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

Apply Now

AI and Machine Learning (ML) Developer, Oxford UK

CVM Recruit Ltd
Oxford
1 week ago
Applications closed

Related Jobs

View all jobs

Legal Counsel – AI and Machine Learning

Consultant - Manager, Data Science and Machine Learning, AI & Data, Defence & Security

Consultant - Manager, Data Science and Machine Learning, AI & Data, Defence & Security

Graduate Machine Learning Engineer Programme

Principal Data Scientist - AI Leader (Hybrid, High Impact)

Principal Data Scientist

Our client is currently seeking an experienced and talented ML Developer to join their dynamic team.

The successful candidatewill have the skill set to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions on cloud platforms.You will be familiar with big data tools and technologies for handling large datasets and have hands-on experience with cloud providers like Google Cloud Platform (GCP).

Responsibilities:

  • Utilise cloud platforms (e.g. Google GCP) and Cloud AI solutions (e.g. gemini.google.com, notebooklm.google.com) to build and deploy scalable AI solutions
  • Process and analyse large datasets to train and evaluate AI/ML models
  • Collaborate with data scientists to optimise model performance and accuracy
  • Develop and maintain AI/ML pipelines for data ingestion, processing, and model training
  • Integrate AI/ML models with existing applications and systems
  • Stay up-to-date with the latest advancements in AI/ML and cloud technologies
  • Contribute to the development of AI/ML strategy and best practices

Criteria:

  • Strong analytical skills to interpret data and evaluate AI model performance
  • Proven knowledge of data structures, algorithms, and software design principles
  • Experience with ML frameworks, preferably with cloud platforms (GCP)
  • Proven experience with software development best practices, including version control, testing, and debugging
  • Proven knowledgewith DevOps principles and tools for continuous integration (CI) and continuous delivery (CD) of AI models
  • Ability to design and develop APIs for AI models
  • A bachelor's degree related toComputer Science orArtificial Intelligence


#J-18808-Ljbffr

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.

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.

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.

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.