At a Glance
- Tasks: Design and deliver enterprise-scale Knowledge Graph solutions for AI-driven applications.
- Company: Join a forward-thinking tech company focused on innovative AI solutions.
- Benefits: Competitive daily rate, fully remote work, and potential contract extensions.
- Other info: Collaborative environment with opportunities to mentor and grow your career.
- Why this job: Make an impact in AI by building scalable, secure platforms with cutting-edge technologies.
- Qualifications: 7+ years in software engineering with strong Python and Neo4j skills.
The predicted salary is between 63000 - 77000 £ per year.
Knowledge Graph Engineer
Location
Remote (UK)
Contract
6 months (Likely Extensions)
Rate
- Up to
- £650/day Outside IR35
Fully remote role within the UK.
Please note
Applicants must have the right to work in the UK. Unfortunately, sponsorship is not available for this position.
The Role
We are seeking an experienced
Knowledge Graph Engineer to design and deliver enterprise-scale Knowledge Graph solutions for AI-driven applications. You will build production-grade platforms using
Neo4j, Graphiti and GLi NER
, ensuring scalability, security and alignment with enterprise architecture standards.
Key Responsibilities
- Design, develop, test and deploy enterprise Knowledge Graph solutions.
- Build scalable, secure and reusable AI platform components.
- Develop Python-based microservices and integrate Azure services, Snowflake, Share Point and REST APIs.
- Implement CI/CD pipelines, automated testing and monitoring.
- Optimise performance, reliability and operational resilience.
- Collaborate with architects, product owners and engineering teams.
- Produce technical documentation, participate in code reviews and support production releases.
- Mentor engineers and promote engineering best practices.
- Required Skills
- 7+ years of software engineering experience.
- Strong Python development skills.
- Hands-on experience with
- Neo4j, Knowledge Graphs, Graphiti and GLi NER
- Experience delivering production solutions on
- Microsoft Azure
- Microservices architecture and REST API integration.
- Docker, Kubernetes, Git, Azure Dev Ops and CI/CD.
- Experience with
- LLMs, Embeddings and Hybrid Search
- Excellent communication and technical documentation skills.
Desirable Skills
- Healthcare, Pharmaceutical or Life Sciences experience.
- Azure Document Intelligence.
- Unstructured. io.
- Graphiti Entity Resolution.
- Hybrid BM25 + Vector Search.
- Cross-Encoder Reranking.
- Multi-tenant Saa S platforms.
- Architecture governance.
Knowledge Graph Engineer employer: Careerwise
Careerwise is an excellent employer that fosters a collaborative work culture, offering flexible working arrangements with just two days a week in the vibrant city of London. Employees benefit from continuous professional development opportunities and are encouraged to innovate in their roles, making it a rewarding environment for those passionate about data quality and governance.
StudySmarter Expert Advice🤫
We think this is how you could land Knowledge Graph Engineer
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at Careerwise who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at Careerwise!
✨Showcase Your Work Online
With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at Careerwise to see what you bring to the table.
✨Leverage Temporary Job Boards
Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!
We think you need these skills to ace Knowledge Graph Engineer
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at Careerwise!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for Knowledge Graph Engineer at Careerwise! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at Careerwise
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that Careerwise uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at Careerwise that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest Careerwise, so it's relevant and sparks conversation during your interview.
