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- Tasks: Lead innovative AI/ML solutions and tackle complex business challenges.
- Company: Join a forward-thinking tech company in London, shaping the future of digital transformation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by architecting cutting-edge AI solutions for diverse industries.
- Qualifications: 15+ years in AI/ML with strong leadership and communication skills.
- Other info: Dynamic environment with a focus on collaboration and innovation.
The predicted salary is between 43200 - 72000 £ per year.
A technology-forward Architect motivated by the opportunity to work in a differentiated, innovative environment, and to architect impactful solutions for clients in digital transformation initiatives leveraging artificial intelligence and machine learning. The ideal candidate will have deep expertise across the full ML lifecycle and a proven track record in leading cross-functional teams to deliver impactful business outcomes through data, technology, and innovation. This role will address complex business challenges by designing scalable, secure, and reliable AI/ML architectures, ensuring strategic alignment, vision realization, and partnership with client’s stakeholder groups.
Key Responsibilities:
- Lead end-to-end AI/ML solution design and delivery—from problem definition, data ingestion, and feature engineering to model build, deployment, monitoring, and retraining.
- Architect and evolve enterprise-grade data and ML platforms enabling modular, reusable, and scalable analytics and intelligence solutions.
- Provide strategic technical and business consulting to clients across industries such as Government, Life Sciences & Healthcare, Financial Services/Fintech, Retail, and Technology.
- Drive MLOps initiatives, ensuring efficient model management and lifecycle automation.
- Collaborate with product development, engineering, and business teams to translate business goals into actionable AI/ML solutions.
- Oversee the implementation of testing, personalization, and measurement frameworks supporting AI-driven user experiences.
Technical Skills:
- Data Science: Python, SQL, C++, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch; expertise in ML/DL/NLP/CV
- Data Engineering: Databases, compute optimization, end-to-end pipeline architecture, visualization tools
- Software Development: SDLC, Agile methodologies, project management, roadmap planning
- Business Analytics: AI vision, data strategy, testing, personalization, measurement, and research methodologies
Qualifications:
- Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
- 15+ years of experience in AI/ML, data engineering, or related domains.
- Proven experience leading large technical teams and managing enterprise-scale AI platforms.
- Strong communication and consulting skills, with the ability to bridge technical and business discussions.
Location: London, UK.
Solution Architect-AIML(London,UK) employer: Navikenz
Contact Detail:
Navikenz Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect-AIML(London,UK)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space and let them know you're on the lookout for opportunities. Attend industry meetups or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your past projects, especially those involving AI/ML solutions. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML scenarios and case studies. Be ready to discuss how you've tackled complex business challenges in the past and how you can bring value to their team.
✨Tip Number 4
Don't forget to apply through our website! We have some fantastic roles that could be a perfect fit for you. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Solution Architect-AIML(London,UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Solution Architect role. Highlight your expertise in AI/ML and any relevant projects you've led, as we want to see how you can contribute to our innovative environment.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI/ML and how your background makes you a perfect fit for the role. Be sure to mention specific achievements that demonstrate your ability to drive impactful business outcomes.
Showcase Your Technical Skills: We’re looking for someone with deep technical expertise, so don’t hold back! List your proficiency in tools like Python, SQL, and TensorFlow, and provide examples of how you've used them in past projects to solve complex challenges.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. This way, we can easily track your application and get back to you faster. We can't wait to see what you bring to the table!
How to prepare for a job interview at Navikenz
✨Know Your AI/ML Inside Out
Make sure you brush up on your knowledge of the full ML lifecycle. Be ready to discuss specific projects where you've led the design and delivery of AI/ML solutions, focusing on how you tackled complex challenges and achieved impactful outcomes.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading cross-functional teams. Think about times when you successfully collaborated with product development, engineering, and business teams to translate goals into actionable solutions.
✨Understand the Business Context
Familiarise yourself with the industries mentioned in the job description, like Government, Healthcare, and Fintech. Be prepared to discuss how your technical expertise can drive business value and align with their strategic vision.
✨Demonstrate Your Technical Proficiency
Be ready to dive deep into your technical skills, especially in Python, SQL, and popular ML frameworks. You might be asked to solve a problem on the spot, so practice articulating your thought process clearly and confidently.