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For Companies At a Glance
- Tasks: Design and develop AI applications, from front-end to back-end systems.
- Company: Join a forward-thinking tech company focused on cognitive intelligence solutions.
- Benefits: Competitive salary, performance bonuses, flexible working, and professional development opportunities.
- Why this job: Dive into the exciting world of AI and make a real impact on innovative projects.
- Qualifications: Bachelor's degree in relevant field and some experience in AI/ML development.
- Other info: Collaborative culture with mentorship and clear career progression.
The predicted salary is between 30000 - 42000 ÂŁ 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 (please see our careers page)
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
Further details can be found on our careers page.
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 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
We\’ve designed a simple, efficient hiring process to respect your time while ensuring the best fit:
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)?
Timeline: 3‑5 business days for initial screening
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.
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Junior AI Solutions Consultant employer: Data Nucleus
Contact Detail:
Data Nucleus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior AI Solutions Consultant
✨Tip Number 1
Get your LinkedIn profile sorted! Make sure it’s up-to-date and showcases your skills in AI/ML. Connect with professionals in the field and engage with their content to get noticed.
✨Tip Number 2
Don’t just apply for jobs; network like a pro! Attend industry meetups, webinars, or online forums. It’s a great way to meet potential employers and learn about job openings before they’re advertised.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges and be ready to discuss your projects. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Apply through our website! It’s the quickest way to get your application seen. Plus, you’ll have access to all the latest opportunities in our Cognitive Intelligence Solutions Division.
We think you need these skills to ace Junior AI Solutions Consultant
Some tips for your application 🫡
Show Your Passion: When you write your 100-word note, let your enthusiasm for AI Solutions Consulting shine through! We want to see what excites you about this field and how you envision contributing to our team.
Tailor Your Application: Make sure to customise your application materials to highlight relevant experiences and skills. Whether it's a personal project or an internship, we want to see how your background aligns with the role of Junior AI Solutions Consultant.
Be Clear and Concise: In your written application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate well-structured responses that get straight to the point, making it easy for us to understand your qualifications.
Apply Through Our Website: Don’t forget to complete your full application through our portal! It’s the best way for us to keep track of your application and ensure you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Data Nucleus
✨Know Your AI Basics
Brush up on your understanding of AI and machine learning concepts. Be ready to discuss frameworks like TensorFlow and PyTorch, as well as your experience with personal projects or internships. This will show your passion and readiness for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in past projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical skills and attention to detail.
✨Demonstrate Collaboration
Since this role involves working with cross-functional teams, be prepared to discuss your experiences collaborating with others. Share instances where you effectively communicated complex ideas to non-technical stakeholders, showcasing your teamwork and communication skills.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team culture, ongoing projects, or the technologies used. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
