Lead MLOps Engineer Job at Randstad (London)

Senior Data & AI/ML Engineer - GCP Specialization Lead

We are on a bold mission to create the best software services offering in the wo...

Location

United States , Menlo Park

Salary:

Not provided

techjays

Expiration Date

Until further notice

Requirements

GCP Services: BigQuery, Dataflow, Pub/Sub, Vertex AI
ML Engineering: End-to-end ML pipelines using Vertex AI / Kubeflow
Programming: Python & SQL
MLOps: CI/CD for ML, Model deployment & monitoring
Infrastructure-as-Code: Terraform
Data Engineering: ETL/ELT, real-time & batch pipelines
AI/ML Tools: TensorFlow, scikit-learn, XGBoost
Min Experience: 10+ Years

Job Responsibility

Design and implement data architectures for real-time and batch pipelines, leveraging GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Cloud Storage
Lead the development of ML pipelines, from feature engineering to model training and deployment using Vertex AI, AI Platform, and Kubeflow Pipelines
Collaborate with data scientists to operationalize ML models and support MLOps practices using Cloud Functions, CI/CD, and Model Registry
Define and implement data governance, lineage, monitoring, and quality frameworks
Build and document GCP-native solutions and architectures that can be used for case studies and specialization submissions
Lead client-facing PoCs or MVPs to showcase AI/ML capabilities using GCP
Contribute to building repeatable solution accelerators in Data & AI/ML
Work with the leadership team to align with Google Cloud Partner Program metrics
Mentor engineers and data scientists toward achieving GCP certifications, especially in Data Engineering and Machine Learning
Organize and lead internal GCP AI/ML enablement sessions

What we offer

Best in class packages
Paid holidays and flexible paid time away
Casual dress code & flexible working environment
Medical Insurance covering self & family up to 4 lakhs per person

Lead Golang Software Engineer

We are Citi’s Application, Platform and Engineering team, a start-up with the ex...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Deep hands on knowledge of Kubernetes
Fluency in Golang
Experience designing control and sandboxing systems for AI experimentation
Experience maintaining and/or contributing to bug bounty and responsible disclosure programs
Understanding of language models and transformers
Rich understanding of vector stores and search algorithms
Large-scale ETL development
Direct engineering experience of high performance, large-scale ML systems
Hands on MLOps experience
Have experience supporting fast-paced startup engineering teams

Job Responsibility

Lead the 0-1 build of multiple AI products
Design and build high-quality, highly reliable products with user experience at the centre
Be responsible for engineering innovative, best in class AI platforms for the bank
Creating firsts in the Generative AI space for Citi
Continually iterate and scale Generative AI products
Mentor and nurture other engineers

What we offer

27 days annual leave (plus bank holidays)
Discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends

Fulltime

AIML Lead Engineer

We build breakthrough software products that power digital businesses. We are an...

Location

India , Bangalore

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

8+ years of total IT experience
at least 4+ years in AI/ML development
Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
Experience with NLP libraries such as spaCy, Hugging Face Transformers, etc.
Solid understanding of AI/ML algorithms, data preprocessing, and model evaluation techniques
Hands-on experience with Generative AI, LLMs, and Agentic AI
Working knowledge of MLOps tools and CI/CD pipelines for AI model deployment
Familiarity with computer vision frameworks (OpenCV, etc.)
Excellent problem-solving and communication skills
Ability to lead and mentor junior engineers

Job Responsibility

Lead the design and implementation of AI/ML models and solutions for complex business problems
Work on NLP, LLMs, and Generative AI to build intelligent systems and conversational agents
Develop and optimize models using Python, TensorFlow, PyTorch, and Scikit-Learn
Apply deep learning and transformer-based architectures (e.g., BERT, GPT, etc.) for NLP and vision tasks
Implement computer vision solutions using OpenCV and related tools
Collaborate with cross-functional teams to integrate AI models into production systems
Apply MLOps best practices and manage CI/CD pipelines for model deployment
Stay updated with the latest AI research, LLM, and Agentic AI trends, and drive innovation across teams

Fulltime

Lead Software Engineer

Prism Data is building the future of credit scoring with modern technology and d...

