At a Glance
- Tasks: Engineer cutting-edge AI systems and develop decision-making loops for intelligent tools.
- Company: Innovative tech firm leading the charge in AI development.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Join a team pushing the boundaries of AI and make a real impact.
- Qualifications: 5+ years in machine learning with strong coding skills in Python and JVM languages.
The predicted salary is between 85500 - 104500 £ per year.
We are building the next generation of intelligence. This isn’t just about calling an API; it’s about engineering the plumbing, the memory, and the reasoning logic that allows AI to navigate complex datasets. You will be responsible for delivering fast, brilliant, and architecturally sound solutions.
What You’ll Own:
- Cognitive Architecture: Beyond simple prompts, you will engineer the decision-making loops (agents) that allow our tools to self-correct and execute multi-step coding tasks.
- Context Engineering: Develop the retrieval and embedding logic that ensures the model “sees” the right data at the right time, minimizing noise and maximizing signal.
- System Integrity: Move beyond “vibe-based” testing. You’ll build rigorous, automated frameworks to quantify model behavior and prevent regressions in production.
- Model Lifecycle: Own the decision between fine-tuning a specialized small model versus orchestrating a frontier LLM, balancing latency with reasoning depth.
- Technical Leadership: Act as the “Engineer’s Engineer,” setting the standard for how we write production-grade ML code and mentor the team on high-stakes delivery.
Your Technical Toolkit:
- The GenAI Stack: Extensive experience with the “Agentic” ecosystem (orchestration frameworks, vector-native databases, and semantic search).
- Production ML: A history of shipping models that actually handle traffic. You know that “done” means deployed, monitored, and stable.
- Code-Fluent: You are a strong software engineer. You are as comfortable in the depths of a Python backend as you are tweaking a model’s temperature. Familiarity with JVM-based languages (Java/Kotlin) is a significant edge.
- The Scientific Method: You don’t guess; you experiment. You have a background in statistical validation and know how to prove a model’s value via data.
Why You’re a Fit:
- You find the “unknowns” of Agentic AI exciting, not paralyzing.
- You believe that a model is only as good as the data pipeline feeding it.
- You are tired of “wrapper” apps and want to build deep, integrated AI systems.
- You have 5+ years of total ML experience, with a heavy recent focus on the LLM frontier.
Senior Machine Learning Systems Engineer employer: iForce Connect
As a Senior Machine Learning Systems Engineer in London, you will join a forward-thinking team dedicated to pioneering the next generation of AI technology. Our vibrant work culture fosters innovation and collaboration, providing ample opportunities for professional growth and mentorship. With a focus on cutting-edge projects and a commitment to employee well-being, we offer a unique environment where your contributions will directly impact the future of intelligent systems.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Systems Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like iForce Connect!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Machine Learning Systems Engineer at iForce Connect.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like iForce Connect.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Machine Learning Systems Engineer at iForce Connect, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Machine Learning Systems Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at iForce Connect, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at iForce Connect. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at iForce Connect
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at iForce Connect!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
