At a Glance
- Tasks: As an AI Engineer, develop and maintain AI solutions to enhance our digital presence.
- Company: Join a digital insurance provider aiming to be the best in the UK market.
- Benefits: Enjoy flexible working, competitive bonuses, and a comprehensive wellbeing programme.
- Why this job: Be part of a collaborative culture that values creativity and continuous improvement.
- Qualifications: Experience in AI/ML engineering, proficiency in Python, and familiarity with cloud services required.
- Other info: 25 days annual leave, mental health support, and opportunities for personal growth.
The predicted salary is between 28800 - 48000 £ per year.
We’re a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. Over the past few years, we\’ve made significant investments in our data and tech capabilities, particularly within our CIO function. Our CIO team is at the forefront of driving innovation and ensuring our technology infrastructure supports our ambitious goals. We’ve nurtured our 4Cs culture, fostering collaboration, creativity, and continuous improvement.
We’re proud of the journey we’re on as a company and know that our continued success will rely on the contribution of our talented colleagues. The CIO team plays a crucial role in this journey, working on cutting-edge projects that enhance our digital presence and improve customer engagement.
As an AI Engineer, you will support the Technology Engineering team within CIO by contributing to the development, deployment, and maintenance of AI and machine learning solutions. Your work will help ensure the smooth and efficient delivery of AI capabilities into production environments.
You will work alongside senior AI engineers and cross-functional teams to understand business needs, support model deployment, and help identify opportunities for automation and improvement. This role offers opportunities to learn from experienced colleagues, contribute to responsible AI practices, and grow your skills in a collaborative and innovative environment.
Skills we would love you to have:
- Experience in AI/ML engineering or applied machine learning.
- Basic experience delivering AI solutions in a collaborative environment.
- Proficiency in Python and familiarity with ML libraries
- Understanding of APIs, containers, and cloud services with focus on Azure
- Familiarity with data engineering concepts and pipeline orchestration.
- Experience with version control (e.g. Git) and CI/CD practices.
What we offer
Join us and you’ll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you’ll be helping to drive our growth, so in return, we’ll give you all the support, training and development you need. Not to mention plenty of recognition and rewards, and the scope to voice your ideas and put them into practice.
Reward
- Salary – Attractive salary based on experience (pay reviews also completed each year)
- Flexible Working –We champion a flexible and hybrid working approach so please speak to your recruiter to discuss in more detail, including days in the office and at home.
- Competitive Bonus Scheme – All colleagues are eligible for our annual 4Cs performance bonus, which is usually paid in March. The scheme is based on Hastings’ performance against our business goals and your own personal performance.
- Financial Wellbeing – As well as providing you with 4x your salary with our life assurance cover and income protection at no extra cost, pension contribution match up to 10%, we are proud to provide you with an AWARD WINNING package which includes – discounts and cashback at everyday retailers and on our own products, fee free independent mortgage advice, and free access to financial wellbeing support.
- Mental Wellbeing programme – At Hastings Direct we understand that mental health cannot not be scheduled, that’s why we have a range of support to help you keep yourself well. We have the thrive mental health app, our colleague assistance programme available 24/7, our own, in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs
- There\’s more! – 25 days annual leave + bank holidays, with the option to buy or sell one of your contracted weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more ….
- Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, we’ll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve
At Hastings Direct, we’re committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.
Job posting end date:
17/08/2025 #J-18808-Ljbffr
AI Engineer employer: Hastings Direct
Contact Detail:
Hastings Direct Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to the insurance industry. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the company.
✨Tip Number 2
Network with current employees or professionals in the field through platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during your application process.
✨Tip Number 3
Showcase your collaborative skills by participating in open-source projects or hackathons that focus on AI solutions. This hands-on experience will not only enhance your resume but also give you practical examples to discuss during interviews.
✨Tip Number 4
Prepare to discuss how you can contribute to responsible AI practices. Given the company's emphasis on innovation and ethical standards, being able to articulate your understanding of these principles will set you apart from other candidates.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML engineering and applied machine learning. Emphasise your proficiency in Python, familiarity with ML libraries, and any experience with Azure or cloud services.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company’s mission. Mention how your skills align with their 4Cs culture and how you can contribute to their ambitious goals in the UK market.
Showcase Collaborative Experience: Since the role involves working in a collaborative environment, provide examples of past projects where you successfully worked with cross-functional teams. Highlight your contributions to model deployment and automation opportunities.
Highlight Continuous Learning: Mention any ongoing education or training in AI and machine learning. This could include online courses, certifications, or personal projects that demonstrate your commitment to staying updated in the field.
How to prepare for a job interview at Hastings Direct
✨Showcase Your AI/ML Experience
Be prepared to discuss your previous projects involving AI and machine learning. Highlight specific examples where you contributed to the development, deployment, or maintenance of AI solutions, as this will demonstrate your practical experience in the field.
✨Familiarise Yourself with the 4Cs Culture
Understand the company's 4Cs culture—collaboration, creativity, continuous improvement, and customer focus. Be ready to share how you embody these values in your work and how you can contribute to fostering this culture within the team.
✨Brush Up on Technical Skills
Make sure you're comfortable discussing your proficiency in Python and any relevant ML libraries. Be ready to explain your understanding of APIs, containers, and cloud services, particularly Azure, as these are crucial for the role.
✨Prepare Questions About Team Dynamics
Since you'll be working alongside senior AI engineers and cross-functional teams, prepare thoughtful questions about team collaboration and project workflows. This shows your interest in teamwork and helps you gauge how well you might fit into their environment.