CrawlJobs Logo

MLOps Engineer

barclays.co.uk Logo

Barclays

Location Icon

Location:
India , Noida

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

Embark on a transformative journey as ML Operations Engineer at Barclays, where you will play a pivotal role to manage operations within a business area and maintain processes with risk management initiatives. You will take ownership of your work and provide first-class support to our clients with expertise and care. To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.

Job Responsibility:

  • Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification
  • Execution of data cleansing and transformation tasks to prepare data for analysis
  • Designing and building data pipelines to automate data movement and processing
  • Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems
  • Documentation of data quality findings and recommendations for improvement
  • 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
  • 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
  • Consult on complex issues
  • providing advice to People Leaders to support the resolution of escalated issues
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda
  • Take ownership for managing risk and strengthening controls in relation to the work done
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises to solve problems creatively and effectively
  • Communicate complex information
  • Influence or convince stakeholders to achieve outcomes

Requirements:

  • Experience in Programming & Automation: Python, Bash, SQL
  • Worked in MLOps Tools: MLflow, Kubeflow, AWS SageMaker Pipelines
  • Cloud Platforms: AWS (SageMaker, Bedrock, Lambda, Step Functions, CloudWatch)
  • DevOps: CI/CD (GitHub Actions, Jenkins), Docker, Kubernetes
  • Data Management: Data curation, governance, and ETL processes
  • You may be assessed on key essential skills relevant to succeed 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
What we offer:
  • We offer modern workspaces, collaborative areas, and state-of-the-art meeting rooms
  • Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations
  • Health and wellness
  • A place where you can belong
  • Collaborative Areas
  • More than work
  • We celebrate the unique perspectives and experiences each individual brings, believing our differences make us stronger and drive success
  • We’re committed to providing a supportive and inclusive culture and environment for you to work in
  • We have a structured approach to hybrid working

Additional Information:

Job Posted:
January 15, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
Barclays - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for MLOps Engineer

MLOps Engineer

As an MLOps Engineer, you will help our clients with automating and managing the...
Location
Location
Belgium , Brussels
Salary
Salary:
Not provided
https://www.soprasteria.com Logo
Sopra Steria
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 3 years of experience as an MLOps Engineer, Machine Learning Engineer or in a similar position
  • Experience managing the machine learning lifecycle in production, and related MLOps frameworks
  • Master CI/CD pipelines and Infrastructure as Code
  • In depth knowledge of containers and container orchestration
  • Solid understanding of Linux and in depth knowledge of at least one cloud provider
  • Programming experience with Python
  • Experience with monitoring and logging technologies
  • Good grasp of big data technologies such as Apache Spark, ElasticSearch, Kafka
  • Able to coach others and give technical advice and direction
  • Understanding of networking, firewalls, and IT infrastructure
Job Responsibility
Job Responsibility
  • Design and implement solutions to automate the experimentation and release cycle of machine learning, from traditional ML to LLMs
  • Identify, design, and implement process improvements in the machine learning lifecycle: automating manual processes, optimizing data delivery, re-design infrastructure for greater scalability, etc
  • Collaborate with Data Scientists, Machine Learning Engineers, Data Engineers, and other IT roles to integrate all parts of the solution
  • Implement CI/CD pipelines, IaC, monitoring for models and infrastructure
What we offer
What we offer
  • A variety of perks, such as mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more
  • Continuous learning opportunities through the Sopra Steria Academy to support your career development
  • The opportunity to connect with fellow Sopra Steria colleagues at various team events
  • Fulltime
Read More
Arrow Right

Staff MLOps Engineer

At Inworld, we’re building the AI framework behind the next generation of real-t...
Location
Location
United States , Mountain View
Salary
Salary:
180000.00 - 280000.00 USD / Year
inworld.ai Logo
Inworld AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of software engineering experience, with 5+ years of infrastructure-as-code
  • Proficiency in managing Kubernetes clusters and applications, including creating Helm charts/Kustomize manifests for new applications
  • Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments (using tools like Terraform/Terragrunt, ArgoCD, GitHub Actions, Ansible, etc.)
  • Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, Oracle Cloud)
  • Proficient in at least one backend programming/scripting languages such as Golang, Python, and Bash
  • Knowledge of SLURM or similar job schedulers for distributed training
  • Experience with data pipeline and workflow management tools
  • Desire to work at a fast-growing Series A startup, comfortable with uncertainty, owning and scaling new products, and embracing an experimental and iterative development process
  • In-office location: Mountain View, CA, United States. You must be available for hybrid work
Job Responsibility
Job Responsibility
  • Build and scale MLOps systems to streamline the end-to-end ML model lifecycle on the Inworld AI platform, from training to deployment
  • Design and implement robust model training, evaluation, and release pipelines
  • Collaborate cross-functionally with ML and backend teams to design, deploy, and maintain scalable secure infrastructure for Inworld’s AI Engine and Studio
  • Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring the reliability, availability, and performance of services
  • Manage CI/CD pipelines to ensure smooth and efficient code integration and deployment
  • Identify and implement opportunities to enhance engineering speed and efficiency
  • Provide technical leadership in ML engineering best practices, raise the technical bar, and mentor junior engineers in MLOps principles
What we offer
What we offer
  • equity and benefits
  • Fulltime
Read More
Arrow Right

