At a Glance
- Tasks: Design and deliver impactful AI solutions while shaping the organisation's AI strategy.
- Company: Mission-driven software organisation with a focus on innovation.
- Benefits: Up to £125,000 salary, bonus, benefits package, and remote work.
- Other info: Collaborative culture with excellent career progression opportunities.
- Why this job: Drive innovation in AI and make a real-world impact from anywhere in the UK.
- Qualifications: Experience in AI/ML solutions, Python, and cloud environments.
The predicted salary is between 100000 - 125000 £ per year.
Lumora Solutions is representing a mission-driven software organisation seeking an AI Architect to join its growing AI Centre of Excellence. Working remotely from anywhere in the UK, you will design and deliver high-impact AI solutions while helping shape the organisation’s long-term AI strategy. This is a cross-functional role offering the opportunity to drive innovation and work on products that make a real-world impact.
What you will be doing:
- Design and deliver production-grade AI/ML solutions, from data ingestion and model development through to deployment and monitoring.
- Build scalable MLOps pipelines, ensuring automation, reliability, and efficient deployment across cloud and on-premise environments.
- Apply AI technologies including Computer Vision, Predictive Analytics, Deep Learning, and LLMs to solve complex business challenges.
- Work with stakeholders to deliver high-impact solutions in mission-critical, high-availability environments.
- Align AI projects with strategic goals, ensuring measurable business outcomes.
What you will bring:
- Commercial experience building AI/ML solutions with Python.
- Expertise in TensorFlow, PyTorch, Scikit-learn, Transformers, LLMs, and techniques such as fine-tuning and RAG.
- Experience deploying AI solutions in AWS, Azure, or GCP environments.
- Strong MLOps knowledge, including Docker, Kubernetes, MLflow, and CI/CD pipelines.
- Experience with data engineering, optimisation, or reinforcement learning.
- Good understanding of the Software Development Lifecycle (SDLC).
Why Join:
- Remote working
- Collaborative work culture
- Career progression opportunities
Artificial Intelligence Specialist in Wakefield employer: Lumora Solutions
Lumora Solutions is an exceptional employer that champions innovation and collaboration within a remote working environment across the UK. With a strong focus on career progression and a mission-driven approach, employees are empowered to design impactful AI solutions that contribute to meaningful real-world outcomes. The supportive work culture fosters creativity and teamwork, making it an ideal place for professionals eager to grow in the dynamic field of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Specialist in Wakefield
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it’s a GitHub repo or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and tools. Practice explaining your past projects and how they align with the role you’re applying for.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our mission-driven team. It’s a great way to stand out!
We think you need these skills to ace Artificial Intelligence Specialist in Wakefield
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Architect role. Highlight your experience with AI/ML solutions, especially using Python and relevant frameworks like TensorFlow and PyTorch. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our mission-driven team. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Projects:If you've worked on any AI/ML projects, make sure to showcase them in your application. Whether it's through a portfolio or detailed descriptions in your CV, we love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our collaborative work culture!
How to prepare for a job interview at Lumora Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies like TensorFlow, PyTorch, and the latest in LLMs. Be ready to discuss specific projects where you've applied these tools, as this will show your practical experience and understanding of the field.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex business challenges you've tackled using AI/ML solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your contributions led to measurable outcomes.
✨Understand MLOps Inside Out
Since this role involves building scalable MLOps pipelines, be ready to discuss your experience with Docker, Kubernetes, and CI/CD processes. Share examples of how you've ensured automation and reliability in your previous projects.
✨Align with Their Mission
Research Lumora Solutions and their mission-driven approach. Be prepared to explain how your values align with theirs and how you can contribute to their long-term AI strategy. This shows you're not just looking for a job, but a place where you can make a real impact.
