Senior AI Engineer

We are looking for a Senior AI Engineer who enjoys seeing their work used as part of ‘real-life’ solutions. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration with our wider team of Data Engineers and Data Analysts.

In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data science solutions.

If this sounds like you, we can't wait to hear from you!

Key Responsibilities

• Actively contribute to the design, development, testing, and evaluation of data science solutions
• Train and deploy state-of-the-art machine learning and reinforcement learning models
• Build AI systems using Large Language Models
• Build processes for extracting, cleaning and transforming data (SQL / Python)
• Ad-hoc data mining for insights using Python + Jupyter notebooks
• Present insights and predictions in live dashboards using Tableau / PowerBI
• Lead the presentation of findings to clients through written documentation, calls and presentations
• Actively seek out new opportunities to learn and develop
• Be an example of data science best-practice (e.g. Git / Docker / cloud deployment)
• Contribute to proposals for exciting new data science opportunities
• Provide direction and mentoring to more junior data scientists

Required Skills

• Degree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable)
• Experience of presenting technical concepts to stakeholders
• Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions
• Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees)
• Experience with physics modelling highly desirable
• Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning)
• Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices
• Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL
• Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework
• Excellent communication skills through written reports and presentations
• Organisational skills (e.g. planning, time management)
• Strong problem-solving and analytical skills
• High attention to detail
• Ability to work independently and as part of a team

Company Benefits

• Market Competitive Compensation 💰: We benchmark salaries regularly to ensure you're paid fairly for the impact you make
• Annual Performance Bonus 👛: Your hard work deserves recognition, and we reward it with a bonus tied to your performance and our success
• Generous Time Off 🏂: You’ll get 26 days of annual leave plus bank holidays, with additional enhanced sick pay when you need to rest and recover
• Enhanced Family Leave 👨 👩 👧: We offer enhanced maternity and paternity leave to help you focus on what matters most when your family grows
• Your Birthday Off 🎂: It’s your day - enjoy it! On us.
• Annual Development Budget 🎓: We're serious about growth. You’ll get a dedicated £1,000 budget to spend on courses, conferences, coaching, or anything else that helps you level up
• Private Healthcare 🏥: Your health matters. Our comprehensive private health plan includes mental health support and fast access to care when you need it
• Snacks & Socials 🍸: From free drinks and snacks in the office to regular team socials, quizzes, and spontaneous celebrations, we believe fun fuels great teamwork.
• Work From Abroad ✈️: Want a change of scenery? You can work from anywhere in the world for up to a month each year
• Hybrid Working 🏠: We work from the office two days a week to stay connected and collaborate face-to-face, with flexibility the rest of the time

Interview Process

• Stage 1: 20 min video call with a member of the hiring team
• Stage 2: 45 mins Live Coding Task
• Stage 2: 60 min F2F interview in our London office