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For Companies At a Glance
- Tasks: Enhance AI products and develop innovative applications in a collaborative team.
- Company: Join a leading tech company focused on cutting-edge AI solutions.
- Benefits: Enjoy 25 days leave, private healthcare, and hybrid working options.
- Why this job: Make a real impact with AI while growing your skills in a dynamic environment.
- Qualifications: Experience in software development, Agile practices, and cloud deployment.
- Other info: Mentorship opportunities and excellent career growth await you.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an experienced Applied AI Software Engineer to join our growing AI product team in the UK, based in Glasgow or London. In this role, you will enhance existing products and capabilities while expanding AI-enabled applications and services. You’ll work with a team focused on data and AI development, applying your software engineering expertise and experience with AI or agent-based solutions. This is an exciting opportunity to grow your skills, work on cutting-edge AI projects, and make a real impact in a collaborative, innovative environment.
The Role
Hybrid working up to 2 days in office, with the remainder of your time spent working remotely, offering a flexible approach to work-life balance within our collaborative team environment. You will be able to provide mentorship and support to junior members of the team as well as take part in the overall design and direction of the technology solutions that we implement. Applying design and architectural concepts to the solutions that they propose as well as excellent implementation of those designs as working, tested code. You will be a native in agile practices – able to adopt the appropriate techniques and processes to deliver the highest value software solutions in a prioritised manner. You will also be fully cognizant of cloud deployment and execution – with the ability to exploit cloud services and technologies as well as understanding the full life cycle of the product you create from requirement: code, testing, deployment, execution and support. You will become a member of a small but highly experienced team, covering all aspects of software production – from design through to deployment and of course support.
Qualifications
What you’ll bring
- Essential Experience:
- Demonstrable professional experience in a technical software environment, as a developer with data or application engineering.
- Experience working in a modern ‘Agile’ development environment with good Continuous Delivery processes.
- A solid understanding of numerical and statistical analysis.
- Strong testing ethos and methodology.
- Cloud Deployment and Infrastructure.
- Experience with the application of generative AI and Large Language Models (LLMs).
- Knowledge of machine learning frameworks and libraries.
- Understanding of data security and privacy best practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Python, Python AI & Data Frameworks.
- TypeScript, Node, React and related modern frameworks.
- Docker, and Kubernetes (Virtualisation).
- Data Observability, and Visualisation.
- SQL and NoSQL databases and processing.
- Generative AI and LLM application development.
- Generative & Agential libraries and frameworks.
- DevOps experience in Azure.
What we offer
Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.
Equal Opportunity Employer
We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please let us know.
Applied AI Software Engineer in London employer: Willis Towers Watson
Contact Detail:
Willis Towers Watson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and software engineering fields. Attend meetups, webinars, or even local tech events. 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 AI and cloud technologies. This is your chance to demonstrate your expertise and passion for the field, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and software development. Remember, it’s not just about what you know, but how you communicate your ideas!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications from enthusiastic candidates who are eager to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves!
We think you need these skills to ace Applied AI Software Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Applied AI Software Engineer role. Highlight your experience with Python, cloud deployment, and agile practices. 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 your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's generative AI or cloud solutions, we want to know what you've done and how it relates to the role. Don’t be shy about your achievements!
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 that you're keen on joining our awesome team at StudySmarter!
How to prepare for a job interview at Willis Towers Watson
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and agent-based solutions. Be ready to discuss your experience with Python, machine learning frameworks, and cloud deployment. The more specific examples you can provide, the better!
✨Show Off Your Agile Skills
Since this role is all about working in an Agile environment, be prepared to talk about your experience with Agile practices. Share how you've contributed to Continuous Delivery processes and how you prioritise tasks to deliver high-value software solutions.
✨Prepare for Problem-Solving Questions
Expect to face some technical challenges during the interview. Brush up on your problem-solving skills and be ready to demonstrate your analytical abilities. Think through a few scenarios where you've tackled complex issues in your previous roles.
✨Be a Team Player
This position involves mentoring junior team members and collaborating closely with others. Highlight your communication skills and any past experiences where you've successfully worked in a team or supported others in their development.
