At a Glance
- Tasks: Build and deploy cutting-edge AI systems for innovative insurance products.
- Company: Join a global reinsurance group with a focus on technology and collaboration.
- Benefits: Competitive salary, bonuses, wellness perks, and generous holiday allowance.
- Other info: Flexible work environment with opportunities for career growth and personal development.
- Why this job: Make a real impact in AI while working with talented teams and advanced technologies.
- Qualifications: Experience in applied AI, ML models, and end-to-end development pipelines.
The predicted salary is between 72000 - 88000 £ per year.
AI Engineer London / WFH to 80k Are you a hands-on AI Engineer with end-to-end ownership experience?You could be progressing your career in a senior, hands-on AI Engineer role a global reinsurance group, building the technology platform behind a diverse portfolio of insurance products used across its international businesses.
As an AI Engineer you'll build and productionise intelligent systems that power next generation digital products, Digital Twins and agentic decision engines.
Remember to check your CV before applying Also, ensure you read through all the requirements related to this role.
Taking ownership across the full development lifecycle you'll design, develop and deploy behavioural AI models, translating techniques such as sequence prediction, intent modelling and imitation learning into production ready systems.
You'll build end-to-end AI pipelines spanning data ingestion, feature engineering, model training, inference and monitoring, while applying causal inference to understand the real world impact of AI driven decisions.
Collaborating with software engineers, ML engineers and product teams, you'll integrate AI capabilities into digital platforms through APIs, microservices and event driven architectures.
You'll also contribute to Digital Twin and agentic systems, implementing behavioural dynamics, state modelling and decision processes.
Location / WFH: You'll join colleagues in plush City offices with onsite gym and barista, three days a week, with flexibility to work from home the other two days.
About you: You have strong experience as an Applied AI Engineer, building and deploying AI / ML models into production environments You're focused on applied AI and delivering working systems, rather than purely theoretical research or simply integrating third-party LLM APIs You have experience with behavioural, sequential or decision making models, such as sequence prediction, intent modelling or imitation learning You have a good understanding of causal inference and techniques for evaluating the impact of AI driven decisions You have experience building end-to-end ML pipelines, including data processing, feature engineering, training, inference and monitoring You have strong engineering skills, with experience integrating AI services into production platforms using APIs, microservices xsabvtc or event driven architectures You have a good understanding of agentic systems, Digital Twins, simulation or intelligent automation You're collaborative with great communication and problem solving skills What's in it for you: As an AI Engineer you will receive a competitive package: Salary to 80k Bonus Pension, Income Protection, Life Assurance, Critical Illness Cover, Employee Assistance Programme Company Share Scheme Enhanced paternity leave and benefits Wellness benefits such as free PT sessions at the onsite gym, massages Medical and Dental Health insurance25 days holiday Perks such as "Kids Pass" for discounted days out, smart tech scheme Volunteering and charity days Apply now to find out more about this AI Engineer opportunity.
AI Engineer ML LLM in Vauxhall employer: Client Server
Join a dynamic and innovative FinTech company that values technical expertise and offers a collaborative work culture. With a competitive salary of up to £100k plus bonuses, you'll have the opportunity to make a significant impact while enjoying hybrid working arrangements in London. The company prioritises employee growth, providing ample opportunities for career progression and staying at the forefront of emerging technologies in the finance sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer ML LLM in Vauxhall
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Client Server or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Client Server.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Client Server.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Client Server that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer ML LLM in Vauxhall
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Client Server.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Client Server and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Client Server
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Client Server uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.