ML/Engineer

As a Machine Learning Engineer, you’ll help take machine learning models from development through to robust, scalable production systems.

You’ll work closely with engineers, data scientists, technical leadership and clients to understand challenges, shape solutions and deliver high-quality ML products.

You’ll be involved across the full lifecycle, from technical discovery and architecture through to deployment, optimisation and ongoing improvement., * Build and deploy production-grade machine learning software, tooling and infrastructure.

• Design reusable and scalable solutions that accelerate the delivery of ML systems.
• Work collaboratively with software engineers, data scientists and commercial stakeholders to solve complex client challenges.
• Lead technical discovery, scoping and architectural decisions.
• Help establish and improve engineering standards and best practices for deploying ML at scale.
• Provide technical guidance to clients and partners, making complex machine learning concepts accessible to a range of stakeholders.
• Contribute to the design of secure, reliable and maintainable cloud-based ML platforms.
• Take ownership of technical problems from initial concept through to successful delivery., You’ll be joining an organisation working on high-impact AI projects, alongside experienced engineers, data scientists and technology specialists.

The role offers the opportunity to:

• Work on technically challenging and varied ML projects.
• Build systems that are used in real-world environments rather than remaining in research or proof-of-concept stages.
• Influence technical architecture and engineering standards.
• Work directly with senior technical and client stakeholders.
• Develop your expertise across machine learning, software engineering, cloud and AI infrastructure.
• Have significant autonomy and ownership over your work.

Interested?

If you’re a Machine Learning Engineer who enjoys solving complex problems, building production-grade systems and working at the intersection of AI and software engineering, please apply with your latest CV

They’re looking for someone who combines strong machine learning knowledge with excellent software engineering capability.

You’ll ideally have:

• Strong Python development skills and a solid understanding of software engineering best practices.
• Experience across the machine learning lifecycle, including taking models into production.
• Hands-on experience with frameworks such as Scikit-learn, TensorFlow or PyTorch.
• Experience working with cloud platforms such as AWS, Azure or GCP.
• Knowledge of cloud architecture, infrastructure and security.
• Practical experience with Docker and Kubernetes or similar containerisation/orchestration technologies.
• A good understanding of core machine learning concepts, probability, statistics and common ML techniques.
• The ability to communicate effectively with both highly technical teams and non-technical stakeholders.
• A proactive, delivery-focused approach and the ability to work autonomously in a fast-paced environment.

We’re working with a fast-growing technology consultancy operating at the forefront of AI, machine learning and advanced technology.

The organisation partners with major clients across highly regulated and high-impact sectors, delivering practical AI solutions that move beyond experimentation and into real-world production environments.

Due to continued growth, they’re looking for a Machine Learning Engineer to join a highly technical team and play a key role in designing, building and deploying production-grade machine learning solutions.

This is an opportunity to work on complex, meaningful projects where you’ll have genuine ownership and the chance to influence how machine learning is delivered at scale.