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

Apply Now

Senior Machine Learning Engineer

DeepRec.ai
Warwick
3 days ago
Create job alert

2 days ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from DeepRec.ai

Overview

Pricing & Machine Learning Talent - DACH - Fully SECO & AUG Licensed | Member of Swiss Staffing Association & APSCo Deutschland Trinnovo | B Corp™

A fast-growing technology business is developing advanced software for accounting, payroll, tax, and practice management. With a strong engineering foundation and a clear commercial vision, the company is now expanding its focus on artificial intelligence to transform how professional services operate.

They are seeking a Senior Machine Learning / LLM Engineer to take ownership of LLM operations, multi-agent orchestration, and production-level AI integration across their product suite. This is a key role for an experienced engineer who can deliver real-world AI systems at scale.

Responsibilities

The Role

The successful candidate will design, deploy, and maintain production-grade AI and LLM systems, ensuring stability, scalability, and measurable impact. This position suits someone with solid experience in deploying and managing live AI systems rather than proofs of concept.

  • Developing and maintaining the organisation’s LLM operations platform, including orchestration and observability.
  • Designing and deploying AI solutions using Langfuse, LiteLLM, OpenAI, and Azure OpenAI.
  • Working closely with engineering teams to embed AI capabilities within core products.
  • Implementing and integrating knowledge graph systems such as Neo4j.
  • Working within Kubernetes, .NET/C#/SQL or PHP/Laravel/MySQL environments.
  • Supporting architectural design, scalability, and model performance.
  • Contributing to the wider AI strategy and platform direction.
Candidate Profile

The ideal candidate is a practical problem-solver with strong technical judgement, comfortable working in a fast-moving, start-up style setting. They combine solid engineering skills with the ability to think strategically about architecture and commercial outcomes.

Essential experience and skills
  • Demonstrable production experience with LLM and machine learning systems.
  • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI.
  • Familiarity with graph databases, ideally Neo4j.
  • Experience in cloud environments, containerisation, and CI/CD pipelines.
  • Strong background in either .NET/C#/SQL or PHP/Laravel/MySQL.
  • Ability to solve complex problems under uncertainty and deliver quickly.
  • Clear communication and teamwork skills.
Cultural Fit

This environment rewards initiative, optimism, and pace. The team values people who are commercially aware, collaborative, and capable of shipping production systems rapidly. A positive outlook and a drive to find solutions are essential.

Why Apply

This is an opportunity to join a forward-thinking technology business that is leading the integration of AI within a critical sector. The successful applicant will work with talented colleagues, apply modern tools, and see their work directly influence product innovation and customer success.

Confidential search – further details are available upon request.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology

Referrals increase your chances of interviewing at DeepRec.ai by 2x

Get notified about new Senior Machine Learning Engineer jobs in Warwick, England, United Kingdom.

Senior Machine Learning Engineer - Speech / Voice AI (remote)

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Machine Learning Engineer - Robotics

Senior Machine Learning Engineer/Computer Vision

Senior Machine Learning Engineer - Robotics

Senior Machine Learning Engineer (Spain)

Senior Machine Learning Engineer

Senior 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.

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.

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.