At a Glance
- Tasks: Join a dynamic team to develop and optimise AI solutions on a modern AWS data platform.
- Company: Public sector organisation focused on innovative data initiatives.
- Benefits: Competitive daily rate, remote work flexibility, and opportunity for hands-on experience.
- Other info: Initial 3-month contract with potential for growth and development.
- Why this job: Make a real impact in AI while working with cutting-edge technologies and a supportive team.
- Qualifications: Experience with AWS, Python, SQL, and data engineering is essential.
The predicted salary is between 103200 - 103200 £ per year.
We are looking for an AI Engineer for a public sector organisation to be based remotely on an initial 3-month contract, paying up to £530 per day (Inside IR35). There is an expectation to attend the office in London or Swindon 1 day per month.
The successful AI Engineer will join a growing data team supporting the development of a modern AWS-based data platform while contributing to emerging AI initiatives. This is a hands-on role combining data engineering, business intelligence and analytics, working across both BAU support and new capability development.
You will help build and optimise data pipelines, improve reporting capabilities and support the delivery of innovative data and AI solutions.
You will need proven experience working with the following:
- AWS data engineering technologies including Glue, S3, Lambda, Redshift and Athena
- Advanced SQL and strong Python development skills
- Building and maintaining data pipelines and data platform solutions
- Business Intelligence, analytics and reporting environments
- Data warehousing, data lakes and modern data architectures
- Data quality, governance and performance optimisation
- Working within complex or regulated environments
AI Engineer in London employer: Invitise
Join a forward-thinking public sector organisation that values innovation and collaboration, offering an exciting opportunity for an AI Engineer to contribute to cutting-edge data initiatives. With a flexible remote working arrangement and a supportive team culture, you will have the chance to enhance your skills while making a meaningful impact on the community. The company prioritises employee growth through continuous learning and development opportunities, ensuring you thrive in your career.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Invitise before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Invitise.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Invitise.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Invitise, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Invitise, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Invitise’s attention and show the tangible impact of your work.
How to prepare for a job interview at Invitise
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Invitise.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Invitise.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Invitise.
