We are looking for a Senior Software Engineer to lead the design, development, and implementation of machine learning models, build scalable applications, and optimise workflows.Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment.

We're looking for someone with a co-operative, can-do attitude who can build high-quality data engineering solutions.

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

KEY RESPONSIBILITIES:

• Lead the design, development, and implementation of complex AI models and algorithms
• Define data collection, cleaning, and pre-processing strategies
• Architect and maintain robust data pipelines and data management systems
• Lead the training of machine learning models, ensuring high performance and scalability
• Build processes for extracting, cleaning and transforming data (SQL / Python)
• Optimize model parameters and architectures for maximum efficiency and accuracy
• Ensure seamless integration of AI solutions with existing systems and applications
• Stay updated with the latest advancements in AI and machine learning
• Present findings to clients through written documentation, calls and presentations
• Be an example of software engineering best-practice e.g. Git / Docker / cloud deployment
• Contribute to proposals for exciting new data science opportunities
• Provide direction and mentoring to more junior software engineers

REQUIRED SKILLS:

• Degree in a quantitative field such as engineering, mathematics, finance
• Proven experience of successfully delivering complex software projects
• Proven experience of delivering design, development, testing, and deployment of software solutions and holistic understanding of the software development process, from design through to deployment, and associated project management and risks
• Proven experience of code reviews in Python and SQL through Git, and applying other best practices to technical projects
• Proven experience of developing data engineering pipelines, backend services and APIs
• Proven experience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for development
• Extensive knowledge of software engineering concepts and principles with a deep understanding of emerging technologies and industry trends
• Deep expertise of at least one programming language
• Deep understanding of cloud deployment (e.g. AWS, Azure) Linux scripting (e.g. bash)
• A holistic understanding of the software development process, from design through to deployment, and associated project management and risks
• Advanced Docker with deep understanding of Docker storage and Volumes, linux permissions
• Understanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursion
• Excellent communication skills through written reports and presentations
• Ability to review others' code
• Ability to effectively line manage and mentor

INTERVIEW PROCESS:

Stage 1: 20 min video call with the Hiring Manager

Stage 2: Task/Case Study

Stage 3: 90 min F2F interview in our London office

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