At a Glance
- Tasks: Join a team creating cutting-edge AI solutions in the FinTech space.
- Company: High-growth FinTech company leading in financial services AI innovation.
- Benefits: Competitive salary, share options, remote work, and extensive personal development.
- Other info: Enjoy 25 days holiday, generous pension, and regular remuneration reviews.
- Why this job: Be part of a collaborative environment with real impact on market-leading AI projects.
- Qualifications: Experience in software engineering, particularly with Python and LLM technologies.
The predicted salary is between 65000 - 70000 £ per year.
Software AI Engineer with solid understanding of how to build LLM based solutions is sought by a high growth FinTech with a hub in the Midlands. Working at the forefront of financial services AI innovation, this Software AI Engineer will join a multi-disciplinary team that are turning ideas into production ready, market leading AI solutions.
This role would suit a Software or Data Engineer with at least two years commercial experience in a broad range of technologies and a demonstrable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return, this Software AI Engineer can expect excellent career development and training opportunities within a market leading scale up.
This Software AI Engineer should have most of the following key skills:
- A software engineering background – Python, JavaScript, Typescript, node.js etc.
- General commercial LLM experience
- Solid test driven development experience
- Varied database exposure – PostgreSQL, MongoDB, CosmosDB
- Cloud services exposure – Azure preferred but all considered
- Very strong communication skills
- Understanding of AI security guardrails
- Experience working in a regulated or FinTech environment
This Software AI Engineer will receive:
- Starting salary of between £65,000 - £70,000 base salary
- Share options
- Long term remote working
- Extensive personal development scheme
- 25 days holiday
- Generous pension scheme
- Truly autonomous, collaborative culture with extensive growth potential
- Regular remuneration reviews
So if you are a Software AI Engineer who wants to join a market leading business with innovation at its core, please apply now to be considered.
Artificial Intelligence Engineer in Leeds employer: SF Technology Partners
This company is an exceptional employer for a Staff Engineer, offering a unique opportunity to lead in AI innovation and product development while enjoying a healthy work-life balance through hybrid and flexible working arrangements. With a strong commitment to employee growth, including a well-structured training scheme and regular salary reviews, you will thrive in a collaborative and autonomous team culture that values your contributions and supports your professional journey. Located near Manchester, this PE-backed firm not only provides competitive salaries but also the chance to significantly benefit from the company's growth trajectory.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Leeds
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like SF Technology Partners!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Artificial Intelligence Engineer at SF Technology Partners.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like SF Technology Partners.
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When you find a suitable opening like Artificial Intelligence Engineer at SF Technology Partners, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Artificial Intelligence Engineer in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SF Technology Partners, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SF Technology Partners. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SF Technology Partners
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SF Technology Partners!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
