Senior AI Engineer

CompanyApplied Data Science Partners

LocationLondon Area, United Kingdom

Posted At1/25/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (42.0%).

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

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Description

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