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- Tasks: Develop AI solutions to tackle high-stakes problems in national defence.
- Company: Exciting early-stage company led by ex-Palantir and OpenAI experts.
- Benefits: Comprehensive travel coverage, childcare support, generous parental leave, and gym membership.
- Why this job: Join a mission-driven team revolutionising operational planning with cutting-edge AI technology.
- Qualifications: MSc in Machine Learning and 5+ years of relevant experience required.
- Other info: Hybrid work in vibrant London or Paris locations with excellent career growth.
The predicted salary is between 36000 - 60000 £ 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.
Position location (hybrid): London (Shoreditch) or Paris (Le Marais). 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
This company is not currently offering sponsorship to foreign candidates. If you are not able to live and work in either Paris or London without sponsorship, please do not apply.
Machine Learning Engineer in Slough employer: Higher - AI recruitment
Contact Detail:
Higher - AI recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can lead to insider info and even referrals, which can give you a leg up in the hiring process.
✨Tip Number 2
Prepare for those coding tasks! Brush up on your Python and FastAPI skills, as well as any relevant machine learning techniques. Practising with real-world problems can help you feel more confident when it comes to the live coding task.
✨Tip Number 3
Show your passion for AI! During interviews, share your thoughts on how AI can solve complex problems, especially in defence. This will demonstrate your enthusiasm and alignment with the company's mission-driven approach.
✨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, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Machine Learning Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with AI technologies and any relevant projects you've worked on. We want to see how your skills align with our mission-driven approach!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to solving real-world problems. Let us know why you're excited about joining our team and what makes you a great fit.
Showcase Your Projects: If you've got any personal or professional projects that demonstrate your machine learning expertise, don’t hold back! Include links or descriptions in your application. We love seeing practical applications of your skills.
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 innovative team!
How to prepare for a job interview at Higher - AI recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and FastAPI. Brush up on your skills with open-source LLMs and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex machine learning problems in real-world scenarios. Be ready to explain your thought process and the impact your solutions had, especially in high-stakes environments.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your ideas clearly. Think about how you can explain technical concepts to non-technical stakeholders, as you’ll likely be working closely with military experts.
✨Research the Company’s Mission
Understand the company’s goals and how they intersect with national defence. Being able to discuss their mission-driven approach will show your genuine interest and alignment with their values during the interview.
