AI Solutions Engineer in London

AI Solutions Engineer in London

London Full-Time 63000 - 77000 £ / year (est.) Hybrid
F

At a Glance

  • Tasks: Design and implement innovative AI solutions using Python and collaborate with diverse teams.
  • Company: Join Freshfields, a leading global law firm embracing technology and innovation.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Dynamic work environment with a commitment to diversity and inclusion.
  • Why this job: Tackle exciting challenges at the intersection of law, tech, and business.
  • Qualifications: Experience with Python, AI/ML solutions, and strong communication skills.

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

At Freshfields, technology and innovation are embedded into how we work with our clients. We're a global law firm with more than 5,500 people across 33 offices, and we are continuing to advance our innovation strategy including investment in key technology. Our partnerships with Anthropic and Google as well as the investment in Freshfields Lab and AI Academy are but a few examples. Join us to work on some of the most exciting challenges at the intersection of law, technology and business.

Tasks

  • Implement and support the development of Python-based services and applications.
  • Maintain and improve existing AI/ML solutions to enhance performance and scalability.
  • Support troubleshooting and resolve system issues as the designated technical specialist.
  • Set up systems implement solutions for ad-hoc data analysis and document processing exercises.
  • Collaborate with developers, product managers, business stakeholders, IT security, and architecture teams to gather and align requirements.

Continuous Improvement & Innovation

  • Identify opportunities to enhance the firm's technology stack and contribute to its evolution.
  • Introduce and promote best practices in AI/ML solution design, DevOps, and development.
  • Stay up to date with emerging technologies and trends in AI, ML, and software engineering.

Requirements

  • Hands-on experience integrating LLM APIs across one or more enterprise providers, such as Azure OpenAI, Google Vertex AI or Anthropic, including structured outputs, tool use, streaming, retries, rate limits, model versioning and cost controls.
  • Understanding of traditional ML models and algorithms.
  • Hands-on track record working with Python in a professional environment.
  • Development & DevOps: Hands-on experience with git/git-flow, containerization (Docker) and CI/CD pipelines (ideally Azure DevOps).
  • Strong English communication skills to engage with cross-functional stakeholders.
  • Experience with retrieval-enabled and agentic document workflows, including repository navigation, hybrid search and RAG, metadata, OCR, chunking, source citation, tool use, structured outputs and document generation.
  • Experience building production services with Python and Django or comparable web frameworks, including APIs, streaming interfaces and asynchronous or background job processing.
  • Experience working with relational databases, ideally PostgreSQL, including schema design, migrations, and query performance.
  • Prior experience working in legal tech or professional services firms.
  • Knowledge of Azure Cloud, including AKS, Service Bus, Azure OpenAI and Form Recognizer.
  • Experience with infrastructure-as-code tools (Terraform).
  • Experience in agile, fast paced environments.
  • Understanding of the security and compliance requirements of a professional services firm.

UK Inclusion

Freshfields is an equal opportunities employer and all applications received by the firm will be considered by the firm on the basis of their merit alone and we welcome applications from all suitably qualified individuals regardless of background. All offers of employment will be conditional on the candidate having/securing the right to work in the UK and providing the firm with evidence of that right (as required by the Immigration, Asylum and Nationality Act 2006) prior to employment commencing. Freshfields is a Ban the Box employer. We ask applicants to disclose criminal convictions only when a conditional job offer is made. A conviction does not automatically lead to withdrawal of the offer: we make decisions on a case by case basis and take a number of factors into account (eg the role you are applying for and the circumstances of the offence). You would have the opportunity to discuss the matter with us before we make a decision.

AI Solutions Engineer in London employer: Freshfields

Freshfields is an exceptional employer that fosters a collaborative and inclusive work culture, where diversity is celebrated and every employee is valued. With a commitment to professional development and continuous improvement, employees have access to extensive growth opportunities while working in a dynamic international environment. The firm prioritises teamwork and support, ensuring that all staff can thrive and contribute meaningfully to the success of clients and the community.

F

Contact Details:

Freshfields Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Solutions 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 Freshfields 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 Freshfields.

✨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 Freshfields.

✨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 Freshfields 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 Solutions Engineer in London

Python
AI/ML Solutions Development
LLM API Integration
Azure OpenAI
Google Vertex AI
Django
Git/Git-flow

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 Freshfields.

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

✨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 Freshfields 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.