At a Glance
- Tasks: Develop AI solutions to tackle high-stakes problems and collaborate with military experts.
- Company: Exciting early-stage company at the forefront of AI and national defence.
- Benefits: Generous parental leave, travel coverage, gym membership, and work-from-home allowance.
- Other info: Dynamic hybrid work environment in London or Paris with excellent growth opportunities.
- Why this job: Join a mission-driven team revolutionising operational planning with cutting-edge AI technology.
- Qualifications: MSc in Machine Learning or related field, 5+ years experience, strong software engineering skills.
The predicted salary is between 70000 - 90000 £ per year.
We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers. This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant early-stage funding, including a $10m Seed round in 2024. The founding team is composed of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies.
We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real-world problems with meaningful societal impact. You will be joining a highly collaborative and talented team that is revolutionising how operational planning is conducted at scale and speed.
Primary Responsibilities:- Shape the company’s AI trajectory by developing AI solutions to solve high-stakes problems
- Collaborate closely with military experts, along with the product team, to identify and capitalise on high-impact opportunities
- Keep the company at the forefront of innovation by exploring and applying the latest research
- MSc in Machine Learning, Computer Science, or a related field
- 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation
- Strong software engineering skills with a focus on velocity
- Excellent communication skills and the ability to flourish in a team
- Located in London/Paris and open to working in office
- Python
- FastAPI
- Python, Typescript, or React
- Open source LLMs
- Building for production
- 100% coverage for travel expenses
- Childcare support
- Min. 3 months fully paid parental leave
- 25 days holiday + bonus days for company closure
- Subsidised lunches in office
- Gym membership
- Private medical insurance
- Subsidised coaching/training
- Work-from-home allowance to cover office equipment, desk, chair, monitor etc.
- Fertility support benefits, including financial support for IVF
- Menstrual leave/congé menstruel
- Company off-sites twice per year
- Introductory interview – 45 mins
- Live coding task – 45 mins
- On-site interviews + meet the team – half day
- Final interview with CEO – 30 mins
Machine Learning Engineer employer: Higher - AI recruitment
Join a pioneering company at the forefront of AI and national defence, where your work as a Machine Learning Engineer will directly contribute to transformative solutions for real-world challenges. With a vibrant work culture in the heart of Shoreditch or Le Marais, you'll benefit from generous perks such as comprehensive parental leave, childcare support, and opportunities for professional growth, all while collaborating with a talented team of industry leaders dedicated to innovation and societal impact.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨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 Higher - AI recruitment 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 Higher - AI recruitment.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Higher - AI recruitment.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Higher - AI recruitment that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Machine Learning Engineer
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 Higher - AI recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Higher - AI recruitment 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 Higher - AI recruitment
✨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 Higher - AI recruitment 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.
