Glasgow, Lanarkshire, United Kingdom
Actively hiring, first seen by us 7 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Develop AI/ML and Gen AI/agentic AI solutions for business needs
Work on LLM and agentic frameworks such as Langchain/LangGraph
Productionize end-to-end AI/ML solutions with team members
Coach and mentor other AI/ML team members
Gather business requirements from stakeholders and build data-driven solutions
Developing AI/ML and Gen AI/ Agentic AI solutions to address impactful business needs.
Hands on experience in working on LLMs and agentic frameworks, such as Langchain/LangGraph and similar technologies.
Working with other team members to productionize end-to-end AI/ML solutions.
Coaching and mentoring other AI/ML team members towards both personal and professional success
Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 7
Early. Similar jobs usually come down between day 8 and day 59.
At JPMorgan Chase, jobs usually come down by about day 15.
From 11,367 similar postings that came down, and 967 of JPMorgan Chase’s. Coming down is not always a hire.
366 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Strong experience in natural language processing (NLP) and its applications. - Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects. - Working with other team members to productionize end-to-end AI/ML solutions.
- Applied experience in data science, machine learning, or related areas. - Strong programming skills in Python with experience in PySpark, Spark SQL, and manipulating data. - Experience LLM Orchestration and Agentic AI libraries
Preferred qualifications, capabilities, and skills - Understanding of AWS component. - Experience integrating AI/ML models into data pipelines is a plus.
- Experience in building AI Agents, Agentic frameworks. - Experience in building and managing data lakes and data processing workflows using Databricks. - Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality.
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
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New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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Glasgow, Lanarkshire, United Kingdom
Working pattern and location restrictions need checking in the full posting.
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