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Senior Software Engineer Engineering Team · London, UK ·

Applied Data Science Partners

London

On-site

GBP 60,000 - 100,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a Senior Software Engineer to spearhead the design and implementation of advanced machine learning models. In this pivotal role, you will lead the development of scalable applications and optimize workflows, contributing directly to client deliverables. This position offers the chance to work with cutting-edge technologies, manage full-stack data science projects, and mentor junior engineers. Join a forward-thinking team that values collaboration and innovation, and make a significant impact in the realm of data science and AI.

Qualifications

  • Experience in delivering complex software projects and data engineering solutions.
  • Deep expertise in Python and SQL with a focus on code reviews and best practices.
  • Strong understanding of cloud deployment and software engineering principles.

Responsibilities

  • Lead the design and implementation of AI models and data pipelines.
  • Optimize model parameters for efficiency and ensure seamless integration.
  • Mentor junior engineers and contribute to new data science proposals.

Skills

Python
SQL
Machine Learning
Data Engineering
Cloud Deployment (AWS, Azure)
Docker
Git
Linux Scripting
Communication Skills

Education

Degree in Engineering
Degree in Mathematics
Degree in Finance

Tools

SQL Server
Postgres
AWS
Azure
Docker

Job description

We are looking for aSenior Software Engineerto 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

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