Location

United States , NYC or San Diego (La Jolla/UTC)

Salary:

160000.00 - 195000.00 USD / Year

Prism Data

Expiration Date

Until further notice

Requirements

Software engineering experience, ideally in a high-growth or early stage startup
Strong expertise in modern software practices and technologies, with ability to quickly adapt to Prism’s services stack
Deep hands-on experience with Python, Kubernetes, and AWS, with specific experience supporting machine-learning models from prototyping through production operations
Proactive bias-to-solve technical problems and navigate complex design decisions
Excellent communication skills with the ability to bridge gaps between technical teams and non-technical stakeholders

Job Responsibility

Contribute to Prism’s engineering culture by regularly mentoring other engineers and facilitating knowledge sharing, learning, and continuous improvement
Advance an architectural runway to support product extensibility and scalability while balancing sustainability
Architect and lead the enhancement of production ML-serving infrastructure, including continuous advancement of MLOps capabilities
Design, build, and operate enterprise-grade APIs and other platform services, and lead strategic co-development opportunities with key partners and data providers
Drive technical direction across platform and model-serving layers, ensuring observability, security, and performance at scale
Partner cross-functionally with product, legal, and go-to-market teams to cohesively develop new capabilities that expand cash flow analytics use cases

What we offer

medical
dental
vision
401(k)
equity-based compensation

Fulltime

Lead AI ML Engineer

We build breakthrough software products that power digital businesses. We are an...

Location

India , Noida

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

8+ years of total IT experience
At least 4+ years in AI/ML development
Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
Experience with NLP libraries such as spaCy, Hugging Face Transformers
Solid understanding of AI/ML algorithms, data preprocessing, and model evaluation techniques
Hands-on experience with Generative AI, LLMs, and Agentic AI
Working knowledge of MLOps tools and CI/CD pipelines for AI model deployment
Familiarity with computer vision frameworks (OpenCV)
Excellent problem-solving and communication skills
Ability to lead and mentor junior engineers

Job Responsibility

Lead the design and implementation of AI/ML models and solutions for complex business problems
Work on NLP, LLMs, and Generative AI to build intelligent systems and conversational agents
Develop and optimize models using Python, TensorFlow, PyTorch, and Scikit-Learn
Apply deep learning and transformer-based architectures (e.g., BERT, GPT) for NLP and vision tasks
Implement computer vision solutions using OpenCV and related tools
Collaborate with cross-functional teams to integrate AI models into production systems
Apply MLOps best practices and manage CI/CD pipelines for model deployment
Stay updated with the latest AI research, LLM, and Agentic AI trends, and drive innovation across teams

Fulltime

Senior/Architect Data Engineer

We are seeking a highly skilled and experienced Senior/Architect Data Engineer t...

Location

Poland , Warsaw; Poznań; Lublin; Katowice; Rzeszów

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven experience architecting solutions on the Databricks Lakehouse using Unity Catalog, Delta Lake, MLflow, Model Serving, Feature Store, AutoML, and Databricks Workflows
Expertise in real-time/low latency model serving architectures with auto-scaling, confidence-based routing, and A/B testing
Strong knowledge of cloud security and governance on Azure or AWS, including Azure AD/AWS IAM, encryption, audit trails, and compliance frameworks
Hands-on MLOps skills across experiment tracking, model registry/versioning, drift monitoring, automated retraining, and production rollout strategies
Proficiency in Python and Databricks native tooling, with practical integration of REST APIs/SDKs and Databricks SQL in analytics products
Familiarity with React dashboards and human-in-the-loop operational workflows for ML and data quality validation
Demonstrated ability to optimize performance, reliability, and cost for large-scale analytics/ML platforms with strong observability
Experience leading multi-phase implementations with clear success metrics, risk management, documentation, and training/change management
Domain knowledge in telemetry, time series, or industrial data (aerospace a plus) and prior work with agentic patterns on Mosaic AI
Databricks certifications and experience in enterprise deployments of the platform are preferred

