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

Director, Software Engineering

As the Director of Engineering for Studio 360, you will be the visionary leader ...

Location

United States , Pleasanton, California

Salary:

251000.00 - 314500.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

16 or more years of relevant industry experience
Significant tenure with a US product company with experience in global engineering practices
8 or more years of experience in managing software engineering teams, internal infrastructure, developer tools, or distributed computing infrastructure
3 or more years of direct Engineering Management or DevOps, with hands-on leadership experience, including continuous builds and deployments, continuous integration, log collection and analysis, performance monitoring and tuning, as well as security
5 or more years of direct experience in Agile Methodologies, processes, and best practices
7 or more years of recent experience in supervisory positions, directing and managing employees either directly or through subordinate management staff
Recent experience in a director-level role overseeing software engineering in large-scale organizations focused on Web Applications/SaaS
Excellent leadership skills showing commitment, strategic foresight and planning, integrity, and moving the team and organization towards continual success
Highly communicative leader who can reduce inefficiencies and ensure clarity
Proven ability to mentor leaders within the organization to create additional leadership opportunities for staff, as well as allowing the ability to separate tactical vs. strategic thinkers

Job Responsibility

Be the visionary leader at the heart of one of BlackLine's most strategic products
Own the technical strategy and execution for Studio 360, championing engineering excellence and managing KPIs for quality, predictability, flow, and velocity to deliver robust, high-quality features that define the future of financial automation
Lead a world-class, cross-functional organization of managers and engineers, you will drive innovation and best practices in architecture, code health, and agile delivery
Act as a key strategic partner to product management, design, and other business leaders to define and align on the long-term vision and roadmap for Studio 360
Develop the next generation of engineering talent, fostering a culture of curiosity, collaboration, and ownership

What we offer

Short-term and long-term incentive programs, based on eligibility
Robust offering of benefit and wellness plans

Fulltime

Director, Software Engineering

As the Director of Engineering, you will be at the very heart of BlackLine’s eng...

Location

India , Bengaluru

Salary:

Not provided

BlackLine

Expiration Date

Until further notice

Requirements

16 or more years of relevant industry experience
Significant tenure with a US product company with experience in global engineering practices
8 or more years of experience in managing software engineering teams, internal infrastructure, developer tools, or distributed computing infrastructure
3 or more years of direct Engineering Management or DevOps, with hands-on leadership experience, including continuous builds and deployments, continuous integration, log collection and analysis, performance monitoring and tuning, as well as security
5 or more years of direct experience in Agile Methodologies, processes, and best practices
7 or more years of recent experience in supervisory positions, directing and managing employees either directly or through subordinate management staff
Recent experience in a director-level role overseeing software engineering in large-scale organizations focused on Web Applications/SaaS
Excellent leadership skills showing commitment, strategic foresight and planning, integrity, and moving the team and organization towards continual success
Highly communicative leader who can reduce inefficiencies and ensure clarity
Proven ability to mentor leaders within the organization to create additional leadership opportunities for staff, as well as allowing the ability to separate tactical vs. strategic thinkers

Job Responsibility

Deeply technical hands-on knowledge of SDLC, Design Patterns, Automation Testing, Agile Methodologies, CI/CD Concepts, best practices, and Cloud-based initiatives
Provide technical and operational leadership, with a demonstrated ability to lead at all levels
Ability to proactively anticipate challenges, and see around the corner for future obstacles
Manage a team of Frontend and Backend Engineers, Scrum Masters, and Managers, focusing on effective prioritization of work while balancing quality and delivery, all in the clear focus of understanding our clients’ needs and delivering solutions for those needs
Lead and contribute to solutions for complex technical challenges related to developer and engineering productivity, quality assurance and controls, and delivery velocity
Passionate about the technical and business opportunities that our customers’ problems and needs present
Maintain up-to-date knowledge of the application and business use cases, mentoring this knowledge throughout this position’s direct reports
Drive adoption and champion best practices in code health, sound architecture and design, testing (TDD/BDD), CI/CD, maintainability, and deliverability
Oversee the development of platform capabilities, SaaS-based components and APIs, tools, processes, and other facets as needed to streamline development, reduce time to delivery, increase quality, and promote a culture of excellence within the organization
Spearhead the development, integration, and lifecycle of mature engineering processes, suites, and tools, driving the application and organization to a modern, automated, and continually tested approach

What we offer

A technology-based company with a sense of adventure and a vision for the future
A culture that is kind, open, and accepting
A culture where BlackLiner's continued growth and learning is empowered
BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity

Fulltime

Data Engineer

Join us as a Data Engineer responsible for supporting the successful delivery of...

Location

India , Bengaluru

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Hands on experience in pyspark and strong knowledge on Dataframes, RDD and SparkSQL
Hands on Experience in developing, testing and maintaining applications on AWS Cloud
Strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena)
Design and implement scalable and efficient data transformation/storage solutions using Snowflake
Experience in Data ingestion to Snowflake for different storage format such Parquet, Iceberg, JSON, CSV etc
Experience in using DBT (Data Build Tool) with snowflake for ELT pipeline development
Experience in Writing advanced SQL and PL SQL programs
Hands On Experience for building reusable components using Snowflake and AWS Tools/Technology
Should have worked at least on two major project implementations

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
on-site cafeterias
fitness centers
tech-equipped workstations

Fulltime

Data Engineer

A career in Data & Analytics at Barclays is a hub for top talent, from beginners...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Hands on experience in pyspark and strong knowledge on Dataframes, RDD and SparkSQL
Hands on Experience in developing, testing and maintaining applications on AWS Cloud
Strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena)
Design and implement scalable and efficient data transformation/storage solutions using Snowflake
Experience in Data ingestion to Snowflake for different storage format such Parquet, Iceberg, JSON, CSV etc
Experience in using DBT (Data Build Tool) with snowflake for ELT pipeline development
Experience in Writing advanced SQL and PL SQL programs
Hands On Experience for building reusable components using Snowflake and AWS Tools/Technology
Should have worked at least on two major project implementations

Job Responsibility

Support the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards
Spearhead the evolution of our digital landscape, driving innovation and excellence
Harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences
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

Hybrid working
Structured approach to hybrid working with fixed, ‘anchor’, days onsite
Supportive and inclusive culture and environment
Commitment to flexible working arrangements
International scale offering incredible variety, depth and breadth of experience
Chance to learn from a globally diverse mix of colleagues
Encouragement to embrace mobility and explore every part of operations

Fulltime

Data Modeller

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

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Partner with business stakeholders to understand their data needs and their desired functionality for the data product. Translate these requirements into clear data modelling specifications
Designs and implements high-quality data models that optimize data access, storage, and analysis as well as ensuring alignment to BCDM
Creates comprehensive and well-maintained documentation of the data models, including entity relationship diagrams, data dictionaries, and usage guidelines
Collaborates with data engineers to test and validate the data models
Obtains sign-off from the DPL, DPA and the Technical Product Lead on the logical and physical data models
Continuously monitor and optimise the performance of the models and data solutions to ensure efficient data retrieval & processing
Collaborates with data engineers to translate into physical data models and throughout the development lifecycle
Manages the business as usual ‘BAU’ data model and solution covering enhancements and changes
Helps DSA in defining the legacy estate migration and decommissioning roadmap for the assigned BUK data domain
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills

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
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes
Consult on complex issues

What we offer

Hybrid working
We’re committed to providing a supportive and inclusive culture and environment for you to work in
We celebrate the unique perspectives and experiences each individual brings, believing our differences make us stronger and drive success

Fulltime

Machine Learning/AI Engineer

Robert Half

Location:
United States , St. Louis, MO ▼
Creve Coeur, MO

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 16, 2026

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