AI Senior Engineer in London

AI Senior Engineer in London

London Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead the design and deployment of AI features in a cutting-edge legal tech SaaS platform.
  • Company: Join a fast-moving team focused on innovative AI solutions for fund formation and private equity.
  • Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on continuous learning and innovation.
  • Why this job: Make a real impact by developing AI-driven features that enhance user experience and efficiency.
  • Qualifications: 5+ years in AI/ML engineering with strong NLP and production experience.

The predicted salary is between 63000 - 77000 £ per year.

As Senior AI Engineer, you will lead the design and deployment of AI-powered features in a SaaS platform focused on legal tech for fund formation and private equity. You’ll own core NLP/ML components, from parsing and search to summarisation, in a production cloud environment. You work closely with engineers, product managers, and customers to ship reliable, scalable AI features. This role offers high-impact work in a lean, fast-moving team with clear ownership and tangible growth impact.

Responsibilities

  • Design and implement ML models to improve document parsing, search, classification, and summarisation.
  • Integrate LLMs into core product workflows with a focus on reliability, performance, and guardrails.
  • Collaborate with engineers, PMs, QA, and customer-facing teams to deliver AI-driven features.
  • Optimize model serving and inference pipelines for low latency and cost in AWS (ECS, Lambda, S3, CloudWatch).
  • Develop data pipelines for training and evaluation using PostgreSQL, Redis, Elasticsearch/OpenSearch, and S3.
  • Ensure models meet scalability, security, and compliance requirements for enterprise SaaS deployments.
  • Stay current on NLP/LLM advancements and contribute innovations to production.
  • Contribute to documentation, code reviews, and knowledge sharing.

Key requirements

  • 5+ years of AI/ML engineering experience delivering NLP/ML models into production SaaS.
  • Strong fundamentals in ML and hands-on NLP with spaCy, Hugging Face Transformers, PyTorch, TensorFlow.
  • Experience deploying and scaling LLM apps in production (fine-tuning, retrieval-augmented generation, evaluation, monitoring).
  • Proficient Python with API development and integration of AI models.
  • Understanding of distributed systems and AWS (ECS, Lambda, S3, CloudWatch).
  • Experience with data pipelines and orchestration for training, evaluation, and monitoring.
  • Ability to trade off accuracy, cost, performance, and interpretability in applied AI.
  • English at B2+ level for team communication.
  • Excellent communicator and collaborator across technical and non-technical teams.
  • Strong problem-solving with pragmatic, production-ready mindset.
  • Curious, self-motivated, and committed to continuous learning.
  • NLP libraries/frameworks (spaCy, Hugging Face Transformers, PyTorch, TensorFlow).
  • LLM deployment and evaluation (fine-tuning, retrieval-augmented generation).
  • API development and integration of AI models.

AI Senior Engineer in London employer: Antal International Network

As a leading international bank based in London, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Our commitment to excellence is reflected in our competitive salary packages and comprehensive benefits, ensuring that our team members are well-supported in their professional journeys. Joining us as the Chief Risk Officer means becoming an integral part of our Executive Management Team, where you will have the opportunity to shape our risk strategy and contribute to the long-term success of a respected institution in the banking sector.

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Contact Details:

Antal International Network Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Senior Engineer in 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 Antal International Network 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 Antal International Network.

✨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 Antal International Network.

✨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 Antal International Network 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 Senior Engineer in London

NLP
Machine Learning (ML)
Natural Language Processing (NLP) with spaCy
Hugging Face Transformers
PyTorch
TensorFlow
AWS (ECS, Lambda, S3, CloudWatch)

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 Antal International Network.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Antal International Network 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 Antal International Network

✨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 Antal International Network 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.