Job Responsibility

Lead the design and implementation of a Databricks-centric multi-agent processing engine
Design governed data ingestion, storage, and real-time processing workflows using Delta Lake, Structured Streaming, and Databricks Workflows
Own the model lifecycle with MLflow, including experiment tracking, registry/versioning, A/B testing, drift monitoring, and automated retraining pipelines
Architect low latency model serving endpoints with auto-scaling and confidence-based routing for sub-second agent decisioning
Establish robust data governance practices with Unity Catalog, including access control, audit trails, data quality, and compliance
Drive performance and cost optimization strategies, including auto-scaling, spot usage, and observability dashboards
Define production release strategies (blue-green), monitoring and alerting mechanisms, operational runbooks, and Service Level Objectives (SLOs)
Partner with engineering, MLOps, and product teams to deliver human-in-the-loop workflows and dashboards
Lead change management, training, and knowledge transfer while managing a parallel shadow processing path
Plan and coordinate phased delivery, success metrics, and risk mitigation

What we offer

Flexible working hours
Hybrid work model
Cafeteria system
Generous referral bonuses (up to PLN6,000)
Additional revenue sharing opportunities
Ongoing guidance from dedicated Team Manager
Tailored technical mentoring from assigned technical leader
Dedicated team-building budget for online and on-site team events
Opportunities to participate in charitable initiatives and local sports programs
Supportive and inclusive work culture

Fulltime

Principal Machine Learning System Engineer

As a Principal Machine Learning Systems Engineer, you will lead the design, deve...

Location

United States , Seattle; San Francisco

Salary:

190300.00 - 305600.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Lead the design, development, and deployment of scalable machine learning (ML) systems and infrastructure
Collaborate closely with data scientists, software engineers, and product teams
Optimize model performance
Ensure system reliability
Implement efficient data pipelines
Drive architectural decisions for high-performance computing and cloud-based ML platforms
Mentor junior engineers
Promote best practices in ML operations (MLOps)
Stay updated on emerging technologies

Job Responsibility

Translate complex ML models into production-ready solutions
Ensure scalability and security
Deliver robust, scalable, and efficient machine learning solutions that support business growth and innovation

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Generative AI Tech Lead

Provectus is an AI-first consultancy that helps global enterprises adopt Machine...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in Machine Learning, Deep Learning, or NLP
2+ years in a technical leadership or team lead role
Strong expertise with LLMs (Hugging Face, OpenAI, Anthropic) and modern NLP stacks
Strong hands-on experience with AWS ML ecosystem (SageMaker, Bedrock, Lambda, S3, ECS/ECR)
Excellent Python engineering skills and proficiency with PyTorch or TensorFlow
Experience building ML systems in production, not just research
Solid knowledge of MLOps/LLMOps tools, pipelines, and deployment best practices
Strong architectural thinking and ability to design scalable ML systems
Excellent communication skills and ability to lead cross-functional teams
Passion for mentoring engineers and raising the technical bar

Job Responsibility

Lead, mentor, and grow a team of 5–10 ML, Data, and Software Engineers
Define and drive the technical roadmap for ML/AI initiatives
Foster a high-performance culture focused on ownership, learning, and engineering excellence
Work closely with Product, Data, and Platform teams to deliver end-to-end AI systems
Design, fine-tune, and deploy LLMs and ML models for real production use cases
Build systems for RAG, summarization, text generation, entity extraction, and other NLP/LLM workflows
Explore and implement emerging GenAI/LLM techniques and infrastructure
Contribute across the ML stack: NLP, deep learning, CV, RL, and classical ML
Architect and operate scalable ML/AI systems using AWS (SageMaker, Bedrock, Lambda, S3, ECS/ECR…)
Optimize model training, inference pipelines, and data workflows for scale, cost, and latency

What we offer

Sing-up bonus
10% Annual bonus
Comprehensive private medical insurance or budget for your medical needs
Paid sick leave, vacation, and public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Lead MLOps Engineer

Randstad

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 22, 2026

Expiration:
February 28, 2026

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

Similar Jobs for Lead MLOps Engineer