CrawlJobs Logo

Sr. Engineer, ML Platform

deliveryhero.com Logo

Delivery Hero

Location Icon

Location:
United Kingdom , London

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

As the leading delivery platform in the region, we have a unique responsibility and opportunity to positively impact millions of customers, restaurant partners, and riders. To achieve our mission, we must scale and continuously evolve our machine learning capabilities, including cutting-edge Generative AI (genAI) initiatives. This demands robust, efficient, and scalable ML platforms that empower our teams to rapidly develop, deploy, and operate intelligent systems. As an ML Platform Engineer, your mission is to design, build, and enhance the infrastructure and tooling that accelerates the development, deployment, and monitoring of traditional ML and genAI models at scale. You’ll collaborate closely with data scientists, ML engineers, genAI specialists, and product teams to deliver seamless ML workflows—from experimentation to production serving—ensuring operational excellence across our ML and genAI systems.

Job Responsibility:

  • Design, build, and maintain scalable, reusable, and reliable ML platforms and tooling that support the entire ML lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring for both traditional and generative AI models
  • Develop standardized ML workflows and templates using MLflow and other platforms, enabling rapid experimentation and deployment cycles
  • Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking to support reproducibility, scalability, and governance in ML and genAI
  • Collaborate closely with genAI experts to integrate and optimize genAI technologies, including transformers, embeddings, vector databases (e.g., Pinecone, Redis, Weaviate), and real-time retrieval-augmented generation (RAG) systems
  • Automate and streamline ML and genAI model training, inference, deployment, and versioning workflows, ensuring consistency, reliability, and adherence to industry best practices
  • Ensure reliability, observability, and scalability of production ML and genAI workloads by implementing comprehensive monitoring, alerting, and continuous performance evaluation
  • Integrate infrastructure components such as real-time model serving frameworks (e.g., TensorFlow Serving, NVIDIA Triton, Seldon), Kubernetes orchestration, and cloud solutions (AWS/GCP) for robust production environments
  • Drive infrastructure optimization for generative AI use-cases, including efficient inference techniques (batching, caching, quantization), fine-tuning, prompt management, and model updates at scale
  • Partner with data engineering, product, infrastructure, and genAI teams to align ML platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap
  • Contribute actively to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement

Requirements:

  • Strong software engineering background with experience in building distributed systems or platforms designed for machine learning and AI workloads
  • Expert-level proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch), infrastructure tooling (MLflow, Kubeflow, Ray), and popular APIs (Hugging Face, OpenAI, LangChain)
  • Experience implementing modern MLOps practices, including model lifecycle management, CI/CD, Docker, Kubernetes, model registries, and infrastructure-as-code tools (Terraform, Helm)
  • Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed ML services (e.g., Vertex AI, SageMaker)
  • Proven experience with generative AI technologies: transformers, embeddings, prompt engineering strategies, fine-tuning vs. prompt-tuning, vector databases, and retrieval-augmented generation (RAG) systems
  • Experience designing and maintaining real-time inference pipelines, including integrations with feature stores, streaming data platforms (Kafka, Kinesis), and observability platforms
  • Familiarity with SQL and data warehouse modeling
  • capable of managing complex data queries, joins, aggregations, and transformations
  • Solid understanding of ML monitoring, including identifying model drift, decay, latency optimization, cost management, and scaling API-based genAI applications efficiently
  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • advanced degree is a plus
  • 3+ years of experience in ML platform engineering, ML infrastructure, generative AI, or closely related roles
  • Proven track record of successfully building and operating ML infrastructure at scale, ideally supporting generative AI use-cases and complex inference scenarios
  • Strategic mindset with strong problem-solving skills and effective technical decision-making abilities
  • Excellent communication and collaboration skills, comfortable working cross-functionally across diverse teams and stakeholders
  • Strong sense of ownership, accountability, pragmatism, and proactive bias for action

Additional Information:

Job Posted:
January 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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

