At a Glance
- Tasks: Research and evaluate machine learning models for impactful public sector projects.
- Company: Zaizi, a forward-thinking tech company focused on AI solutions for the UK government.
- Benefits: Inclusive culture, continuous learning opportunities, and the chance to make a real difference.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Join a dynamic team and help keep the UK safe through innovative AI applications.
- Qualifications: Curiosity about AI, software engineering knowledge, and a passion for research.
The predicted salary is between 63000 - 77000 £ per year.
Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements.
hackajob is partnering directly with Zaizi to hire for this role.
Work on exciting public sector projects and make a positive difference in peoples lives.
At Zaizi, we thrive on solving complex challenges through creative thinking and the latest tools and tech.
As a Machine Learning Engineer, youll research machine learning models and evaluate how they can be applied within our specialist domain, working with a small team who deliver AI capabilities for the UK government.
You'll be curious about all flavours of AI from classical ML to the latest generative and adversarial techniques and keen to keep learning as the field moves.
You'll bring a general understanding of software engineering alongside your ML knowledge and enjoy research, experimenting with new approaches and figuring out how they translate into practical capability for our customers.
You'll work closely with a small, high-performing team of engineers and researchers, contributing ideas and picking up new skills as you go.
Our work culture is inclusive, modern, friendly, and democratic.
We look for bright, positive thinking individuals with a can do attitude and a genuine appetite for learning.
Our people enjoy challenging themselves to be the best at what they do, if that sounds like you, you'll fit right in!
And the work itself matters: you'll be helping to keep the UK safe.
Requirements
These are the expected objectives for this role. We are happy to discuss this further during the interview process with the successful candidate.
- Model Research & Evaluation: Research emerging machine learning models and techniques, and assess how they could be applied within our specialist domain.
- Applied AI Research: Turn research into practical proofs of concept, exploring generative, adversarial and other AI approaches.
- Domain Application: Work with the team to understand our customers problems in depth and translate ML capability into solutions that fit their specialist domain.
- Continuous Learning: Keep pace with the fast moving field of AI building knowledge across different model types and techniques and sharing what you learn with the team. xgikmsk
- Core Competencies
- Research Skills: Comfortable reading and evaluating ML research and translating findings into practical ideas worth testing.
- Technology Implementation: Ability to Please click on the apply button to read the full job description
Machine Learning Engineer, AI (SFIA 3) in London employer: Hackajob
Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer, AI (SFIA 3) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Hackajob or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Hackajob.
✨Tap into Online Developer Communities
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We think you need these skills to ace Machine Learning Engineer, AI (SFIA 3) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Hackajob.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Hackajob and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Hackajob
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Hackajob uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
