ai/ml engineer Work, Jobs in solihull, wmd (with Salaries)

AI Data Engineer
Capgemini —Birmingham
- Hybrid work
- SQL
- AWS
- AI
Databricks Data Engineer
Capgemini —Birmingham
- Hybrid work
- Azure
- SQL
- AWS
Data Engineer
Capgemini —Birmingham
- Hybrid work
- Azure
- Java
- AWS
DataOps Engineer
Capgemini —Birmingham
- Hybrid work
- Azure
- DevOps
- AWS
AWS Data Solution Architect
Capgemini —Birmingham
- Hybrid work
- Azure
- AWS
- Analysis skills
Databricks Data Solution Architect
Capgemini —Birmingham
- Hybrid work
- Azure
- AWS
- Analysis skills
Azure Data Solution Architect
Capgemini —Birmingham
- Hybrid work
- Azure
- AWS
- Analysis skills
Data Engineer - Azure, Databricks, ML/AI
Pinewood.AI —Birmingham
- Full-time
- Hybrid work
- Azure
- Bachelor's degree
- Machine learning
- Annual leave
- Employee assistance programme
Quick apply
Azure Fabric Architect
Capgemini —Birmingham
- Hybrid work
- Azure
- SQL
- AWS
Advanced Research Engineer (AI & Perception Engineer)
The Manufacturing Technology Centre —Coventry
- £43,000 - £50,000 a year
- Full-time
- C++
- Maths
- AI
Quick apply
12d
Asset & Wealth Management - Software Engineer, AI Platform and Services - Associate - Birmingham
Goldman Sachs —Birmingham
- Full-time
- Doctoral degree
- Java
- Master's degree
- Employee assistance programme
13d
Machine Learning Engineer - Apprentice
Government Commercial Agency —Birmingham
- £29,795 - £33,073 a year
- Full-time
- Presentation skills
- Machine learning
- AI
- Annual leave
- Work from home
2d
KTP Associate (Embedded Systems Engineer) (111618-0526)
University of Warwick —University of Warwick
- £35,608 - £42,254 a year
- Doctoral degree
- Master's degree
- Project management
Senior Manager - AI & Automation
Tarmac —Solihull
- Full-time
- Computer Science
- AI
- Employee discount
Quick apply
Advanced Research Engineer
The Manufacturing Technology Centre —Coventry
- £42,000 - £48,000 a year
- Full-time
- Azure
- AWS
- Analysis skills
Quick apply
5h
Product Owner
Beazley Management Limited —Birmingham
- Computer Science
- Data analysis skills
- Machine learning
- Annual leave
Senior Manager - Principal AI Engineer
KPMG —Birmingham
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Data Scientist
Fletchers Solicitors —Birmingham
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- English
- Sick pay
Quick apply
Senior Automation Tester (Python) – Agentic AI & LLM Systems (Hybrid)
Resillion —Birmingham
- Remote
- Azure
- Master's degree
- AI
Quick apply
Data Solution Architect
Halfords —Redditch
- Full-time
- Hybrid work
- Azure
- APIs
- Annual leave
- Employee discount

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AI Data Engineer

Capgemini -
Birmingham

Apply Now

Job details

Permanent

Qualifications

Performance tuning
Data modelling
Git
SQL
AWS
Unit testing
AI
Python

Full job description

Who You'll Be Working With

As an AI Data Engineer at Capgemini, you will design, build and operate reliable, scalable data pipelines and data products that enable analytics, AI and GenAI. You will work hands-on with modern data engineering tools and cloud services to ingest, transform and serve trusted datasets, using AI-assisted engineering to accelerate delivery, improve quality and automate routine tasks—while applying sound judgement and secure engineering practices.

You will be part of the Data Platforms team that is part of the Insights and Data Global Practice that has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers’ digital and data transformation journey using modern cloud platforms. We specialise in using the latest frameworks, reference architectures and technologies across a range of cloud and data platforms.

PLEASE NOTE:

Security Clearance: To be successfully appointed to this role, you must be eligible to obtain UK 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.

The Focus of Your Role

As an AI Data Engineer, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will use distributed data processing and cloud services to develop and optimise batch and streaming pipelines, implement modern lakehouse/warehouse patterns, and deliver well-governed datasets that power reporting, analytics and AI/ML use cases.

