AI Engineer in Kennington

AI Engineer in Kennington

Kennington Full-Time 72000 - 88000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead AI projects, turning legal challenges into innovative solutions and prototypes.
  • Company: Join Dentons, a global leader in legal solutions with a focus on inclusion and diversity.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with a commitment to innovation and career advancement.
  • Why this job: Make a real impact by shaping the future of legal practice with cutting-edge AI technology.
  • Qualifications: Experience in AI development, strong Python skills, and excellent communication abilities.

The predicted salary is between 72000 - 88000 £ per year.

Department/Division: Business Technology

Duration: Permanent

Reports to: IT Development Manager

Type of Role: Hybrid

Budget Responsibilities: No

Reference number: 10740

The Role

Reporting to the IT Development Manager, with a dotted line to the Director of Helix, you will be a senior, experienced AI Engineer (FDE) embedded within the Helix team. You will work at the point where legal practice, client needs and advanced AI meet: independently discovering high-value problems, shaping practical solutions, building them and helping take them safely into use. This is a hands-on senior individual-contributor role, combining consulting-style engagement skills with strong engineering judgement. You will turn legal and business workflows into secure, usable AI-enabled products and prototypes, while feeding lessons from delivery into Helix, Business Technology and the wider innovation roadmap.

The role is not a pure data-science or research position, and it is not primarily a front-end role. You should be comfortable building end-to-end working solutions and integrations; where a polished production interface or shared platform component is needed, you will partner with dedicated front-end and software engineers.

Key Responsibilities

  • Forward deployment and solution delivery: Lead discovery and solution design with lawyers, practice groups, clients and business-services teams. Translate ambiguous legal and operational problems into small, testable delivery plans; build, iterate and demonstrate usable AI-enabled solutions; and make clear decisions about what should remain an experiment, be productised or be retired.
  • Agentic AI and LLM engineering: Design and implement reliable agentic workflows, including tool use, retrieval, evaluation, orchestration, guardrails, human-in-the-loop controls and observability. Apply LLMOps practices to evaluate, monitor and improve LLM-based systems, with particular attention to legal accuracy, confidentiality, security, provenance and responsible use.
  • Platforms and technical delivery: Use approved OpenAI capabilities, including relevant API, Skills and Work capabilities, alongside FleetAI and other approved platforms where they best meet the use case and governance requirements. Build production-minded back-end services, APIs, data flows and cloud deployments using Python and appropriate modern engineering practices.
  • Collaboration: Work with Helix Managers on discovery, prioritisation, user outcomes and product direction. Collaborate with front-end engineers, software engineers, platform teams, data governance, information security and architecture colleagues across Innovation and IT to move validated work into supported services.
  • Technical leadership: Act as a technical leader without an initial people-management remit: communicate technical choices, trade-offs, risks and progress clearly; mentor colleagues; create reusable patterns and playbooks; and contribute to recruitment and capability-building as the team grows.
  • Training and support: Help build AI fluency across the function through mentoring, workshops and accessible technical guidance. Stay current with legal AI, foundation models, agentic systems and cloud tooling, translating emerging capability into practical opportunities for the firm.

Experience and Qualifications

  • Substantial, demonstrable experience delivering AI, software or data products in complex, client-facing or regulated environments. We expect a senior practitioner who can operate independently and credibly with stakeholders.
  • Strong practical experience with modern LLM application development and agentic systems. This must include building or operating LLM-enabled applications rather than only consuming off-the-shelf tools.
  • Strong Python engineering skills, including API development, integration patterns, testing and maintainable code. Experience with SQL, Docker, cloud services and CI/CD is expected.
  • Experience deploying solutions on a cloud platform, ideally Microsoft Azure, with a sound understanding of identity, security, data protection and operational reliability.
  • Experience with RAG, embeddings, evaluation frameworks, prompt and version management, model safety controls and observability. Familiarity with OpenAI APIs and enterprise AI platforms is highly desirable.
  • Excellent consulting, communication and facilitation skills: able to build trust, frame problems, make progress amid ambiguity and explain complex matters simply.
  • A relevant degree or equivalent professional experience in computer science, engineering, mathematics, data science or a related discipline. Certifications are welcome but not essential.

What Success Looks Like

  • Trusted partnerships with legal and business teams, leading to a focused pipeline of valuable, feasible AI opportunities.
  • Working solutions that demonstrably improve legal or business workflows and meet agreed security, quality and adoption standards.
  • A clear path from prototype to supported product or platform, with ownership and support expectations understood.
  • Reusable technical patterns and stronger internal capability, reducing the time needed to safely deliver the next AI use case.

Firm Profile

Across more than 80 countries, Dentons helps you grow, protect, operate and finance your organisation by providing uniquely global and deeply local legal solutions. Polycentric, purpose-driven and committed to inclusion, diversity, equity and sustainability, we focus on what matters most to you.

Inclusion and Diversity

We are committed to building an inclusive culture here at Dentons where our people can thrive, regardless of their background or circumstance. As well as being the right thing to do, it makes good business sense too. A richness of backgrounds, experiences and perspectives helps us best serve our clients and the communities in which we operate.

Dentons is committed to providing equal opportunities for all. We welcome applications from everyone including of any age, ethnicity, religion, sex, sexual orientation, gender identity, nationality, neurotype, disability, or with parental or caring responsibilities. We are also “Happy to Talk Flexible Working” and welcome conversations about flexible working arrangements.

Dentons is a Disability Confident employer. Candidates with a disability may choose to apply under the Disability Confident Scheme. We will offer an interview to disabled applicants who meet the minimum criteria for the role. Where application volumes are high, we may offer interviews to those who best meet the minimum criteria, consistent with our approach for all candidates.

During the application process, all applicants have the opportunity to tell us about any adjustments or support they require so they are able to perform at their best. Any information you share with us during the application process is treated in confidence.

If you have any questions about this or the role criteria, please email.

NO AGENCIES PLEASE

If you are interested in applying for this position, we welcome direct applications via our careers page, but if you have any questions beforehand, please email. Enquiries only please – applications will not be accepted via email.

Please note that we will not accept unsolicited CVs sent to the business, nor will we accept any associated terms of business.

AI Engineer in Kennington employer: Dentons

Dentons is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to thrive in their roles. With a strong focus on professional development and growth opportunities, particularly in the dynamic Corporate team, employees benefit from a structured resource management methodology that enhances both client service delivery and profitability. Located across London, Milton Keynes, and Ireland, Dentons offers a hybrid working model that promotes work-life balance while engaging in meaningful projects that drive transformation.

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Contact Details:

Dentons Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer in Kennington

✨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 Dentons 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 Dentons.

✨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 Dentons.

✨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 Dentons 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 Engineer in Kennington

AI Engineering
LLM Application Development
Python Programming
API Development
Cloud Services (Microsoft Azure)
Data Protection
SQL

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 Dentons.

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

✨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 Dentons 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.