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- Tasks: Lead the design and development of innovative AI models and scalable applications.
- Company: Join a forward-thinking tech company focused on data science and machine learning.
- Benefits: Enjoy a competitive salary, health benefits, and opportunities for remote work.
- Why this job: Make a real impact by working on cutting-edge projects in a collaborative environment.
- Qualifications: Experience in software development, particularly with Python and SQL, is essential.
- Other info: Be part of a diverse team committed to inclusivity and professional growth.
The predicted salary is between 30000 - 42000 £ per year.
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 are 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
OUR COMMITMENT 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
Senior Software Engineer employer: Applied Data Science Partners
Contact Detail:
Applied Data Science Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their projects, and be ready to discuss how your skills align with their needs. Practise common interview questions and have examples ready that showcase your experience.
✨Tip Number 3
Show off your work! Create a portfolio or GitHub repository showcasing your projects, especially those related to machine learning and data engineering. This gives potential employers a tangible sense of your capabilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Software Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Software Engineer role. Highlight your experience with machine learning models, data pipelines, and any relevant projects that showcase your skills in Python and SQL.
Showcase Your Projects: Include links to your GitHub or any other portfolio where we can see your work. We love to see real examples of your coding skills and how you've tackled complex software projects in the past.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to describe your experiences and achievements, making it easy for us to see why you’d be a great fit for our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently, so don’t miss out on this opportunity!
How to prepare for a job interview at Applied Data Science Partners
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and cloud platforms like AWS or Azure. Brush up on your knowledge of Docker and Linux scripting too, as these are crucial for the role.
✨Showcase Your Projects
Prepare to discuss specific projects where you've led the design and implementation of machine learning models or data pipelines. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Practice Code Reviews
Since code reviews are a key part of the role, practice explaining your code and providing constructive feedback on others' work. You might even want to do a mock code review with a friend to get comfortable discussing best practices and optimisations.
✨Communicate Clearly
Strong communication skills are essential, especially when presenting findings to clients. Practice summarising complex technical concepts in simple terms, and prepare some examples of how you've effectively communicated in past roles. This will help you stand out as a candidate who can bridge the gap between tech and business.