Junior AI Solutions Consultant

Born in Manchester’s vibrant heart, Data Nucleus ignites global AI innovation; uniting AI Solutions Architects, Electrical Engineers, Mathematicians, Physicists, Public Policy Advisors, Accountants, Program Managers, and Environmentalists in a dynamic team. With bold energy, we blend diverse expertise to conquer real-world challenges and make AI a force for good. Join us—embrace adventure, ignite innovation, and shape tomorrow’s solutions!

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About This Role

Hybrid/Remote - Immediate Start - Fulltime

We are seeking a highly motivated Junior AI Solutions Consultant to join our dynamic Cognitive Intelligence Division. In this role, you'll design, develop, and deploy cutting-edge AI-powered applications from front-end interfaces to back-end systems. You'll work on transformative projects that bridge the gap between AI innovation and real-world business solutions, gaining comprehensive experience in machine learning, full-stack development, and client consulting.

This is an exceptional opportunity for an emerging professional to build expertise across the entire AI solution lifecycle while contributing to high-impact projects that drive measurable business value for our clients.

Key Responsibilities

AI/ML Development & Implementation

  • Design, train, and optimise machine learning and deep learning models for diverse business use cases across industries

  • Implement specialised AI solutions including NLP, computer vision, recommendation systems, and predictive analytics

  • Integrate pre-trained models from leading platforms (OpenAI, Hugging Face, TensorFlow, PyTorch) into production workflows

  • Ensure reproducibility and scalability through MLOps best practices including MLflow, Docker, CI/CD pipelines, and monitoring systems

Backend Development & Infrastructure

  • Build and maintain robust, scalable APIs (REST/GraphQL/FastAPI) to serve AI models and business logic

  • Develop comprehensive data pipelines for ingestion, transformation, and feature engineering

  • Manage both relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis)

  • Implement secure authentication, authorisation, and role-based access controls

  • Optimise system performance while ensuring security compliance and best practices

Frontend Development & User Experience

  • Create intuitive, user-friendly web and mobile interfaces for AI solutions

  • Develop interactive dashboards, data visualisations, and responsive components using modern frameworks (React, Angular, Vue)

  • Ensure accessibility, responsive design, and seamless user experience aligned with client requirements

  • Integrate front-end applications with AI APIs and backend services for optimal performance

End-to-End Solution Delivery & Client Collaboration

  • Collaborate closely with AI Solutions Architects, data scientists, product managers, and business stakeholders to understand and translate requirements

  • Transform prototypes and proof-of-concepts into production-ready, full-stack solutions

  • Conduct comprehensive testing (unit, integration, end-to-end) to ensure reliability and performance

  • Deploy applications on cloud and on-premises infrastructure (AWS, Azure, GCP, Kubernetes)

  • Monitor usage patterns, capture user feedback, and implement iterative improvements for continuous enhancement

Required Qualifications

Education & Experience

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field

  • 0-2 years of experience in AI/ML development, software engineering, or related roles

  • Demonstrated experience with personal projects, internships, or academic work involving AI/ML applications

Technical Skills

  • Programming Languages: Proficiency in Python, JavaScript, and SQL; familiarity with R, Java, or C++

  • AI/ML Frameworks: Hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar platforms

  • Frontend Technologies: Experience with React, Angular, or Vue.js; proficiency in HTML, CSS, and modern JavaScript

  • Backend Development: Knowledge of API development using FastAPI, Flask, Django, or Node.js

  • Database Management: Experience with both SQL and NoSQL databases

  • Cloud Platforms: Basic familiarity with AWS, Azure, or Google Cloud Platform services

  • Development Tools: Proficiency with Git, Docker, and basic DevOps practices

Core Competencies

  • Strong analytical and problem-solving skills with attention to detail

  • Excellent communication skills with ability to explain complex technical concepts to non-technical stakeholders

  • Collaborative mindset with experience working in cross-functional teams

  • Adaptability and eagerness to learn emerging AI technologies and methodologies

  • Project management skills with ability to prioritise tasks and meet deadlines

Preferred Qualifications

  • Experience with MLOps tools and practices (MLflow, Kubeflow, Airflow)

  • Knowledge of data visualisation tools (Tableau, Power BI, D3.js)

  • Understanding of AI ethics and responsible AI development principles

  • Understanding agile development methodologies

  • Contributions to open-source AI/ML projects or research publications

  • Industry certifications in cloud platforms (AWS, Azure, GCP) or AI/ML specialisations preferred

What We Offer

Compensation & Benefits

  • Competitive salary: based on experience and qualifications

  • Performance-based bonuses and career progression opportunities

  • Flexible Manchester hybrid/remote

  • Benefits in line with company policy (please see our careers page)

Professional Development

  • Structured mentorship program with AI Solutions Architects, Senior consultants and engineers

  • Annual learning and development budget for courses and certifications

  • Access to cutting-edge AI tools and technologies

  • Clear career progression pathway with opportunities for specialisation

  • Regular training sessions and internal knowledge-sharing workshops

Work Culture

  • Collaborative, innovation-focused culture that encourages creativity and experimentation

  • Opportunity to work on diverse, high-impact projects across multiple industries

  • Flexible working hours with 2 hours core collaboration time

  • Modern office facilities with latest technology and equipment

  • Regular team events and professional networking opportunities

  • Further details can be found on our careers page.

Growth Opportunities

As a Junior AI Solutions Consultant, you'll have a clear pathway for career advancement:

  • Year 1-2: Master core AI/ML development and client interaction skills

  • Year 2-3: Lead small projects and specialise in specific AI domains

  • Year 3+: Progress to Senior AI Solutions Consultant with increasing client responsibility and technical leadership

Please Note: UK visa sponsorship is not available for this role; however, as a global team, we welcome interest from all locations.

Equal Opportunity Employer: We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Application Process

We've designed a simple, efficient hiring process to respect your time while ensuring the best fit:

Step 1: Initial Screening

Submit your profiles for quick review using the form below:

  • LinkedIn Profile (required) - Share your LinkedIn URL so we can understand your background and experience

  • GitHub Profile (optional but recommended) - Show us your coding projects, contributions, and technical approach

  • What interests you about being an AI Solutions Consultant (100 words)?

Timeline: 3-5 business days for initial screening

Step 2: Formal Application Invitation

Selected candidates will receive an invitation to complete their full application through our dedicated portal, including:

  • Detailed application form

  • Brief cover letter explaining your interest in AI consulting

  • Any additional portfolio materials or project examples

Step 3: Interview Process

  • Technical Assessment (take-home project, 2-4 hours) - Practical AI/ML problem-solving

  • Technical Interview (60 minutes) - Code review and technical discussion with our AI Solutions Architect

  • Final Interview (45 minutes) - Team fit and role alignment

Ready to Get Started?

Use the form below to submit your LinkedIn Profile URL and GitHub (if available).

Selected applicants will receive an invitation to complete their full application through our dedicated portal within 3-5 business days.

Please note that your data will be protected under the GDPR/UK GDPR (2018).

Questions about the role? Please feel free to reach out to us at: careers@datanucleus.co.uk

Please Note: We do not accept interest or job applications via our email.

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Junior AI Solutions Consultant - Get Started