Lead ML Engineer

CompanyApplied Data Science Partners

LocationLondon Area, United Kingdom

Posted At3/5/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (36.0%).

Occupation Type

Telecoms and related network installers and repairers

Occupation Code Skill LevelMedium Skilled

Sponsorship Salary Threshold

£41,700 (£21.38 per hour)

Standard minimum applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Applied Data Science Partners. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

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

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