Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Senior Data/Mlops Engineer

Tech1M
Manchester
1 week ago
Create job alert

About the Role

We're looking for an experienced Data/MLOps Engineer with a startup mentality, who will work at the heart of a dynamic, multidisciplinary and agile team. As the more senior data engineer on the team, you'll spend most of your time working across data and software development teams, ensuring the data science pipeline flows seamlessly as part of the product, focusing on quality, automation and security.

Key Responsibilities

  • Data pipeline design & management:build and maintain robust, scalable data pipelines for ML model training and inference. Ensure data is clean, versioned, and well-documented. Work with batch and real-time (streaming) data sources
  • Model deployment and product integration:package and deploy ML models into production environments using tools like Docker, and cloud-native services (e.g., Vertex AI, MLflow); design and manage scalable model inference systems (APIs, batch jobs, or streaming) so they integrate well into the core product user journeys.
  • Model monitoring & maintenance:implement monitoring for model performance (accuracy, drift, latency). Set up alerts and observability tools to track data/model health in production. Automate retraining workflows based on triggers (e.g., data drift, performance drop).

Role Summary:

  • End-to-End ML workflow automation:data ingestion, preprocessing, model training, validation, deployment, and monitoring; ensure reproducibility and consistency across environments (dev, demo, prod).
  • Robust Data Engineering:design and build high-quality data pipelines that feed ML models. Manage feature engineering, feature stores, and real-time data transformation.
  • Governance & Compliance:track and version data, models, and experiments . Ensure auditability, compliance, and reproducibility of ML workflows.
  • Collaboration across product roles:work closely with: data Scientists to productionise models; Software engineers to integrate product features and manage infrastructure. Product and Analytics teams to understand data and performance needs.

We’d love to hear from you, if you have…

  • Demonstrable understanding of best practices in software engineering
  • Proficiency in at least one general purpose programming language (Typescript/Python) with willingness to learn new languages and technologies
  • Working productive experience with Linux environment and Docker
  • Experience running production systems on the cloud infrastructure/platforms (AWS/Azure/GCP) - GCP experience is a plus
  • Passion for MLOps & Machine Learning Infrastructure tooling (e.g. MLFlow) that you’d like to see implemented at Good With
  • Enjoy participating in the full lifecycle of the software product: from idea and design, via implementation and user interface, to operational considerations
  • Be able to write clean code, take pride in your work and value simplicity, testing and productivity as part of your daily routine, always putting user experience first
  • Fintech/Financial Services experience is a bonus

Related Jobs

View all jobs

Senior Data/Mlops Engineer

Associate Director, Data Science

Senior Data Scientist – Data Science & GenAI

Senior Data Scientist – Data Science & GenAI

Commercial Data Scientist

Senior Data Scientist / Machine Learning Engineer - GenAI

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.

Automate Your AI Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

If you’re searching for AI jobs in 2025, you’re juggling dozens of tabs, scrolling endless feeds, & rewriting your CV for every application. It’s noisy, repetitive, & easy to miss the best roles. The fix is simple: build a lightweight automation stack that brings relevant roles to you, then use ChatGPT to triage, shortlist, & tailor applications in minutes. This guide shows you exactly how to do it. You’ll get copy-paste prompts, shareable Boolean strings, & practical workflows using Google Alerts, RSS, job boards, & ChatGPT. Set this up once & you’ll save hours every week—without losing quality or control.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.