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

Apply Now

Data Science Engineer

City of London
4 days ago
Create job alert

Data Science Engineer

My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy.

Key Responsibilities

  • End-to-end development of AI/ML solutions.
  • MLOps practices: CI/CD, model monitoring, retraining.
  • Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks).
  • Generative AI features: embeddings, RAG, AI agents.
  • Clean, testable code with modern engineering practices.
  • Align with enterprise architecture and governance.
  • Collaborate with architects and stakeholders.
  • Lifecycle management of models.
  • Pilot emerging technologies.

    Experience & Skills

  • 2-4 years in production-level AI/ML delivery.
  • Legal/professional services experience is a plus.
  • AI/ML frameworks: PyTorch, TensorFlow, LangChain.
  • Cloud: Azure (preferred), AWS, GCP.
  • MLOps: CI/CD, model lifecycle, monitoring.
  • Generative AI: LLMs, RAG, chat agents.
  • Data engineering alignment: ETL, governance.
  • Strong coding, communication, and collaboration skills.
  • Strategic thinking, problem-solving, and stakeholder engagement.

    In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position.

    DGH Recruitment Limited acts as both an Employment Agency and Employment Business

Related Jobs

View all jobs

Data Science Engineer

Senior Data Science Engineer, American Football

Senior Data Science Engineer, American Football

Lead R Engineer / Data Scientist - Integrated Pest Management & Soil Science

Lead R Engineer / Data Scientist - Integrated Pest Management & Soil Science

Data Scientist

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.