Machine Learning/AI Engineer Job at Robert Half (St. Louis, MO)

Machine Learning/AI Research Engineer

Machine Learning/AI Research Engineer position focusing on advancing renewable o...

Location

Ireland , Galway; Dublin

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD degree (or Master's with equivalent research and innovation experience) in a relevant discipline (e.g., computer science, software engineering, electrical engineering, math, physics, statistics, mechanical engineering, etc.)
Proven record of innovation with Deep Learning or with scientific and engineering computation involving the application of Machine Learning
Demonstrated experience with innovative solution development, developing proofs-of-concept, first-of-a-kind solutions, and technology transfer
Strong software development skills in Python and Pytorch
Strong application experience of Machine Learning with physical systems
Good understanding of digital twins, use of ML with Digital Twins, applications to sustainability
A strong science or engineering background with aptitude for system level analysis and modeling
Deep understanding of the relevant environment, ecosystem, trends, and literature
Excellent research and development skills
Ability to innovate, make research contributions, and bring ideas to reality in compelling ways

Job Responsibility

Develop and program integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications
Work with large scale computing frameworks, data analysis systems, and modeling environments
Use machine learning and statistical modeling techniques to improve product/system performance
Formulate descriptive, diagnostic, predictive and prescriptive insights/algorithms and translate technical specifications into code
Apply, optimize and scale deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations
Document procedures for installation and maintenance, complete programming, perform testing and debugging, define and monitor performance metrics
Provide thought leadership and technical influence internally and externally
Take innovative ideas and make them real – contributing along the full range from conception, to design, development, implementation, evaluation, and technology transfer
Collaborate with Hewlett Packard Labs' research teams and external partners

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Machine Learning Engineer

The Machine Learning Engineer is a practitioner and advocate of state-of-the-art...

Location

Portugal , Oporto; Lisbon; Funchal; Ponta delgada

Salary:

Not provided

TUI

Expiration Date

Until further notice

Requirements

Experience in designing, implementing, deploying and using various AI models and algorithms
Experience in deploying AI solutions (e.g. CI/CD pipeline, API development, containers)
Strong programming skills in Python
Understanding of machine learning/AI frameworks and libraries
Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud)
Experience with SQL and/or Snowflake
Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph)
Proficiency in data preprocessing and feature and/or prompt engineering
Customer-focused engineer with a passion for crafting high-quality digital products, continuous improvement, and effective team collaboration
Strong problem-solving and communication skills, with an understanding of the social, legal, and ethical impact of AI technologies

Job Responsibility

Deliver solutions that challenge the status quo, taking full responsibility for your AI solutions from design to operation
Collaborate with your team to enable AI engineering skills and capabilities across TUI Group
Research, evaluate, and test new approaches, processes, and tools
Participate in Communities of Practice and collaborate on shared initiatives
Build and maintain self-build segmentation models
Lay the foundation for data science driven decision making and personalised offers
Deliver innovative and inspiring customer experiences in TUIs digital channels

What we offer

Attractive remuneration
Bonus opportunity
Exclusive travel perks & discounts
Extensive health & wellbeing support
Flexible working models
Opportunities to upskill, reskill and grow your career
Access to TUI Tech Learning Hub
Participation in tech communities and collaboration on global projects and teams
Involvement with local charity and sustainability initiatives

Fulltime

Machine Learning Ops Engineer

The Customer AI & Rapid Prototyping department stands at the forefront of digita...

Location

Portugal , Oporto; Lisbon; Funchal; Ponta delgada

Salary:

Not provided

TUI

Expiration Date

Until further notice

Requirements

Experience in productionising and using various AI models and algorithms
Experience in deploying AI solutions using CI/CD pipelines, API development and containers
Strong programming skills in Python
Understanding of machine learning/AI frameworks and libraries
Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud)
Experience with monitoring and log collection systems (e.g. DataDog)
Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph)
Customer-focused engineer with a passion for crafting high-quality digital products, continuous improvement, and effective team collaboration
Strong problem-solving and communication skills, with an understanding of the social, legal, and ethical impact of AI technologies

Job Responsibility

Develop, implement, and maintain machine learning models and algorithms
Work closely with cross-functional teams to integrate ML solutions into production systems
Monitor and optimize the performance of deployed AI models
Collaborate with engineering colleagues on AI-related tasks to deliver impactful, data-driven solutions
Research, evaluate, and test new approaches, processes, and tools

What we offer

Attractive remuneration
bonus opportunity
exclusive travel perks & discounts
extensive health & wellbeing support
Flexible working
hybrid or remote working models
Opportunities to upskill, reskill and grow your career
Access the TUI Tech Learning Hub
Participate in our tech communities and collaborate on global projects and teams
Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation and the Sustainable Tech Community

Fulltime

Data Analyst

Embark on a transformative journey as a Data Analyst. At Barclays, our vision is...

Location

United States , Whippany

Salary:

90000.00 - 120000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Exposure in marketing domain, including campaigns, customer segmentation, and loyalty economics, with advanced analytics using SQL, Python, and Power BI to drive targeted, insight-led decisions
Experience with GenAI and prompt engineering to accelerate insight generation, develop interactive dashboards, and enable AI-driven analytics workflows across cloud platforms such as AWS and Databricks
Proven ability to design and deliver business intelligence and visualization solutions using tools such as Power BI and Tableau, while leveraging platforms like Confluence, SharePoint, and Copilot for collaboration and knowledge management

Job Responsibility

Enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports
Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
Designing and building data pipelines to automate data movement and processing
Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI
Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements
Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs

What we offer

Medical, dental and vision coverage
401(k)
life insurance
other paid leave for qualifying circumstances
incentive award

Fulltime

Data Engineer

Join us as a Data Analyst at Barclays, where you'll spearhead the evolution of o...

