Engineer or Senior Engineer in London

Engineer or Senior Engineer in London

London Full-Time 50000 - 65000 £ / year (est.) Home office (partial)
Magentic

At a Glance

  • Tasks: Join us to develop AI solutions that transform supply chains and enhance customer success.
  • Company: Magentic, a cutting-edge AI company backed by top investors.
  • Benefits: Competitive salary, equity options, hybrid work, and fun team socials.
  • Other info: Dynamic environment with opportunities for growth into product management or leadership roles.
  • Why this job: Be part of an innovative team shaping the future of AI in manufacturing.
  • Qualifications: Proficient in Python with 2+ years of experience and strong data analysis skills.

The predicted salary is between 50000 - 65000 £ per year.

About the job

Backed by global technology visionaries like Sequoia Capital, Magentic brings together world-class AI engineering with procurement expertise. We are looking for brilliant Forward Deployed Engineers to join our team at Magentic. We’re pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. Our mission is to make global manufacturing supply chains robust to an ever-changing world, and to harness the potential of generative AI through thoughtful deployment, maximising benefits while prioritising ethical use and safety.

Forward-Deployed Engineers sit at the intersection of product, engineering, and customer success. You will collaborate closely with customer teams to understand their problems and data, enabling our product engineers to build impactful features. You will be instrumental in shaping solutions and recommending new features for enterprise clients, all while learning and growing your AI skills in a truly AI-first company at the forefront of agentic systems.

What You’ll Do

  • You’ll have a huge impact on both Magentic’s commercial success and our product direction.
  • Build strong relationships with our flagship clients—household names in the enterprise manufacturing space.
  • Analyse large, unstructured data sets—discover value that our customers are missing and help configure our product to surface that value.
  • Collaborate directly with executives & operators—run white-boarding sessions, turn ambiguous requirements into concrete specs, demo our product, and train users.
  • Shape our roadmap—gather insights from customers to determine the highest-priority new features and products.

You Might Be a Great Fit if You

  • Are proficient in Python.
  • Have 2+ years of professional experience.
  • Are a data whizz - can extract insights from large, messy data sets with ease.
  • Can take a loosely defined problem, sketch an architecture, and deliver a production-ready solution in weeks, not months.
  • Can communicate clearly with both engineers and business stakeholders.
  • Are keen to travel to spend time with customers on a regular basis.
  • Are an enthusiastic student and user of AI.
  • Thrive in an early-stage, high-ownership environment—you learn quickly and by doing.

Bonus Points

  • Familiarity with supply-chain, procurement, or manufacturing domains.

Compensation And Benefits

At Magentic, we recognise and reward the talent that drives our success. We offer:

  • Competitive Equity: play a real part in Magentic’s upside.
  • A salary of £50,000-£65,000.
  • Hybrid London HQ (3-4 days in the office/customer site).
  • Lunches provided in our Camden office.
  • Monthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues.
  • Salary sacrifice pension and nursery schemes.
  • Annual team retreat—a fully-funded off-site to recharge, bond, and build.

Our interview Process

There are a few components because it is really important that both we and you have all the information to make a great decision at this stage of our journey. We can move quickly through these stages, so let us know if you have any timelines we need to meet.

  • Culture interview (45 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience and ambitions align with the role.
  • Role-play interview (45 mins): in this step, we present you with a real problem Magentic encounters, and we ask you to design a solution in a whiteboarding exercise.
  • Take home exercise (2-3 hours): analyse a data set similar to one that our clients would provide us, and create a presentation with your findings.
  • In-person interview (2 hours): Come see the office, meet the team in-person, present your work to the tech and commercial teams and do a case-study interview.

Responsible AI Statement

At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment.

Equal Opportunities and Accommodations Statement

Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010.

Engineer or Senior Engineer in London employer: Magentic

Magentic is an exceptional employer that fosters a dynamic and innovative work culture, where Forward Deployed Engineers can thrive at the intersection of AI technology and customer success. With competitive equity, a supportive hybrid work environment in London, and ample opportunities for personal and professional growth, employees are empowered to shape impactful solutions while enjoying a vibrant team atmosphere filled with regular social events and retreats. Join us to be part of a mission-driven company that prioritises ethical AI deployment and values diverse perspectives.

Magentic

Contact Details:

Magentic Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Engineer or Senior Engineer in London

Tip Number 1

Network like a pro! Reach out to current employees at Magentic on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. Building connections can give you insider knowledge and make you stand out.

Tip Number 2

Prepare for the role-play interview by practising problem-solving on the spot. Grab a friend, present them with a random engineering challenge, and sketch out your solution together. This will help you think on your feet and showcase your skills during the actual interview.

Tip Number 3

Don’t just focus on your technical skills; brush up on your communication game too! You’ll need to explain complex ideas clearly to both engineers and business folks. Practise explaining your past projects in simple terms to ensure you can convey your insights effectively.

Tip Number 4

Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Magentic. Don’t miss out on this opportunity to be part of something groundbreaking!

We think you need these skills to ace Engineer or Senior Engineer in London

Python
Data Analysis
Problem-Solving Skills
Communication Skills
Collaboration
Customer Engagement
Technical Architecture Design

Some tips for your application 🫡

Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how you engage with the technology and how it excites you. Share any projects or experiences that highlight your love for AI and its potential.

Tailor Your Application:Make sure to customise your application to fit the role of Forward Deployed Engineer. Highlight your experience with Python and data analysis, and don’t forget to mention any relevant work in supply chains or procurement. We love seeing how your skills align with our mission!

Be Clear and Concise:We appreciate clarity! When describing your past experiences, be straightforward and to the point. Use bullet points if it helps, and make sure to communicate your achievements effectively. This will help us understand your impact at a glance.

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. Plus, it shows you’re keen on joining our team at Magentic!

How to prepare for a job interview at Magentic

Know Your AI Stuff

Make sure you brush up on your AI knowledge before the interview. Understand the latest trends and technologies in AI, especially those related to agentic systems. Being able to discuss how these technologies can be applied in real-world scenarios will impress the interviewers.

Data Analysis Skills are Key

Since you'll be dealing with large, unstructured data sets, practice analysing similar data before your interview. Prepare to showcase your ability to extract insights and present them clearly. This will demonstrate your problem-solving skills and your readiness for the role.

Prepare for Role-Play Scenarios

Expect a role-play interview where you'll need to design a solution on the spot. Familiarise yourself with common challenges in supply chain and procurement. Practising whiteboarding solutions will help you think on your feet and show your collaborative spirit.

Show Your Enthusiasm

Magentic is looking for someone who thrives in a high-ownership environment. Be ready to share examples of how you've taken initiative in past roles. Your enthusiasm for AI and eagerness to learn will resonate well with the team and highlight your fit for the company culture.