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- Tasks: Lead the development and deployment of impactful AI/ML solutions across various industries.
- Company: Join Modaxo, a leader in AI-driven solutions for global transportation.
- Benefits: Competitive salary, professional development, and opportunities for mentorship.
- Other info: Dynamic role with significant career growth potential and a focus on ethical AI practices.
- Why this job: Be at the forefront of AI innovation and drive real change in mission-critical environments.
- Qualifications: 7+ years in AI/ML with strong production deployment experience.
The predicted salary is between 80000 - 100000 £ per year.
The Senior AI Solutions Architect will be responsible for identifying, developing, and deploying technical AI/ML solutions that drive measurable impact across Modaxo’s portfolio companies and have a positive effect on their clients and product end users. This role requires deep technical expertise in practical AI/ML, combined with a strong understanding of business-building, particularly financial drivers. The ideal candidate will have experience taking AI solutions from research and prototypes into production in mission-critical environments, ensuring high availability, scalability, and maintainability.
This is a high-visibility role; you will be a key contributor to Modaxo’s AI growth strategy. Professional development is an integral part of the Modaxo culture, and you’ll draw on your prior experience in building and mentoring technical teams (including third-party partners) to help with future expansion plans. You will directly contribute to the technical implementation, growth and transformation of all businesses under Modaxo, driving change across the global people transportation vertical.
Full-Stack AI/ML Development & DeploymentDesign and implement production-grade AI/ML solutions, covering data ingestion, model development, deployment, monitoring, and maintenance. Develop end-to-end MLOps pipelines, ensuring automation, reproducibility, and scalability. Advise on and help to optimize production AI models for real-world constraints, such as latency, resource usage, and regulatory compliance. Deploy AI solutions on cloud (AWS, Azure, GCP) and on-premise infrastructure.
Specific Industry ApplicationsYou will apply AI/ML and other analysis and automation techniques to complex problem domains within the Modaxo group of companies, including:
- Computer Vision (object detection, image segmentation, anomaly detection, text extraction)
- Scheduling & Planning (resource allocation, constraint optimization, fleet routing)
- Deep Learning & LLMs (transformers, reinforcement learning, generative AI for a range of text-based applications)
- Predictive Analytics (time-series and demand forecasting, risk assessment)
Prior experience in high-uptime, mission-critical industries such as transportation, logistics, healthcare, defense, high energy physics research, or manufacturing.
Change Management & Results FocusWork directly with engineering teams to ensure smooth transition from lab to production. Conduct training seminars for both technical and non-technical stakeholders on AI capabilities, methods, tools, and governance. Implement technical guardrails for responsible, safe and ethical use of AI/ML within Modaxo company products and experiments. Lead by influence; be a trusted authority. Assist Modaxo’s Head of AI and the AI Program Manager to develop and refine financial models to quantify the impact of AI investments. Align AI projects with strategic goals, ensuring measurable business outcomes.
Experience7+ years of progressively senior experience, deploying AI/ML and/or automation solutions, with at least 3 years working on production deployments of AI models and tools in live products with hundreds of users. Experience working on production grade products in a high-uptime, mission-critical environment with large-scale AI systems used by thousands of users. Proven track record of translating AI research into deployable, financially viable solutions. Prior experience working in logistics, transportation, transit, healthcare, defense, or manufacturing, or similar.
Technical SkillsWorking production experience in Python, and at least two of: C#, C/C++, Java, Go. Machine Learning & AI stacks, including: TensorFlow, PyTorch, Scikit-learn, Transformers, LLMs. Customization: fine-tuning, RAG, other related methods. MLOps & DevOps: MLflow, TFX, Kubeflow, Docker, Kubernetes, CI/CD terminology and pipelines in GIT, Jira. Cloud & Infrastructure: AWS BedRock, SageMaker AI, Azure Machine Learning, GCP Vertex AI, Kubernetes, Terraform. Data Engineering: Apache Kafka, Spark, Airflow, Parquet, SQL, NoSQL and graph databases. Optimization & Scheduling: Constraint optimization (eg. LP), Reinforcement Learning.
EducationMinimum Bachelors in Computer Science, Statistics, Engineering, Physics or OR&IE, with a focus on AI, Machine Learning, Data Science, or related field. Masters or PhD preferred. Certifications in cloud AI/ML (AWS, Azure, GCP) are a strong asset.
Senior AI Solutions Architect in Liverpool employer: Modaxo
Contact Detail:
Modaxo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Solutions Architect in Liverpool
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those that demonstrate your ability to take solutions from research to production. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and business aspects of AI. Be ready to discuss how your work can drive measurable impact and align with company goals. We want to see that you can think strategically!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI Solutions Architect in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in AI/ML solutions and any relevant projects you've worked on that align with Modaxo’s needs.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Senior AI Solutions Architect role. Share your passion for AI, your experience in high-uptime environments, and how you can contribute to Modaxo’s growth strategy.
Showcase Your Technical Skills: Don’t forget to list your technical skills clearly! Mention your experience with Python, MLOps tools, and any cloud platforms you've worked with. We want to see how you can bring your technical expertise to our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Modaxo!
How to prepare for a job interview at Modaxo
✨Know Your AI Inside Out
Make sure you brush up on your AI/ML knowledge, especially the practical applications relevant to Modaxo. Be ready to discuss your experience with deploying AI solutions in mission-critical environments and how you've tackled challenges like latency and resource usage.
✨Showcase Your Business Acumen
Since this role involves aligning AI projects with strategic goals, be prepared to talk about how your technical solutions have driven measurable business outcomes in the past. Highlight any experience you have in financial modelling or optimising AI investments.
✨Demonstrate Leadership Skills
This position requires mentoring and leading teams, so think of examples where you've successfully guided others. Discuss how you've influenced change management and helped teams transition from lab to production smoothly.
✨Prepare for Technical Deep Dives
Expect to dive deep into technical discussions during your interview. Brush up on your coding skills in Python and other languages mentioned in the job description. Be ready to explain your experience with MLOps tools and cloud platforms like AWS, Azure, or GCP.