At a Glance
- Tasks: Shape the future of AI in a collaborative team, developing advanced solutions for global innovation.
- Company: Join a leading global legal and business information company focused on innovation.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team with a focus on cutting-edge technology and career advancement.
- Why this job: Make a real impact by building AI capabilities that drive meaningful change.
- Qualifications: Experience in AI technologies, Python, and cloud infrastructure; mentoring skills are a plus.
The predicted salary is between 63000 - 77000 £ per year.
Apply below after reading through all the details and supporting information regarding this job opportunity.
Our client is a global legal and business information company.
Are you excited by the opportunity to shape the future of AI-powered intellectual property tools in a collaborative, flexible environment?
Join a dynamic team developing advanced AI solutions and analytics for impactful, global innovation projects .
About the team
At our Intellectual Property Solutions, we bring clarity to innovation.
Our products help the innovation community make better-informed decisions, work more productively, meet regulatory requirements and achieve stronger outcomes.
Every day, our work supports the development of technologies and processes that advance industries—and, ultimately, society.
We are proud to serve the innovators whose ideas help shape a better future.
The AI Platform team builds the capabilities that power AI across our IP's flagship analytics products.
We explore emerging AI technologies and turn them into intelligent, practical features for our customers, alongside reusable tools and services for our internal platform.
You will join a team working with modern, cloud-native infrastructure and play a meaningful role in building our IP's AI future.
About the role
Our IP analytics platform brings together highly curated, enriched datasets; sophisticated analytical tools; streamlined workflows; and powerful visualisations.
It enables essential IP activities including competitive intelligence, benchmarking and portfolio optimisation—all in one place.
As part of the AI Platform team, you will help research, design and deliver the AI capabilities behind these products.
You will work across the full development lifecycle, from evaluating emerging technologies and designing agentic systems to building scalable, cost-efficient production services.
Responsibilities
- Research and evaluate emerging AI technologies for use in customer-facing features.
- Design and build agentic AI systems and AI-powered product capabilities.
- Develop reusable frameworks for evaluating AI quality, safety and performance.
- Build scalable, high-performance and cost-efficient services.
- Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS.
- Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters.
- Mentor junior developers in engineering best practices, including test-driven development with pytest and idiomatic Python.
- Write and review detailed technical specifications for moderately complex system components.
- Participate actively in development processes, code reviews and Scrum ceremonies. xsabvtc
- Collaborate closely with stakeholders across the organisation.
Requirements
- Experience working w
- Please click on the apply button to read the full job description
Senior Machine Learning Engineer I employer: Hackajob
Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer I
✨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 Hackajob 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 Hackajob.
✨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 Hackajob.
✨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 Hackajob 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 Senior Machine Learning Engineer I
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 Hackajob.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Hackajob 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 Hackajob
✨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 Hackajob 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.