Staff MLOps Engineer

At Inworld, we’re building the AI framework behind the next generation of real-t...
Location
Location
Canada , Vancouver
Salary
Salary:
190000.00 - 240000.00 CAD / Year
inworld.ai Logo
Inworld AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of software engineering experience
  • 5+ years of infrastructure-as-code
  • Proficiency in managing Kubernetes clusters and applications, including creating Helm charts/Kustomize manifests for new applications
  • Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments (using tools like Terraform/Terragrunt, ArgoCD, GitHub Actions, Ansible, etc.)
  • Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, Oracle Cloud)
  • Proficient in at least one backend programming/scripting languages such as Golang, Python, and Bash
  • Knowledge of SLURM or similar job schedulers for distributed training
  • Experience with data pipeline and workflow management tools
  • Desire to work at a fast-growing Series A startup, comfortable with uncertainty, owning and scaling new products, and embracing an experimental and iterative development process
Job Responsibility
Job Responsibility
  • Build and scale MLOps systems to streamline the end-to-end ML model lifecycle on the Inworld AI platform, from training to deployment
  • Design and implement robust model training, evaluation, and release pipelines
  • Collaborate cross-functionally with ML and backend teams to design, deploy, and maintain scalable secure infrastructure for Inworld’s AI Engine and Studio
  • Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring the reliability, availability, and performance of services
  • Manage CI/CD pipelines to ensure smooth and efficient code integration and deployment
  • Identify and implement opportunities to enhance engineering speed and efficiency
  • Provide technical leadership in ML engineering best practices, raise the technical bar, and mentor junior engineers in MLOps principles
What we offer
What we offer
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

MLOps Engineer

WFH flexibility! Up to 4 days/week! Global Environment! Competitive salary!
Location
Location
Japan , Tokyo
Salary
Salary:
8000000.00 - 10000000.00 JPY / Year
https://www.randstad.com Logo
Randstad
Expiration Date
June 10, 2026
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in MLOps, DevOps, or a related field
  • Proven experience in deploying and managing machine learning models in production environments
  • Proficiency in programming languages such as Python
  • Strong knowledge of machine learning frameworks and libraries
  • Experience with cloud platforms and services, ideally with Azure ML, but others such as AWS SageMaker, Google AI Platform, or Databricks etc are also acceptable
  • Hands-on experience with MLOps tools and practices, including CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes)
  • Proficiency in SQL and working with large datasets
  • Familiarity with version control systems (e.g., Git) and collaborative development workflows
  • Strong problem-solving skills and attention to detail
Job Responsibility
Job Responsibility
  • Deploying and managing machine learning models in production environments
  • Working with MLOps tools, CI/CD pipelines, containerization, and orchestration
  • Working with cloud platforms and large datasets
What we offer
What we offer
  • Health insurance
  • Employee pension insurance
  • Employment insurance
  • Saturday
  • Sunday
  • Holiday
  • Fulltime
Read More
Arrow Right

Senior MLOps Engineer

A fast-growing, VC-backed AI company is seeking a Senior MLOps Engineer to help ...
Location
Location
United States
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience in MLOps with hands-on ownership of production ML systems
  • Degree in Computer Science or a related field (Bachelor’s or Master’s)
  • Strong expertise in Python and ML libraries (TensorFlow, PyTorch, or similar)
  • Experience with ML lifecycle management tools
  • Practical experience deploying and monitoring deep learning models
  • Proficiency with cloud platforms (AWS, Azure, or GCP)
Job Responsibility
Job Responsibility
  • Design, build, and maintain infrastructure for deploying, monitoring, and updating ML models in production
  • Automate end-to-end pipelines covering ingestion, preprocessing, training, validation, and deployment
  • Implement monitoring for model performance, drift, latency, and accuracy
  • Ensure ML systems are secure, scalable, and cost-efficient
  • Partner with ML engineers, data scientists, and product teams to move models seamlessly from research to production
  • Apply software engineering best practices—including CI/CD, testing, and version control—to ML workflows
  • Continuously improve documentation, tooling, and infrastructure
What we offer
What we offer
  • great equity and the chance to join a rocketship
  • Fulltime
Read More
Arrow Right

