At a Glance
- Tasks: Transform AI models into production-ready software and solve complex challenges.
- Company: Join Zaizi, a forward-thinking tech company making a real impact in the public sector.
- Benefits: Enjoy competitive pay, generous leave, and fully funded professional development.
- Other info: Inclusive culture with opportunities for growth and a focus on work-life balance.
- Why this job: Be part of mission-critical projects that enhance the UK's digital infrastructure.
- Qualifications: Experience in machine learning and software engineering is essential.
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 Ltd
Zaizi Ltd is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the Defence Tech sector. With a strong commitment to employee growth, we provide ample opportunities for professional development and a competitive compensation package, ensuring our team members feel valued and motivated. Located in a vibrant area, our culture promotes inclusivity and teamwork, making Zaizi a rewarding place to advance your career while contributing to national security.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Implementation Engineer, AI (SFIA4) in Cheltenham
✨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 Zaizi Ltd!
✨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 Machine Learning Implementation Engineer, AI (SFIA4) at Zaizi Ltd.
✨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 Zaizi Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Implementation Engineer, AI (SFIA4) at Zaizi Ltd, 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 Machine Learning Implementation Engineer, AI (SFIA4) in Cheltenham
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 Zaizi Ltd, 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 Zaizi Ltd. 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 Zaizi Ltd
✨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 Zaizi Ltd!
✨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.