Briefcase Icon

Similar Jobs for Sr. Engineer, ML Platform

Sr. Staff ML Platform Engineer

Machine learning is the crucial enabler for every financial service that EarnIn ...
Location
Location
United States , Mountain View
Salary
Salary:
360000.00 - 440000.00 USD / Year
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
  • 8+ years of industry machine learning experience and excellent software engineering skills
  • Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
  • Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI
  • Familiarity with data pipelines and workflow management tools
  • Strong communication and collaboration skills
  • Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering
Job Responsibility
Job Responsibility
  • Design, build, and maintain a robust ML platform and tooling ecosystem that supports the entire machine learning lifecycle, from experimentation to production
  • Lead and mentor a team of ML engineers, deeply understanding their workflows to streamline model training, deployment, and monitoring, while ensuring reproducibility and consistency of results
  • Drive scalability, reliability, and cost efficiency of the ML platform, balancing performance with ease of use for scientists and engineers
  • Evaluate and adopt emerging technologies to continually advance the organization’s machine learning capabilities and maintain a competitive edge
  • Champion operational excellence, setting a high bar for engineering quality, reliability, and automation
  • Act as a catalyst for innovation, spearheading step-change improvements that unlock new opportunities for growth and efficiency
What we offer
What we offer
  • equity and benefits
  • Fulltime
Read More
Arrow Right

Sr. Principal Software Engineer – Search & Recommendation

We are seeking a Sr. Principal Search & Recommendation Engineer to lead the desi...
Location
Location
United States , Seattle
Salary
Salary:
277391.00 - 342391.00 USD / Year
highspot.com Logo
Highspot
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience building and scaling search or recommendation systems in production environments
  • Deep expertise in information retrieval, ranking algorithms, collaborative filtering, and/or neural search techniques
  • Strong programming skills in Python, Java, or Scala
  • experience with ML and IR frameworks such as Elasticsearch, FAISS, TensorFlow, or PyTorch
  • Familiarity with LLMs, embeddings, and modern vector search infrastructure
  • Proven leadership in cross-functional environments with a track record of mentoring and guiding technical teams
  • Strong grasp of MLOps practices and experience with cloud-native ML infrastructure (e.g., AWS, GCP)
Job Responsibility
Job Responsibility
  • Lead the end-to-end development of modern search and recommendation systems, from architecture to production deployment
  • Drive technical strategy and innovation in search relevance, personalized ranking, semantic search, and ML-powered retrieval/grounding
  • Collaborate with product, design, and data teams to define and deliver intelligent user experiences
  • Influence platform-level decisions on data pipelines, experimentation frameworks, and performance optimization
  • Mentor engineers, foster technical excellence, and promote a culture of learning and innovation
What we offer
What we offer
  • Comprehensive medical, dental, vision, disability, and life benefits
  • Health Savings Account (HSA) with employer contribution
  • 401(k) Matching with immediate vesting on employer match
  • Flexible PTO
  • 8 paid holidays and 5 paid days for Annual Holiday Week
  • Quarterly Recharge Fridays (paid days off for mental health recharge)
  • 18 weeks paid parental leave
  • Access to Coaches and Therapists through Modern Health
  • 2 volunteer days per year
  • Commuting benefits
  • Fulltime
Read More
Arrow Right
New

Sr Software Engineer - Python

As a Sr. Software Engineer, you serve as a specialist in the engineering team th...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
blueyonder.com Logo
Blue Yonder
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science is required, Masters is preferred
  • 4+ years of software engineering experience building production software
  • Experience in Frontend technologies, JavaScript, TypeScript, React
  • Good working knowledge of Kubernetes and other virtualized execution technologies
  • 1+ years of experience working on at least one cloud environment, GCP preferred
  • 4+ years of Python programming experience with excellent understanding of Object-Oriented Design & Patterns
  • 3+ years of experience in building REST APIs
  • 1+ Working Experience on Kafka and its integration with Cloud Services
  • 3+ years of Linux scripting experience
  • 1+ years working with traditional and new relational SQL DBMS
Job Responsibility
Job Responsibility
  • Design, architect, implement and help operate the Machine Learning platform
  • Develop and gain insight in the application architecture
  • Distill an abstract architecture into concrete design and influence the implementation
  • Observing inefficiencies, both in cost and reliability, of existing processes
  • Researching alternative solutions using custom or existing open source technologies
  • Designing replacement processes and components
  • Implementing processes, extending and configuring open source components
  • Work with the ML DevOps and Support teams to operate ML platform
  • Helping implement DevOps best practices of in-house and open source components
  • Ensuring smooth operation via monitoring and alerting facilities
  • Fulltime
Read More
Arrow Right
New

