At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions for diverse clients.
- Company: Join a forward-thinking tech company with a collaborative and supportive culture.
- Benefits: Competitive salary, performance bonuses, generous leave, and a £1,000 development budget.
- Other info: Enjoy hybrid working, work from abroad options, and a fun team environment.
- Why this job: Make a real-world impact with cutting-edge machine learning and AI technologies.
- Qualifications: Degree in a quantitative field and experience in leading complex data science projects.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Lead ML Engineer to drive technical project delivery, guiding teams to develop robust, scalable machine learning and generative AI solutions crafted for our clients. If you enjoy seeing the impact of your work in real-world applications, this role is perfect for you. Not only will you play a critical part in client deliverables, but you will also have the chance to explore and apply cutting‐edge machine learning techniques across a variety of industries and geographies, delivering projects end‐to‐end from initial design to production deployment. You will form an integral part of our close‐knit team, directly contributing to the ongoing success of the business. We are seeking someone with a collaborative, can‐do attitude who has a passion for delivering high‐quality solutions and is comfortable leading the delivery of innovative, full‐stack data science and machine learning projects.
KEY RESPONSIBILITIES:
- Lead the design, development, testing, and evaluation of AI solutions for the successful delivery of several, simultaneous client projects
- Build strong client relationships and lead project centred client interactions
- Oversee the delivery of high‐quality code and successful project outcomes
- Build processes for extracting, cleaning and transforming data (SQL / Python)
- Build AI systems using Large Language Models
- Actively seek out new opportunities to learn and develop
- Be an example of data science and software engineering best‐practice e.g. Git / Docker / cloud deployment
- Write proposals for exciting new commercial opportunities
- Line manage and provide career mentorship to other data scientists
- Manage project delivery teams
- Collaborate with stakeholders to understand business needs and develop technical strategies
- Take ownership of the development and implementation of internal processes and policies
- Proactive thought leadership to encourage development and promote ADSP
- Contribute to the development and deployment of delivery solutions
- Ad‐hoc data mining for insights using Python + Jupyter notebooks
- Train and deploy state‐of‐the‐art machine learning and reinforcement learning models
KEY REQUIREMENTS:
- Degree in a quantitative field such as mathematics, statistics or data science
- Experience of strong communication skills, including leading meetings and presenting technical concepts to stakeholders
- Experience of successfully leading complex data science and AI projects, including a holistic understanding of the data science development process, from design through to deployment, and associated project management and risks
- Experience completing code reviews in Python and SQL through Git, and applied other best practices to technical projects
- Experience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for development
- Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees)
- Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning, LLMs)
- Experience of using different analysis techniques to draw insight from complex data
- Understanding of Docker implementations including Docker storage and volumes
- Ability to successfully manage delivery teams
- Understanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursion
- Ability to work with external stakeholders, including management of expectations understanding of business goals and balancing project requirements
- Ability to think strategically and make complex decisions
- Effective organisational skills e.g. planning, time management
- Effective problem‐solving and analytical skills, with high attention to detail
- Familiarity of the most state‐of‐the‐art AI developments and trends
- Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework
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
- 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
Lead ML Engineer in London employer: Applied Data Science Partners
Applied Data Science Partners is an exceptional employer that fosters a collaborative and innovative work culture, perfect for Senior Machine Learning Engineers looking to make a significant impact. With a generous £1k development budget, employees are encouraged to pursue continuous learning and growth, while the hybrid role offers flexibility to balance work and personal life. Located in a vibrant area, the company provides unique opportunities to engage with diverse client projects, ensuring that every team member contributes to meaningful data science outcomes.
Contact Details:
Applied Data Science Partners Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead ML Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or conferences related to machine learning and AI. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and machine learning. Use GitHub to share your code and document your thought process. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with clients and team members alike.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Tailor your application to highlight your experience with leading ML projects and your collaborative spirit.
We think you need these skills to ace Lead ML Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with machine learning and AI projects. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant achievements!
Show Your Passion:Let your enthusiasm for data science and machine learning shine through in your application. We love candidates who are genuinely excited about the field and can demonstrate their commitment to continuous learning and innovation.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and skills, making it easy for us to see why you’d be a great fit for the Lead ML Engineer position.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Applied Data Science Partners
✨Know Your Tech Inside Out
As a Lead ML Engineer, you'll need to demonstrate your expertise in machine learning techniques and tools. Brush up on your knowledge of Python, SQL, and the latest AI developments. Be ready to discuss specific projects where you've applied these skills, showcasing your ability to lead complex data science initiatives.
✨Showcase Your Leadership Skills
This role requires strong leadership and communication abilities. Prepare examples of how you've successfully led teams or projects in the past. Highlight your experience in managing client relationships and guiding teams through the project lifecycle, from design to deployment.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of machine learning concepts and coding practices. Review key algorithms, data processing techniques, and best practices in software engineering. Practising coding challenges in Python can also help you feel more confident during the interview.
✨Demonstrate Your Problem-Solving Approach
Be ready to discuss how you tackle complex problems and make strategic decisions. Use real-world examples to illustrate your analytical skills and attention to detail. Employers want to see how you approach challenges and ensure high-quality outcomes in your projects.
