Ai/ml engineer Work, Jobs in Edgbaston, Wmd (with Salaries)

Junior Business Analyst
Capgemini —Birmingham
- Hybrid work
- Master's degree
- Machine learning
- AI
Senior Automation Tester (Python) – Agentic AI & LLM Systems (Hybrid)
Resillion —Birmingham
- Remote
- Master's degree
- AI
Quick apply
Principal Software Engineer Backend Technologies, Platform (UK Remote)
Turnitin, LLC —Birmingham
- Full-time
- Remote
- Mentoring
- AI
- Annual leave
Quick apply
Lead AI Engineer
Capgemini —Birmingham
- Hybrid work
- Master's degree
- Business development
- Machine learning
Business Analyst
Capgemini —Birmingham
- Hybrid work
- Master's degree
- Machine learning
- AI
Data Engineer
Capgemini —Birmingham
- Hybrid work
- Azure
- Analysis skills
- Machine learning
Principal Microsoft Fabric Architect and Technical Lead
Methods Business and Digital Technology —Birmingham
- Full-time
- Hybrid work
- Azure
- Travel
- Mentoring
- Annual leave
- Employee assistance programme
Quick apply
Lead Data Engineer
National Grid —Warwick
- Hybrid work
- Life insurance
3d
Lead Backend Engineer
ASSA ABLOY —Solihull
- Full-time
- Computer Science
- Engineering
- Master's degree
- Flexible schedule
Go-to-Market - Birmingham, United Kingdom
Speechify —Birmingham
- Remote
- Machine learning
- APIs
- AI
1d
Head of Finance
Behavox —Birmingham
- Remote
- AI
- Leadership
Quick apply
5d

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ai/ml engineer jobs near edgbaston, wmd

Junior Business Analyst

Capgemini -
Birmingham

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Job details

Permanent

Qualifications

Jira
Law
Stakeholder collaboration
Requirement elicitation
Stakeholder liaison
Business analysis
Master's degree
Machine learning
Data management
Confluence
Scrum
Multidisciplinary collaboration
Business requirements
AI
Leadership
Communication skills

Full job description

Who You Will Be Working With

You will join the Data Trust Capability in Capgemini’s Insights and Data (I&D) business unit. Insights and Data is a global business unit covering Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics.

Our team is one of the largest and most successful Data Management teams in the UK delivering innovative Data Management and Governance thought leadership to our clients.

The Enterprise Data Management provides services on Information Strategy, Data Governance, Master Data Management, Data Architecture, Data Migration and Lifecycle Management.

We help our clients build an enterprise-class data platform that allows them to move ahead in their journey of data and insights. Primarily working with leading software vendors like SAP, Informatica, IBM, Oracle et al, the team are first and foremost Consultants, putting client requirements and industry best practices at the heart of delivery.

PLEASE NOTE:

Security Clearence: To be successfully appointed to this role, must be eligible 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.

The Focus Of Your Role

We are seeking delivery-focused individual with client-facing experience to drive business analysis for our client businesses. You will often support the relevant Business Owners, Data Stewards and other technical forum members, as required, by providing Data Management expertise.

The Business Analyst will be responsible for shaping business processes and requirements, assisting solution design, and contribute to delivery of enterprise scale data management, compliance, risk, and security solutions. This role ensures our clients maximise the value of their data estate while maintaining compliance with regulatory and internal requirements.

Key responsibilities include:

Work closely with Business and Technology teams across clients to define, analyse and implement changes.
Lead business analysis activities including process definition, requirement elicitation documentation and validation.
Shape and articulate clear business, functional, and non-functional requirements.
Produce high-quality documentation, results and findings.
Liaise with different levels of the hierarchy, especially with Development Leads, Quantitative Analytics teams and Risk Managers
Work with data owners, stewards and architects to identify required data sources, understand data lineage and constraints
Ensure requirements include data quality, metadata and governance needs (e.g. definitions, business rules, reference data, retention)
Contribute to and consume business glossaries, ontologies and data catalogues to ensure consistent terminology and understanding
Translate business needs into requirements for AI/analytics solutions (e.g. decision support, predictions, recommendations, GenAI copilots).
Work with data scientists / engineers / AI teams to define test scenarios and acceptance criteria that reflect business reality (e.g. edge cases, thresholds for “good enough” accuracy).
Follow best practices, as defined by the team standards; ensuring that documentation is complete, comprehensive and signed off
Assist with the prioritisation and planning of key deliverables
Work in an agile manner whilst still understanding the needs of planning and forecasting the overall delivery
Demonstrate strong stakeholder Management, leadership and Problem-Solving skills.

You may also offer insights to the wider community through blogs, articles and social media.

At Capgemini, we believe in bringing your whole self to work. Equity, diversity, and inclusion are woven into our everyday culture, creating a welcoming and supportive environment for everyone.

What You Will Bring

As a Business Analyst, you will have 3-6+ years in business analyst roles across data, security, AI, compliance, or cloud platforms, with proven experience delivering enterprise scale solutions. You’ll have a strong background in data management and data security/governance programmes.

Experience & Core Capabilities:

Ability to delve deep into a topic/requirement, analyse the impact and provide solutions.
Ability to assimilate information quickly and provide recommendation to support informed decision-making.
Ability to use own initiative to resolve issues/ investigate and find solutions.
Excellent verbal, written and presentation communication skills.
Experience in working with cross-region teams and projects.
Experience in delivering projects using an Agile methodology.
Strong understanding of data concepts: data quality, master/reference data, metadata, lineage, governance.
Ability to interpret outputs from analytics, dashboards and models, and challenge them from a business perspective.

“Must-have” BA skills:

Requirements elicitation for functional and non-functional requirements
Business Process analysis, modelling and mapping
Strong stakeholder management
Experience with Waterfall, Agile, Scrum methodologies
Communication & consulting skills
Experience in data-driven project
Cross-industry functional knowledge
Full delivery lifecycle experience: elicitation, design, build, testing, business change, operational support
Familiarity with AI and machine learning concepts (e.g. supervised vs unsupervised learning, prediction vs classification, model drift, basic evaluation metrics).
Comfortable working with requirements / modelling tools (BPMN, UML, user story tools, backlog management)
Experience eliciting and documenting data privacy, security and regulatory requirements

“Good-to-have” skills:

BA/SCRUM/PM qualifications
Master Data Management, data governance, data modelling exposure
Tools: JIRA, Confluence, etc.
Experience working on projects that use AI, ML or advanced analytics – ideally from discovery through to adoption.
Experience collaborating around BI/analytics tools (Power BI, Tableau, etc.)
Exposure to AI platforms (e.g. Azure OpenAI / other LLM services, data science environments, MLOps platforms) – as a partner/user rather than a builder

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 edgbaston, wmd

Junior Business Analyst

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

Principal Software Engineer Backend Technologies, Platform (UK Remote)

Lead AI Engineer

Business Analyst

Data Engineer

Principal Microsoft Fabric Architect and Technical Lead

Lead Data Engineer

Lead Backend Engineer

Go-to-Market - Birmingham, United Kingdom

Head of Finance

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