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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 AI and machine learning.
- Qualifications: Degree in a quantitative field and proven software development experience required.
- Other info: Dynamic team environment with excellent career growth and mentoring opportunities.
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'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
- 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
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 in London 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 in London
✨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
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning models and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges. Practice explaining your thought process clearly, as communication is key in software engineering roles.
✨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 that extra step to connect with us directly.
We think you need these skills to ace Senior Software Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Software Engineer role. Highlight your experience with machine learning models, data pipelines, and any relevant programming languages like Python and SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for our team. Share specific examples of your past projects and how they relate to the responsibilities listed in the job description. Let us know your passion for data science!
Showcase Your Projects: If you've worked on any exciting projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing real-world applications of your skills. Include links if possible, so we can check them out!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team at StudySmarter!
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 be asked to review a piece of code during the interview, so being articulate about best practices and improvements will set you apart.
✨Communicate Clearly
Excellent communication skills are essential, especially when presenting findings to clients. Practice summarising complex technical concepts in simple terms. This will not only help you in the interview but also in your future role when interacting with non-technical stakeholders.
