At a Glance
- Tasks: Lead the development of AI/ML systems and build robust data pipelines.
- Company: Innovative AI and ML consultancy based in Cambridge.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on innovation and agile methodologies.
- Why this job: Make a real impact by working on cutting-edge predictive platforms.
- Qualifications: Experience in AI/ML, cloud integration, and building scalable systems.
The predicted salary is between 63000 - 77000 £ per year.
Our client, a Cambridge based AI and ML Consultancy, have an opportunity for an AI & ML Systems Engineer to join them. The role is mainly remote working with only one day per week when the AI/ML Engineer is required to be on site in Cambridge.
About the role:
Our client is seeking a versatile AI/ML & Systems Engineer to lead the architecture, machine learning development, and cloud integration for a next-generation asset monitoring and predictive platform. In this role, the AI/ML Systems Engineer will bridge the gap between complex time-series telemetry, geospatial data feeds, and predictive domain models. The AI/ML Systems Engineer will be responsible for building robust data and machine learning pipelines, integrating multi-source sensor streams, and developing Real Time visualisation systems to deliver actionable structural safety insights. This position offers the opportunity to take end-to-end ownership of scalable ML systems, from multi-modal data ingestion and distribution modelling to production-grade visualisation dashboards.
Must-have experience:
- Probabilistic Time Series Forecasting: Experience using probabilistic time series methods (e.g., Bayesian, PyMC, Amazon DeepAR) on small or scarce datasets for distribution prediction.
- Data Lake & DBaaS Integration: Proven ability to build scalable cloud data ingestion pipelines and database architectures using Python, PostgreSQL (with PostGIS for spatial data), Redis, or time-series databases.
- API & Middleware Development: Experience building robust RESTful APIs and WebSocket pipelines (using FastAPI, Flask) for streaming low-latency data and alert triggers between processing backends and Front End applications.
- Experience with cloud platforms (e.g., AWS, Azure, or GCP) and Docker for containerising ML applications and microservices, ensuring reproducible environments across cloud platforms.
- Version Control & CI/CD: Proficient with Git, GitHub Actions, or GitLab CI for automated testing, continuous integration, and systematic release cycles.
- Agile Methodology: Track record of working in agile, sprint-based delivery environments to hit strict technical milestones.
AI & ML Systems Engineer in Cambridge employer: Logix Resourcing
Join a well-established not-for-profit organisation in central London as a Digital Product Insight Analyst, where you will thrive in a supportive and collaborative work culture that values employee growth and development. With a hybrid working model, you will enjoy the flexibility of remote work while also benefiting from hands-on experience with cutting-edge digital tools like GA4 and Google Tag Manager. This role offers a unique opportunity to make a meaningful impact on digital initiatives, ensuring your contributions directly enhance user experiences and drive organisational success.
StudySmarter Expert Advice🤫
We think this is how you could land AI & ML Systems Engineer in Cambridge
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Logix Resourcing or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Logix Resourcing.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Logix Resourcing.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Logix Resourcing that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI & ML Systems Engineer in Cambridge
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Logix Resourcing.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Logix Resourcing and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Logix Resourcing
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Logix Resourcing uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
