Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior AI Engineer - Remote - LegalTech - Circa. £120k

Futureheads Recruitment | B Corp
Ashton-under-Lyne
7 months ago
Applications closed

Related Jobs

View all jobs

Senior AI Data Engineer

Senior AI Data Engineer

Sr. AI Data Engineer (UK Remote)

Sr. AI Data Engineer (UK Remote)

Sr. AI Data Engineer (UK Remote)

Sr. AI Data Engineer (UK Remote)

Senior AI Engineer - Remote - LegalTech - Circa. £120k


We are working with a rapidly growing LegalTech start up who are looking for aSenior AI Engineerto join them on their journey.


Their platform combines expert human lawyers with cutting-edge AI technology to deliver affordable and expert legal help. Backed by top investors, we’re rapidly growing, with major international expansion on the horizon.


Mission:Leverage AI to democratise access to legal services for everyone!


The tech stack:

  • Python, LangChain, LlamaIndex, LangGraph
  • OpenAI, Gemini or similar
  • AWS, Google Cloud, GitHub Actions
  • PostgreSQL, OpenSearch, Redis
  • DBT, BigQuery


As an AI Engineer, you’ll be tackling complex, abstract problems with the latest AI models and tools, collaborating with a talented team to drive innovation across the full data and engineering stack. You’ll play a key role in researching and experimenting with new approaches, models, and data strategies to advance their AI-powered legal solutions.


You'll also work closely with the engineering team to ensure their R&D efforts are production-ready and scalable. Your work will help evolve their AI products, ensuring they grow rapidly and safely using the best development and testing practices. Additionally, you'll help shape the future of the team through technical leadership and hiring.


What's on offer:

  • Salary: Circa £120k, depending on relevant experience
  • Fully remote from the UK
  • 34 days annual leave
  • Equity
  • Social events and annual meet ups


You must have UK RTW and we can not offer sponsorship on this occasion.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.