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- Tasks: Lead the design and development of AI-driven automation solutions using AWS technologies.
- Company: Join a forward-thinking tech company in Luton with a hybrid work model.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by optimising network control processes with cutting-edge AI.
- Qualifications: Bachelor's degree in Computer Science or related field; experience in software engineering and AWS.
- Other info: Collaborative environment with strong focus on innovation and continuous improvement.
The predicted salary is between 36000 - 60000 £ per year.
Location: Luton, UK (Hybrid 3 days)
Duration: 6+ Months
Roles and responsibilities:
- Design, develop, and implement automation solutions and AI-driven applications to optimise network control processes.
- Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker to build, deploy, and maintain scalable machine learning and automation pipelines.
- Collaborate with cross-functional teams, including operations, data science, and Product, to define requirements and deliver robust solutions.
- Monitor, troubleshoot, and enhance existing automation and AI systems to ensure high availability and performance.
- Stay abreast of new AWS features and emerging technologies in automation and AI, applying best practices to drive continuous improvement.
Supervisory / Managerial responsibilities:
Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Proven experience in software engineering with a focus on automation and AI applications.
Hands-on expertise with AWS Bedrock, AWS Quicksuite, and AWS SageMaker.
Strong programming skills in Python, Java, or similar languages commonly used for AI and automation.
Experience in designing and operationalising machine learning models in a production environment.
Excellent problem-solving skills and the ability to work collaboratively in a fast-paced setting.
Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Familiarity with airline operations or network control systems.
Knowledge of DevOps practices and infrastructure as code.
Experience with cloud security and data governance.
Core skills:
- Devops/ Platform Team interaction models
- Product-aligned Team Structures
- SRE and platform engineering concepts
Tech lead - AWS Connect AI - Luton, UK employer: Infoplus Technologies UK Ltd
Contact Detail:
Infoplus Technologies UK Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech lead - AWS Connect AI - Luton, UK
✨Tip Number 1
Network, network, network! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works in tech. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS technologies like Bedrock or SageMaker. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company and its culture, and then highlight how your experience aligns with their needs. This shows you’re genuinely interested and not just sending out generic applications.
✨Tip Number 4
Use our website to apply! We’ve got a streamlined process that makes it easy for you to showcase your skills and experience. Plus, applying through us means you’ll be in the loop for any updates or opportunities that come up.
We think you need these skills to ace Tech lead - AWS Connect AI - Luton, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS Bedrock, SageMaker, and automation solutions. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and automation, and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love seeing candidates who can think on their feet and come up with innovative solutions, especially in fast-paced environments.
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 the StudySmarter family!
How to prepare for a job interview at Infoplus Technologies UK Ltd
✨Know Your AWS Stuff
Make sure you brush up on your knowledge of AWS Bedrock, AWS Quicksuite, and AWS SageMaker. Be ready to discuss how you've used these tools in past projects, as well as any new features or technologies that excite you. This shows you're not just familiar with the tech but also passionate about it!
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in automation and AI applications. Think of a time when you had to troubleshoot a system or enhance an existing solution. This will demonstrate your analytical skills and ability to work under pressure.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be ready to talk about your experience collaborating with different departments. Highlight how you’ve communicated technical concepts to non-technical stakeholders, as this is crucial for ensuring everyone is on the same page.
✨Stay Current with Trends
Show that you’re proactive by discussing recent trends in automation and AI, especially those related to AWS. Mention any relevant articles, webinars, or courses you've taken. This will reflect your commitment to continuous improvement and staying ahead in the field.