Sr Machine Learning Engineer

We are seeking a Sr Machine Learning Engineer—Amgen’s most senior individual-con...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3-5 years in AI/ML and enterprise software
  • Comprehensive command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques
  • Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale
  • Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel)
  • Proficiency in Python and Java
  • containerisation (Docker/K8s)
  • cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines)
  • Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives
  • Exceptional stakeholder management
  • can translate complex technical concepts into concise, outcome-oriented narratives
Job Responsibility
Job Responsibility
  • Engineer end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimisation, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks
  • Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications
  • Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency
  • Optimise performance and cost at scale—selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantisation/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets
  • Instrument comprehensive observability—real-time metrics, distributed tracing, drift & bias detection and user-behaviour analytics—enabling rapid diagnosis and continuous improvement of live models and applications
  • Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams
  • Contribute reusable platform components—feature stores, model registries, experiment-tracking libraries—and evangelise best practices that raise engineering velocity across squads
  • Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness
  • Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs
Read More
Arrow Right

Sr. Machine Learning Engineer

We are seeking a Machine Learning Engineer to join our StudioLAB team – an innov...
Location
Location
United States , Burbank
Salary
Salary:
Not provided
softwareresources.com Logo
Software Resources
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree in Computer Science, Machine Learning, or related technical field with 5+ years of professional experience
  • Strong track record of developing and deploying machine learning models in production environments
  • 7+ years of Python software engineering experience with a focus on building scalable applications
  • Proficient in modern ML frameworks and libraries (PyTorch, TensorFlow, Scikit-learn)
  • Experience with software development best practices (Git, testing, code reviews)
  • Strong understanding of ML fundamentals including model training, validation and evaluation methods
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker)
  • Knowledge of data structures, algorithms, and system design principles
  • Excellent problem-solving skills and ability to work independently and as part of a team
  • Strong communication skills with the ability to explain completed technical concepts clearly
Job Responsibility
Job Responsibility
  • Design, develop, debug and deploy new applications of machine learning using frameworks such as PyTorch and TensorFlow
  • Implement ML models for diverse use cases including computer vision, generative AI, and optimization problems
  • Participate in the full ML lifecycle from data preparation to model deployment and monitoring
  • Test and benchmark academic papers, ML applications and tools to identify cutting-edge approaches
  • Stay current with ML research trends and evaluate their potential application to studio needs
  • Contribute to internal knowledge sharing and potentially external publications
  • Guide technology transfer both to and from external teams and research partners
  • Work closely with our partners across the Studios to understand and address their technical needs
  • Communicate complex ML concepts to both technical and non-technical stakeholders
  • Maintain high code quality standards with proper testing, documentation and version control
What we offer
What we offer
  • medical, dental, and vision coverage
  • a 401(k) with company match
  • short-term disability
  • life insurance with AD&D
  • Fulltime
Read More
Arrow Right
New

Sr associate IS Data Engineer

The Amgen India Digital Technology & Innovation (DTI) Sr. Associate IS Data Engi...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree and 1 years of Information Systems experience
  • Bachelor’s degree and 2 – 4 years of Information Systems experience
  • 3+ years of experience in developing, implementing and supporting Data and Analytics Data Lake systems, analytics/reporting and metrics/visualization tools
  • Experience using Databricks platform developing integration pipelines, SFDC APIs, REST based web services, SQL, XML, and JavaScript
  • Extensive hands-on technical and engineering experience with building REACT based UI solutions
  • Experience working in BI environments like Tableau / Power-BI etc.
  • Experience developing in an enterprise environment with numerous applications, development teams, in an AGILE framework
  • Understand AWS services, Security frameworks and AI/LLM base models
  • Ability to handle multiple projects simultaneously and prioritize tasks effectively
  • Excellent problem-solving skills and a passion for tackling complex challenges
Job Responsibility
Job Responsibility
  • Function as a Digital Technology Data and Analytics Data Engineer within a Scaled Agile Framework (SAFe) product team
  • Ensure progress to business needs in a cost effective, compliant, reliable way
  • Use data, AI and metrics to understand trends in user behavior and product usage to influence strategy
  • Integrate data and develop integration queries, ETL pipelines in Databricks datalake environment.
  • Lead data analysis and insights user stories and utilize existing CI/CD delivery pipeline and processes - streamlining current processes with a focus on automation
  • Communicate software and system designs using Miro, Lucid Chart, or other modeling tools and software.
  • Develop Test classes and automation to validate business logic and avoid production issues
  • Work closely with other developers in PRODUCT SCRUM team including business analyst, software engineers, Validation analyst and Product Owner
  • Research AI/LLM based solutions and Drive Proof of Concepts to suit business requirements, Stay abreast of the latest trends in DevOps methodologies and emerging industry solutions
  • Participate and develop business prioritized Data and Analytics matrix and user stories using Databricks environment
Read More
Arrow Right
New