You will also use AI tooling (for example, coding assistants and automated analysis) to speed up development, strengthen testing and documentation, and improve operational excellence—within agreed security and compliance boundaries.

Build and maintain data pipelines and data products: Use appropriate ETL/ELT and distributed processing approaches to ingest, transform and curate data in cloud-based storage and analytics platforms.
Implement data modelling, quality and governance: Develop scalable data models, apply validation/quality checks, and use AI-assisted techniques to propose test cases, validation rules and anomaly explanations (with human review) to ensure reliable and auditable data products.
Enable AI/ML and analytics use cases: Prepare curated datasets and features, collaborate with data scientists, and integrate pipelines with ML workflows where required, using AI assistance to speed up dataset understanding and documentation.
Monitor and optimise workloads: Improve performance, reliability and cost efficiency, and implement observability (logging, alerting, SLAs) for production data pipelines—using AI-assisted troubleshooting to speed up triage while maintaining clear operational ownership.
Collaborate across teams: Work with business analysts, platform engineers, data scientists and DevOps to deliver secure, well-tested data solutions in an agile environment, clearly communicating design decisions and AI-assisted outputs in an auditable way.
Apply engineering best practices: Use version control, code review, automated testing and CI/CD; use AI tools to accelerate refactoring, test generation and documentation, following safe prompt practices and ensuring no sensitive data is exposed.
Be a data engineering advocate: Share knowledge, contribute to accelerators and standards (including AI-enabled engineering patterns), and pursue relevant learning and certification pathways.

What You Will Bring and Your Experience

You will bring strong, hands-on experience delivering modern data engineering solutions within complex environments, with an understanding of regulatory obligations and the need for trusted, mission critical data. You will be able to build secure, scalable and well governed pipelines and lakehouse data products that support analytics, AI and GenAI while meeting requirements for data protection, sovereignty, transparency and auditability.

You will also be confident using AI assistants responsibly to accelerate delivery (e.g., code scaffolding, test generation, documentation and troubleshooting), with clear human ownership of outcomes and adherence to security and compliance constraints. You will be comfortable collaborating with stakeholders to translate outcomes into robust data solutions, and you will bring strong engineering discipline, documentation and teamwork skills to help teams deliver sustainable data capabilities.

Experience:

Minimum 5+ years of experience as a Data Engineer, including hands-on delivery of data pipelines and data platforms in production environments.
Strong expertise in distributed data processing and modern data platform patterns (lakehouse/warehouse), with good understanding of data modelling, performance tuning and reliability.
Experience with cloud services for data (storage, compute and orchestration) and with workflow/orchestration tooling (e.g., managed schedulers, data integration services, or similar).
Proficiency in Python and SQL, with strong software engineering practices (Git, code review, unit testing, CI/CD) and an ability to troubleshoot production issues—using AI tooling appropriately to speed up analysis and remediation.
Practical experience using AI assistants in an engineering workflow (e.g., generating code snippets/tests, improving documentation, log analysis), with good prompt hygiene and an understanding of data confidentiality and secure use of AI tools.
A continuous learning mindset, including keeping up to date with modern data engineering practices and responsible AI-assisted development.
Relevant certifications (desirable): cloud platform and/or data engineering certifications.

Additional Information

Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)

What we’ll offer you

You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

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 Manage Mentor, Cybersecurity qualifications and much more.

Why we’re different

At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that’s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.

Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.

Apply Now

Refine Your Search

ai/ml engineer jobs in solihull, wmd

AI Data Engineer

Databricks Data Engineer

Data Engineer

DataOps Engineer

AWS Data Solution Architect

Databricks Data Solution Architect

Azure Data Solution Architect

Data Engineer - Azure, Databricks, ML/AI

Azure Fabric Architect

Advanced Research Engineer (AI & Perception Engineer)

Asset & Wealth Management - Software Engineer, AI Platform and Services - Associate - Birmingham

Machine Learning Engineer - Apprentice

KTP Associate (Embedded Systems Engineer) (111618-0526)

Senior Manager - AI & Automation

Advanced Research Engineer

Product Owner

Senior Manager - Principal AI Engineer

Data Scientist

Senior Automation Tester (Python) – Agentic AI & LLM Systems (Hybrid)

Data Solution Architect

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