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

Apply Now

Ai Engineer

TechYard Recruitment
Manchester
8 months ago
Applications closed

Related Jobs

View all jobs

Ai Engineer / Data Scientist

AI Engineer - Data/MLOps

Azure AI Data Engineer

Founding AI Data Engineer

Azure AI Data Engineer

Data Science and AI Engineer (KTP Associate) - REDEPLOYEES ONLY

AI Engineer Opportunity (Generative AI & Machine Learning) – Manchester


Are you passionate about pushing the boundaries of AI and machine learning? Join an innovative team delivering cutting-edge solutions for global clients. We’re looking for an experiencedAI Engineerto work on impactful projects leveraginggenerative AI, advanced machine learning models, andDatabricks.


What You’ll Do:

• Develop generative AI models like GPT, DALL-E, and Stable Diffusion for real-world applications.

• Build advanced ML solutions for classification, recommendations, and more.

• Create scalable AI pipelines using tools like MLflow and Apache Spark.

• Collaborate with teams to design AI systems for diverse industries.


What You’ll Bring:

• 4+ years of AI/ML experience, includingDatabricksexpertise.

• Proficiency in Python and frameworks like PyTorch or TensorFlow.

• Knowledge of cloud platforms (Azure preferred).

• Passion for solving complex problems and innovating in AI.


Why Join Us?

• Impactful, cutting-edge projects with real-world value.

• Career growth in AI, ML, and Databricks technologies.

• Competitive salary, benefits, and flexible work options.


Ready to innovate? Apply today and be part of our AI revolution!

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 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.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.