Ml ops engineer Work, Jobs (with Salaries)

Lead Software Engineer - Al Product development
Clarivate —London
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Associate Director, AI/ML Engineering, Medical Imaging
Perceptive —Remote
- Full-time
- Remote
- Azure
- Doctoral degree
- English
Data Engineer
Smarkets —London
- Full-time
- Hybrid work
- Computer Science
- AWS
- C++
- Annual leave
Software Engineer - Core Technology
AI Security Institute —London
- £61,620 - £74,605 a year
- Hybrid work
- Azure
- DevOps
- Laboratory experience
- Annual leave
2d
Lead Data Scientist
Hiscox —London
- Full-time
- Management
- Master's degree
- SQL
Senior Software Engineer
Visa Europe Limited —Reading
- Doctoral degree
- Computer Science
- DevOps
Machine Learning Engineering Manager - Supply
Trainline —London
- Full-time
- Hybrid work
- Computer Science
- DevOps
- AWS
Engineering Manager, Risk
Airwallex —London
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Data analysis skills
Data Architect
FalconSmartIT —London
- Azure
- Master's degree
- AWS
Quick apply
Software Engineer - ML Kernels & Runtime
Graphcore —Bristol
- C++
- Scripting
- Linux
- Annual leave
- Employee assistance programme
Forward Deployed Engineer (EU/UK Based - Remote)
Duvo Inc —London
- Full-time
- Remote
- System design
- English
- SQL
VP of AI
Tripledot Studios —London
- Hybrid work
- AWS
- In-person
- AI
- Annual leave
- Work from home
Go-To-Market (GTM) Engineer, UK
Grip —London
- Full-time
- Hybrid work
- Salesforce
- Administrative experience
- APIs
- Life insurance
Quick apply
Staff Machine Learning Platform/Ops Engineer
Preply —London
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- AI
Quick apply
Founding Head of Talent
Searchable —London
- £120,000 a year
- Full-time
- Bar
- AI
- Annual leave
Quick apply
Product Owner
Beazley Management Limited —Birmingham
- Computer Science
- Data analysis skills
- Machine learning
- Annual leave
Senior Machine Learning Engineer
Utility Warehouse —London
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- Communication skills
- Employee discount
- Gym membership
Quick apply
Applied Scientist Lead - Computer Vision
Entrust —London
- Full-time
- Hybrid work
- Management
- AWS
- Machine learning
Senior Applied AI Engineer
Lawhive —London
- £90,000 - £140,000 a year
- Full-time
- Hybrid work
- Master's degree
- AWS
- APIs
- Annual leave
Senior Python Engineer
Lawhive —London
- £90,000 - £140,000 a year
- Full-time
- Hybrid work
- Master's degree
- AWS
- APIs
- Annual leave

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Lead Software Engineer - Al Product development

Clarivate -
London

Apply Now

Job details

Full-time

Qualifications

Azure
Cloud architecture
Law
Computer Science
Engineering
Java
Master's degree
AWS
Bachelor's degree
Back-end development
Mentoring
APIs
Agile
IT
AI
TypeScript
Python

Full job description

We are looking for a Lead Software Engineer - Al Product development to join our AI Engineering team in Barcelona. This is an exciting opportunity to work on cutting-edge AI-powered software, building reliable, scalable solutions that leverage Python, cloud technologies (Azure/AWS), microservices, and LLM-based applications.

You will be joining a small, highly skilled engineering team, reporting to the Engineering Manager. We have deep expertise in backend development, AI/ML, cloud services, and data engineering, and we would love to speak with you if you have strong skills in Python backend engineering, cloud ecosystems, and AI-driven solution development.

About You – experience, education, skills, and accomplishments

Bachelor’s degree in computer science, Software Engineering, or a related field, or equivalent experience.
At least 7 years of professional software engineering experience, including at least 4 years developing backend systems in Python (APIs, microservices, ETL pipelines).
At least 5 years of experience working in cross-functional, agile teams, collaborating with Product, Cloud Ops, Architecture, Engineering, and SMEs.
At least 3 years of experience working with LLMs or agentic AI applications, with demonstrable understanding of their reliability challenges.

It would be great if you also have . . .

Experience contributing to or defining software architecture for complex systems.
Experience with AI/ML workflows, such as RAG, vector databases, or evaluation techniques.
Experience mentoring or providing technical guidance to other engineers.
Experience working in cloud environments (Azure or AWS), including deploying or integrating backend services.

What will you be doing in this role?

Scoping and shaping AI platform initiatives for LS&H products, from early concepts through implementation, actively influencing technical direction and strategic decisions such as building in-house capabilities, leveraging cloud-native AI services, or adopting open-source and LLM-driven technologies.
Designing, developing, and maintaining backend services, including APIs, microservices, and ETL pipelines running in Azure or AWS.
Translating ideas, requirements, and problem statements from multiple teams into high-quality, reliable code and working proof-of-concepts.
Collaborating closely with Cloud Operations, Solution Architecture, Product Engineering, Product Management, and SMEs to understand needs and deliver technical solutions.
Building and iterating LLM-based or agentic AI applications, ensuring reliability, quality, and awareness of AI limitations.
Evaluating and integrating with applications written in other languages (e.g., Java, Typescript) when needed.
Leading the technical approach on assigned work by taking initiative and ownership from design through implementation.
Testing, validating, and continuously improving solutions through unit tests, automation, and iterative development.
Progressing projects from initial concept to prototype and contributing to the technical plans needed to move them toward production.
Working in an agile, fast-paced environment, adapting priorities based on business needs and contributing to a culture of continuous improvement.

About the Team

Our team is part of the LS&H Innovation group, focused on developing AI-driven capabilities across the organization. The immediate team consists of the Engineering Manager and three Lead Software Engineers. We also work closely with Solutions Architects, who play a key role in shaping technical direction and supporting platform development.

We operate within a broader AI Innovation ecosystem that includes multiple software engineering teams and a dedicated Product Management function. Collaboration across these groups is central to how we explore opportunities, build innovative solutions, and accelerate AI adoption across the organization.

Hours of Work

This is a full-time position, primarily working core business hours in CET time zone, with flexibility to adjust to various global time zones as needed.

This is a hybrid position working in the office 2-3 days a week.

At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Apply Now

Refine Your Search

ml ops engineer jobs

Lead Software Engineer - Al Product development

Associate Director, AI/ML Engineering, Medical Imaging

Data Engineer

Software Engineer - Core Technology

Lead Data Scientist

Senior Software Engineer

Machine Learning Engineering Manager - Supply

Engineering Manager, Risk

Data Architect

Software Engineer - ML Kernels & Runtime

Forward Deployed Engineer (EU/UK Based - Remote)

VP of AI

Go-To-Market (GTM) Engineer, UK

Staff Machine Learning Platform/Ops Engineer

Founding Head of Talent

Product Owner

Senior Machine Learning Engineer

Applied Scientist Lead - Computer Vision

Senior Applied AI Engineer

Senior Python Engineer

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