Location

India , Bengaluru; Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

SQL (advanced)
Python (Pandas, PySpark)
PySpark (RDD, DataFrame API)
Hadoop ecosystem: HDFS, Hive, Pig, Impala
HiveQL, HQL optimization
Spark execution tuning
Hadoop cluster operations (basic)
Unix / Linux, Shell scripting
Additional SQL performance tuning
Service Management, Incident & Problem Management

Job Responsibility

Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.
Designing and building data pipelines to automate data movement and processing.
Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.

What we offer

wellness rooms
gyms
mental health support
modern workspaces
collaborative areas
state-of-the-art meeting rooms
on-site cafeterias
fitness centers
tech-equipped workstations

Fulltime

Fraud Risk AI Scientist

Location

United States , Charlotte

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field
2+ years of industry experience in Data Science, Machine Learning, or related areas
2+ years of experience with Python and SQL: Strong Python proficiency, including libraries such as scikit‑learn, XGBoost, LightGBM, pandas, and NumPy
Solid SQL skills for querying and transforming large datasets
Hands‑on experience with a range of ML techniques, including tree‑based models, regression, time series, causal analysis, and clustering
Ability to rapidly develop a deep statistical understanding of large, complex datasets
Experience in credit risk, lending, or fintech domains
Strong understanding of credit risk modeling concepts, including PD calibration, reject inference, adverse action logic, and risk segmentation
Experience working with tax and/or credit bureau data (TransUnion, Experian, Equifax) for credit model development
Familiarity with cash‑flow data as an alternative or complementary data source

Job Responsibility

Assist in the development, validation, and maintenance of real‑time fraud detection features
Design, build, evaluate, and defend machine learning models to predict fraud risk for Credit Karma Money products
Build efficient, reusable data pipelines for feature generation, model development, scoring, and reporting using Python, SQL, and CK’s Machine Learning/AI infrastructure
Deploy models into production in partnership with data science and engineering teams
Collaborate with business stakeholders to translate model outputs into fraud policies and operational strategies
Implement model performance and monitoring metrics (e.g., AUC, KS, Gini) and stability indices (e.g., PSI, CSI)
Ensure model fairness, interpretability, and compliance with regulatory frameworks, including FCRA and ECOA

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Senior Data Scientist

At TRKKN, we are driven by the excitement of taking our client's data-driven bus...

Location

Portugal , Lisbon

Salary:

Not provided

Trakken GmbH

Expiration Date

Until further notice

Requirements

Holds a Master’s degree in mathematics, statistics, physics, data science, computer science or a comparable educational background
Has professional experience of 3 to 5 years in analytics, machine learning or AI
Is proficient in Python and SQL
Has deep knowledge of statistical techniques and machine learning
Is customer-oriented and a strong analytical thinker
Has knowledge in technical and methodological aspects of running ML models in production
Is a strong storyteller and can effectively communicate technical concepts to non-technical clients and colleagues
Is a native speaker in Portuguese and fluent in written and spoken English (min. C1)

Job Responsibility

Solving complex business challenges by means of advanced analytics, predictive modeling, machine learning/AI or other statistical modeling
Developing and deploying minimally viable products
Consulting clients in the area of data science/ML/AI
Continuous collaboration with other technical departments such as Cloud Engineers, Solution Architects, etc. to facilitate deployments

What we offer

Competitive salary
Knowledge sharing & company events
Personal development plan & leadership training
Hybrid work model
Choose your own device

Fulltime

Lead Research Scientist

As a seasoned expert in GenAI research, you will spearhead our commitment to tra...

Location

United States , Seattle, WA, San Mateo, CA, New York, NY

Salary:

Not provided

Oumi

Expiration Date

Until further notice

Requirements

Ph.D. in Computer Science or related field (Machine Learning/AI)
Extensive publication history in top-tier AI/ML conferences and journals
Proven leadership skills, having led research efforts and managed projects to successful outcomes
Deep understanding of machine learning concepts (deep learning frameworks like PyTorch)
Familiarity with large language models (LLMs) and/or vision language models (VLMs)
Strong familiarity with open-source projects, a passion for contributing to the community
Self-starter who can work independently, take ownership of initiatives, and drive results
Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded

Job Responsibility

Lead research initiatives on LLM/VLM development, focusing on training, evaluation, data curation, benchmarking, and optimization techniques
Develop and execute strategic plans for advancing AI/ML capabilities within Oumi's open-source platform
Publish high-impact research in top-tier conferences and journals (e.g. NeurIPS, ICML, ACL, ICLR, …), contributing significant advancements to open AI
Develop and maintain partnerships with academic institutions, research labs, and individual scholars to create a robust network of open science contributors
Mentor junior researchers and engineers on best practices, sharing expertise to foster growth and development within the team

What we offer

Equity in a high-growth startup
Comprehensive health, dental and vision insurance
21 days PTO
Regular team offsites and events

Fulltime

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Machine Learning/AI Engineer

Job Description

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Requirements

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