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- Tasks: Transform AI models into robust software for impactful public sector projects.
- Company: Join Zaizi, a modern tech company focused on solving complex challenges.
- Benefits: Competitive pay, generous leave, and fully funded professional development.
- Other info: Inclusive culture with opportunities for mentorship and career growth.
- Why this job: Make a real difference in the UK's digital infrastructure while growing your skills.
- Qualifications: Experience in machine learning and software engineering required.
The predicted salary is between 36000 - 60000 £ per year.
Role Overview
Dept: Applied AI Team
Term: Permanent
Location: Cheltenham
DV Clearance: Required & British
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 Implementation Engineer, you’ll be responsible for taking AI models and algorithms from the research phase and maturing them into robust, production-ready software. Your focus is on increasing the Technology Readiness Level (TRL) of our AI solutions, ensuring they are scalable, reliable, and effectively integrated into business workflows to automate tasks and gain insights from data.
Key responsibilities include:
- Refining model code for performance, ensuring software maturity, and solving complex technical hurdles during the transition from prototype to product.
- Influencing technical decisions within the team, mentoring junior members, and 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 – if that sounds like you, you’ll fit right in!
Role Objectives
These are the expected objectives for this role. We are happy to discuss this further during the interview process with the successful candidate.
- Model Maturation & Delivery: Design, build, and refactor complex machine learning models, ensuring they move from experimental stages to high-quality, high-performance production software.
- Software Engineering for AI: Take the output from research activities and "harden" the software to achieve higher TRLs suitable for deployment in the National Security Domain.
- System Integration: Design and manage the integration of ML models into broader software architectures, ensuring stability and performance.
- Edge Optimization & Deployment: Adapt and optimize machine learning models for resource-constrained environments, ensuring high-performance execution on edge hardware, including Android-based mobile devices.
- Technical Excellence: Stay current with AI implementation best practices to ensure our solutions are maintainable and scalable.
Skills & Experience
- Technical Expertise: Broad technical expertise in machine learning, demonstrating a deep understanding of ML algorithms, frameworks, and software engineering best practices.
- Model Maturation: Proven experience in taking research-grade AI/ML code and maturing it into production-ready software.
- Technology Implementation: Ability to evaluate new generative AI technologies for business relevance and feasibility, focusing on practical implementation within the National Security Domain.
- Advanced Prototyping: Delivering robust proofs of concept that bridge the gap between initial research and final application.
- Specialist Advice: Serving as a key technical resource for the practical application of generative AI within the organization.
- Data Science: Applying a range of data science techniques to support model refinement and software hardening.
- Deployment Experience: Proven experience in building and deploying complex machine learning models into live environments.
Nationality
Due to UK government security restrictions, you will need to be a British Citizen and have been resident in the UK for the last ten years to apply for this role.
Compensation
- Competitive Pay: Salaries reviewed annually to ensure they reflect your performance and market value.
- Loyalty Pension: We invest in your future. Starting at a 5% employer contribution, we increase this by 0.5% every year after your third anniversary, up to a maximum of 8%.
- Protection: 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: We support those who serve. 10 paid days for Reservist Military Service.
Work / Life Balance
- Time Off: 25 days annual leave + Bank Holidays, with the flexibility to Buy/Sell additional days to suit your lifestyle.
- Giving back: 2 paid volunteering days per year.
Development & Growth
- Master Your Craft: Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave.
- Expand Your Horizons: An additional £500 annual "Personal Choice" fund to learn whatever inspires you—work-related or not.
- Support: Access to 1-2-1 professional coaching and team training to accelerate your career.
Health & Balance
- Premium Health: Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards).
- Flexibility: Genuine hybrid working with a WFH equipment allowance to perfect your home setup.
- Wellbeing: Cycle to Work scheme and a commitment to sustainable, healthy working practices.
For further information contact: talentteam@zaizi.com
Machine Learning Implementation Engineer, AI (SFIA4) in Cheltenham employer: Zaizi
Contact Detail:
Zaizi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Implementation Engineer, AI (SFIA4) in Cheltenham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, having tangible evidence of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI and machine learning. Mock interviews with friends or mentors can help you feel more confident and ready to tackle any challenge thrown your way.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Zaizi!
We think you need these skills to ace Machine Learning Implementation Engineer, AI (SFIA4) in Cheltenham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in machine learning and software engineering, and don’t forget to mention any relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for the Machine Learning Implementation Engineer role. Keep it engaging and personal!
Showcase Your Technical Skills: In your application, be specific about your technical skills and experiences. Mention the ML algorithms and frameworks you’ve worked with, and provide examples of how you've taken models from research to production-ready software.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Zaizi
✨Know Your Models Inside Out
Before the interview, make sure you’re well-versed in the machine learning models and algorithms relevant to the role. Be prepared to discuss how you've taken research-grade AI code and matured it into production-ready software. This will show your technical expertise and understanding of the model maturation process.
✨Showcase Your Problem-Solving Skills
Be ready to share specific examples of complex technical hurdles you've overcome in previous projects. Discuss how you approached these challenges and what solutions you implemented. This will demonstrate your ability to handle non-routine problems and influence technical decisions within a team.
✨Understand System Integration
Familiarise yourself with how machine learning models integrate into broader software architectures. Be prepared to talk about your experience with system integration and how you ensure stability and performance in your deployments. This knowledge is crucial for the role and will impress your interviewers.
✨Emphasise Continuous Learning
The field of AI is always evolving, so highlight your commitment to staying current with best practices. Mention any recent courses, certifications, or self-study you've undertaken related to AI implementation. This shows that you're proactive and dedicated to mastering your craft, which aligns perfectly with the company culture.