AI / ML Dev (Application Development) Glasgow, Scotland
Morgan Stanley
Full Time
Glasgow, Scotland
34437 - 59267 GBP ANNUAL Today
Job description
AI / ML Dev (Application Development)
Job Number:
3232566
POSTING DATE: Apr 20, 2023
PRIMARY LOCATION: Europe, Middle East, Africa-United Kingdom-United Kingdom-Glasgow
EDUCATION LEVEL: Bachelor's Degree
JOB: Development
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Associate
DESCRIPTION
Machine Learning Engineer
Glasgow
3232566
Corporate and Funding Technology is comprised of three primary areas: Operations & Risk, Corporate and Client Financing.
Operations & Risk helps the Firm’s businesses while maintaining a strong risk profile. The group includes Operations, Funding, Finance and Risk Technology.
Corporate improves our operating environment and is made up of Legal, Compliance & Corporate Governance, Digital & Corporate Communications and Human Resources Technology groups.
Client Financing platforms provide technology and service to our hedge fund and Asia high-net- worth clients. Groups include Prime Brokerage, Private Wealth Management Asia and Counterparty Risk Technology.
We are looking for a Machine Learning Engineer to explore, design and develop new solutions for Firm-wide user base. Leveraging many tools such as H2O, Keras and Spark ML.
The ideal candidate should hold an advanced degree in a quantitative discipline and has experience researching, building, and maintaining data science models at scale in an enterprise environment. The position requires good communication skills, ability to work together in cross-functional technical teams in different areas of the organization.
About Morgan Stanley
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. We can provide a superior foundation for building a professional career – a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
What will you be doing?
Independently work on end-to-end development of Machine Learning and Natural Language Processing models to derive insights from research publications, legal documents, regulatory requirements etc.
Technical analysis and software development
Design and implement business solution in agile squads
Engage in Machine Learning project, which includes problem definition, Data Engineering, Machine Learning design and documentation for the model risk management and running all the needed ML tests to ensure reliability.
Develop, maintain and track detailed delivery plans
Hands on development, testing, change management (full SDLC)
QUALIFICATIONS
What we’re looking for:
Masters in Mathematics, Statistics, Economics, Data Science, Machine Learning, Operational Research, Physics, and other related quantitative fields.
3+ years of experience with design and implementation of machine learning, predictive analysis, data science, knowledge bases, recommendation systems, information retrieval.
Strong understanding of the foundational concepts and applied experience in Machine Learning (ideally, a combination of excellent academic research and high-impact commercial projects).
In depth understanding of common Machine Learning algorithms (e.g., for classification, regression and clustering).
In depth knowledge of advanced statistical theories, methodologies, and inference tools.
Proven track record in some of the advanced topics such as Bayesian inference, hierarchical models, deep learning, Gaussian processes, and causal inference.
Practical experience in preparing data for Machine Learning integrating with big-data platforms and high-performance computing ecosystems.
Ability to work with global, cross-functional teams
Excellent oral and written communication skills.
Experience in applying different NLP techniques to problems such as sentence summarization, question answering, sentiment analysis, knowledge extraction and conversational bots
Development experience in Python or Java/Scala with good command over respective data pipelining, matrix algebra and statistics libraries
Skills that will help you in the role:
Linux, Unix, Shell Scripting.
Java, Python, H2O, Keras, Tensorflow
Object-Oriented Programing.
Experience with non-English Natural Language Processing.
Deep learning programming experience with Python/Tensorflow or similar library in a GPU environment
Banking / Financial Services experience is a plus.
Experience working with external reference datasets like SQUAD, SemEval, MSRP, WikTable, WikiQA, AllenAI etc.
Tuning and optimization of sequential deep learning models
Flexible work statement:
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
Equal opportunities statement:
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
