At a Glance
- Tasks: Develop AI/ML models and collaborate on impactful projects with industry experts.
- Company: Join a forward-thinking tech company through our Mid-Level Accelerator programme.
- Benefits: 100% free training, competitive salary, and potential job placement with top clients.
- Other info: Dynamic learning environment with opportunities for career growth and innovation.
- Why this job: Gain hands-on experience in AI/ML while making a real difference in the tech world.
- Qualifications: 1.5+ years in Software or Data Engineering; Python, Java, or JavaScript skills required.
The predicted salary is between 50000 - 70000 £ per year.
This is a free 16 week training course followed by the potential for a role with one of our clients.
Step into a role as a Senior AI/ML Engineer with one of our clients through the Mid-Level Accelerator programme.
The role:
- Develop AI/ML and Generative AI / LLM models to address challenging and impactful business problems, from proofs of concept to production-level deliverables, and produce thorough model evaluation and documentation to support decision-making and assess model risk.
- Write patents and academic papers, with a focus on top-tier AI conferences and journals.
- Define, create, and maintain actionable insights using data science and statistical analysis. Prepare analyses to provide business decision-supporting facts.
- Thoroughly evaluate solutions and produce supporting documentation; assess results to ensure accurate business decision-supporting information.
- Collaborate with colleagues and subject matter experts (SMEs) to obtain data and domain knowledge needed to conduct advanced analytics.
- Continuously grow and develop skills across AI/ML and GenAI and increase business acumen.
- Stay highly up to date with the latest advances in AI/GenAI, technology innovations, and banking industry trends. Share findings with the team, recommend areas for improvement, and promote adoption of AI tools and platforms.
- Be proactive and autonomous in solving problems, demonstrating a strong sense of ownership and urgency.
- Demonstrate leadership skills and ownership by taking initiative, making progress through teamwork and stakeholder engagement.
From free learning to a linked job role. Our Mid-Level Accelerator programme with a linked job role is perfect for those who have 1.5+ years of experience in Software or Data Engineering (Python), Java or JavaScript and are looking to progress their career and move into a Mid-Level technical role with a new and exciting opportunity with one of our clients.
SKILLS YOU'LL DEVELOP:
- T-Shaped Skill Set: become the go-to person for your technical specialism in addition to building on your collaborative skills to understand and empathise with other tech roles and stakeholders.
- Technical Leadership: you'll develop your technical professional skills across mentoring, teamwork, stakeholder communication, and technical decision-making to put you on the pathway to senior individual contributor or technical management roles.
- Agility & Automation: taking part in modern software development process, you'll further develop your Agile, DevOps and automation skills, deploying to the cloud.
- Innovation & Inclusive products: by building products with DE&I at the core, you will further harness additional techniques in the software development process to foster the development of inclusive products.
100% FREE LEARNING LINKED TO JOB ROLES. Just like all of our courses, the Mid-Level Accelerator is 100% free for all students. There are no secret or hidden fees, no payment upon completion, and no debt. We work with our partner companies to ensure this education is free for all learners.
Benefits - vary per client, but are competitive.
Senior AI/ML Engineer employer: Code First Girls
Code First Girls is an exceptional employer that champions inclusivity and professional growth, making it a rewarding place for experienced Java developers to contribute as technical coaches. With a commitment to addressing gender imbalance in tech, the company fosters a supportive remote work culture that values mentorship and collaboration, offering flexible freelance opportunities that empower coaches to shape the future of aspiring software engineers. Join us in making a meaningful impact while enjoying the freedom of remote work across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI/ML Engineer
✨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 Code First Girls!
✨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 Senior AI/ML Engineer at Code First Girls.
✨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 Code First Girls.
✨Apply Directly through Our Website
When you find a suitable opening like Senior AI/ML Engineer at Code First Girls, 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 Senior AI/ML Engineer
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 Code First Girls, 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 Code First Girls. 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 Code First Girls
✨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 Code First Girls!
✨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.