Senior Mlops Engineer

Location
Location
Japan , Tokyo
Salary
Salary:
9000000.00 - 15000000.00 JPY / Year
https://www.randstad.com Logo
Randstad
Expiration Date
March 24, 2026
Flip Icon
Requirements
Requirements
  • Must have 5+ years of experience in MLOps, DevOps, or related fields
  • Must have proven experience with tools like Hugging Face, MLFlow, and containerization technologies (Docker, Kubernetes)
  • Must have strong experience with cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform)
  • Must have hands-on experience in reducing inference latency and optimizing AI infrastructure
  • Must have proficiency in Python, with experience in ML libraries such as TensorFlow, PyTorch, and related frameworks
  • Must have expertise in CI/CD pipelines, version control (Git), and orchestration tools
  • Must have familiarity with Generative AI, prompt engineering, and deploying models at scale
  • Must have excellent problem-solving skills with the ability to tackle complex challenges independently
What we offer
What we offer
  • Health insurance
  • Employee pension insurance
  • Unemployment insurance
  • Fulltime
Read More
Arrow Right

Data Engineer Senior

We are looking for a highly skilled professional to lead the industrialisation o...
Location
Location
Portugal , Lisbon
Salary
Salary:
Not provided
https://www.inetum.com Logo
Inetum
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum of 5 years’ experience in MLOps, data engineering, or DevOps with a focus on ML/DL/LLM/AI agents in production environments
  • Strong proficiency in Python
  • Hands-on experience with CI/CD tools such as GitLab, Docker, Kubernetes, Jenkins
  • Solid understanding of ML, DL, and LLM models
  • Experience with ML lifecycle tools such as MLflow or DVC
  • Good understanding of model lifecycle, data traceability, and governance frameworks
  • Experience with on-premise and hybrid infrastructures
  • Excellent communication skills and ability to collaborate with remote teams
  • Proactive mindset, technical rigour, and engineering mentality
  • Willingness to learn, document, and standardise best practices
Job Responsibility
Job Responsibility
  • Analyse, monitor, and optimise ML models, tracking their performance
  • Design and implement CI/CD pipelines for ML models and data flows
  • Containerise and deploy models via APIs, batch processes, and streaming
  • Manage model versioning and traceability
  • Ensure continuous improvement and adaptation of AI use cases and ML models
  • Set up monitoring and alerting for model performance
  • Establish incident response protocols in collaboration with IT
  • Maintain dashboards and automated reports on model health
  • Implement validation frameworks for data and models (e.g., Great Expectations, unit tests, stress tests), in collaboration with Group Governance
  • Contribute to documentation and apply technical best practices
What we offer
What we offer
  • Work in a constantly evolving environment
  • Contribute to digital impact
  • Opportunity for growth and development
  • Fulltime
Read More
Arrow Right

Machine Learning Platform / Backend Engineer

We are seeking a Machine Learning Platform/Backend Engineer to design, build, an...
Location
Location
Serbia; Romania , Belgrade; Timișoara
Salary
Salary:
Not provided
everseen.ai Logo
Everseen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4-5+ years of work experience in either ML infrastructure, MLOps, or Platform Engineering
  • Bachelors degree or equivalent focusing on the computer science field is preferred
  • Excellent communication and collaboration skills
  • Expert knowledge of Python
  • Experience with CI/CD tools (e.g., GitLab, Jenkins)
  • Hands-on experience with Kubernetes, Docker, and cloud services
  • Understanding of ML training pipelines, data lifecycle, and model serving concepts
  • Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML)
  • A demonstrated understanding of the ML lifecycle, model versioning, and monitoring
  • Experience with ML frameworks (e.g., TensorFlow, PyTorch)
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable infrastructure that empowers data scientists and machine learning engineers
  • Own the design and implementation of the internal ML platform, enabling end-to-end workflow orchestration, resource management, and automation using cloud-native technologies (GCP/Azure)
  • Design and manage Kubernetes-based infrastructure for multi-tenant GPU and CPU workloads with strong isolation, quota control, and monitoring
  • Integrate and extend orchestration tools (Airflow, Kubeflow, Ray, Vertex AI, Azure ML or custom schedulers) to automate data processing, training, and deployment pipelines
  • Develop shared services for model behavior/performance tracking, data/datasets versioning, and artifact management (MLflow, DVC, or custom registries)
  • Build out documentation in relation to architecture, policies and operations runbooks
  • Share skills, knowledge, and expertise with members of the data engineering team
  • Foster a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions
  • Collaborate and drive progress with cross-functional teams to design and develop new features and functionalities
  • Ensure that the developed solutions meet project objectives and enhance user experience
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy