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- Tasks: Lead innovative AI projects that make a real difference in people's lives.
- Company: Zaizi, a forward-thinking tech company focused on public sector solutions.
- Benefits: Competitive salary, generous leave, professional development, and health perks.
- Why this job: Join a mission-driven team and tackle complex challenges with cutting-edge technology.
- Qualifications: Experience in machine learning and a passion for problem-solving.
- Other info: Inclusive culture welcoming diverse backgrounds and offering excellent career growth.
The predicted salary is between 54000 - 84000 £ per year.
Work on exciting public sector projects and make a positive difference in people’s lives. At Zaizi, we thrive on solving complex challenges through creative thinking and the latest tools and tech. As a Machine Learning Engineer, AI, you’ll be responsible for researching, developing, and testing new AI algorithms, models, and technologies that businesses can use to automate tasks and gain insights from their data.
Key responsibilities include:
- Building complex models.
- Designing and managing MLOps pipelines for CI/CD, monitoring, and model retraining.
- Mentoring junior members and influencing technical decisions within the team.
- Handling complex, non-routine problems.
Our work culture is inclusive, modern, friendly, and democratic. We look for bright, positive-thinking individuals with a can-do attitude. Our people enjoy challenging themselves to be the best at what they do.
Requirements:
- Broad technical expertise in machine learning, demonstrating a deep understanding of various ML algorithms, frameworks, and best practices.
- Proven experience in building, deploying, and managing complex machine learning models.
- Research activities as a subject matter expert in generative AI research.
- Systematically discovering and evaluating new generative AI technologies for business relevance.
- Delivering complex, high-risk proofs of concept that test new AI applications.
- Applying a range of data science techniques to support model development.
You don’t meet all the requirements? Studies show that women and black, Asian and minority ethnic people are less likely to apply for a job unless they meet every qualification. So if you’re excited about this role but your experience doesn’t align perfectly with the job description, we’d love you to still apply.
This role requires eligibility for UK Government Security Clearance. This currently means candidates must have the right to work in the UK without sponsorship and have lived in the UK continuously for the last 5+ years.
Compensation:
- Competitive Pay: Salaries reviewed annually to ensure they reflect your performance and market value.
- Loyalty Pension: Starting at a 5% employer contribution, increasing by 0.5% every year after your third anniversary, up to a maximum of 8%.
- Comprehensive Group Life Assurance for peace of mind.
Purpose & Culture:
- Real Impact: Work on mission-critical projects that secure and improve the UK's digital infrastructure.
- Autonomy: A culture that empowers you to make decisions, prototype rapidly, and iterate towards success.
- Service & Community: 10 paid days for Reservist Military Service.
Work / Life Balance:
- 25 days annual leave + Bank Holidays, with the flexibility to Buy/Sell additional days.
- 2 paid volunteering days per year.
Development & Growth:
- Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave.
- An additional £500 annual "Personal Choice" fund to learn whatever inspires you.
- Access to 1-2-1 professional coaching and team training to accelerate your career.
Health & Balance:
- Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards).
- Genuine hybrid working with a WFH equipment allowance.
- Cycle to Work scheme and a commitment to sustainable, healthy working practices.
Lead Machine Learning Engineer, AI employer: Zaizi Ltd
Contact Detail:
Zaizi Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Machine Learning Engineer, AI
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, algorithms, and any cool stuff you've built. This is your chance to demonstrate your expertise and creativity beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your thought process. Remember, they want to see how you tackle complex issues, so think aloud!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at Zaizi. Don’t hesitate—hit that apply button!
We think you need these skills to ace Lead Machine Learning Engineer, AI
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with machine learning and AI. We want to see how your skills align with the exciting projects we work on at Zaizi!
Showcase Your Problem-Solving Skills: In your application, don’t shy away from sharing examples of complex challenges you've tackled in the past. We love candidates who can think creatively and come up with innovative solutions!
Be Yourself: We’re all about inclusivity and authenticity here at Zaizi. Let your personality shine through in your application – we want to know what makes you tick and how you can contribute to our friendly culture.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Zaizi Ltd
✨Know Your Algorithms
Brush up on your knowledge of various machine learning algorithms and frameworks. Be ready to discuss how you've applied them in past projects, especially in the context of public sector work. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex, non-routine problems you've tackled in your previous roles. Highlight your thought process and the innovative solutions you developed. Zaizi values creative thinking, so demonstrating your ability to think outside the box will set you apart.
✨Familiarise Yourself with MLOps
Since managing MLOps pipelines is a key responsibility, make sure you can discuss your experience with CI/CD processes. Be ready to explain how you've designed and managed robust pipelines in the past, and how you ensure model performance and reliability.
✨Emphasise Team Collaboration
Zaizi looks for individuals who thrive in a collaborative environment. Prepare to talk about your experience mentoring junior team members and influencing technical decisions. Share how you’ve worked with others to integrate models into existing systems, showcasing your teamwork skills.
