At a Glance
- Tasks: Develop and implement cutting-edge AI solutions to transform the insurance industry.
- Company: Rapidly expanding insurer focused on innovation and technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and continuous learning.
- Why this job: Join a forward-thinking team and make a real impact with advanced AI technologies.
- Qualifications: PhD or Master’s in AI, Computer Science, or related fields; Python proficiency required.
The predicted salary is between 50000 - 70000 £ per year.
Our client is a rapidly expanding insurer known for its data‑driven approach, in‑house technology focus, and ambitious plans to reshape the insurance industry through advanced AI. This organization fosters innovation, encourages experimentation, and values staying ahead of technological advances. The role offers the opportunity to work within a forward‑thinking team dedicated to modernizing processes, enhancing decision‑making, and deploying high‑impact AI solutions. If you thrive in a dynamic environment and are passionate about exploring emerging AI technologies, this position is ideal for you.
Role Overview
This AI Engineer role involves evaluating and implementing cutting‑edge AI technologies to solve complex business challenges within a fast‑growing insurance company. You will develop, deploy, and maintain AI solutions, collaborate with various teams to integrate models into operational workflows, and stay at the forefront of AI research to apply relevant techniques in practical insurance applications.
Key Skills & Experience
- PhD or Master’s degree in AI, Computer Science, Data Science, or related discipline
- Proven experience developing AI, LLM, and Machine Learning solutions
- Active engagement in keeping AI knowledge current
- Proficiency in Python programming
- Experience with frameworks such as TensorFlow or PyTorch
- Creative thinking and confident problem‑solving abilities
- Strong discovery, analysis, and specification skills
- Collaborative team player
- Experience in or familiarity with the insurance sector (desirable but not essential)
Key Responsibilities
- Evaluating, selecting, and deploying advanced AI technologies to address business needs
- Designing, developing, and iterating on AI models and proofs‑of‑concept using a “fail fast, learn faster” approach
- Developing, deploying, monitoring, and maintaining end‑to‑end AI solutions
- Enabling teams to effectively use Gemini Enterprise and Google Cloud Platform for AI applications
- Working closely with IT and business stakeholders to integrate AI models into operational workflows
- Staying current with AI research and translating emerging techniques into practical insurance solutions
- Championing AI‑assisted coding tools to improve productivity and accelerate delivery
- Analyzing large, complex datasets to uncover opportunities and prepare data for training and validation
Requirements
- Right to work in the UK
- Experience in AI, machine learning, or related fields
- Based in or willing to work in Greater Manchester
- Availability for a permanent position with a hybrid work environment (2–3 days on‑site)
This is an excellent opportunity for an innovative AI professional to join a company committed to technological transformation in insurance. If you meet the above criteria and are eager to contribute to pioneering AI initiatives, we encourage you to apply.
AI Engineer for Insurance Tech (Hybrid UK) in Manchester employer: Gravitas Group
Our client is an exceptional employer that champions innovation and creativity within the insurance sector, offering a dynamic work culture that encourages experimentation and collaboration. With a strong focus on employee growth, this rapidly expanding company provides opportunities to engage with cutting-edge AI technologies while working in a hybrid environment in Greater Manchester. Join a forward-thinking team dedicated to reshaping the industry and enjoy the benefits of being part of a data-driven organisation committed to your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer for Insurance Tech (Hybrid UK) in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the insurance tech space, especially those working with AI. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those relevant to insurance. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios that the company might face. Practising coding challenges and discussing your thought process can demonstrate your creative thinking and confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for innovative minds like yours. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace AI Engineer for Insurance Tech (Hybrid UK) in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI, machine learning, and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in the insurance sector and how you can contribute to our innovative team. Keep it engaging and personal!
Showcase Your Technical Skills:Since we’re all about cutting-edge tech, make sure to mention your proficiency in Python and any frameworks like TensorFlow or PyTorch. Highlight specific projects where you’ve used these skills to solve real problems.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at Gravitas Group
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and trends, especially those relevant to the insurance sector. Be ready to discuss your experience with frameworks like TensorFlow or PyTorch, and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've tackled using AI solutions. Use the 'fail fast, learn faster' approach to demonstrate your creative thinking and how you iterate on your ideas to achieve success.
✨Collaborate Like a Pro
Since this role involves working closely with various teams, be prepared to discuss your collaborative experiences. Highlight instances where you’ve integrated AI models into workflows and how you’ve communicated with stakeholders to ensure smooth implementation.
✨Stay Ahead of the Curve
Research recent advancements in AI and be ready to share your insights during the interview. Discuss how you keep your knowledge current and how you can apply emerging techniques to practical insurance applications.
