Principal Machine Learning Engineer at James Fisher And Sons Plc in Westhill, Scotland, United Kingdom | Kablio

Role

Description

ml architecture

mlops

model deployment

cloud infrastructure

advanced modeling

monitoring

Engage senior stakeholders, translating complex ML concepts into clear business value and influencing enterprise AI strategy.
Collaborate with cross-functional teams to align ML solutions with business objectives, regulatory requirements, and ethical standards.
Architect and optimize ML infrastructure and cloud-native environments to improve scalability, maintainability, and cost efficiency.
Lead the end-to-end design, development, and deployment of scalable, secure machine learning solutions in production environments.
Define and implement MLOps best practices across the ML lifecycle, including CI/CD, monitoring, automated testing, and model governance.
Research, prototype, and productionize advanced ML models for time-series, streaming, and sensor data, driving measurable performance improvements.
Establish rigorous documentation and monitoring standards to ensure reliability, transparency, and compliance in deployed ML systems.
Mentor and coach junior ML engineers and data scientists, fostering technical excellence and a culture of innovation.

Requirements

python

mlops

aws

kubernetes

kafka

leadership

Expertise in Python and key data science libraries (NumPy, Pandas, Scikit-Learn, PyTorch, TensorFlow) with strong ML/AI knowledge, including deep learning, time-series modelling, and LLMs (fine-tuning, RAG).
Proven ability to implement MLOps practices and manage the ML lifecycle, including reproducibility, monitoring, automated pipelines, and model governance.
Excellent communication and stakeholder engagement skills, with ability to translate technical concepts into business outcomes and influence senior leaders.
Demonstrated leadership in mentoring teams, problem-solving, and delivering measurable business impact in regulated environments.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and infrastructure tools (Terraform, Kubernetes, Docker), plus software development best practices (testing, version control, CI/CD).
Strong background in distributed computing and real-time data streaming (Kafka, Spark, Ray) and experience with time-series/sensor data optimization.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

£437m Revenue

Annual Revenue

The company generates over £437 million annually, showcasing its significant presence in the global market.

Founded 1847

Founding Year

Established in 1847, the company has a rich history and has evolved into a leading maritime engineering firm.

Evolved into a global marine engineering powerhouse.
A global marine engineering powerhouse.
Fleet underpins ocean-going and coastal transport alongside specialized technical services across energy, defence, and renewables.
Pioneered heavy-lift sea transport and nuclear-fuel carriage in the 1960s, and later developed deep-sea rescue submarines.
Typical projects include offshore oil decommissioning, diving, and ROV operations, and submarine rescue missions.
With subsidiaries like Fendercare, Divex, and JFD, serves sectors from energy and marine to defense, nuclear, ports, and infrastructure.
In 2005, helped rescue seven Russian sailors using its Scorpio 45 submersible—an unusual highlight in its history.

Culture + Values

Committed to safety and environmental protection.
Striving for excellence in every business aspect.
Operating with integrity at the core.
Collaborating with respect, trust, and shared values.
Delivering value for customers and stakeholders.
Innovation is essential for market leadership.

Environment + Sustainability

2050 Target

Net Zero Goal

Achieving net zero carbon emissions by a set未来年份.

Aims to reduce carbon footprint through low-carbon technologies and energy-efficient processes.
Focus on reducing energy consumption, waste, and emissions within operations.
Promotes sustainable practices across all business units.
Progress towards environmental goals is regularly reported and tracked.

Inclusion & Diversity

The company has a commitment to increasing gender diversity within the company.
They aim for a balanced workforce with equal opportunities for all genders.
The company has initiatives in place to promote diversity in leadership roles.
Ongoing efforts to track and report gender-related statistics, aiming for gender parity in all levels of the organization.

Articles

James Fisher hiring post on Reddit

James Fisher & Sons plc profile on Wikipedia

Yahoo Finance profile – Services overview

Role

Description

ml architecture

mlops

model deployment

cloud infrastructure

advanced modeling

monitoring

Engage senior stakeholders, translating complex ML concepts into clear business value and influencing enterprise AI strategy.
Collaborate with cross-functional teams to align ML solutions with business objectives, regulatory requirements, and ethical standards.
Architect and optimize ML infrastructure and cloud-native environments to improve scalability, maintainability, and cost efficiency.
Lead the end-to-end design, development, and deployment of scalable, secure machine learning solutions in production environments.
Define and implement MLOps best practices across the ML lifecycle, including CI/CD, monitoring, automated testing, and model governance.
Research, prototype, and productionize advanced ML models for time-series, streaming, and sensor data, driving measurable performance improvements.
Establish rigorous documentation and monitoring standards to ensure reliability, transparency, and compliance in deployed ML systems.
Mentor and coach junior ML engineers and data scientists, fostering technical excellence and a culture of innovation.

Requirements

python

mlops

aws

kubernetes

kafka

leadership

Expertise in Python and key data science libraries (NumPy, Pandas, Scikit-Learn, PyTorch, TensorFlow) with strong ML/AI knowledge, including deep learning, time-series modelling, and LLMs (fine-tuning, RAG).
Proven ability to implement MLOps practices and manage the ML lifecycle, including reproducibility, monitoring, automated pipelines, and model governance.
Excellent communication and stakeholder engagement skills, with ability to translate technical concepts into business outcomes and influence senior leaders.
Demonstrated leadership in mentoring teams, problem-solving, and delivering measurable business impact in regulated environments.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and infrastructure tools (Terraform, Kubernetes, Docker), plus software development best practices (testing, version control, CI/CD).
Strong background in distributed computing and real-time data streaming (Kafka, Spark, Ray) and experience with time-series/sensor data optimization.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

£437m Revenue

Annual Revenue

The company generates over £437 million annually, showcasing its significant presence in the global market.

Founded 1847

Founding Year

Established in 1847, the company has a rich history and has evolved into a leading maritime engineering firm.

Evolved into a global marine engineering powerhouse.
A global marine engineering powerhouse.
Fleet underpins ocean-going and coastal transport alongside specialized technical services across energy, defence, and renewables.
Pioneered heavy-lift sea transport and nuclear-fuel carriage in the 1960s, and later developed deep-sea rescue submarines.
Typical projects include offshore oil decommissioning, diving, and ROV operations, and submarine rescue missions.
With subsidiaries like Fendercare, Divex, and JFD, serves sectors from energy and marine to defense, nuclear, ports, and infrastructure.
In 2005, helped rescue seven Russian sailors using its Scorpio 45 submersible—an unusual highlight in its history.

Culture + Values

Committed to safety and environmental protection.
Striving for excellence in every business aspect.
Operating with integrity at the core.
Collaborating with respect, trust, and shared values.
Delivering value for customers and stakeholders.
Innovation is essential for market leadership.

Environment + Sustainability

2050 Target

Net Zero Goal

Achieving net zero carbon emissions by a set未来年份.

Aims to reduce carbon footprint through low-carbon technologies and energy-efficient processes.
Focus on reducing energy consumption, waste, and emissions within operations.
Promotes sustainable practices across all business units.
Progress towards environmental goals is regularly reported and tracked.

Inclusion & Diversity

The company has a commitment to increasing gender diversity within the company.
They aim for a balanced workforce with equal opportunities for all genders.
The company has initiatives in place to promote diversity in leadership roles.
Ongoing efforts to track and report gender-related statistics, aiming for gender parity in all levels of the organization.

Articles

James Fisher hiring post on Reddit

James Fisher & Sons plc profile on Wikipedia

Yahoo Finance profile – Services overview