At a Glance
- Tasks: Design and develop cutting-edge AI applications while collaborating on transformative projects.
- Company: Join a dynamic team at a leading Cognitive Intelligence Solutions company.
- Benefits: Enjoy competitive salary, performance bonuses, flexible working, and professional development opportunities.
- Other info: Collaborative culture with clear career progression and mentorship from industry experts.
- Why this job: Make a real impact in AI innovation and gain hands-on experience across the solution lifecycle.
- Qualifications: Bachelor's degree in a technical field and some experience in AI/ML development.
The predicted salary is between 63000 - 77000 £ per year.
We are seeking a highly motivated Junior AI Solutions Consultant to join our dynamic Cognitive Intelligence Solutions Division. In this role, you'll design, develop, and deploy cutting‑edge AI 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.
- 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
- AI/ML Frameworks: Hands‑on experience with TensorFlow, PyTorch, scikit‑learn, or similar platforms.
- 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.
- 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
- Competitive salary: based on experience and qualifications.
- Performance‑based bonuses and career progression opportunities.
- Flexible Manchester hybrid/remote.
- Benefits in line with company policy.
Professional Development
- Structured mentorship program with AI Solutions Architects and Senior consultants.
- 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.
- Regular team events and professional networking opportunities.
Please Note: UK visa sponsorship is not available for this role; however, as a global team, we welcome interest from all locations with remote working opportunities.
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
- Step 1: Register Interest & Initial Screening
- 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)?
- Step 2: Formal Application Invitation
- Detailed application form.
- 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? “Click apply” to use the form available on our website to submit your LinkedIn Profile URL and GitHub. 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.
Junior AI Solutions Consultant in Manchester employer: Data Nucleus
As a Junior AI Solutions Consultant at our innovative Cognitive Intelligence Solutions Division, you'll thrive in a collaborative and dynamic work culture that prioritises creativity and experimentation. We offer competitive salaries, performance-based bonuses, and a structured mentorship programme to support your professional growth, alongside flexible working arrangements in Manchester. Join us to work on transformative AI projects that not only enhance your skills but also contribute to meaningful business solutions across diverse industries.
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