National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Machine Learning Engineer

InterQuest Group
Liverpool
4 weeks ago
Create job alert

Senior Machine Learning Engineer

Permanent Opportunity

Fully Remote Working


Job Overview:

Machine Learning Engineer (AWS & Time Series Specialization)

We're seeking a forward-thinking Machine Learning Engineer to drive our predictive modeling capabilities.


Key Responsibilities

  • Design and deploy advanced machine learning models using AWS SageMaker
  • Architect robust ML infrastructure and production pipelines
  • Implement model management strategies with MLflow/Metaflow
  • Develop sophisticated time series forecasting solutions
  • Leverage containerization technologies to ensure scalable, efficient deployments


Required Expertise

  • Proven experience deploying ML models in production environments
  • Experience having used ML pipeline orchestration tools, like Airflow, Metaflow, Prefect, Dagster, BentoML - Essential*
  • Advanced skills inAWS SageMaker, cloud-based ML infrastructure
  • Expert-level understanding of time series data modeling
  • Proficiency in containerization (Docker)
  • Strong capabilities withAWS CDK(or Terraform) and workflow management tools


Tech Stack: AWS SageMaker, MLflow, Metaflow, Docker, Time Series Modeling

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

National AI Awards 2025

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.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.