AI/ML Engineer - Python, Deep Learning: (Tensorflow, Keras, PyTorch), Apache Spark, NLP/Chatbot, & Cloud: (AWS, Azure))
London, GBR
FactSet
FactSet, a leading provider of financial information and analytics, helps the world’s best investment professionals outperform. We've been recognized as one of FORTUNE's 100 Best Companies to Work for and a Best Workplace in the United Kingdom and France. Headquartered in Norwalk, CT, with over 9,600 employees worldwide and offices across North America, Europe, and Asia Pacific, FactSet has achieved $1.4 billion in annual revenues.
The Opportunity:
Join our world-class Machine Learning team at FactSet and advance the state-of-the-art in financial applications. We develop and implement scalable ML platforms and systems that empower us to deliver exceptional new products and services to our clients. You'll be at the forefront of innovation, combining cutting-edge machine learning techniques with FactSet's unique data assets to optimize business decisions across the company. We're driving innovation in natural language processing, information retrieval, predictive analytics, and more.
What will you be doing?
Shape the Future of Financial AI: Develop new machine learning methods specifically tailored for intelligent searching of financial information and financial predictive analytics. Apply supervised, unsupervised, deep learning, and time series analysis techniques.
Innovate & Solve Real-World Challenges: Help identify new problem areas where AI/ML can provide transformative solutions. Adapt existing models and pioneer new techniques optimized for the financial domain.
Cloud, NLP, & LLM Integration: Play a pivotal role in designing, implementing, and maintaining robust AWS-based infrastructure for serving a range of ML and AI solutions, including Large Language Models (LLMs). Collaborate to integrate LLM capabilities across our products.
Software Engineering Excellence: Deliver clean, well-tested production-grade code. Build dashboards and visualizations for financial experts, ensuring seamless user experiences.
Data-Driven Transformation: Design and implement effective data pipelines for both structured and unstructured financial data. Ensure data collection, quality assessment, and control processes are world-class.
Minimum Requirements:
- 5+ years of hands-on software engineering experience in production environments.
Critical Skills:
- Proven expertise in cloud architecture (ideally AWS) and associated services.
- Solid foundation in Natural Language Processing/Machine Learning/Deep Learning/AI.
- High proficiency in Python, Docker, and API development.
- Ability to collaborate effectively and explain complex technical concepts clearly.
Highly Desirable/Additional Skills:
- Experience with LLMs (OpenAI, Llama, etc.) and integrating them into production systems.
- Deep learning libraries (Keras, PyTorch, TensorFlow)
- Understanding of financial data and applications.
- Familiarity with big data tools (Pyspark, Hive) and databases (MongoDB, SQL, NoSQL)
- NLP expertise (nltk, SpaCy), especially with unstructured data.
Education:
- MS degree in Machine Learning, Computer Science, or a related discipline.
Why Join Us?
- High-Impact Work: Your contributions will directly influence the way financial professionals around the world make critical decisions.
- Collaborative, Innovative Team: Work alongside top engineers and scientists to push the boundaries of financial AI.
- Focus on Growth: FactSet fosters continuous learning and provides opportunities for you to advance your skills.
Key Technologies:
- Python
- Deep Learning: (Tensorflow, Keras, PyTorch)
- Apache Spark
- NLP/Chatbot
- Cloud: (AWS, Azure)
At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. FactSet participates in E-Verify.
FactSet is an Equal Opportunity Employer – M/F/Veteran/Disability/Sexual Orientation/Gender Identity
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: API Development APIs Architecture AWS Azure Big Data Chatbots Computer Science Data pipelines Deep Learning Docker Engineering Keras LLaMA LLMs Machine Learning MongoDB NLP NLTK NoSQL OpenAI Pipelines PySpark Python PyTorch spaCy Spark SQL TensorFlow Unstructured data
Perks/benefits: Career development Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Engineer II jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Intelligence Engineer jobs
- Open Research Scientist jobs
- Open Senior Business Intelligence Analyst jobs
- Open Business Data Analyst jobs
- Open Principal Data Scientist jobs
- Open Sr Data Engineer jobs
- Open Data Science Manager jobs
- Open Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Junior Data Scientist jobs
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Software Engineer, Machine Learning jobs
- Open Data Analyst II jobs
- Open Product Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Engineer III jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open Deep Learning-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Snowflake-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs
- Open RDBMS-related jobs