Mlops engineer Work, Jobs in London (with Salaries)

MLOps Engineer
Capgemini Sogeti —London
- System design
- AWS
- Machine learning
2h
MLOps Engineer
Capgemini —London
- System design
- AWS
- Machine learning
3h
MLOps Engineer
White Circle —London
- £100,000 - £200,000 a year
- Full-time
- Hybrid work
- APIs
- Relocation assistance
- Annual leave
14d
Data Engineer / MLOps Hybrid Role
Fable Data —London
- £45,000 - £55,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- Python
Quick apply
13d
Junior AI Engineer
Capgemini —London
- Azure
- AWS
- APIs
7d
Data Engineer I - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Azure
- Computer Science
- Engineering
CCA - AI Engineer
Capgemini —London
- Hybrid work
- Master's degree
- AWS
- APIs
14d
ML Engineer
The Football Association —Wembley Stadium
- Full-time
- Hybrid work
- Azure
- English
- Machine learning
- Annual leave
10d
AI Engineer
The AA —London
- Full-time
- Hybrid work
- Machine learning
- AI
- Communication skills
- Annual leave
- Employee assistance programme
3d
AI Engineer
Capgemini —London
- Hybrid work
- Master's degree
- AWS
- APIs
14d
Junior AI Engineer
Capgemini Sogeti —London
- Azure
- AWS
- APIs
7d
AI/ML Engineer
DLA Piper —London
- Azure
- Computer Science
- Master's degree
Research Engineer in Reinforcement Learning
InstaDeep —London
- £70,000 - £90,000 a year
- Hybrid work
- Software development
- APIs
- AI
- Gym membership
Quick apply
AI Engineer
RedCloud —London
- Hybrid work
- SQL
- Machine learning
- Software development
- Annual leave
- Employee discount
AI Engineer
ClearRoute —London
- Hybrid work
- Azure
- AWS
- APIs
AI Engineer (LLMs, Agents & Applied Data Science)
Talan —London
- Full-time
- Hybrid work
- Azure
- Machine learning
- Travel
- Employee assistance programme
Quick apply
Software Engineer - AI Platform & Agents
Moody's —London
- Azure
- Computer Science
- Java
12d
AI Engineer
JCDecaux —London
- Full-time
- Azure
- Computer Science
- DevOps
AI Engineer – Agentic AI (Training & Enablement)
Kubrick Group —London
- £90,000 - £130,000 a year
- Azure
- DevOps
- SQL
AI Engineer
VEED.IO —London
- £76,000 - £119,400 a year
- DevOps
- APIs
- School
- Annual leave

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MLOps Engineer

Capgemini Sogeti -
London

Apply Now

Job details

Permanent
2 hours ago

Qualifications

TensorFlow
PyTorch
Software deployment
System design
AWS
Machine learning
SDKs
AI
Python

Full job description

About the job you’re considering

In Digital Customer Experience we specialize in navigating our clients through the complexities of large-scale, technology-driven transformation programs, using our skills to drive outstanding delivery. Having the right people using the right methodology and following the right process gives every client the right result.

The Platform Engineering capability within Digital is a growing team of people dedicated to ensuring that the technologies selected and the way that they are implemented meet the business objectives of our clients. There are several disciplines within the Digital Customer Experience team: delivery, business, integration and digital architects and technical managers, and many of our people can perform in more than one of these roles.

Your role

Model Development: Design, train, and optimise machine learning models focused on

User personalisation, encompassing recommendation engines, ranking algorithms,user segmentation, and content analysis.
Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Also evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.

You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone

Your skills and experience

Demonstrated expertise in the full lifecycle of machine learning, from modeldevelopment, deployment and serving to monitoring and maintenance.
Proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch).
Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).
Experience with high-volume data processing and real-time streaming architectures.
Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings

We are a Disability Confident Employee

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme.
As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

Declare they have a disability, and Meet the minimum essential criteria for the role.

Please opt in during the application process

Your security clearance

To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.

To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.

Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

Make it real – what does it mean for you?

We realise a Total Reward package should be more than just compensation. At Capgemini we offer range of core and flexible benefits and have a Peer Recognition Portal called Applaud.

You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.

You’ll be bringing your unique skills and perspectives to the team, inspiring and taking inspiration from your teammates as you unlock value in everything you do. You’ll be joining a professional community of experts, who have got your back and will support you, every step of the way.

Why you should consider Capgemini

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com

Apply Now

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mlops engineer jobs in london

MLOps Engineer

MLOps Engineer

MLOps Engineer

Data Engineer / MLOps Hybrid Role

Junior AI Engineer

Data Engineer I - QuantumBlack, AI by McKinsey

CCA - AI Engineer

ML Engineer

AI Engineer

AI Engineer

Junior AI Engineer

AI/ML Engineer

Research Engineer in Reinforcement Learning

AI Engineer

AI Engineer

AI Engineer (LLMs, Agents & Applied Data Science)

Software Engineer - AI Platform & Agents

AI Engineer

AI Engineer – Agentic AI (Training & Enablement)

AI Engineer

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About the job you’re considering

Your role

Your skills and experience

We are a Disability Confident Employee

Your security clearance

Make it real – what does it mean for you?

Why you should consider Capgemini

About Capgemini

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