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.

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

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

INTERVIEW PROCESS:

Stage 1: 20 min video call with a member of the hiring team

Stage 2: 60 min live coding task

Stage 3: 90 min F2F interview incl. presentation in our London office

OUR BENEFITS:

At ADSP, we believe in rewarding talent and supporting your growth. Here’s what you can look forward to as part of our team:

• Competitive compensation package including annual performance bonus

• 26 days of annual leave, 8 bank holidays plus your birthday off

• BUPA Private Healthcare

• Enhanced family leave

• £1,000 annual development budget

• Flexible hybrid working (2 days a week in our modern Shoreditch office)

• Remote working from anywhere in the world for up to 4 weeks each year

• Latest tech that suits you: high-spec Windows machine or MacBook

• Free snacks and drinks, and regular team socials

• Supportive entrepreneurial environment offering a ton of autonomy and opportunity to work on a variety of projects, technologies and industries

Join us and realise your full potential in a collaborative, forward-thinking team, where your work will help shape the future and have real impact.

OUR COMMITTMENT TO DEI:

At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at careers@adsp.ai