Senior AI Engineer

Applied Data Science Partners; City Of London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A data science consultancy in London seeks a Senior AI Engineer to contribute to the design and deployment of innovative data science solutions. The role involves working collaboratively to train state-of-the-art machine learning models and present insights using tools like Tableau and PowerBI. Ideal candidates will have a strong quantitative background, experience in Python and machine learning, and excellent communication skills. This position offers an opportunity to be part of a leading team that values inclusion and personal development.

Qualifications

• PhD in a quantitative field is highly desirable.
• Experience with applied machine learning models.
• Ability to work collaboratively in a data science team.

Responsibilities

• Contribute to design and development of data science solutions.
• Train and deploy machine learning models.
• Present insights in live dashboards.

Skills

Applied machine learning techniques in Python

Deep learning frameworks

Data analysis libraries (e.g. sklearn, Pandas, NumPy)

SQL

Experience presenting technical concepts

Organisational skills

Strong problem-solving skills

Attention to detail

Education

Degree in a quantitative field (mathematics, statistics, or data science)

PhD in physics

Tools

Git

Python

Jupyter notebooks

Tableau

PowerBI

Job description

We are looking for a Senior AI Engineerwhoenjoys 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 computational simulation/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

INTERVIEW PROCESS:

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

Stage 2: 30 mins live coding task

Stage 3: 90 min F2F interview including technical exercise, in our London office

OUR COMMITTMENT TODEI:

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 [e-mail]