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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 London or Paris with excellent career growth opportunities.
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 London 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 London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to AI and defence. Use platforms like LinkedIn to connect with current employees at the company you're eyeing; they might just give you the inside scoop or even refer you!
✨Tip Number 2
Prepare for that live coding task! Brush up on your Python and FastAPI skills, and practice coding challenges. We recommend using platforms like LeetCode or HackerRank to get comfortable with the types of problems you might face.
✨Tip Number 3
Show your passion for AI! During interviews, share your thoughts on recent advancements in machine learning and how they can impact real-world problems. This will demonstrate your enthusiasm and keep you memorable in the interviewer's mind.
✨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’re always looking for talented individuals who are ready to make a difference in the world of AI.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and its real-world applications shine through. We want to see how you can use your skills to tackle complex problems and make a meaningful impact.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Machine Learning Engineer role. Highlight your relevant experience in machine learning, software engineering, and any projects that align with our mission-driven focus.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and ensure your key achievements stand out. This helps us quickly see why you’d be a great fit!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
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, like Python, FastAPI, and open-source LLMs. Brush up on your coding skills and be ready to demonstrate your expertise during the live coding task.
✨Understand the Mission
This company is all about using AI for national defence. Familiarise yourself with their mission and think about how your skills can contribute to solving real-world problems. Be prepared to discuss how your experience aligns with their goals.
✨Prepare for Collaboration
Since the role involves working closely with military experts and product teams, think of examples from your past where you’ve successfully collaborated in a team setting. Highlight your communication skills and how you can thrive in a collaborative environment.
✨Ask Insightful Questions
During the interview, don’t hesitate to ask questions that show your interest in the company’s future and innovation. Inquire about their current projects or how they plan to stay ahead in the AI space. This will demonstrate your enthusiasm and strategic thinking.
