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

Apply Now

Senior Machine Learning Engineer

Manchester
3 days ago
Create job alert

Job title: Senior Machine Learning Engineer

Locations: Manchester or Haywards Heath (hybrid working)

Role overview

Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines.

Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy’s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few.

As a Senior Machine Learning Engineer, you will use your skills to:

Tune machine learning methods to best leverage our state-of-the-art processing capabilities

Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment

Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards

Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation.

You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers.

Key Responsibilities:

Report and communicate with the Senior Machine Learning Stakeholders, such as the Head of Machine Learning, Head of Data Science, and Head of Technical Underwriting

Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software.

Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible.

Tune machine learning methods for optimal performance.

Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles.

Actively contribute to creating a culture of coding and data excellence

Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home

Lead and mentor junior machine learning engineers and share best practices

Key Skills and Experience:

Previous experience in tuning and deploying machine learning methods

Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering

Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc.

Experience with deploying services in Docker and Kubernetes

Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches

Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL)

Experience in source-control software, e.g., GitHub

Proficient at communicating results in a concise manner both verbally and written

Experience in data and model monitoring is a plus

Behaviours:

A high level of professional/academic excellence, educated to at least a master’s level in a STEM-based or DS / ML / AI / or mathematical discipline

Collaborative and team player

Logical thinker with a professional and positive attitude

Passion to innovate and improve processes

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

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 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.