Sr associate IS Data Engineer

The Amgen India Digital Technology & Innovation (DTI) Sr. Associate IS Data Engi...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree and 1 years of Information Systems experience
  • Bachelor’s degree and 2 – 4 years of Information Systems experience
  • 3+ years of experience in developing, implementing and supporting Data and Analytics Data Lake systems, analytics/reporting and metrics/visualization tools
  • Experience using Databricks platform developing integration pipelines, SFDC APIs, REST based web services, SQL, XML, and JavaScript
  • Extensive hands-on technical and engineering experience with building REACT based UI solutions
  • Experience working in BI environments like Tableau / Power-BI etc.
  • Experience developing in an enterprise environment with numerous applications, development teams, in an AGILE framework
  • Understand AWS services, Security frameworks and AI/LLM base models
  • Ability to handle multiple projects simultaneously and prioritize tasks effectively
  • Excellent problem-solving skills and a passion for tackling complex challenges
Job Responsibility
Job Responsibility
  • Function as a Digital Technology Data and Analytics Data Engineer within a Scaled Agile Framework (SAFe) product team
  • Ensure progress to business needs in a cost effective, compliant, reliable way
  • Use data, AI and metrics to understand trends in user behavior and product usage to influence strategy
  • Integrate data and develop integration queries, ETL pipelines in Databricks datalake environment.
  • Lead data analysis and insights user stories and utilize existing CI/CD delivery pipeline and processes - streamlining current processes with a focus on automation
  • Communicate software and system designs using Miro, Lucid Chart, or other modeling tools and software.
  • Develop Test classes and automation to validate business logic and avoid production issues
  • Work closely with other developers in PRODUCT SCRUM team including business analyst, software engineers, Validation analyst and Product Owner
  • Research AI/LLM based solutions and Drive Proof of Concepts to suit business requirements, Stay abreast of the latest trends in DevOps methodologies and emerging industry solutions
  • Participate and develop business prioritized Data and Analytics matrix and user stories using Databricks environment
Read More
Arrow Right
New

Sr associate IS Data Engineer

The Amgen India Digital Technology & Innovation (DTI) Sr. Associate IS Data Engi...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree and 1 years of Information Systems experience
  • Bachelor’s degree and 2 – 4 years of Information Systems experience
  • 3+ years of experience in developing, implementing and supporting Data and Analytics Data Lake systems, analytics/reporting and metrics/visualization tools
  • Experience using Databricks platform developing integration pipelines, SFDC APIs, REST based web services, SQL, XML, and JavaScript
  • Extensive hands-on technical and engineering experience with building REACT based UI solutions
  • Experience working in BI environments like Tableau / Power-BI etc.
  • Experience developing in an enterprise environment with numerous applications, development teams, in an AGILE framework
  • Understand AWS services, Security frameworks and AI/LLM base models
  • Ability to handle multiple projects simultaneously and prioritize tasks effectively
  • Excellent problem-solving skills and a passion for tackling complex challenges
Job Responsibility
Job Responsibility
  • Function as a Digital Technology Data and Analytics Data Engineer within a Scaled Agile Framework (SAFe) product team
  • As member of Global Medical Data and Analytics Product team, ensure progress to business needs in a cost effective, compliant, reliable way
  • Use data, AI and metrics to understand trends in user behavior and product usage to influence strategy
  • Integrate data and develop integration queries, ETL pipelines in Databricks datalake environment.
  • Lead data analysis and insights user stories and utilize existing CI/CD delivery pipeline and processes - streamlining current processes with a focus on automation
  • Communicate software and system designs using Miro, Lucid Chart, or other modeling tools and software.
  • Develop Test classes and automation to validate business logic and avoid production issues
  • Work closely with other developers in PRODUCT SCRUM team including business analyst, software engineers, Validation analyst and Product Owner
  • Research AI/LLM based solutions and Drive Proof of Concepts to suit business requirements, Stay abreast of the latest trends in DevOps methodologies and emerging industry solutions
  • Participate and develop business prioritized Data and Analytics matrix and user stories using Databricks environment
Read More
Arrow Right