Machine Learning Engineer Job at Barclays (Glasgow)

New

Machine Learning Engineer

We are Woolworths Group. Woolworths Group is an Australian food and everyday nee...

Location

Australia , Sydney

Salary:

Not provided

Woolworths Supermarkets

Expiration Date

Until further notice

Requirements

Bachelor's degree or above in Computer Science, Engineering, or a related field
3+ years of commercial software development experience
2+ years of hands-on experience in Python, SQL, and Linux
Hands-on experience with manipulating and processing large, complex datasets (preferred)
Hands-on experience with social media statistics/metrics APIs/tools (preferred)
Hands-on experience with containerized solutions such as Docker (preferred)
Hands-on experience with GenAI(LLM) solutions (preferred)
Experience building Machine Learning / Data pipelines (preferred)
Experience building RESTful APIs (preferred)
Experience in ML Engineering, MLOps, or DevOps (preferred)

Job Responsibility

Design, develop, implement, scale and maintain Advanced Analytics Solutions
Design, develop, implement, scale and maintain Advanced Analytics solutions using predominantly Google Cloud (GCP) products
Develop Cloud based ML pipelines to solve a broad range of business problems
Grow the Engineering Guild capability through pioneering new tech and approaches to improve time to market, reliability and performance of Data Science applications
Work collaboratively with Data Scientists, ML Engineers & Data Engineers to develop cutting edge retail tools in an agile manner
Create, present and seek inputs and feedback on architecture, solution designs and foster alignment and support for solutions
Apply relevant testing frameworks to ensure the robustness of solutions
Communicate analyses, insights, solution designs and showcase working solutions

What we offer

Team discounts across our range of Woolworths Group brands
12 weeks paid parental leave for primary caregivers plus paid superannuation for up to 12 months while the Team Member is on parental leave - eligible from the first day of employment
24/7 access to the Sonder app

Fulltime

New

Machine Learning Engineer

We are looking for a seasoned Machine Learning Engineer to join our Client Subsc...

Location

United Kingdom , London

Salary:

525.00 - 715.00 GBP / Day

Randstad

Expiration Date

July 09, 2026

Requirements

Minimum 5+ years of proven industry experience working on production-level ML systems
Strong proficiency in TensorFlow is strictly required
Experience with Kubeflow is a massive plus
Complete comfort handling the end-to-end ML lifecycle: prototyping, building robust data pipelines, monitoring, and executing drift detection
A collaborative team player who can easily interface with business stakeholders, translate business needs into technical objectives, and provide clear technical direction

Job Responsibility

You will anchor their Payments Optimization efforts-improving payment retry mechanisms, reducing failures, and collaborating on network token optimization within their commerce domain
You'll step into an agile, highly collaborative environment of 5-6 tightly-knit engineers with daily stand-ups and a strong peer-support structure

Fulltime

!

Machine Learning Engineer

We are looking for a pragmatic, curious, and AI-fluent Machine Learning Engineer...

Location

Germany , Berlin

Salary:

Not provided

Remerge

Expiration Date

Until further notice

Requirements

Strong proficiency in Python and TensorFlow for building ML models
Comfortable reading Go to navigate online serving services
Growth mindset
Healthy skepticism and pragmatism
Ownership mindset
AI-forward
Adaptable and thrive with autonomy

Job Responsibility

Develop and scale ML models
Own the full ML path
Optimize the bidding engine
Run and analyze experiments
Collaborate cross-functionally
Augment your workflow
Feature engineering and online/offline consistency

What we offer

Unlimited vacation days
Work from home, from office in Berlin, or remotely
Generous remuneration package including virtual shares and dedicated education budget
End of year bonus
Short Term Assignment (STA) program
Comfortable work setup - laptop, phone, screen(s), standing desk
Support for home setup
Wellness benefits such as sports memberships, Nilo Health subscription and internet reimbursements
Company events including breakfast twice a week, team lunches, birthday and milestone celebrations, quarterly team events and company-wide parties and trips

Fulltime

Machine Learning Engineer

We are seeking a talented Machine Learning Engineer to design and build advanced...

Location

United Kingdom , Glasgow

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Proven experience in machine learning development, including training and/or deploying models in production environments
Strong programming skills in Python
Experience working with distributed data processing frameworks (e.g., Spark)
Familiarity with deep learning or NLP frameworks (e.g., PyTorch, Hugging Face)
Good understanding of software engineering principles and machine learning lifecycle practices (MLOps/LLMOps)
Experience contributing to ML projects and working with cross-functional stakeholders

Job Responsibility

Design and build advanced machine learning and AI solutions that enhance our ability to detect financial crime, prevent fraud, and safeguard our customers
Developing scalable ML pipelines, building production-ready model code, and supporting robust monitoring systems
Contribute across the full machine learning lifecycle, from initial concept and data exploration through to deployment, while ensuring adherence to governance, documentation, and regulatory standards

What we offer

Fitness Suite
fitness classes
on-site GP
bicycle store
rooftop bar, The Beacon

Fulltime

Machine Learning Engineer

Location

United States , Los Angeles

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints
Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments
Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance
Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines
Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research
Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents
Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance
Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications
Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy
Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution

Job Responsibility

ML Model Deployment & Platform Management
Generative AI & LLM Operations
Automation & CI/CD Pipelines

What we offer

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

Machine Learning Engineer

We are looking for a Machine Learning Engineer to build and support production-r...

Location

United States , Los Angeles

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in machine learning engineering, MLOps, or a closely related technical role
Strong proficiency in Python and practical experience building machine learning solutions in production environments
Hands-on expertise with Databricks and familiarity with capabilities such as experiment tracking, model governance, workflows, and feature management
Experience deploying and maintaining generative AI or large language model applications, including retrieval-based architectures and vector databases
Solid understanding of automation, CI/CD practices, and workflow orchestration for data and model pipelines
Background working with machine learning frameworks such as TensorFlow and applying AI techniques in real-world business settings
Knowledge of model evaluation, monitoring, and governance practices with attention to reliability, compliance, and traceability

Job Responsibility

Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use
Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management
Establish disciplined processes for model version control, retraining, and artifact governance using tools such as Unity Catalog
Develop and administer a feature store strategy that keeps training and inference data consistent across machine learning workflows
Design retrieval-augmented generation solutions that allow internal teams to search and interact with documents such as fund materials, investor communications, and research content
Implement and manage vector search platforms to support semantic retrieval across large collections of enterprise documents
Customize and fine-tune large language models using proprietary datasets while protecting data privacy and meeting compliance expectations
Build document ingestion and transformation pipelines that handle parsing, segmentation, and embedding creation for generative AI applications
Introduce prompt design standards, evaluation methods, and application safeguards to improve response quality, reduce hallucinations, and provide source-backed outputs
Automate training, testing, orchestration, and deployment workflows through CI/CD pipelines and tools such as Databricks Workflows, GitHub Actions, Azure DevOps, Airflow, or Prefect

What we offer

Medical, vision, dental, and life and disability insurance
Company 401(k) plan

Machine Learning Engineer

The Data Engineer is a seasoned subject matter expert, responsible for the trans...

Location

Thailand , Bangkok

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Seasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities
Seasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
Seasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
Seasoned understanding of data architecture landscape between physical and logical data models
Analytical mindset with excellent business acumen skills
Problem-solving aptitude with the ability to communicate effectively, both written and verbal
Ability to build effective relationships at all levels within the organization
Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.)
Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
Relevant certifications preferred such as SAP, Microsoft Azure etc.

Job Responsibility

Creates data models in a structured data format to enable analysis thereof
Designs and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
Participates in the transformation of object and data models into appropriate database schemas within design constraints
Interprets installation standards to meet project needs and produce database components as required
Creates test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
Accountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems
Works across multiple IT and business teams to define and implement data table structures and data models based on requirements
Accountable for analysis, and development of ETL and migration documentation
Collaborates with various stakeholders to evaluate potential data requirements
Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives

Fulltime

Machine Learning Engineer

You will play a key role in a regulatory submission content automation initiativ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s / Bachelor’s degree and 5 - 8 years of experience in Software Engineering, Data Science or Machine Learning Engineering Experience
Strong foundation in machine learning algorithms and techniques
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, langchain)
Familiar with AWS, Azure, or Google Cloud

Job Responsibility

Develop and deploy applications that utilize LLMs such as OpenAI GPT 4, Claude, Gemini
Build and maintain MLOps pipelines, including data ingestion, versioning, chunking, vectorization, feature engineering, model training, deployment, and monitoring
Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment
Implement DevOps/MLOps/LLMOps best practices to automate ML workflows and improve efficiency
Develop and implement monitoring systems to track model performance and identify issues
Conduct A/B testing and experimentation to optimize model performance
Work closely with data scientists, engineers, and product teams to deliver ML solutions
Stay updated with the latest trends and advancements

Fulltime

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