At a Glance
- Tasks: Design and build ML models for legal tech automation and optimise model serving on AWS.
- Company: Early-stage legal tech SaaS business with a growing customer base.
- Benefits: Hybrid/remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Join a lean team and make a real impact in the legal tech industry.
- Qualifications: 5+ years in AI/ML with strong Python skills and production LLM experience.
The predicted salary is between 63000 - 77000 £ per year.
- Location hybrid/remote
- Reports to
- CTO (permanent role) - No Visa Sponsorship
- The company
An early-stage legal tech Saa S business.
Its platform automates document-heavy legal workflows for law firms and institutional clients.
It has product-market fit, a growing customer base and a lean engineering team.
The role
- Design and build ML models for document parsing, search, classification and summarisation
- Integrate LLMs into product workflows with guardrails, evaluation and monitoring
- Optimise model serving and inference for latency and cost on AWS (ECS, Lambda, S3)
- Build data pipelines for training and evaluation (Postgre SQL, Redis, Open Search)
- Work with engineering, product and QA in Scrum squads, with CI/CD and infrastructure as code already in place
Requirements
- 5+ years as an AI/ML engineer delivering NLP and ML models into production Saa S
- Production LLM experience: RAG, fine-tuning, evaluation, monitoring
- Strong Python, including building APIs and integrating models into applications
- NLP frameworks such as Hugging Face Transformers, Py Torch, spa Cy or Tensor Flow
- AWS and distributed systems
- Data pipelines and orchestration for model training and evaluation
- Nice to have
- Legal tech or another document-heavy domain
- Vector databases and semantic search (Open Search, Pinecone, FAISS)
- Explainability and compliance work on deployed AI
- Knows React or Type Script
- Right to work
No visa sponsorship is available. Applicants must already hold the full right to work in the UK.
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Senior AI Engineer in City of London employer: Parkside
Join a dynamic consulting team in West London as a Workday Financial Lead, where you will have the opportunity to lead impactful finance transformation projects in a hybrid working environment. Our collaborative culture fosters professional growth and offers ongoing development opportunities, ensuring you can maximise your potential while working closely with senior finance stakeholders on high-profile implementations. With a competitive salary and a focus on continuous improvement, this role is perfect for those looking to make a meaningful impact in the world of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in City of London
✨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 Parkside 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 Parkside.
✨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 Parkside.
✨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 Parkside 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 AI Engineer in City of London
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 Parkside.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Parkside 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 Parkside
✨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 Parkside 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.
