Machine Learning Engineer

Leonardo Hotels; Remote; GBP 90,000 - 100,000; Full time

Job summary

A leading hotel chain is seeking a Machine Learning Engineer to work within their Cyber & Security Division. This role involves shaping secure data systems and AI capabilities that support important sectors such as Defence and Telecommunications. Responsibilities include building and scaling machine learning models, collaborating with teams, and developing deep learning architectures. The position offers competitive salary between £90-100K annually, along with generous benefits and flexible hybrid work options.

Benefits

Generous leave

Company-funded pension scheme

Free mental health support

Bonus scheme

Access to online courses

Referral reward programme

Flexible benefits spend

Hybrid work options

Qualifications

• Strong understanding of deep learning architectures.
• Experience deploying models via APIs and containerization.
• Proficient in machine learning frameworks such as PyTorch or TensorFlow.

Responsibilities

• Build, integrate, test and scale models including NLP and Computer Vision.
• Own the full machine learning lifecycle.
• Develop deep learning architectures tailored to complex use cases.

Skills

Deep learning model architecture

Machine learning integration

Model deployment via APIs

Containerization

Proficiency in PyTorch or TensorFlow

MLOps workflows

Python

SQL

Critical thinking

Data pipeline development

Tools

Apache Spark

Job description

Machine Learning Engineer – Leonardo UK

Within Leonardo UK’s Cyber & Security Division, the Data Practice focuses on unlocking data power across high‑stakes domains such as Defence, Telecommunications, Energy and Finance. This Machine Learning Engineer will shape secure data systems and AI capabilities at the heart of our national infrastructure, working with both enterprise IT and bespoke Operational Technology in a fast‑paced, collaborative environment.

Responsibilities

• Build, integrate, test and scale models including NLP and Computer Vision.
• Own the full machine learning lifecycle – development, training, productionisation, adhering to best practices, security needs and quality assurance.
• Develop deep learning architectures and implement neural networks tailored to complex use cases.
• Implement and maintain MLOps workflows.
• Collaborate closely with Data Engineers and DevOps teams to support continuous integration, deployment and automation.
• Explore new tools and frameworks to keep solutions modern and efficient.
• Work with cloud‑native platforms, Linux/Windows environments and big data technologies such as Apache Spark.
• Engage directly with stakeholders to align model development with product and business goals.

Qualifications

• Strong understanding of deep learning model architecture and when to use them.
• Understanding of how machine learning components integrate within broader system architecture.
• Experience deploying models via APIs.
• Hands‑on containerisation experience.
• Proficiency in machine learning frameworks such as PyTorch or TensorFlow.
• Knowledge of model architectures, loss functions, tools and techniques.
• Experience developing and training models, including hyper‑parameter tuning and optimisation.
• Experience with MLOps workflows such as CI/CD pipelines.
• Python and SQL proficiency.
• Critical thinking and problem‑solving skills.
• Experience developing data pipelines, including ETL processes.
• Understanding of software engineering principles – OOP, TDD, unit testing.
• Strong version control and unit‑testing best practices.
• Ability to communicate technical concepts to non‑technical colleagues.

Benefits

• Generous leave, up to 12 additional flexi‑days each year.
• Company‑funded pension scheme with up to 15% employer contribution.
• Free access to mental health support, financial advice and employee‑led networks championing inclusion and diversity.
• Bonus scheme for employees at management level and below.
• Free access to 4 000+ online courses via Coursera and LinkedIn Learning.
• Referral reward programme.
• Flexible benefits spend up to £500 annually on private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships, etc.
• Flexible working with hybrid options; part‑time opportunities discussed on a case‑by‑case basis.

Additional Information

This role is subject to pre‑employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). Additional NSV controls may apply (SC or DV).

Location: Remote – UK. Salary: £90‑100 K per year + benefits. Start date: Immediate.