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

Apply Now

Generative AI Engineer

IC Resources
Oxford
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist (Agentic/Generative AI)

Data Scientist (Agentic/Generative AI)

Senior Data Engineer

Data Science and AI Industrial Placement Scheme

Data Science & AI Graduate Scheme (Manchester)

Data Science & AI Graduate Scheme

Generative AI Engineer

Oxford, UK (hybrid)

IC Resources is seeking a Generative AI Engineer to join our client's innovative and fast-paced team. This is an exciting opportunity for a skilled AI professional to contribute to cutting-edge natural language processing and machine learning projects. The successful candidate will leverage their expertise in large language models (LLMs) to design, develop, and deploy impactful AI solutions that push technological boundaries.

Primary Responsibilities:

  • Develop advanced AI algorithms tailored to core product requirements.
  • Deploy AI solutions into secure offline environments, ensuring performance and scalability.
  • Collaborate with the wider AI team to integrate novel language models and data enhancement techniques.
  • Stay informed about the latest developments in LLMs and NLP research to maintain a competitive edge.

Essential Experience:

  • Ability to gain UK security clearance*
  • 3+ years of industry experience related to:
  • Deploying LLMs in search pipelines, knowledge of LLMs design, and their applications in production.
  • Expertise in developing and deploying machine learning pipelines, particularly in NLP.
  • Proficiency in Python for machine learning and experience with Docker for system deployment.

Desired Experience:

  • Background in full-stack development, AWS/cloud infrastructure.
  • Experience with Agile product development and MLOps best practices.
  • Familiarity with building RESTful services and data engineering.

What’s On Offer:

  • £DOE
  • Share options
  • Flexible working hours with hybrid working

How to Apply:

If you are an experienced Generative AI Engineer looking to shape the future of AI technology, apply now for immediate consideration. Contact Chris Wyatt, Principal Recruitment Consultant, for more details about this exciting opportunity.

*Please note you must be a UK citizen to gain the security clearance required

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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.