
- ESCO 职业
- artificial intelligence engineer (ISCO-08 2511)
级别
| 职级 | 角色级别 | UK GDaD PCF 级别 | 英国公务员职等 | 岗位评估分数 |
|---|---|---|---|---|
| 7 | 高级机器学习工程师 | Senior machine learning engineer | SEO/G7/G6 | 495 |
| 8b | 首席机器学习工程师 | Lead machine learning engineer | G7/G6 | 595 |
在数字医疗卫生组织中
- 上线使用的模型可能随着患者人群、临床实践或记录习惯的变化而发生漂移，因此要针对每个患者群体监控其表现，并在需要时重新训练或撤回模型。
- 为诊断、分诊或治疗提供信息的模型可能作为医疗器械受到监管，这会对其软件生命周期、变更控制和上市后监督提出正式要求。
- 临床安全案例需要关于模型如何失效、其输出如何呈现给临床医生以及模型不可用时会发生什么的证据。
- 用患者数据训练的模型可能泄露个人信息，因此训练数据、模型产物和日志要像数据本身一样受到保护。
- 生成式人工智能和大语言模型带来了更多风险，例如在临床记录中编造内容，这需要专门的测试和人工监督。
UK GDaD PCF 角色描述
A machine learning engineer develops, assures and maintains machine learning models so they can be used in products and services.
In this role, you will:
- be responsible for the software development and technical infrastructure needed to design, train, deploy and scale machine learning models
- provide and maintain effective, secure and sustainable machine learning models for use in products and services
- support all stages of the machine learning life cycle
- help product teams evaluate and choose appropriate machine learning solutions
ESCO 职业与技能
ESCO 列出了雇主对每种职业通常需要（必备）或可能需要（可选）的技能和知识。可将其用作发展谈话的检查清单。
artificial intelligence engineer
Artificial intelligence engineer apply methods of artificial intelligence in engineering, robotics and computer science to design programs which simulate intelligence including thinking models, cognitive and knowledge-based systems, problem solving, and decision making. They also integrate structured knowledge into computer systems (ontologies, knowledge bases) in order to solve complex problems normally requiring a high level of human expertise or artificial intelligence methods.
必备技能和知识（31）
技能与能力
- analyse big data
- analyse business requirements
- apply ICT systems theory
- create data sets
- creatively use digital technologies
- define technical requirements
- deliver visual presentation of data
- design process
- develop creative ideas
- develop statistical software
- use data processing techniques
知识
- Python (computer programming)
- algorithms
- artificial neural networks
- business process modelling
- computer programming
- computer simulation
- data mining
- data models
- data science
- information architecture
- information categorisation
- information extraction
- information structure
- principles of artificial intelligence
- resource description framework query language
- systems development life-cycle
- task algorithmisation
- unstructured data
- visual presentation techniques
其他
可选技能和知识（58）
技能与能力
- apply systemic design thinking
- assess ICT knowledge
- build business relationships
- build predictive models
- build recommender systems
- design application interfaces
- design database scheme
- identify processes for re-engineering
- manage ICT data classification
- manage ICT semantic integration
- manage business knowledge
- perform dimensionality reduction
- utilise machine learning
知识
- Agile project management
- Assembly (computer programming)
- C#
- C++
- COBOL
- CoffeeScript
- Common Lisp
- Erlang
- Groovy
- Haskell
- ICT project management methodologies
- Java (computer programming)
- JavaScript
- LINQ
- Lisp
- MATLAB
- ML (computer programming)
- Microsoft Visual C++
- N1QL
- Objective-C
- OpenEdge Advanced Business Language
- PHP
- Pascal (computer programming)
- Perl
- Process-based management
- Prolog (computer programming)
- R
- Ruby (computer programming)
- SAP R3
- SAS language
- SPARQL
- Scala
- Scratch (computer programming)
- Smalltalk (computer programming)
- Swift (computer programming)
- TypeScript
- VBScript
- Visual Basic
- business analytics
- business intelligence
- computer vision
- database development tools
- deep learning
- lean project management
- operational research
Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.