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

Apply Now

Senior Machine Learning Engineer

Coventry
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer - Crypto

Senior Machine Learning Engineer - Crypto

Senior Machine Learning Engineer - Crypto

Senior Machine Learning Engineer/Computer Vision

Stark Group are hiring now for a Senior Machine Learning Engineer working from home (remote - UK based).

Stark a leading building materials distributor in Northern Europe, is looking for a Senior Machine Learning Engineer who's as passionate about great service as we are.

We provide a fulfilling and enjoyable work environment with ample opportunities for career growth, along with a competitive salary, staff discount, life assurance, and 34 days of holiday (inclusive of bank holidays).

What you'll be doing:

You will play a lead role designing, developing and deploying AI solutions on a product basis and work to further the progress of the AI and Advanced Analytics team. This includes setting direction and being responsible for Machine Learning projects, collaborating with other data areas, our partners and the wider business to transform AI prototypes into production and having responsibility for the management and improvement of deployed models and data pipelines.

You will be required to:

Play a lead role in the design and development of overall AI systems using data science and software engineering best practice and techniques to increase profit, decrease cost and optimize workflow of Stark Group.

Work on a range of projects across the business from Supply Chain to Marketing to positively impact financial performance.

Collaborate and direct Data Scientists to turn prototypes into production-grade AI systems, increasing efficiency in the production of outputs and ensuring that the business has the most up-to-date data available upon which to base key decisions.

Writing production grade Python and SQL for feature engineering and model pipelines, incorporating best practices such as packaging, unit testing, version control and logging ensure that the software we deliver is of high quality, extensible and reproducible.

Collaborate with digital areas to ensure interpretability and reliability of AI systems reducing the need for costly manual intervention.

Play a leading role in contributing to and improving overall team standards and best practice to improve the quality and efficiency of how the team operates and our outputs. Innovate to drive best practices for data within Stark through use of new technologies, Machine Learning and AI, bringing other areas along with us.

Lead on collaborative knowledge sharing and improvements to working practices order to further personal development and data science within Stark.

Nurture and develop good working relationships with the team, project stakeholders and customers to ensure smooth product delivery.

What you'll need to have:

MSc in a relevant discipline (e.g. Computer Science, Data Science, Information technology etc.) or relevant experience.

Experience in a hands-on developer role within an AI team.

Previous programming experience with data in Python and SQL, ideally in Software Engineering, Data Engineering or Data Science.

Knowledge and experience of the Python data & AI stack

Knowledge and experience of development and version control tools and workflows (e.g. Git, Feature branch)

Experience of MLOps and associated tools such as Azure DevOps/Github, MLFlow, Azure ML

Experience working with large datasets/big data architectures; particularly Pyspark / Databricks.

Experience deploying container technologies (e.g. Docker, Kubernetes)

Experience playing a lead role on technical AI projects.

Excellent communication skills with both technical and non-technical audiences

High level of accuracy of work and attention to detail.

Ability and desire to self-learn and pick up emerging technologies.

Positive attitude and outlook and enjoy working as part of a team to share knowledge and ideas.

Desirable

Experience of Data & AI with Azure, particularly Azure ML

Experience working with and deploying LLMs

Experience with deploying cloud resources using infrastructure-as-code, particularly Azure/Bicep

What's in it for you:

Discretionary bonus

A wide range of voluntary benefits including holiday buying, discounted gym membership, car salary sacrifice scheme, Cycle2Work, Benenden Healthcare and more.

Access to a wealth of health and wellbeing services including access to online GP appointments and mental health support

Generous employee discounts

Access to discounts with hundreds of your favourite high street and online retailers

Retirement savings plan

Life assurance

Enhanced maternity/paternity/adoption leave for anyone expecting or adopting a child

Why STARK?

We're proud to be part of STARK Building Materials UK and dedicated to providing top-quality products and exceptional service to our customers. We're a friendly and collaborative team, passionate about what we do and committed to doing it well.

If you're ready to take your career to the next level and join a team that is dedicated to providing great service, we want to hear from you. Apply today

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.