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

Apply Now

Machine Learning Engineer

Exoeris
London
1 day ago
Create job alert

We are seeking exceptional individuals who are passionate about software development, large-scale data analytics, and driving AI-led innovation within organizations.

Ideal candidates will demonstrate:

  • 4+ years of experience in a technology consulting environment
  • Strong ability to apply software development best practices and standards to build robust, maintainable solutions
  • Hands-on involvement throughout the entire software development lifecycle
  • Proven experience in guiding non-technical teams and consultants on best practices for scalable and reliable software development
  • Expertise in optimizing algorithms and software design for computational efficiency
  • Motivation to thrive in a fast-paced, client-focused environment, engaging directly with clients to shape new features for future product releases
  • A collaborative mindset, eager to share ideas and co-create solutions within teams
  • A natural problem-solver with intellectual curiosity across diverse industries and topics
  • Master’s degree or PhD in a relevant field (please provide all academic certificates, including A-level, Bachelor, Master, and PhD, with final grades)

Additional Responsibilities:

  • Design and build data & AI platforms for clients, enabling data and generative AI capabilities across multiple use cases and organizational functions
  • Contribute to large-scale AI transformation programs, often as part of strategic journeys led by BCG
  • Work across key engineering disciplines:
  • Cloud Engineering
  • Data Engineering (framework design, not just pipelines)
  • DevOps
  • MLOps / LLMOps

Technologies you’ll often work with:

  • Cloud Platforms: Azure, AWS, GCP
  • Data Tools: Airflow, dbt, Databricks, Snowflake
  • Developer Tooling & CI/CD: GitHub, Azure DevOps, Terraform (or other Infrastructure-as-Code tools)
  • MLOps / LLMOps Frameworks: MLflow, AzureML, LangSmith, La

Related Jobs

View all jobs

Machine Learning Engineer (Databricks)

Machine Learning Engineer - AI and Automation

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

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

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

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

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.

Jobs

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.

🍪 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.